The MSc in Data Science and Artificial Intelligence offers a comprehensive blend of core data science disciplines and cutting-edge AI techniques. Students develop a strong foundation in programming, statistical methods, machine learning, and applied AI. Optional modules allow for deep specialization in areas such as bioinspired optimisation, computational intelligence, and data-driven policy analysis. The course culminates in a substantial MSc Project, enabling learners to demonstrate independent research and innovation.
MSc in Data Science and Artificial Intelligence
1 Year
180 (Core: 120 | Optional: 60)
Master's Degree
| Study Mode | Delivery Mode | Language | Credits |
|---|---|---|---|
| Full Time / Part Time | Live (Online) Delivery | English | 180 |
MSc in Data Science and Artificial Intelligence |
|---|
| Modules: |
| • MSC PROJECT – 60 credits |
| • PROGRAMMING FUNDAMENTALS |
| • RESEARCH METHODS IN COMPUTER SCIENCE |
| • MATHS AND STATISTICS FOR AI AND DATA SCIENCE |
| • APPLIED ARTIFICIAL INTELLIGENCE |
| Optional Modules (Choose Any Four Subjects total of 60 Credits) |
| • DATABASE AND INFORMATION SYSTEMS |
| • BIG DATA AND SOCIETY: FOUNDATIONS, POLITICS, AND POLICY |
| • DATA MINING AND VISUALISATION |
| • WEB PROGRAMMING |
| • MSC GROUP PROJECT |
| • MACHINE LEARNING AND BIOINSPIRED OPTIMISATION |
| • COMPUTATIONAL INTELLIGENCE |
| • ARTIFICIAL INTELLIGENCE AND COMMUNICATION |
| • BIG DATA AND SOCIETY: ALGORITHMS AND PLATFORMS |
| MSc in Data Science and Artificial Intelligence |
This programme is designed to develop professionals with advanced analytical, technical, and theoretical knowledge in data science and artificial intelligence (AI). It prepares students to solve real-world challenges using AI-driven technologies, machine learning models, and large-scale data processing. Graduates will be equipped to lead innovations in both academic and industry environments across diverse sectors such as technology, healthcare, finance, and public policy.
- A Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Relevant industry experience may be considered in lieu of formal qualifications.
- English language proficiency (IELTS 6.0 or equivalent, if applicable).
Graduates may pursue roles such as:
- Data Scientist
- AI Engineer
- Machine Learning Specialist
- Data Analyst
- Computational Intelligence Researcher
- Big Data Consultant
- Policy Analyst in Tech Regulation
Graduates may pursue:
- Doctoral research (PhD, DPhil) in Artificial Intelligence, Machine Learning, or Data Science.
- Advanced professional certifications (e.g., TensorFlow, Microsoft AI Engineer, AWS Data Analytics).
Every effort has been made to ensure the accuracy of this course information. However, all academic programs are subject to periodic review and development. Changes may occur to comply with accreditation standards, student feedback, or to reflect advancements in the field. The program team reserves the right to update modules or structures in the best interest of learners.