Your qualification fit
UK degree at good 2:2 or above; a 3-year (general) Sri Lankan Bachelor's with overall 70% or Grade A, or a 4-year (special) Bachelor's with overall 60% or Grade B+
Check my qualifications →University of Westminster · London
Applied Artificial Intelligence MSc
Teaches practical AI techniques and skills for solving real-world problems. Aimed at science, maths, computing or engineering graduates. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
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IELTS or an alternative
6.5 overall, no element below 6.0
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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 Westminster
Westminster lists an International Postgraduate Excellence Award worth £3,000–£5,000 for January 2027 entry (deadline 30 November 2026), among other scholarships on its funding pages.
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 Applied Artificial Intelligence MSc
Teaches practical AI techniques and skills for solving real-world problems. Aimed at science, maths, computing or engineering graduates. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
This 12-month postgraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. 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
- Machine learning and intelligent systems
- Data, algorithms and model evaluation
- Responsible AI and real-world implementation
- Programming and computational problem-solving
Skills development
Capabilities you can build
- Algorithmic problem-solving
- Model development and testing
- Programming with data
- Responsible technology evaluation
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 with a strong interest in computation who want to design, evaluate and apply intelligent systems responsibly. 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:
- AI or machine-learning specialist
- Data scientist
- Intelligent-systems developer
- AI solutions consultant
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.
8 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.
- 01Foundations of Artificial IntelligencePublished course content
- 02Applied AI and Industrial Decision Support SystemsPublished course content
- 03Deep Learning and Neural NetworksPublished course content
- 04Machine Learning in PracticePublished course content
- 05MSc Applied AI ProjectPublished course content
- 06Programming and Maths for AIPublished course content
- 07Applied Computer VisionPublished course content
- 08Big Data and Cloud ComputingPublished course content
Entry requirements
Can I apply?
- Academic
- Minimum 2:2 honours degree in science, mathematics, computer science or engineering, with some programming exposure
- Sri Lankan qualifications
- UK degree at good 2:2 or above; a 3-year (general) Sri Lankan Bachelor's with overall 70% or Grade A, or a 4-year (special) Bachelor's with overall 60% or Grade B+
- English (IELTS)
- 6.5 overall, no element below 6.0
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- We check your eligibility and documents.
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Course information checked October 2026 from the official course page on westminster.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 Westminster before you apply. Global Educational Consultants is an independent consultancy.