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.

Students will attend the mandatory Business Analytics Consulting Project unit, applying their 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. Students will 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 any of the following subjects:

Operational Research, Management Science, Decision Science, Mathematics, Statistics, Data Science, Finance (but not Accounting and Finance), Economics, Computer Science, Physics, Engineering, Biomedical/Life Sciences.

OR

An upper second-class honours degree or international equivalent in any discipline that includes 65% or above in at least two different quantitative units as listed.

If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.

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.

We will also consider your application if your grades are slightly lower than the programme's entry requirements, if you have at least one of the following:

• evidence of significant, relevant work experience (minimum six months) in sectors such as Digital Marketing, Data Science, Data Engineering, Banking and Finance or roles which require expertise in data analytics or statistics (and 65% or above in at least two different relevant modules).
• a postgraduate qualification.

If this is the case, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant work experience and/or qualifications. Specific module requirements would still apply, which could be met in either undergraduate or postgraduate qualifications.

See international equivalent qualifications on the International Office website.