Course overview
This is an interdisciplinary programme that provides a solid foundation in data analytics and artificial intelligence. You’ll be taught principally by the School of Mathematical Sciences, with the option to choose modules from the Business School. Our unique curriculum teaches you how various approaches in data analytics and AI can be applied to decision making in modern, data-rich environments.
In addition to the core data analytics component, the programme includes options to specialise in:
- Modelling and AI for health sciences and pharmacology
- Data-driven techniques for business analytics
- Statistical machine learning and AI
The flexible structure gives you an opportunity to specialise or keep your options open, aligning your education with your career goals and interests.
During the course, you‘ll develop a strong mathematical foundation along with practical and interdisciplinary skills. You‘ll also learn the theory behind data analytics and AI, gaining insight into the "why" behind algorithms and methods, and practise tackling real-world challenges.
This course is ideal for:
- Aspiring data professionals: Those looking to work in data analysis, data science, machine learning and AI
- STEM graduates and professionals: Individuals wanting to improve their data skills and solve real-world problems
- Industry professionals: People aiming to learn modern data analytics, statistics and AI techniques
- Non-STEM professionals: Those wishing to switch to data-driven careers
