how to write a research proposal in computer science

Welcome to the on-line version of the UNC dissertation proposal collection. The purpose of this collection is to provide examples of proposals for those of you who are thinking of writing a proposal of your own. I hope that this on-line collection proves to be more difficult to misplace than the physical collection that periodically disappears. If you are preparing to write a proposal you should make a point of reading the excellent document The Path to the Ph.D., written by James Coggins. It includes advice about selecting a topic, preparing a proposal, taking your oral exam and finishing your dissertation. It also includes accounts by many people about the process that each of them went through to find a thesis topic. Adding to the Collection This collection of proposals becomes more useful with each new proposal that is added. If you have an accepted proposal, please help by including it in this collection. You may notice that the bulk of the proposals currently in this collection are in the area of computer graphics. This is an artifact of me knowing more computer graphics folks to pester for their proposals. Add your non-graphics proposal to the collection and help remedy this imbalance! There are only two requirements for a UNC proposal to be added to this collection. The first requirement is that your proposal must be completely approved by your committee. If we adhere to this, then each proposal in the collection serves as an example of a document that five faculty members have signed off on. The second requirement is that you supply, as best you can, exactly the document that your committee approved. While reading over my own proposal I winced at a few of the things that I had written. I resisted the temptation to change the document, however, because this collection should truely reflect what an accepted thesis proposal looks like. Note that there is no requirement that the author has finished his/her Ph.D. Several of the proposals in the collection were written by people who, as of this writing, are still working on their dissertation. This is fine! I encourage people to submit their proposals in any form they wish. Perhaps the most useful forms at the present are Postscript and HTML, but this may not always be so. Greg Coombe has generously provided LaTeX thesis style files , which, he says, conform to the 2004-2005 stlye requirements.

Many thanks to everyone who contributed to this collection!

Greg Coombe, "Incremental Construction of Surface Light Fields" in PDF . Karl Hillesland, "Image-Based Modelling Using Nonlinear Function Fitting on a Stream Architecture" in PDF . Martin Isenburg, "Compressing, Streaming, and Processing of Large Polygon Meshes" in PDF . Ajith Mascarenhas, "A Topological Framework for Visualizing Time-varying Volumetric Datasets" in PDF . Josh Steinhurst, "Practical Photon Mapping in Hardware" in PDF . Ronald Azuma, "Predictive Tracking for Head-Mounted Displays," in Postscript Mike Bajura, "Virtual Reality Meets Computer Vision," in Postscript David Ellsworth, "Polygon Rendering for Interactive Scientific Visualization on Multicomputers," in Postscript Richard Holloway, "A Systems-Engineering Study of the Registration Errors in a Virtual-Environment System for Cranio-Facial Surgery Planning," in Postscript Victoria Interrante, "Uses of Shading Techniques, Artistic Devices and Interaction to Improve the Visual Understanding of Multiple Interpenetrating Volume Data Sets," in Postscript Mark Mine, "Modeling From Within: A Proposal for the Investigation of Modeling Within the Immersive Environment" in Postscript Steve Molnar, "High-Speed Rendering using Scan-Line Image Composition," in Postscript Carl Mueller, " High-Performance Rendering via the Sort-First Architecture ," in Postscript Ulrich Neumann, "Direct Volume Rendering on Multicomputers," in Postscript Marc Olano, "Programmability in an Interactive Graphics Pipeline," in Postscript Krish Ponamgi, "Collision Detection for Interactive Environments and Simulations," in Postscript Russell Taylor, "Nanomanipulator Proposal," in Postscript Greg Turk, " Generating Textures on Arbitrary Surfaces ," in HTML and Postscript Terry Yoo, " Statistical Control of Nonlinear Diffusion ," in Postscript

PhD Assistance

Beginners guide to write a research proposal for a phd in computer science.

• Writing a PhD Doctoral Dissertation Proposal is the critical step in computer science research. Poor writing can turn down (decrees the scope of your research work) and even decrease the chance of getting a PhD.
• The L iterature must contain the outline of the previous work and research work previously carried out in your research area (topic related to your proposed project work).
• Assume it as a research tool that will help you clarify your idea and make conducting your research easier.

• Introduction

The proposal must contain the outline of your general area of study within which your research falls. You have to denote the current state of your knowledge and any current debates related to your research topic; it has to demonstrate your proposed research’s originality.Three major questions that needed to be considered before starting with Research Proposal Writing

A research proposal must sate your idea or research question and expected result with simplicity, clarity and definition.

Why- It must also create a case for why your question is essential and how far your contribution will impact your discipline.

What it must not do is answer the question – that’s what your research will do.

Importance of the Research Proposal

Research proposals are important because they formally outline your intended or in-depth research. Which means you need to offer details on how you will proceed with your research, including:

• your methodology and procedure
• timeline and feasibility
• All other thoughts needed to improve your research, such as resources.

Assume it as a research tool that will help you clarify your idea and make conducting your research easier. High-Quality Research Proposal Writing Service help you in getting high-quality research work.

Planning to write your PhD proposal

Consider the structure of your research proposal writing process before you start writing.

Plan the writing flow of your proposal and stick to the plan. Do not deviate from the plan of your proposal.

