Programme content
Artificial Intelligence is transforming how we interpret data, make decisions, and design technology. This full-time, one-year programme gives you the tools to understand the foundations of intelligent systems and the creativity to push their boundaries. Guided by faculty trained under Yorkʼs globally respected academic framework, youʼll learn how to design, evaluate, and deploy AI solutions that are both technically sound and ethically aware.
With hands-on learning, access to research-led teaching, and a strong industry orientation, this degree prepares you for advanced technical roles, research pathways, and leadership in the AI sector.
The MSc Artificial Intelligence at Yorkʼs Mumbai campus is designed for ambitious learners ready to move from studying algorithms to shaping them. Mirroring the structure and standards of Yorkʼs UK degree, this programme combines academic rigour with real-world relevance. Youʼll explore how learning systems evolve, how they make decisions, and how responsible AI can contribute to a more sustainable digital future.
Through a balanced combination of lectures, coding labs, and supervised research, youʼll gain the depth to tackle complex computational problems and the perspective to consider their social implications. Mumbaiʼs global outlook and industry density create a natural environment for collaboration, internships, and executive connections, enriching your learning journey beyond the classroom.
Programme Structure
The MSc Artificial Intelligence at the University of York Mumbai is a focused, full-time program that equips graduates with advanced technical skills and real-world AI fluency. This intensive one-year program combines advanced technical training with real-world relevance. You will explore machine learning, large language models, and natural language processing, and apply your knowledge to build intelligent, scalable, and ethical AI systems.
The programme comprises 120 credits of core modules, with students then able to take three optional modules (3 x 20 credits).
Year 1
Core modules
- Foundations of artificial intelligence and machine learning (20 credits)
- Deep learning (20 credits)
- Research methods for computer sciences (20 credits)
- Capstone project ( (60 credits)
Optional modules may include
- Natural language processing (20 credits)
- Governance of Data Science (20 credits)
- Autonomous robots (20 credits)
- Cloud Based Data Analysis (20 credits)
- Engineering LLM-Based Agents and Applications (20 credits)
- Large Language Models (20 credits)
- Professional & Academic Development (20 credits)
- AI Search & Logic (20 credits)
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Research project
As part of your masterʼs degree, you will undertake a major independent research project
beginning in April. Under the supervision of a faculty mentor, you will develop, test, and
evaluate an original idea within a chosen area of artificial intelligence. Throughout the
summer term, youʼll participate in one-to-one meetings and group discussions with your
supervisor and peers to refine your research design and methodology.
The project culminates in a dissertation of up to 8,000 words, where youʼll present your
findings with analytical precision and academic rigour. This experience strengthens your
research, programming, and critical-thinking skills while preparing you for professional or
doctoral-level work. Please note that the availability, topics, supervision, and structure are
subject to change based on faculty guidance and institutional requirements.
