MSc Business Analytics

Successful completion of four core units, two optional units, and a final business analytics dissertation project lead to an MSc Business Analytics award.

In the first term, core units provide a foundation in descriptive, predictive, and prescriptive analytics. You will develop skills in Python, data preparation, applying statistical models and machine learning, data visualisation and decision-making for complex business processes across areas like marketing, people analytics, project analytics, financial portfolio optimisation, and productivity analysis.

In the second term, you can choose electives to deepen your expertise. Options may include:

• Social media and web analytics, covering topics like social network analysis, natural language processing, and sentiment analysis;
• Optimisation, focusing on algorithms for solving large-scale optimisation models;
• Decision-making in business analytics, exploring heuristics and biases in managerial judgment;
• Ethics and sustainability issues in business analytics.

Attend the mandatory Business Analytics Consulting Project unit, applying your knowledge to real-life business problems for an external client.

In the summer term, students will undertake the Business Analytics Dissertation Project, applying the knowledge acquired to research a topic of interest. This project builds on prior learning and enhances their critical analysis skills. Explore real-world business problems, provide practical solutions, and communicate findings to relevant stakeholders. Visit our programme catalogue for more details.

You will typically need an upper second-class honours degree or an international equivalent in a quantitative degrees (including Accounting and Finance, Actuarial Sciences, Computer Science, Data Science, Economics, Engineering, Finance, International Economics and Trade, Maths, Physics, Commerce (with specialism in Accounting/Finance/Accounting and Finance/Economics).

OR

An upper second-class honours degree or international equivalent in any discipline (including joint degree programmes) with 2 DIFFERENT modules at 60% or equivalent from the modules in the Maths qualification requirements list below or similarly titled modules.

We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.

If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing:

• evidence of relevant work experience (5 years minimum) in Digital marketing, Data/Business analytics, Data Science, Data Engineering, Banking and Finance, any other work sectors/experience requiring expertise in business/data analytics/analysis and/or statistics (e.g. data analyst; human resource/people analytics; retail analytics; logistics, healthcare analytics). Policy analyst and business analyst may also be considered provided you can demonstrate the use of data analytics and/or statistics as part of your work.
• a relevant postgraduate qualification.

See international equivalent qualifications on the International Office website.