The strategy to write a PhD proposal is as follows:

• Work out any pictorial representation that you would like to include
• Describe your methodology
• Express the data to be used
• Propose possible outcomes of studying data
• Bibliography
• Writing your PhD proposal

After completing your PhD proposal plan, the next step is to proceed with your actual writing plan. Consult with your trainer or mentor to ensure you are going in the right direction and consult with experts to get a NO.1 Research Proposal Writing Services . The PhD proposals adopt a more proper style than other writing types — even other theoretical papers you have already written. It is always necessary to clear this up before you start writing.

The Basic Structure OF a Research Proposal

Writing a research proposal is the critical step in computer science research. Poor writing can turn down (decrees the scope of your research work) and even decrease the chance of getting a PhD.

The following are the fundamental procedure that needs to be followed for Writing a Research Proposal of PhD in Computer Science

Proposal Introduction:

The introduction section must contain an overview of your proposed research projects, its key concepts and problems statement or issues. You must able to show the reader or reviewer where your research fits. In general, you have to justify your research work within the field of computer science and then narrow it down to a particular research area (choosing a particular domain) and concern it will focus. Make it clear what exact problem or query your research will address and explain it in a brief research thesis statement.

Literature Review:

The literature must contain the outline of the previous work and research work previously carried out in your research area (topic related to your proposed project work). The main reason for writing a research proposal is to show the reader that you are familiar with what has already been done in the area. And to identify there is a gap in the particular research area that your work will fill.

Research Methods:

It must offer a clear and elaborate detail about the research work you will carry out. Must contain a detailed description of the equipment, techniques, or any other methodology you plan to include in your project should be covered here. Your projected schedule and budget should be added.

Bibliography:

Write a bibliography that cites all resources that were used in your literature review area. Many citing references found but computer science-related research project prepares APA (American Psychological Association) style of citing references format. It should be added at the beginning of your research proposal.  And it is a good way to familiarize others with your research topic, which can help them see the work you have included (relevant literature work). If you are having difficulties writing your research proposal in computer science, our  PhD Thesis Writing Service will Help .

Proofreading for Awesome Results

It is essential to proofread the dissertation work before the final submission to check for grammatical errors and correctness. Plagiarism correction helps in justifying the research work and help to prove the originality of the work.

The best ways of conducting a proofreading PhD proposal are as follows:

• Read the proposal carefully, again and again to yourself to recognize unnatural wording
• Proofreading, again and again, helps in improving the quality of the project work; always take time in-between writing and proofreading, which allow your brain to take rest.
• It is always better to have someone who can help with proofreading, to get a perfect work.

Exactness is never more significant than in a PhD proposal. Make sure intensive proofing is a part of your research proposal plan.

What’s the difference between a Dissertation Proposal and a Research Proposal

Writing a Research Proposal For PhD may be a difficult task. But writing a PhD D octoral D issertation will be much more challenge than that. Any research proposal’s objective is to present and justify the research study’s necessity and identified research problem found in a particular research area. Apart from this, you have to present a way to demonstrate the study from a practical perspective. Always make sure that you are following a slandered and specific guideline for each work.   It is better to learn about the phases of writing a dissertation to better your project work. A dissertation proposal must also contain points that you plan to cover and observe during your research. The main difference found between a research proposal and a dissertation is that the dissertation will not entirely be based on research. Instead, it offers new opinions, ideas, theories, and practices.

If you are ready to write a PhD proposal, no one needs to tell how important it is, that much, you already know. Our tips and Best PhD Proposal Writing Service will help you make a clear and high quality, PhD Doctoral Dissertation Proposal and earn your meritorious doctoral degree.

• Dey, S. (2014). A beginner’s guide to computer science research.  XRDS: Crossroads, The ACM Magazine for Students ,  20 (4), 14-14.
• Kumar, R. (2018).  Research methodology: A step-by-step guide for beginners . Sage.
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Thesis Proposal

In the thesis proposal, the PhD or DES student lays out an intended course of research for the dissertation.  By accepting the thesis proposal, the student’s dissertation proposal committee agrees that the proposal is practicable and acceptable, that its plan and prospectus are satisfactory, and that the candidate is competent in the knowledge and techniques required, and formally recommends that the candidate proceed according to the prospectus and under the supervision of the dissertation committee. It is part of the training of the student’s research apprenticeship that the form of this proposal must be as concise as those proposals required by major funding agencies.

The student proposes to a committee consisting of the student’s advisor and two other researchers who meet requirements for dissertation committee membership.  The advisor should solicit the prospective committee members, not the student. In cases where the research and departmental advisors are different , both must serve on the committee.

The student prepares a proposal document that consists of a core, plus any optional appendices. The core is limited to 30 pages (e.g., 12 point font, single spacing, 1 inch margins all around), and should contain sections describing 1) the problem and its background, 2) the innovative claims of the proposed work and its relation to existing work, 3) a description of at least one initial result that is mature enough to be able to be written up for submission to a conference, and 4) a plan for completion of the research. The committee commits to read and respond to the core, but reserves the right to refuse a document whose core exceeds the page limit. The student cannot assume that the committee will read or respond to any additional appendices.

