Program Overview

Artificial Intelligence, MSc

Attendance

• Full-time
• Part-time

Campus

• Preston Campus

Start

• September 2025

Duration

• 1 year

Delivery

• In-person

Placement option

Transform your future with our MSc in Artificial Intelligence. Explore the latest advancements in AI technology, tools and techniques and how to apply them to a digital world.

Why study with us

• Develop high-demand AI skills with a focus on real-world applications and problem-solving.
• Take advantage of opportunities to develop your skills and professional network on optional industry placements.
• Our teaching is informed by research and industry practice. You will learn from internationally recognised AI researchers and industry experts, enhancing career readiness.

What you'll do

• You will apply the tools and techniques used in modern artificial intelligence to generate solutions to interesting and challenging problems.
• You will develop your professional skills as a practitioner in the field of Artificial Intelligence, exploring a broad range of technical topics.
• You will develop your critical thinking and project management skills as you plan, perform and critically evaluate a substantial artificial intelligence project.

Modules

Year 1

Compulsory modules

• Data Concepts, Ethics and Governance
  • Explore the theory behind data and its preparation
  • Develop your investigative and analytical skills for effective data management
  • Learn about ethical and governance responsibilities regarding AI
  • Enhance your critical evaluation and communication skills.
  • Module code: CO4191
• Computational Maths and Statistics
  • Teach key math and statistics for modern computer systems
  • Give practice applying statistics to real-world problems
  • Improve your communication skills using complex data
  • Build the skills needed to analyze and evaluate statistical methods.
  • Module code: CO4192
• Artificial Intelligence Fundamentals
  • Cover the basics of artificial intelligence
  • Build problem-solving skills
  • Teach the use of AI tools and libraries
  • Develop the ability to evaluate modern AI methods.
  • Module code: CO4193
• Machine Learning and Data Mining
  • Cover data mining and predictive modeling in machine learning
  • Build your problem-solving skills
  • Teach you how to handle handling incomplete data
  • Develop evaluation skills
  • Improve presenting data insights.
  • Module code: CO4194
• Deep Learning
  • Explore advanced deep learning topics
  • Cover key concepts
  • Teach using models for synthetic data
  • Provide training experience with a focus on sustainability
  • Develop advanced communication and evaluation skills.
  • Module code: CO4195
• Computer Vision and Image Processing
  • Cover the basics of artificial intelligence
  • Develop problem-solving skills
  • Teach you how to use AI tools and libraries
  • Develop the ability to evaluate modern AI methods.
  • Module code: CO4196
• Master's Project
  • Conduct an extensive piece of work focused on a challenging topic relating to User Experience
  • Provide autonomy to advance skills and demonstrate a deeper understanding of the subject area you are interested in.
  • Module code: CO4804

Entry requirements

• Applicants should hold at least 2:2 degree in STEM areas which has a substantive computing element including programming or substantial relevant industrial experience.
• Qualifications or relevant industry experience deemed by the University to be equivalent to the above
• An interview may be required if deemed necessary by the course team
• IELTS: 6.0 with no components lower than 5.5

Fees and funding

2025/26

• UK
  • Full-time: £9,450 per year
  • Placement year: £2,625 for the placement year
  • Part-time: £1,050 per 20 credits
• International
  • Full-time: £17,900 per year

Additional costs

• As part of your course there may be additional costs to consider that are not included in your tuition fees. Most of these will be optional, but some courses have essential additional costs.

Scholarships and bursaries

• We offer many scholarships, bursaries and funds to support you during your studies. Select your country or region to see if you are eligible and how to apply.

Learning and assessment

• We’re committed to flexible learning. Alongside face-to-face lectures, tutorials, practical sessions and guided coursework you'll have access to a range of resources on our online virtual learning environment that support and enrich your independent learning.
• Assessment is mainly through portfolio and practical work. Example portfolio pieces include spoken presentation, professional/guided discussion, written exercises, lab demonstrations, case studies (critical analysis) and critical reflections of practical work.