Research Proposal for Masters in Computer Science

If you ate facing hard times to identify a research problem then get team help. Scholars may not have prior experience in drafting research proposal leave it in hands of our experts and get your work done on time. An effective proposal often requires a systematic approach and it mainly involves extracting the key viewpoints from research papers. We serve a step-by-step procedure to help you in writing and organizing your proposal:


  • Brief and Descriptive: To indicate the main purpose of your research; select a title which is appropriate.


  • Background: In terms of your intriguing area, offer an extensive summary.
  • Research Problem: The issue or queries which your study aims to solve should be defined obviously.
  • Relevance and Significance: Why this study is significant in the domain of computer science ought to be described and examined in what way it dedicates to the prior literature.

Literature Review

  • Current State of Research: According to your topic, outline the current analysis and emphasize the merits and demerits of your project.
  • Gap in Research: At the present literature, detect the gaps or requirements which your study intends to contribute.


  • Main and Specific Objectives: If you have any main objective and certain milestones or queries which you intend to solve, summarize it explicitly.

Research Methodology

  • Approach: The methods which you employed for your research are required to be explained. It might be empirical, conceptual or a combination of both.
  • Data Collection and Analysis: In what way you plan to gather and evaluate data are described necessarily. For instance, algorithm testing, data mining, simulations and software development.
  • Tools and Technologies: Cite the tools which you utilized in your study. Whether it may be unique software, hardware or other techniques.

Expected Outcomes

  • Predicted Findings: What are the findings which you anticipated for your research must be addressed.
  • Implications: On the subject of computer science, give a detailed note on expected implications of your result.

Project Timeline

  • Gantt Chart or Timeline: By dividing the project into phases and reflecting the crucial goals, you should offer a predicted deadline for your study.


  • References: In a relevant format, register the educational sources which you mentioned in your proposal.

Further Thoughts

  • Ethical Considerations: If it is relevant, mention the moral perspectives in accordance with your study.
  • Limitations: In your research proposal, recognize the expected constraints.
  • Budget (if required): Offer the summary of expenses which involves hardware, software licenses or travel for field-research, if it is required.

Hints for Writing

  • Clarity and Conciseness: Your proposal needs to be examined, if it is organized in a well-defined with consistency and obvious format.
  • Tailor to Audience: Keep your audience in mind and start to write proposals. Ensure your proposal, whether it is interpretable to readers who are not familiar in your specific field.
  • Proofread: Throughout the writing process, verify if it is provided in an explicit manner and rectify the grammatical mistakes.
  • Follow Guidelines: Considering the length, format and content, strictly obey the particular procedures as offered by your academy.

What are some common challenges faced when completing a computer science master thesis?

While finishing a computer science master thesis, there is a chance to face some difficulties or challenges in presenting our project. Some of the general problems are offered by us, which are addressed by majority of students:

  1. Defining a Clear Research Topic: Among the challenges involved in the thesis, the most common obstacle is stating a topic which must be accurate clearly to be achievable as well as it must be quite extensive to be important. Between novelty, range and workability, the students find it difficult to detect a balance.
  2. Time Management and Deadlines: Maintaining a frequent balance between work and personal life might be complicated, when handling an extensive work of thesis writing with projects. In the process of research and writing, project delay and not maintaining the proper schedule are the included general problems.
  3. Technical Challenges: Students can address diverse technical demands such as hardware and software constraints, data collection and analysis problems, machine development and algorithmic complexities, which are often based on the environment of the thesis.
  4. Research Methodology: It might be overwhelming, while choosing and implementing the research methods which are relevant for research. Discussing the diverse methods, it demands a strong interpretation and their relevance to the certain topic.
  5. Data Availability and Quality: For considering the specific experimental study, evaluating the appropriate and trustworthy data might be the key difficulties, where problems emerge in data secrecy, size or significance.
  6. Writing and Presentation Skills: Most of the students are not feeling convenient in exhibiting their results. Moreover, the writing process seems very difficult for many students which involves in organizing the thesis, retaining the educational standards and assuring the clearance and consistency.
  7. Maintaining Motivation: Particularly in extended projects where the end emerges far away, it might be tricky to maintain the self-inspiration throughout the thesis. The development and capability of work are affected by the lack of ambition.
  8. Feedback and Revisions: From mentors or nobles, acquiring the reviews might be demanding and it discourages students occasionally. This might be a complicated process, as the interpretation and approving the valid observations is very important.
  9. Academic Rigor and Standards: Specifically those who are not familiar with research, it seems tough in following the educational criteria and hopes which incorporate dedicating the novel insights, accurate reference and neglecting the plagiarism might be challenging.
  10. Staying Updated: During the thesis period, being connected with the recent trends is very important, as the computer science domain is a fastest emerging domain. Staying connected with the thesis is unmanageable to handle.
  11. Ethical and Legal Considerations: If the study includes data secrecy or copyright protection, verifying the consent with moral procedures might be challenging and it is neglected frequently.
  12. Expectation Management:  Regarding the mentors, nobles or personal opinions, it seems difficult to moderate their anticipations. It might be distressing in originating the first class work.

Research Proposal Projects for Masters in Computer Science

How long is a CS Master’s thesis?

The CS thesis depends upon your level and your requirements, it is difficult for scholars to work individually from one end so get our experts guidance. Talk to our experts we will complete the work within the given time period in good quality. We have all massive resources to carry on your work perfectly.

  1. Applying Spring-Relaxation Technique in Cellular Network Localization
  2. Device-to-device(d2d) communications underlaying MU-MIMO cellular networks
  3. Optimum user selection for hybrid-duplex device-to-device in cellular networks
  4. High — Reliability low — Latency cellular network communication solution for static or moving ground equipment control
  5. Clustering-based KPI data association analysis method in cellular networks
  6. Pre-emption based call admission control with QoS and dynamic bandwidth reservation for cellular networks
  7. A survey of distributed resource allocation for device-to-device communication in cellular networks
  8. The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks
  9. Design and Capacity Analysis of Cellular-Type Underwater Acoustic Networks
  10. Low-Complexity SINR Feasibility Checking and Joint Power and Admission Control in Prioritized Multitier Cellular Networks
  11. Performance Analysis of Random Backoff based D2D Discovery in Cellular Networks
  12. Secure and Energy-Efficient Transmissions in Cache-Enabled Heterogeneous Cellular Networks: Performance Analysis and Optimization
  13. Optimum cell-site positioning model for cellular network by linear regression of coverage border
  14. Uplink Performance Analysis in D2D-Enabled Millimeter-Wave Cellular Networks With Clustered Users
  15. Providing multiple service classes for bursty data traffic in cellular networks
  16. A novel direction-based diurnal mobility model for handoff estimation in cellular networks
  17. System performance of two-way decode-and-forward relaying assisted D2D communication underlaying cellular networks
  18. Performance analysis of cooperative macro-diversity in mobile cellular networks
  19. An Association Approach that Combines Resource Consumption and Load Balancing in Heterogeneous Cellular Networks
  20. Service disciplines performance for best-effort policies in packet-switching wireless cellular networks