The complete doctoral thesis proposal document must be disseminated to the entire dissertation committee no later than two weeks (14 days) prior to the proposal presentation. The PhD Program Administrator must be informed of the scheduling of the proposal presentation no later than two weeks (14 days) prior to the presentation. Emergency exceptions to either of these deadlines can be granted by the Director of Graduate Studies or the Department Chair on appeal by the advisor and agreement of the committee.

A latex thesis proposal template is available here .

PRESENTATION AND FEEDBACK

The student presents the proposal in a prepared talk of 45 minutes to the committee, and responds to any questions and feedback by the committee.

The student’s advisor, upon approval of the full faculty, establishes the target semester by which the thesis proposal must be successfully completed. The target semester must be no later than the eighth semester, and the student must be informed of the target semester no later than the sixth semester.

The candidacy   exam  must be successfully completed  before  the  proposal can be attempted.  The proposal must be completed prior to submitting the application for defense. [Instituted by full faculty vote September 16, 2015.]

Passing or failing is determined by consensus of the committee, who then sign the dissertation proposal form (sent to advisors by phd-advising@cs.  Failure to pass the thesis proposal by the end of the target semester or the eighth semester, whichever comes first, is deemed unsatisfactory progress: the PhD or DES student is normally placed on probation and can be immediately dismissed from the program. However, on appeal of the student’s advisor, one semester’s grace can be granted by the full faculty.

Last updated on October 16, 2023.

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PhD Thesis Proposal

After passing the area process you must form a thesis committee and defend a thesis proposal. The proposal defense constitutes the ‘Ph.D. qualifying exam’ discussed in the University’s  Graduate Studies Bulletin  and  Regulations and Policies Concerning Graduate Studies.

Students must perform research that is a significant contribution to the field during their third year. This can be satisfied by:

• Writing a paper that is accepted in a respectable refereed conference or journal
• Producing a paper of similar quality (quality of paper judged by the dissertation advisory committee)
• Incorporating the contribution in the required thesis proposal

Dissertation Advisor and Preliminary Advisory Committee

Soon after passing the area process, you should concentrate on narrowing down your interests to more specific ideas, such as:

• “Truth Maintenance in Natural Language”
• “Collapsing Complexity Classes via Counting”
• “Parallel Visual Shape Recognition”
• “Latency Tolerance in Distributed Shared Memory Systems”

Part of this process will be exploring ideas with faculty and finding a dissertation advisor and a preliminary advisory committee.

All students must register their dissertation advisor and a preliminary advisory committee with the graduate coordinator  no later than December 31 in their third year.

Your advisor will play a major role of guiding you through the process of completing a PhD. Your advisor will:

• Help you in planning your thesis proposal defense
• Point you towards to appropriate literature
• Advise proposal-related (and other) research
• Read drafts of your proposal
• Giving general advice

The advisor also plays a crucial role in the actual exam itself. Choosing an advisor should not be done lightly; changing advisors can significantly delay completion of your studies.

The preliminary advisory committee must contain:

• Your dissertation advisor
• At least three University of Rochester faculty members holding the rank of at least assistant professor
• Three department members*

*This is a department requirement. Exceptions can be granted by the chair.

A faculty member from outside the department can also be included, and must be included when the final dissertation advisory committee is formed in the second term of the third year.

Thesis Topic

After choosing an advisor and a general category, the next step is to decide what you really want to do. This involves finding, with the help of your advisor, a suitable topic.

After choosing a topics students should search through literature to answer the following questions:

• What (if anything) has been done already?
• What has not been done?
• What are the major gaps in previous work?
• What are recognized “next steps”?

After you have a grasp of the area and the problem, you will need to outline how your research will address the problem. This outline should include ideas on:

• How the research will attack the problem
• What it will not attack
• How it will fit in with previous work
• What the essential contribution of the work will be

You should be actively engaged in research on the topic by the fall of your third year.

Dissertation Advisory Committee

Your preliminary advisory committee members will usually become your dissertation advisory committee. If your preliminary advisory committee had no outside member, you must bring one on board at this time.

The committee members should be Rochester faculty members holding the rank of at least assistant professor, and three should be from the Department of Computer Science. (For exceptions, see the section above on forming a preliminary advisory committee .)

Each member must sign your thesis proposal defense form immediately after the thesis proposal defense. Your advisor should promptly return this form to the graduate program secretary.

Producing a Thesis Proposal

This proposal should explain:

• The context of the problem
• The problem itself
• Previous approaches
• Your proposed research

You should also include a well-researched bibliography. The thesis proposal should be of high quality in style, content, and exposition.

The thesis proposal and all other publications you have written during the year should be distributed to the dissertation advisory committee at least ten days before your thesis proposal defense. Students should ideally distribute materials before even scheduling the defense.

The thesis proposal will usually describe your:

• Third-year research
• The specific research directions you will pursue in the immediate future
• The general research directions you will pursue in the more distant future
• The theme that will unify your research into a coherent PhD dissertation

The thesis proposal should demonstrate that you have acquired the skills needed to perform dissertation-quality research. You are expected to have performed new research of substantial strength and novelty since your area paper. Except in exceptional cases, this new research should be appropriate for inclusion in the dissertation.

The thesis proposal should demonstrate that you have the technical strength needed to do PhD-quality research, and the vision to see the “big picture” into which that research fits.

