This programme runs for one academic year, starting in mid-September and ending in August. At the start of the programme, you study compulsory courses, which are undertaken in semester one. These are the foundation upon which the whole MSc is built and ensure a common basis of knowledge across the different areas.
A comprehensive Welcome Week provides an introduction to the programme, the School, and the University. Designed to be both informative and fun, it enables you to get acquainted with your classmates.
Through the selection of various option courses, you can tailor your studies towards your career interests.
Finally, your MSc dissertation brings all of the year’s learning together in a piece of work unique to each student.
To give you an idea of what the programme structure and courses might consist of, the below information details the structure and courses for this programme in 2023/24.
Semester 1
September–December
Semester 2
January–May
Option courses (Group 1)*
Choose 2, 3, or 4
- Game Theory for Business Analytics
- Performance Analytics with DEA: Basic Concepts and Methods
- Soft Computing
- Web and Social Network Analytics
Option courses (Group 2)*
Choose 2, 3, or 4
- Industrial Organisation
- Performance Analytics with DEA: Advanced Concepts and Methods
- Simulation Modelling and Analysis
- Stochastic Optimization
Please Note: Courses may be delivered at different times. Some courses in Group 2 have recommended prerequisites.
Summer
June–August
*We will notify applicants of any changes to the programme structure and courses by 15 June in the year of entry to the course. We cannot guarantee that all option courses will run each year and occasionally there will be last minute amendments after this date due to unforeseen circumstances such as staff illness.
The content of individual courses and the programme for any given degree are under constant academic review in light of current circumstances and may change from time to time, with some programmes and courses being modified, discontinued, or replaced.
Due to high demand we cannot guarantee students a place on the optional course of their preference. Equally, if there is not enough interest in a given year for an option course then it may not be viable for us to run that particular option course. Some combinations of option courses may not be possible due to scheduling constraints.
Core and elective courses
Full programme details, including all available core and elective courses can be found on the University Degree Programme Tables website.
Business Analytics Degree Programme Table
Programme preparation
Students will be contacted prior to arrival and expected to complete some work prior to coming on campus in order to familiarise themselves with some of the systems they will be using during term time.
Past dissertations
Find out what topics past students have researched by browsing a selection of dissertation summaries by our postgraduates: