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Course pages state UK degree classes (usually 2:2 or 2:1 or international equivalent); no Sri Lankan GPA conversion is published on the country page.
Check my qualifications →University of Hull · Hull
MSc Artificial Intelligence and Data Science
A fast-track conversion masters in AI and data science taught in Hull's DAIM centre, open to STEM and non-STEM graduates. Teaching is intensive, usually one full day a week on campus, aimed at people switching into data and AI careers.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.5 overall, 6.0 in each skill
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at University of Hull
Sri Lankan nationals qualify for an automatic £2,000-per-year International Undergraduate Fee Waiver (full-time UG, 2026/27 starters) and an automatic PGT fee waiver of up to £5,000 for South Asia (£2,000 on some non-standard programmes) for September 2026, January 2027 and May 2027 starts.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Artificial Intelligence and Data Science
A fast-track conversion masters in AI and data science taught in Hull's DAIM centre, open to STEM and non-STEM graduates. Teaching is intensive, usually one full day a week on campus, aimed at people switching into data and AI careers.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
17 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Introduction to ProgrammingPublished course content
- 02Fundamentals of Data SciencePublished course content
- 03Properties and types of data (e.g., quantitative and categorical data)Published course content
- 04Classification and regression, introduction to Kaggle and other sources of dataPublished course content
- 05Applications: Real-world data applications, including examplesPublished course content
- 06Understanding Artificial IntelligencePublished course content
- 07Implications for Society: Legalities; Ethics and professional implications; Social consequencesPublished course content
- 08Big Data and Data MiningPublished course content
- 09Sorting Algorithms: Bubble sortPublished course content
- 10Clustering: DBSCANPublished course content
- 11Time series analysis: ARIMA: XGBOOSTPublished course content
- 12Web Scraping/spidering: Beautiful Soup; Legal and ethical aspectsPublished course content
- 13Applied Artificial IntelligencePublished course content
- 14Research and Application in Artificial Intelligence and Data SciencePublished course content
- 15Artificial Intelligence and Data Science Research ProjectPublished course content
- 16Kevin PimbbletPublished course content
- 17Will JonesPublished course content
Entry requirements
Can I apply?
- Academic
- 2:2 bachelor's degree in any subject that includes a numerical component
- Sri Lankan qualifications
- Course pages state UK degree classes (usually 2:2 or 2:1 or international equivalent); no Sri Lankan GPA conversion is published on the country page.
- English (IELTS)
- 6.5 overall, 6.0 in each skill
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to University of Hull.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
Similar courses at other universities
Course information checked October 2026 from the official course page on hull.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Hull before you apply. Global Educational Consultants is an independent consultancy.