This interdisciplinary Master's program offers a robust foundation in Data Analytics and Artificial Intelligence, with teaching primarily from the School of Mathematical Sciences and optional modules from the Business School. The curriculum focuses on applying data analytics and AI techniques to decision-making in data-rich environments. You will develop a strong mathematical understanding alongside practical, interdisciplinary skills, delving into the theory behind algorithms and methods to tackle real-world challenges. The program is ideal for aspiring data professionals, STEM graduates seeking to enhance their data skills, and non-STEM professionals looking to transition into data-driven careers.
This course is modular, with 180 credits completed over 12 months. You will study core modules and a range of optional modules across the autumn and spring semesters, followed by a significant dissertation project in the summer semester. This project can be undertaken in collaboration with industry or as a funded placement.
This program prepares graduates for a variety of roles in the growing field of data analytics and AI. You will gain the skills needed to work with data, develop algorithms, and drive decision-making in various industries.
The entry requirement listed is a 2:1. Specific subject requirements may apply. Please check the course page for detailed information.
Tuition fees are for the 2026/27 academic year.
The tuition fees for international students for the 2026/27 academic year are £28,600 per year.
The program is full-time and lasts for 12 months, with a start date in September 2026.
Applicants should hold a UK Bachelor's degree with a 2:1 or equivalent in a relevant subject.
Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, AI Specialist, or Business Analyst.
Applications are made directly to the University of Nottingham through their postgraduate application portal. You should check the university website for specific deadlines and processes.