StudyAbroadNext.com

Study MSc Artificial Intelligence and Data Science

Fees, Modules, Entry Requirements & Application for International Students

Quick View

  • Study Option
    Full-Time
  • Intakes
    January, May, September
  • Location
    Cottingham Road, Hull, United Kingdom
  • Duration
    1 Year
  • Level
  • Subject
  • International Fees
    £ 15,000 for a full-time course

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.

Apply Now

The MSc Artificial Intelligence and Data Science at the University of Hull is a full-time 1 Year Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Cottingham Road campus in Hull, 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 £ 15,000 Starting each January, May, September, it is designed to equip students with essential skills for advanced study and professional growth.

The University of Hull 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

As a conversion course, this MSc is suitable for students with a range of backgrounds in STEM and non-STEM subjects. You'll learn Python coding at the start of the course to make sure you're up to speed.

You'll study the full breadth of AI, not just one specialism. You'll cover programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data.

You can design your own research project to suit your background and career interests. Some students may be able to with work on a research project with one of our industry partners such as Naimuri, the NHS, KCOM or Lampada Digital Solutions.

You'll develop key skills including programming, problem-solving, and data visualisation and interpretation. And graduate at the forefront of data science.

Course Modules

Programming for AI and Data Science
Core - 20 Credits
Fundamentals of Data Science
Core - 20 Credits
Understanding Artificial Intelligence
Core - 20 Credits
Big Data and Data Mining
Core - 20 Credits
Applied Artificial Intelligence
Core - 20 Credits
Research and Application in Artificial Intelligence and Data Science
Core - 20 Credits
Artificial Intelligence and Data Science Research Project
Core - 60 Credits

Learning Structure

You'll be taught in DAIM, a centre of excellence created for this course, drawing on expertise from across the whole University.

Entry Requirements

  • A 4-year Honours degree (or equivalent) in mathematics (pure or applied), statistics, computing or data analysis discipline with CGPA 2.75 or 55% of marks (or above) from recognised institution.

English Language Requirements

IELTS
Overall 6.0
Listening: Minimum 5.5
Reading: Minimum 5.5
Writing: Minimum 5.5
Speaking: Minimum 5.5
Applicants who do not meet required IELTS or equivalent for direct entry may still become eligible by enrolling in a Pre-sessional English Language course to achieve this level.
No IELTS? No problem!
Got TOEFL, PTE, Duolingo, LanguageCert or OIETC? Instantly check your IELTS equivalency and see if you qualify for your dream university!

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.

Related
Courses

Discover a course that won’t just make you work ready, but world ready.