Undergraduate School of Computing, Engineering and Physical Sciences ⭐ Professional Accreditation

University of the West of Scotland

MSc Artificial Intelligence

A specialist master’s degree focusing on the implementation and deployment of Artificial Intelligence technologies, offering hands-on experience in machine learning, data mining, generative AI, and intelligent systems.

Paisley September January

Duration

1 year full-time or 2 years part-time (September intake) / 1.5 years full-time or 2-3 years part-time (January intake)

IELTS (min)

6.0 overall (minimum 5.5 in each component)

Course overview

About the Course

The MSc Artificial Intelligence is a highly tailored specialist programme designed to equip computing and engineering graduates with advanced theoretical mastery and practical development expertise in high-demand AI paradigms.

01

This specialist programme focuses on the growing importance of identifying, designing, and deploying Artificial Intelligence (AI) technologies within modern enterprises, governmental frameworks, and dynamic social media systems.

Programme structure

Course Modules

This programme is structured to build strong subject knowledge, academic readiness and applied professional capability through each stage of study.

  • Data Mining and Visualization (COMP11069) - 20 Credits
  • Mobile Networks and Smartphone Applications (COMP11062) - 20 Credits
  • AI and Applications (COMP11127) - 20 Credits
  • Intelligent Systems (COMP11071) - 20 Credits
  • Professional Computing Ethics (COMP11001) - 10 Credits
  • Software Design for AI-Driven System (COMP11137) - 10 Credits
  • Research Design and Methods (COMP11017) - 10 Credits
  • Emerging Topics in Computing (COMP11060) - 10 Credits
  • Masters Project (COMP11024) - 60 Credits

Placement Opportunities

Career Opportunities

Step into elite pathways across the global technology infrastructure

Graduate Outcomes

Strong

Acknowledged by the UWS Industrial Advisory Board for its strict relevance to global market hiring profiles.

AI professionals are in immense global demand, commanding some of the highest technical salaries in business and academia. This programme prepares graduates for technical leadership, structural design…

What our students say

Key placement benefits

  • Generative AI Architecture & Theory
  • Intelligent Systems Development
  • Data Mining & Multi-Sensor Visualization
  • AI Software Engineering & Optimization

Placement providers

  • Major Technology Firms (e.g., Google, Amazon)
  • Global Finance & Banking Corporations
  • AI Tech Startups & Corporate Incubators
  • Leading Global Research Institutions

Tuition information

Tuition Fees

2026/2027 Academic Year

Scholarships Available
£18,900 for the full course

£2,700 per 20-credit module

Flexible modular or institutional payment patterns are available upon request.
Enhanced International Scholarships may significantly decrease final tuition amounts.

*Tuition fees undergo structured annual review. Values shown strictly reflect international postgraduate parameters.

English language

Entry Requirements

Postgraduate entry parameters for English language proficiency.

6.0

IELTS Score Required

Minimum 5.5 in each individual component

Accepted alternatives

Other recognized tests

  • TOEFL iBT

    78
  • Pearson PTE Academic

    54
  • Duolingo English Test

    105

Equivalent verified English credentials are dynamically assessed by international admissions teams.

Maximum Exemptions Available

Professional Relevance

Built alongside national benchmark systems

Adheres tightly to the UK QAA Benchmark Statement for Master's Degrees in Computing and incorporates the educational requirements specified by professional technology bodies.

British Computer Society Alignment

BCS Specialist Masters Core Standards

Ensures the degree balances critical ethics, professional engineering codes, and real industry applications.

International applicants subject to immigration controls may require an Academic Technology Approval Scheme (ATAS) certificate for this course.

Official admissions guidance

Academic Entry Requirements

Applicants are typically expected to hold an appropriate undergraduate qualification/Honours degree (2.2 or above) in Computing, Engineering, or a closely related quantitative discipline. Candidates possessing alternative vocational qualifications or over two years of relevant industrial IT experience are reviewed carefully case-by-case.

Our specialized international teams are ready to analyze your degree transcripts and establish direct entry options.

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