MSc Artificial Intelligence
Reimagine Everything®. Shape the Future of AI.
This cutting-edge programme prepares you to design, develop, and deploy intelligent systems that are transforming every industry. Delivered by Robert Kennedy College in exclusive partnership with the University of Lancashire, this MSc equips you with both the technical expertise and ethical grounding to lead in the AI-driven economy.
From neural networks and natural language processing to generative AI and large language models, you'll gain hands-on experience with the tools and frameworks shaping the future. The programme balances deep technical knowledge with critical perspectives on AI governance, ethics, and responsible deployment.
Welcome video from Professor Janice Allan
Pro Vice-Chancellor (Academic Leadership), University of Lancashire
Swiss Quality. Since 1998. British Excellence. Award-Winning Innovation.
This programme combines the excellence of Swiss-quality education with the prestige of a British degree from an award-winning university. Robert Kennedy College's expertise in online education meets the University of Lancashire's recognition as University of the Year, ensuring you receive cutting-edge knowledge in this rapidly evolving field.
Why This Programme?
- Cutting-Edge Curriculum: Master neural networks, deep learning, generative AI, large language models, and computer vision
- Hands-On Learning: Build and evaluate AI systems using modern tools, frameworks, and libraries
- Ethics & Governance: Understand the legal, ethical, and societal implications of AI deployment
- Data-Driven Decisions: Transform complex data into actionable insights through visualisation and storytelling
- Substantial Project: Complete a 60-credit Masters Project applying AI to solve a real-world problem
- Flexible Online Learning: Study at your own pace with 100% online delivery through our interactive OnlineCampus
Your MSc Artificial Intelligence degree is:
- Recognised worldwide by employers and technology leaders
- Awarded directly by the University of Lancashire
- Identical to degrees earned on campus
- Fully recognised by the UK government
Career Outcomes
Graduates are prepared for roles such as:
- AI/Machine Learning Engineer
- Data Scientist
- AI Solutions Architect
- NLP Engineer
- Computer Vision Specialist
- AI Ethics and Governance Specialist
- AI Product Manager
- Research Scientist
- AI Consultant
- Chief AI Officer
12 months to 2 years
100% online via OnlineCampus (an interactive online learning environment) with intensive class discussion and collaboration.
We offer rolling admissions throughout the year. Register at any time and begin your learning journey immediately.
Standard Programme Fee: CHF 12,600
Dean’s Bursary Now Available
Bursary value: CHF 2,700
Final Programme Fee: CHF 9,900
Flexible Payment Options
Interest-free monthly installments matched to your programme duration:
12-month programme: CHF 825 per month (12 installments)
24-month programme: CHF 412.50 per month (24 installments)
Payment plan corresponds to your chosen study timeline
This covers everything: tuition, online study materials, and University fees
Programme not eligible for UK Government student finance.
The University of Lancashire MSc programmes, offered online in exclusivepartnership with Robert Kennedy College, are recognised worldwide. Once you complete your studies at Robert Kennedy College, you will receive a degree from the University of Lancashire.
The University of Lancashire received its University title and degree awarding powers from Her Majesty’s Most Honourable Privy Council. It is fully recognised by the British Government and duly listed on the United Kingdom’s Department for Education list of recognised UK awarding institutions.
The University of Lancashire’s recent accolades include University of the Year - The Edufuturists Uprising 2023 & Most Affordable University in the UK - The Times 2023.
Programme Outline
Introductory
Not-for-credit
- Induction
This is the first module of the programme which gives an orientation to the course and the online learning style. It does not carry credits, and students are encouraged to go through the material in this module at their own pace and get accustomed to the online medium.
The MSc Artificial Intelligence consists of 180 credits delivered through four taught modules and a substantial Masters Project:
Stage 1: AI Foundations (60 credits)
Module 1: Introduction to Artificial Intelligence (30 credits)
Module 2: Advanced Artificial Intelligence (30 credits)
Stage 2: Ethics, Data & Application (60 credits)
Module 3: Data Concepts, Ethics, Law and Governance for AI (30 credits)
Module 4: Data Driven Decision Making (30 credits)
Stage 3: Masters Project (60 credits)
Module 5: Masters Project (60 credits)
Module Descriptions
Module 1: Introduction to Artificial Intelligence (30 credits)
❚ Foundations of AI: classical approaches, narrow vs general AI
❚ Probabilistic reasoning: Bayesian networks, Markov decision processes
❚ Neural networks: perceptrons, multi-layer architectures, activation functions
❚ Natural Language Processing: practical techniques and language models
❚ Agent-based systems: autonomous agents and multi-agent environments
Module 2: Advanced Artificial Intelligence (30 credits)
❚ Machine learning: supervised and unsupervised techniques, ensemble methods
❚ Deep learning: CNNs, RNNs, LSTMs, transformers and attention mechanisms
❚ Generative AI: GANs, large language models (LLMs), synthetic data
❚ Computer vision: object detection, segmentation, video classification
❚ Reinforcement learning and transfer learning
Module 3: Data Concepts, Ethics, Law and Governance for AI (30 credits)
❚ Data concepts: big data, data preparation, cleansing, integrity
❚ Legal frameworks: GDPR, EU AI Act, US regulations, international conflicts
❚ AI ethics: bias and fairness, accountability, ethical data strategies
❚ Sustainability and environmental implications of AI systems
❚ Equality, diversity and inclusion in AI design
Module 4: Data Driven Decision Making (30 credits)
❚ Human perception: psychology, cognitive biases, colour theory
❚ Data visualisation: design principles, multivariate and interactive methods
❚ Temporal and spatial analysis: time-series, heat maps, geospatial methods
❚ Data storytelling: narrative building and audience communication
❚ Emerging technologies: AR/VR for data exploration, ML-enhanced visualisation
Module 5: Masters Project (60 credits)
❚ Research methods and literature review
❚ Project proposal development and planning
❚ Legal, ethical, and professional considerations
❚ Independent project implementation
❚ Project report (8,000 words) with 10-minute confirmatory interview