Furthermore, the thesis proposal should show that you not only know how to solve problems, but also how to frame the issues.

Finally, the thesis proposal should demonstrate that you have developed strong and insightful intuitions as to which research themes are promising. The thesis proposal defense serves to verify these points.

In short, the proposal, talk, and exam should demonstrate to the dissertation advisory committee that an entire dissertation is indeed likely to result within a reasonable time frame.

A successful thesis proposal is not a guaranteed formula for producing a successful dissertation. As the research progresses, the research goals may change dynamically, and some initial goals may be too hard to be solved within the time frame.

We therefore expect that the dissertation project will evolve to meet these contingencies, and that this evolution will be the primary topic of six-month reviews.

Scheduling the Thesis Proposal Defense

Once sufficient feedback on the thesis proposal has been gathered, you can schedule the Thesis Proposal Defense. This is best done early in the spring of the third year, though it can be done earlier, and must be done before the spring PAS.

When you are ready to schedule the thesis proposal defense, see the graduate program secretary to reserve a room and date, and to complete a Thesis Proposal Defense Appointment Form.

The graduate program secretary will not schedule more than two events in the same day—one in the morning and one in the afternoon—to ensure the availability of interested faculty members. Students should try to schedule events well in advance to make sure they meet the spring PAS deadline.

Defending the Thesis Proposal

A public presentation is a required part of the thesis proposal defense. It is a chance for you to publicly present your ideas to the community and for your committee to judge both the ideas and the presentation.

The presentation should take no more than an hour, and should concentrate on the proposed research and the current year’s research progress.

You should provide the department secretary with the date, time, place, and abstract of the talk at least ten days in advance. She will then advertise the talk to the faculty, staff, and students.

The actual exam, which will normally occur immediately following the public presentation, is a meeting of the dissertation advisory committee and the student. Other faculty may attend and freely question and comment.

The purpose of the exam is for the committee—now that it has read the thesis proposal and heard the public talk—to ask you further questions and give you feedback. Questions may address any aspect of the proposal, including the actual research, the larger problem, your familiarity with previous work, and your expected attack on specific sub-problems. In addition to direct feedback, the committee will also report to the PAS.

Acceleration

You may choose to attempt the third-year process in your second year. You will be expected to do so if you passed the area process during your first year. There are no delayed requirements in this case; accelerating simply amounts to completing the third-year hurdles one year early.

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

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As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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Tips on Writing a Computer Science Research Proposal

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Writing a research proposal in any discipline is a real challenge, but writing a computer science research proposal requires not only theoretical knowledge and the ability to dig in literature, but also practical experience and relevant background. It is only normal if you feel stuck just beginning to compose your research proposal. Along with the guidelines received from your professor and rules from textbooks, you can benefit from these expert tips written by expert academic writers at WriteMyPaperHub.com academic writing company . Use them to get started and keep going.

Clarity the Problem You Address

The basic idea is to find a field in Computer Science which was previously underestimated or not researched enough. Seeing this field, you need to identify a problem that evolves from this field being not studied enough or an issue that will be solved if you do proper research in this field. It is better if you find at least several problems in one area and present them to your professor or supervisor. He or she will choose one with you, and you can start working on it. Though in the research proposal the problem statement is not the first part of the paper, without deciding on it, you should not start writing at all, or it can all be gone in vain. Sometimes, it is not obligatory to confirm your problem statement with your professor or supervisor, but we strongly recommend to do it to share vision as well as responsibility for the chosen research direction. Someone would say that it sounds like manipulation, but we are sure it is just about efficiency.

Write a Detailed Research Plan

Writing a plan is boring, and it takes too much time, so students often tend to skip this step and go directly to writing. Unfortunately, this approach just doesn’t work. You need to write a thorough plan and confirm it with your professor or supervisor. Without a plan, you will get stuck too often, not knowing what to do next. Being stressed about it, you will start procrastinating, feeling that you don’t have enough progress you will get even more stressed. Lots of computer science research proposals were not submitted on time (or at all!) due to this circle of stress and procrastination. To avoid it, you need a detailed plan. In this case, even if something goes wrong, you always know where to pick up. There are two plans — the one you present to your professor, and the one you use for yourself. Think about yourself as about a manager of this computer science research project and write a plan considering risks, limitations, and strengths.

Elaborate On Research Methods

Unlike in many other disciplines, in Computer Science, methods often exist in the form of algorithms, and you need to prove why the chosen algorithms are the best for the particular research and problem in question. Most probably, you will use combined methods — one classical, and one or two specific for Computer Science. Sometimes, this part should also include time for completion and even budget, if you submit your research proposal as an admission document for grant or scholarship. Don’t overestimate your abilities to write fast and don’t underestimate the costs.

Just Know It’s Going to Be Better

Maybe this point sounds silly, but it is essential to know it. You need to remember, that writing a research proposal for the first time is always challenging, for everyone, not only for you. If you get stuck, it doesn’t mean you are not good enough, or you’ve chosen a wrong path, or you should do something else. More of it, writing a research proposal is often harder than doing research and writing a research report itself. When dealing with a proposal, you have to plan everything in advance, decide on a problem, write a problem (thesis) statement, choose literature, confirm every step, decide on methods, etc. Later you will use this preparation work for your more important papers, such as thesis or dissertation. Think in advance about hardships and come up with some small motivating treats for yourself.

