MSc Business Analytics

Course Details

You will study four compulsory modules to give you an overview of key business areas, and take four optional modules of your choice available through various study routes on this one-year course. Please note that availability and delivery modes may vary. Assessment is usually a mix of exams and coursework. Your project and dissertation will either be as a consultant to an organisation or as applied research.

Programming skills
We support the learning of multiple programming languages with access to a variety of interactive online materials, covering SAS programming (provided by the SAS Institute), R and Python (provided by Data Camp). 

Consultancy project
Working as a consultant tests your ability to assess a problem and adopt the best approach to tackling it, as well as your client liaison and management skills. You will usually write a client report in addition to your 12,000 word dissertation.

  • Review & development of pricing models for a leading bank
  • Market strategy for a manufacturing group
  • Developing a bespoke analytical tool for a leading internet provider
  • Identifying benchmarking guidelines for the service operations industry

Research project
A research project allows you to explore a topic critical to effective decision-making in organisations. Supervised by one of our academics, demonstrate you can undertake systematic and rigorous applied research over 12,000 words.

Previous research projects

  • The impact of analytic consulting interventions
  • Rational consumer behaviour & decision-making
  • The impact of the EU Emissions Trading Scheme on reducing CO2 emissions
  • An analysis into the effects of advertising and word-of-mouth


Compulsory Modules

Analytics in Practice

With this module you will become familiar with the cross-industry standard process for data mining. The aim of the module is to teach you how to structure and conduct an analytical project including visualisation and communicating the project's results to the end-user.

Spreadsheet Modelling

Get hands-on computing experience with business computing tools, exploring simulation, stochastic processes, and general data management. Expand your conceptual and practical understanding of spreadsheets by building and specifying applications that meet the brief, and are both usable and well-documented.

Business Statistics

Gain a foundation in the analysis and presentation of quantitative data. Examine the basic elements of probability and statistics, essential to management science and operational research, and undertake computer-based analysis using a statistics package.

Operational Research Modelling

Develop your knowledge and understanding of a wide range of operational research techniques, with an emphasis on the role of modelling processes in decision-making. Gain practical experience in using optimisation, simulation, and decision analysis to model practical management problems and evaluate a range of options.

Example Optional Modules

Advanced Analytics: Models and Application

This module introduces advanced analytics using different optimisation models and demonstrates them with applications ranging from healthcare, sports, social networks, to asset management and fraud detection.



This module provides an introduction to current quantitative forecasting methods, and its overall aim is to develop practical competence in their use. The module concentrates on models for short term forecasting, as these illustrate all the basic principles of analysing, comparing and extrapolating different models.

Strategy Analytics

Develop skills to successfully help companies to develop and rehearse strategies using modelling and analytical techniques that support a strategic planning process.


Advanced Data Analysis

Explore a range of sophisticated statistical methods to convert information into knowledge. Gain practical experience in the use of specialised software to analyse large sets of data information, and be able to report on the analysis in a practical way for improved management decision-making.

Pricing & Revenue Management

Pricing and revenue optimization – or revenue management as it is also called – focuses on how a firm should set and update pricing and product availability decisions across its various selling channels in order to maximise its profitability. In this module you will learn to identify and exploit opportunities for revenue optimisation in different business contexts.

Discrete Event Simulation

Students will learn the theoretical underpinnings of discrete-event simulation and gain practical experience in problem solving using commercial simulation software.

Supply Chain Analytics

Supply Chain Analytics aims to introduce various (analytical, mathematical and statistical) techniques to analyse supply chain performance and to identify inefficiencies and risk factors in operational, managerial and financial aspects of a supply chain.

Text Analytics

Developed in conjunction with the SAS Institute, topics covered include:

  • Introduction to Reporting using Tables & Graphics in SAS
  • Introduction to SAS Enterprise Miner
  • Predictive Modeling Techniques using SAS
  • Model Assessment
  • Model Implementation
  • Introduction to SAS Text Miner
  • Overview of Text Analytics
  • Applications of Text Mining

Illustrative bibliography:

  • Introduction to Data Mining Using SAS Enterprise Miner, Patricia Cerrito, SAS Institute, 2006.
  • Data Preparation for Analytics Using SAS, Gerhard Svolba, SAS Institute, 2006.

See indicative compulsory and optional modules for this course More Less

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