The MSc Advanced Computer Science at the University of Hertfordshire is a full-time 1 year Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Hatfield campus in Hertfordshire, United Kingdom, the course offers a balanced mix of academic study and practical experience.
Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a full-time competitive international tuition fee of £ 17,250 Starting each January, September, it is designed to equip students with essential skills for advanced study and professional growth.
The University of Hertfordshire offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the United Kingdom through this program.
Course Highlights
This award is targeted at those who have a good Honours degree in computer science or a very closely related discipline, and who wish to extend and deepen their knowledge in two or more different sub-discipline areas. This course will enable you to enhance your career prospects or prepare for a programme of research that requires knowledge of one or more of these sub-discipline areas. You will have a wide range of taught modules from which to choose, and will be expected to complete a major project that extends and applies what you have learnt in one or more of the taught modules they have taken.
Course Modules
- Measures and Models for Software Engineering
- Optional - 30 Credits
- Programming for Software Engineers
- Optional - 30 Credits
- Software Engineering Practice and Experience
- Optional - 30 Credits
- Distributed Systems Security
- Optional - 30 Credits
- Artificial Life with Robotics
- Optional - 30 Credits
- Neural Networks and Machine Learning
- Optional - 30 Credits
- Theory and Practice of Artificial Intelligence
- Optional - 30 Credits
- Advanced Computer Science Masters Project
- Compulsory - 60 Credits
- Foundations of Data Science
- Optional - 30 Credits
- Wireless Mobile and Multimedia Networking
- Optional - 30 Credits
- Computational Algorithms and Paradigms
- Compulsory - 30 Credits
- Team Research and Development Project
- Compulsory - 15 Credits
- Responsible Technology
- Compulsory - 15 Credits
Learning Structure
Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.
Entry Requirements
- A 4-year Honours degree (or equivalent) in a computer science or cognate discipline with CGPA 3.00 or 60% of marks (or above) from recognised institution.
English Language Requirements
- IELTS Academic
- Overall 6.5
- With minimum 5.5 in each components
- TOEFL iBT
- Overall 79
- Minimum in Listening: 17, Reading: 18, Speaking: 20, Writing: 17
- PTE (Pearson Test of English) Academic
- Overall 59
- With minimum 59 in each components
- LanguageCert Academic
- Overall 70
- With minimum 60 in each bands
- OIETC (Oxford International English Test Centre)
- Overall C1
- With minimum B2 in each bands
- Duolingo
- Overall 120
- With minimum 92 in each bands
Study Gaps
For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.
To strengthen your profile, it is important to:
- Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
- Emphasize the skills and experiences you developed during this time that are relevant to the program.
- Demonstrate that your academic qualifications continue to meet the course entry requirements.
Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, entry requirements, and other related information at any time without prior notice. We recommend verifying the latest updates directly with the university. Last reviewed on 23 August 2025.