MSc Project topics
MSc Projects – Ideas for your final project topic
You can find below a provisional list of possible ideas for your MSc project topic.
Search by your course of study and contact the corresponding lecturer.
- AI for NGO Community Outreach: Design a conversational AI system that helps NGOs engage communities (e.g., answering queries about services or events). Expected contribution & research are in trust, inclusivity, and accessibility in non-profit contexts (Danai Korre Danai.Korre@beds.ac.uk)
- Generative AI for Cross-Language Learning Support: Build an AI that helps international students bridge language barriers by generating simplified explanations. Expected contribution & research are in effectiveness of AI simplification in comprehension and inclusivity (Danai Korre Danai.Korre@beds.ac.uk)
- Conversational AI for Career Guidance: A Prototype Chatbot: Develop a single-purpose chatbot that provides tailored advice on either CV writing, interview preparation, or career path suggestions for students. Focus on one of these areas rather than all three to keep the project manageable. Expected contribution & research are in evaluate perceived usefulness, usability, and accuracy of the chatbot compared to existing resources (Danai Korre Danai.Korre@beds.ac.uk)
- AR Wayfinding for Inclusive Campuses: An AR navigation app designed to assist students with mobility or sensory challenges. Expected contribution & research are in accessibility and independence in navigating educational spaces (Danai Korre Danai.Korre@beds.ac.uk)
- AR Data Visualisation for Organisations: Build an AR tool for staff to visualise community data (surveys, impact metrics) spatially using XREAL glasses. Expected contribution & research are in effectiveness of immersive vs. 2D visualisations for decision-making (Danai Korre Danai.Korre@beds.ac.uk)
- Interactive AR for Learning Complex Concepts in Anatomy: Design a single AR module that allows users to explore an anatomical structure in 3D with interactive annotations. Expected contribution & research are in evaluate how AR visualisation impacts understanding (Danai Korre Danai.Korre@beds.ac.uk)
- AI for Movement and Behaviour Analysis: Explore machine learning and computer vision techniques to analyse movement (2D/3D) or behaviour from video or sensor data, with potential applications in healthcare, sports, or robotics (Massoud Khodadadzadeh Massoud.Khodadadzadeh@beds.ac.uk)
- AI-Driven Anomaly Detection in Sensor or System Data: Build AI models to detect unusual behaviours in a real-world system such as IoT networks, or healthcare monitoring (Massoud Khodadadzadeh Massoud.Khodadadzadeh@beds.ac.uk)
- Human–Robot Interaction and Personalised Robotics: Investigate ways to improve robot (Nao robot) communication and adaptability, including integration of machine learning, natural language processing and vision systems. This project requires doing a hand on projecvt on a robot available at school. This is a practical, hands-on project that requires continuous engagement and offers a valuable opportunity to work on a high-quality, real-world robotics system available at the school (Massoud Khodadadzadeh Massoud.Khodadadzadeh@beds.ac.uk)
- Intelligent Navigation and Interaction using Machine learning (2 projects): Use a robot (Limo cobot/unitree go2) to develop navigation, mapping, and human–robot interaction capabilities for scenarios such as search and rescue or assistive robotics. This is a practical, hands-on project that requires continuous engagement and offers a valuable opportunity to work on a high-quality, real-world robotics system available at the school (Massoud Khodadadzadeh Massoud.Khodadadzadeh@beds.ac.uk)
- Automated Vulnerability Scanning Framework for Small Enterprises Using Open-Source Tools (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Developing a Red Team vs. Blue Team Simulation Platform for Ethical Hacking Training (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- AI-Assisted Web Application Penetration Testing Tool for Detecting OWASP Top 10 Vulnerabilities (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Designing a Honeypot-Based Intrusion Detection Artefact for Capturing Real-World Attack Patterns (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Developing a Container Security Testing Toolkit for Docker and Kubernetes Environments (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Implementation of a Threat Intelligence Dashboard for Real-Time Attack Monitoring (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Building a Machine Learning-Based Intrusion Detection System for Encrypted Traffic (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Developing a Phishing Attack Simulation and Defence Platform for Employee Awareness (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- IoT Device Security: Building a Lightweight Intrusion Prevention System for Smart Homes (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Designing a Cloud Security Monitoring Artefact for Detecting Misconfigurations in AWS/Azure (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Automated GDPR Compliance Checking Tool for Web Applications (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Blockchain-Based Secure Logging System for Data Integrity in Compliance Audits (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Developing a Risk Assessment Tool for SMEs Based on ISO 27001 Controls (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Privacy-Aware Data Sharing Artefact for Healthcare Records Using Differential Privacy (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Designing a Secure File Transfer Artefact with Audit Trails for Data Governance (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Zero Trust Network Prototype: Implementing and Testing Role-Based Access Controls (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Blockchain-Enabled Digital Identity Management System for Secure Authentication (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Post-Quantum Cryptography Demonstrator: Implementing and Evaluating Quantum-Safe Algorithms (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- AI-Powered Malware Detection Artefact Using Explainable Machine Learning Models (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
- Developing a Cybersecurity Awareness Chatbot with Real-Time Threat Education Scenarios (Chamitha De Alwis Chamitha.DeAlwis@beds.ac.uk)
address
School of Computer Science and Technology
University of Bedfordshire
University Square
Luton
Bedfordshire
UK, LU1 3JU
calendar
CST Labs - Opening Times
| Monday | 9:00 am - 5:00 pm |
| Tuesday | 9:00 am - 5:00 pm |
| Wednesday | 9:00 am - 5:00 pm |
| Thursday | 9:00 am - 5:00 pm |
| Friday | 9:00 am - 4:30 pm |
| Saturday | CLOSED |
| Sunday | CLOSED |
affiliations
