Course summary
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
- 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
Entry requirements
2:1 BSc degree in mathematics, physics, economics, computer science, natural sciences or engineering. A solid background in mathematics, including calculus, linear algebra and the basics of probability and statistics.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD