Business Analytics MSc – 2021 entry

In our fast-paced, data-driven modern world, business analysts help organisations turn big data into big ideas. Artificial intelligence, machine learning and management science power decisions in business. You’ll gain data-led insights and optimise businesses by using descriptive, predictive and prescriptive analytics.

Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in class and on-site, we will also make sure you’re immersed in the business problems faced by the global business community today.

We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World University Rankings 2020.

This course will take your career to the next level and develop your ability to make the big decisions about data in a confident fashion. Your studies will focus on two areas: analysing business data and using data to solve business challenges. On this course, you will have an opportunity to use artificial intelligence to improve a chess game, game theory to create games, or computational intelligence with genetic algorithms. You’ll also discover visualisations from graphs and explore virtual reality, gaining insights from data mining and machine learning.

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps. 

Important: In light of the Covid-19 pandemic, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the 2020/21 academic year. These changes include the implementation of a hybrid teaching approach. View detailed information on the changes. 

The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45 or 60, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.

The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes:

New students will receive their personalised timetable in Welcome Week, and in subsequent semesters, two weeks prior to the start of semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Timetabling Policy (PDF).