AACSB Accredited

Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and consultancy skills.

In the era of Big Data, analytics is becoming a strategic necessity in virtually all areas of business and is an essential tool to drive real-time decisions, foster evidence-based decision-making and sustain competitive advantage.

At Kent Business School our MSc in Business Analytics equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimize courses of action.

Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, database management, forecasting and regression, optimization, simulation and spreadsheet modelling among others.

According to a recent ranking by U.S News and World Report; Market Research Analyst and Operations Research Analyst are in the top four Best Business Jobs of 2015, and Harvard Business Review claims Data Scientist is the ‘sexiest job of the 21st century’, with practitioners having rare and highly sought-after skills.

The full-time programme is designed to meet the growing demand for graduates with analytics capabilities. Students will learn how to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives, and anticipate and shape business outcomes in a rapidly changing environment.

The programme places great emphasis on the use of the latest state-of-the-art analytics, simulation and optimisation technologies, including MS Excel, SPSS, MySQL, Simul8, VBA, Weka and IBM ILOG OPL.

Throughout the programme, you will have the opportunity to work for real organisations to improve your consultancy skills and enhance your employability through our Student Implant Scheme, which bridges the gap between classroom learning and the real world. There are also a variety of activities, including case studies, team project work, guest lectures and industry visits to aid your learning.

Upon graduation, you will be ready to start a fast-track career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.

This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of data analysis and predictive modelling skills as well as management, communication and consultancy skills.

Programme Information

The course structure provides a sample of the modules available for this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.

Compulsory modules lay down the foundations for your MSc programme of study:

  • Applied Business Modelling
  • Business Statistics and Database Management
  • Consultancy and Research Skills
  • Data Mining and Forecasting
  • Management of Operations
  • Management Science Modelling

Optional modules allow you to further specialise your MSc programme of study.

  • Applied Marketing Research
  • Financial and Management Accounting
  • Heuristics and Optimisation
  • Introduction to Logistics and Supply Chain Management
  • Performance Management
  • Simulation and Optimisation Software
  • Warehousing and Transport Management


The programme involves a taught and a project component. The taught programme is assessed by a mixture of coursework assignments throughout the year, and by examinations in May and June.

Once these are completed, you work full-time on the project component and write a Dissertation based on this, applying the techniques and insights presented in the programme to a specific problem area.

Entry Requirements

Students who wish to apply for a higher degree should have a good honours degree from the UK (minimum 2:2) or equivalent internationally recognised qualifications in a quantitative discipline, such as statistics, logistics, mathematics, engineering or any other mathematically based natural science discipline.

Applicants without an honours degree may also be considered on the basis of work experience, professional qualifications and the relevance of the programme to their current professional role.

Proof of English language proficiency is required, we do offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.

Program taught in:
Kent Business School, University of Kent

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Last updated November 8, 2018
This course is Campus based
Start Date
Sept. 2019
Full time
10,480 GBP
Home/EU: £10,480 / Overseas: £18,400
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