When you are done with writing the main parts, start making formatting and checking your text with grammar and spelling checkers and anti-plagiarism software. Students often overestimate the amount of time they need to write research proposals and don’t have enough time in the end to make final check-ups. Make it a rule to check every 2-3 written pages gradually, and you will both improve your writing skills, rest a little, and make sure when the deadline becomes scarily close, almost entire paper is perfectly formatted and checked for mistakes and plagiarism. Following your plan and thinking in advance will lead you through this challenging period of writing a computer science research proposal. Good luck!

About Author

Bob Buskirk

About 10 years of computer experience. Been messing around with electronics since I was 5, got into computers when I was in highschool, been modding them ever since then. Very interested in how things work and their design.

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

• Algorithms & data structures
• Artificial intelligence ( AI )
• Computer networking
• Database systems
• Human-computer interaction
• Information security (IS)
• Software engineering
• Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

• An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
• A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
• An evaluation of machine learning algorithms used for recommender systems in streaming services
• A review of approximation algorithm approaches for solving NP-hard problems
• An analysis of parallel algorithms for high-performance computing of genomic data
• The influence of data structures on optimal algorithm design and performance in Fintech
• A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
• A comparison of streaming algorithm performance for the detection of elephant flows
• A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
• Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
• Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
• A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
• A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
• Exploring the feasibility of applying information theory to feature extraction in retail datasets.
• Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

• Applying deep learning algorithms for speech recognition in speech-impaired children
• A review of the impact of artificial intelligence on decision-making processes in stock valuation
• An evaluation of reinforcement learning algorithms used in the production of video games
• An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
• An analysis of the ethical and social implications of artificial intelligence-based automated marking
• The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
• An examination of the use of artificial intelligence in orthopaedic surgery
• The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
• An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
• A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

• An analysis of the impact of 5G technology on internet penetration in rural Tanzania
• Assessing the role of software-defined networking (SDN) in modern cloud-based computing
• A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
• Exploring the influence of cloud computing on security risks in fintech.
• An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
• Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
• An evaluation of the challenges and opportunities in 6G wireless network adoption
• The role of network congestion control algorithms in improving network performance on streaming platforms
• An analysis of network coding-based approaches for data security
• Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Topics & Ideas: Database Systems

• An analysis of big data management systems and technologies used in B2B marketing
• The impact of NoSQL databases on data management and analysis in smart cities
• An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
• Exploring the role of data warehousing and business intelligence in global consultancies
• An analysis of the use of graph databases for data modelling and analysis in recommendation systems
• The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
• An examination of the challenges and opportunities of distributed databases in supply chain management
• Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
• An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
• Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

• An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
• An exploration of how artificial intelligence is changing human-computer interaction patterns in children
• An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
• Assessing the influence of virtual and augmented reality on consumer purchasing patterns
• An examination of the use of gesture-based interfaces in architecture
• Exploring the impact of ease of use in wearable technology on geriatric user
• Evaluating the ramifications of gamification in the Metaverse
• A systematic review of user experience (UX) design advances associated with Augmented Reality
• A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
• Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Topics & Ideas: Information Security

• A bibliometric review of current trends in cryptography for secure communication
• An analysis of secure multi-party computation protocols and their applications in cloud-based computing
• An investigation of the security of blockchain technology in patient health record tracking
• A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
• A systematic review of secure data storage solutions used for cloud computing in the fintech industry
• An analysis of intrusion detection and prevention systems used in the healthcare sector
• Assessing security best practices for IoT devices in political offices
• An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
• A comparative study of digital signature schemes adoption in property transfers
• An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

• A study of agile software development methodologies and their impact on project success in pharmacology
• Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
• A study of the impact of DevOps practices on software development and delivery in the healthcare sector
• An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
• A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
• An investigation of software testing techniques and methodologies for subscription-based offerings
• A review of software security practices and techniques for protecting against phishing attacks from social media
• An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
• Exploring the impact of software development outsourcing on project success in multinational contexts
• An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• An array-based optimization framework for query processing and data analytics (Chen, 2021)
• Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
• Embedding constructural documentation in unit tests (Nassif, 2019)
• PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
• Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
• Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
• Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
• Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
• Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
• Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
• Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
• A state-based approach to context modeling and computing (Yue, 2019)
• A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
• HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

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All candidates for the PhD Degree are admitted on a probationary basis. A student's status with the Student Registry is that he or she will be registered for the CPGS in Computer Science . At the end of the first academic year, a formal assessment of progress is made. In the Department of Computer Science and Technology, this takes the form of a single document of no more than 10,000 words in length, exclusive of tables, bibliography and appendices.

The document is principally a PhD Proposal . That is, a document that demonstrates a clear path from the candidate's current position to a complete PhD thesis at the end of the third year. The document has two purposes: (i) to help the candidate to reflect on and plan their research project and (ii) to allow the Computer Laboratory to assess the student's progress and planned research.

In the document, the candidate should do the following:

• Identify a potential problem or topic to address for the PhD.
• identifying the seminal prior research in the topic area
• the most closely related prior work, and
• their strengths and weaknesses.

