Computer Science Dissertation Titles & Trends in Tech

Computer Science Dissertation Titles

Info: 724 words(1 pages)Computer Science Dissertation Titles
Published: 12th September 2025 in Computer Science Dissertation Titles

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Introduction

Computer Science is leading the digital transformation of contemporary societies. With the advancement of technology comes a new set of issues in processing data, artificial intelligence, cybersecurity, and software development. This dissertation will explore critical elements in computer science such as machine learning, data privacy, algorithm design, and software engineering to highlight how these departments relate to new technology infrastructures, models of business and human behaviour.

Computer Science Dissertation Topics

1. Employing Machine Learning in Predictive Analysis: A Study on Healthcare

Focus: This dissertation will examine how machine learning approaches and roles develop the area of predictive analytics in healthcare by determining outcomes, allocating resources, and practicing detection of illness earlier in patients.

2. Utilizing Blockchain Technology for an upgraded Cyber Security: Public Blockchain vs. Private Blockchain

Focus: Understanding how blockchain technology affects security cyber through the capabilities blockchain technology supplies and differentiating the various public blockchain systems and the private blockchain systems securing data and transaction functionality.

3. Impacts of Artificial Intelligence on the evolution of Autonomous Vehicles: financial safety protocols, ethical problems and inevitability of regulations

Focus: This study will review the influence of artificial intelligence on autonomous vehicle development, particularly pertaining to safety protocols, ethical dilemmas and regulatory enforcement.

4. Data Privacy and GDPR: Analyzing the Consequences of European Regulations concerning Personal Data Protection

Focus: To explore the implications of GDPR regulations on data privacy practices in Europe and contributes to the regulations the European Union applied to data privacy laws across the world.

5. The Impact of Quantum Computing as a Solution to Complex Computation

Focus: This dissertation will explore how quantum computing can change the face of industries such as cryptography, material science, and artificial intelligence through solving problems beyond those solved by classical computing.

6. The Future of Cloud Computing: Assessing Scalability, Security faults, and the challenges of cloud storage

Focus: As the evaluation of cloud computing is delineated, this research will frame issues related to scalability, data security, and the distributed approaches for management of large-scale data storage in cloud environments.

7. Artificial Intelligence in Software Development: Automated Code Development and Bug Assessments

Focus: This will look at how AI is changing practices with respect to software development, specifically automating code development, bug assessments and quality assurance practices.

8. Big Data Analytics and the effect on business decision making: An in-depth study on retail and e-commerce businesses

Focus: This study will show how big data analytics have changed the way we make business decisions in a retail and e-commerce context on three points: consumer behaviour; inventory inputs management, and analytics detailing predictive marketing.

9. Cyber-Physical Systems and the IoT: How to secure/privacy the connected devices and systems

Focus: To explore the limitations of security and privacy of IoT devices and cyber-physical systems, and potential solutions for encrypting data, authenticating systems and managing connected devices.

10. Data Mining and Predicting Cyber Attacks: A Network Security Case Study

Focus: This dissertation will look at data mining techniques for use in network security by finding patterns and anomalies to predicting anticipation to avoid cyber-attacks before they occur.

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References:

Leiva-Araos, A., Contreras, C., Kaushal, H., & Prodanoff, Z. (2025). Predictive optimization of patient no-show management in primary healthcare using machine learning. Journal Of Medical Systems, 49(1), 7. https://link.springer.com/article/10.1007/s10916-025-02143-w
Mohammed, A. (2025). Blockchain-Driven Cybersecurity Audits: Securing Financial Systems with Trust and Transparency. Authorea Preprints. https://www.authorea.com/doi/full/10.22541/au.173862082.22380043
Tiwari, K., & Choudhary, S. (2025). Autonomous Vehicles and Ethical AI: Legal and Safety Considerations. International Journal of Sciences and Innovation Engineering, 2(6), 83-98. https://ijsci.com/index.php/home/article/view/216
Rehman, A. (2025). AI Driven Code Review System: Leveraging Artificial Intelligence for Enhanced code Quality Assessment and Bug Detection. https://www.theseus.fi/handle/10024/893042
Warmayana, I. G. A. K., Yamashita, Y., & Oka, N. (2025). Predicting Cyber Attack Types Using XGBoost: A Data Mining Approach to Enhance Legal Frameworks for Cybersecurity. Journal of Cyber Law, 1(2), 147-160.

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