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Study MSc Data Science and Analytics with Advanced Research

Fees, Modules, Entry Requirements & Application for Bangladeshi Students

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How to Apply

Before making an application, you will need to decide on your course and learn requirements clearly. Information in this page is available for the international students only.

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The MSc Data Science and Analytics with Advanced Research at the University of Hertfordshire is a full-time 2 Years Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Hatfield campus in Hertfordshire, UK, 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 £ 22,450 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 UK through this program.

Course Highlights

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending students' knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.

Course Modules

Data Mining
Compulsory - 15 Credits
Neural Networks and Machine Learning
Compulsory - 30 Credits
Foundations of Data Science
Compulsory - 30 Credits
Applied Data Science and Analytics
Compulsory - 15 Credits
Responsible Technology
Compulsory - 15 Credits
Team Research and Development Project
Compulsory - 15 Credits
Research Methods
Compulsory - 15 Credits

Advanced Research Topics in Computer Science
Compulsory - 30 Credits
Data Science and Analytics Masters Project
Compulsory - 60 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 in computer science or cognate discipline with CGPA 3.00 or 60% of marks (or above) from recognised institution.

English Language Requirements

IELTS  Overall 6.5

Listening

5.5

Reading

5.5

Writing

5.5

Speaking

5.5
Language Accepts: IELTS, Cambridge English, Pearson PTE, LanguageCert, TOEFL, OIETC, Duolingo
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Documentary Evidence List

  • Academic Transcripts
  • Degree Certificate
  • English Test (IELTS/ TOEFL/ PTE/ Duolingo - UKVI accepted)
  • Statement of Purpose (SOP)
  • 2 Recommendation Letters (LORs)
  • Updated CV/ Resume
  • Research Proposal (for Research/ PhD)
  • Work Experience Certificates (if study gap)
  • Passport Copy

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, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.

Last reviewed on 08 September 2025.