The goal is to show the limitations (or lack) of previous work. One method that could be employed to do this is to provide both a taxonomy of prior work and a gap analysis table: a table whose rows are the closest related work, the columns are the desired attributes of the solution, and each table entry is a Yes or a No. This would then clearly show that no prior work meets all the desired attributes.

This section of the document might be expected to form the basis of part of the candidate's final PhD thesis.

Candidates should have already done some preliminary research. This may be early attempts at proofs, a detailed analysis of existing methods, a critique of existing systems, assembly and testing of investigative apparatus, conduct of a pilot experiment, etc. This section of the document may form the basis of a chapter of the final PhD thesis. It is common for the candidate to have produced an academic paper (even if this is a minor paper for a workshop, for example), where they are the main author. The paper does not need to have been published, but the assessors should be able to see that it is of potentially publishable quality. Such a paper can be submitted as an appendix to the document; in this case the material in the paper should not be reproduced in the document, but should be summarised briefly in a self-contained way.

This should indicate, at a high level, the research that might be undertaken in the second and third years of the PhD. It needs to show that there is a viable route to a thesis in two years' time. In particular, it must state the specific research question or questions that are being addressed. If there are more than one question being addressed, it needs to be made clear how they are interconnected and how answering them would result in a coherent thesis story. They need to also be accompanied with a brief discussion of why they are important and interesting questions that are worthy of a Cambridge PhD, and why they are new (the gap analysis table could be used for this). Next, the candidate needs to describe the proposed method of attacking the questions, for example, by listing the major steps to completion through the next two years.

Some candidates find it useful to structure this as a cohesive one-page summary of the proposed thesis, with a tentative title, a paragraph setting the context, and three or four paragraphs describing chunks of the proposed research, each of which could be the basis for an academic paper and each of which could be expected to be a chapter of the final thesis. The chapters should make a cohesive overarching narrative of the thesis, rather than be stand-alone pieces of work.

A paragraph identifying criteria for success is recommended where the candidate explains how they will convince the research community that their approach is successful.

Potential risks are recommended to be identified: what could derail this methodology (technically) and if this happens what is plan B?

• Timeplan: provide a detailed timetable, with explicit milestones for each term in the next two years against which the candidate will measure their progress. This would ideally include technical tasks that are planned to be accomplished during each time chunk.

It is essential that the supervisor(s) agrees that the document may be submitted. The document will be read by two other members of staff (assessors), who will interview the student about the content of the document in a viva. It should therefore give sufficient information that the assessors can satisfy themselves that all is well. It is expected that the interview will take place before the end of the first year.

Submission deadlines (electronic)

• For students admitted in Michaelmas Term, by June 30, 23:59
• For students admitted in Lent Term, October 30, 23:59
• For students admitted in Easter Term, by January 30, 23:59

All submissions should be made electronically via the filer.

Electronic version (in PDF format) should be provided via the PhD report and thesis upload page . This deposits uploaded files on the departmental filer at /auto/anfs/www-uploads/phd = \\filer.cl.cam.ac.uk\webserver\www-uploads\phd.

Students intending to take up research placements during the vacations which begin on, before, or shortly after the submission deadlines must submit their report one month before departure to enable the examination process to be completed before the internship begins . No other extensions will be permitted unless otherwise authorized by the Secretary of the Degree Committee.

Oral examination

The student will be invited to discuss the documents with two assessors appointed by the student's principal supervisor. Neither of the assessors should be the student's principal supervisor though one may be the student's second advisor. Occasionally, the principal supervisor may be invited to clarify elements of the PhD Proposal and to attend the viva as an observer.

Where the initial PhD Proposal document is unsatisfactory, the assessors must ask for a revised submission and arrange a further discussion. Where the PhD Proposal is acceptable, it may still help the student to record suggested modifications in a final version of the Proposal. A copy of the revised document must be submitted to the Secretary of the Degree Committee.

The PhD Proposal document is internal to the Laboratory. However, since it is the basis for formal progress reports including registration for the PhD Degree and those made to funding bodies, assessors should endeavour to arrange a meeting where the documents should be assessed and discussed by the end of the student's first year at the latest. The Secretary of the Degree Committee should be informed of the result by the assessors and by the supervisor on the Postgraduate Feedback and Reporting System as soon as possible thereafter.

The report will be considered by the Degree Committee which will make its recommendations on the registration of the student to the Board of Graduate Studies.

In those cases where the student's progress is wholly inadequate, the supervisor should give them a written warning by 15 September (or the appropriate corresponding date - 15 December or 15 March) that they are in danger of termination, with copy to the Secretary of the Degree Committee.

The word limit is a maximum; it is not a target. Successful PhD Proposal documents can be significantly shorter than the limit. Writing within the word limit is important. It is part of the discipline of producing reports. When submitting reports (and the final PhD thesis), students will be required to sign a Statement of Word Length to confirm that the work does not exceed the limit of length prescribed (above) for the CPGS examination.

Originality

Attention is drawn to the University's guidance concerning plagiarism. The University states that "Plagiarism is defined as submitting as one's own work that which derives in part or in its entirety from the work of others without due acknowledgement. It is both poor scholarship and a breach of academic integrity." The Faculty's guidance concerning plagiarism and good academic practice can be found at https://www.cl.cam.ac.uk/teaching/exams/plagiarism.html .

Reports may be soft-bound in comb-binding or stapled.

Secretary of the Degree Committee September 2013, updated September 2021, updated March 2022

Department of Computer Science and Technology University of Cambridge William Gates Building 15 JJ Thomson Avenue Cambridge CB3 0FD

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PhD | Thesis Proposal

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The thesis proposal allows students to obtain formative feedback from their reading committee to guide them to a successful, high-quality dissertation. The thesis proposal (a private session only with the student's advisor/co-advisor and reading committee members) should allow time for discussion with the reading committee about the direction of the thesis research.

Thesis Proposal

The student must present an oral thesis proposal and submit the form to their full reading committee by the Spring quarter of their fourth year. The Thesis Proposal form must be filled out, signed, and approved by all committee members. Submit the PDF form to CS PhD Student Services ( [email protected] ). 

The suggested format for the Thesis Proposal presentation should include:

• A description of the research problem and its significance.
• A description of previous work in the area and the "state of the art" before the student's work. 
• A description of preliminary work the student has done on the problem and any research results of that work.
• An outline of the remaining work to be done and a timeline for accomplishing it .

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Writing a Scientific Research Project Proposal

• 5 minute read

Table of Contents

The importance of a well-written research proposal cannot be underestimated. Your research really is only as good as your proposal. A poorly written, or poorly conceived research proposal will doom even an otherwise worthy project. On the other hand, a well-written, high-quality proposal will increase your chances for success.

In this article, we’ll outline the basics of writing an effective scientific research proposal, including the differences between research proposals, grants and cover letters. We’ll also touch on common mistakes made when submitting research proposals, as well as a simple example or template that you can follow.

What is a scientific research proposal?

The main purpose of a scientific research proposal is to convince your audience that your project is worthwhile, and that you have the expertise and wherewithal to complete it. The elements of an effective research proposal mirror those of the research process itself, which we’ll outline below. Essentially, the research proposal should include enough information for the reader to determine if your proposed study is worth pursuing.

It is not an uncommon misunderstanding to think that a research proposal and a cover letter are the same things. However, they are different. The main difference between a research proposal vs cover letter content is distinct. Whereas the research proposal summarizes the proposal for future research, the cover letter connects you to the research, and how you are the right person to complete the proposed research.

There is also sometimes confusion around a research proposal vs grant application. Whereas a research proposal is a statement of intent, related to answering a research question, a grant application is a specific request for funding to complete the research proposed. Of course, there are elements of overlap between the two documents; it’s the purpose of the document that defines one or the other.

Scientific Research Proposal Format

Although there is no one way to write a scientific research proposal, there are specific guidelines. A lot depends on which journal you’re submitting your research proposal to, so you may need to follow their scientific research proposal template.

In general, however, there are fairly universal sections to every scientific research proposal. These include:

• Title: Make sure the title of your proposal is descriptive and concise. Make it catch and informative at the same time, avoiding dry phrases like, “An investigation…” Your title should pique the interest of the reader.
• Abstract: This is a brief (300-500 words) summary that includes the research question, your rationale for the study, and any applicable hypothesis. You should also include a brief description of your methodology, including procedures, samples, instruments, etc.
• Introduction: The opening paragraph of your research proposal is, perhaps, the most important. Here you want to introduce the research problem in a creative way, and demonstrate your understanding of the need for the research. You want the reader to think that your proposed research is current, important and relevant.
• Background: Include a brief history of the topic and link it to a contemporary context to show its relevance for today. Identify key researchers and institutions also looking at the problem
• Literature Review: This is the section that may take the longest amount of time to assemble. Here you want to synthesize prior research, and place your proposed research into the larger picture of what’s been studied in the past. You want to show your reader that your work is original, and adds to the current knowledge.
• Research Design and Methodology: This section should be very clearly and logically written and organized. You are letting your reader know that you know what you are going to do, and how. The reader should feel confident that you have the skills and knowledge needed to get the project done.
• Preliminary Implications: Here you’ll be outlining how you anticipate your research will extend current knowledge in your field. You might also want to discuss how your findings will impact future research needs.
• Conclusion: This section reinforces the significance and importance of your proposed research, and summarizes the entire proposal.
• References/Citations: Of course, you need to include a full and accurate list of any and all sources you used to write your research proposal.

Common Mistakes in Writing a Scientific Research Project Proposal

Remember, the best research proposal can be rejected if it’s not well written or is ill-conceived. The most common mistakes made include:

• Not providing the proper context for your research question or the problem
• Failing to reference landmark/key studies
• Losing focus of the research question or problem
• Not accurately presenting contributions by other researchers and institutions
• Incompletely developing a persuasive argument for the research that is being proposed
• Misplaced attention on minor points and/or not enough detail on major issues
• Sloppy, low-quality writing without effective logic and flow
• Incorrect or lapses in references and citations, and/or references not in proper format
• The proposal is too long – or too short

Scientific Research Proposal Example

There are countless examples that you can find for successful research proposals. In addition, you can also find examples of unsuccessful research proposals. Search for successful research proposals in your field, and even for your target journal, to get a good idea on what specifically your audience may be looking for.

While there’s no one example that will show you everything you need to know, looking at a few will give you a good idea of what you need to include in your own research proposal. Talk, also, to colleagues in your field, especially if you are a student or a new researcher. We can often learn from the mistakes of others. The more prepared and knowledgeable you are prior to writing your research proposal, the more likely you are to succeed.

One of the top reasons scientific research proposals are rejected is due to poor logic and flow. Check out our Language Editing Services to ensure a great proposal , that’s clear and concise, and properly referenced. Check our video for more information, and get started today.

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Where can I find good research proposals of researches in computer science? [closed]

Where can I find good research proposals of researches in computer science? I specifically need to see some example methodology sections. I am writing a research proposal where the research problem is based on database systems and reinforcement learning. Writing the methodology section has become a great difficulty so far because there isn't any proper guidance or understanding I have on the area of academic documentation. If you can suggests a good book or a website to refer it's also helpful in this matter.

• publications
• computer-science
• methodology
• research-proposal

• 1 Why not read papers rather than proposals? Certainly you need to read them anyways to motivate your work –  Bryan Krause ♦ Commented Sep 11, 2020 at 16:20

Check with your local/national funding, research promotion, or research training agencies, as these may offer limited access to past proposals under some circumstances. For example, the Austrian Research Promotion Agency maintains a reference library of successful ERC proposals that can be consulted by the public (albeit in person only, and without borrowing rights). Similarly, the Austrian Science Fund and Tutech Innovation periodically organize grant-writing workshops where real-life successful and unsuccessful grant applications are presented and analyzed for educational purposes. For these two institutions, though, there's no guarantee that the proposals you'll be studying will be from your own field, and you can't take the proposals with you when you leave the workshop.

Another option may be to ask your current and past colleagues and supervisors if they will share their past proposals with you. I've obtained a number of proposals this way, with the only restriction being that I had to keep them confidential.

• informative and helpful. thanks –  bhagya Commented Sep 11, 2020 at 22:11

Not the answer you're looking for? Browse other questions tagged publications computer-science methodology research-proposal .

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How to Write a Proposal for a Computer Science Topic

Kevin blankinship.

Writing a topic proposal represents a major part of computer-science projects in high school, college and graduate school. When you develop an idea for your university capstone project or master's thesis, you'll be required to submit a topic proposal to your professors. Jobs in academic and industrial fields require such proposals when pitching new projects. Learning how to write a thorough and concise topic proposal is a life skill that you will be called upon to use throughout your career.

Explore this article

• Write an introduction
• Clarify the specific problem or concern
• Record your research methods
• Cite your sources in a bibliography

things needed

• Word processing software

1 Write an introduction

Write an introduction. This should include an overview of the concepts, terms and issues involved with your project. Place your project in the greater context of computer science or mathematics by starting with a more general scope, then zeroing in on more specific concerns related to your topic. For a project involving a more efficient database algorithm, for example, start off with an overview of how such algorithms work in general.

2 Clarify the specific problem or concern

Clarify the specific problem or concern that your project will address. The goal of computer science projects, as with any original research, is to identify an area of the field which has been ignored or understudied, and then contribute a solution to that problem. Include a brief literature review outlining the work which has been done previously, then show that your project will contribute an original solution by explaining how the project resolves a previously unaddressed problem. Present your solution in a concise research statement, which will guide the rest of your proposal.

3 Record your research methods

Record your research methods. Provide details of the algorithms and program logic you plan on using. Include a timeline and budget, if necessary, for your project. For short-term class projects, allow two to three months for completion. Give yourself six months to a year for longer projects, such as a capstone project or master's thesis.

4 Cite your sources in a bibliography

Cite your sources in a bibliography. Include all sources used in formulating your literature review at the beginning of the proposal. Use American Psychological Association (APA) style, which is the preferred citation format for computer science, as well as the hard sciences and engineering.

• Avoid plagiarism. When in doubt, cite a source. Also, invest the time it takes to be sure that your work is original. Read other project proposals and reports to be sure that you're making an original contribution to the field.
• 1 University of Illinois at Urbana-Champagne: Writing a Research Proposal
• 2 Harold B. Lee Library, Brigham Young University: Computer Science -- Literary Styles and Their Application

About the Author

Kevin Blankinship began writing professionally in 2010. His work is featured online, focusing on business, technology, physical fitness, education and religion. Blankinship holds a bachelor's and a master's degree in comparative literature and is pursuing a doctorate in Arabic language and literature from the University of Chicago.

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How to write the Methodology of a Phd research proposal in Computer Science?

Hi. I am preparing for an MPhil / PhD admission and am required to submit a research proposal. It is said that a good proposal should contain the "Research Aims and Questions" and "Methodology" sections so I included my entry points and potential hinders of my chosen topic in the "Research Aims and Questions". However, I realized that I don't have much to talk about for the "Methodology". I can only write about the programs, hardware, and datasets that I needed but I think the admission committee expects more details here. As said in their guidelines: "The methodology section of the proposal should outline how the research will be conducted. This should generally include a description and justification of: sample / participants, methods, data collection and analysis, and ethical considerations."

I believe CS researches are all about reading papers, designing algorithms, and conducting experiments to test them. Maybe I should talk more about the details of the experiments here, like what kind of subjects to recruit in a user test?

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