Business Analytics MSc

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Why Surrey?

Surrey Business School’s Business Analytics programme is dedicated to producing creative and knowledgeable Business Analysts with the ability to convert Big Data to actionable insight in business.

Whether it’s using Artificial Intelligence to improve a chess programme, or understanding the power of visualisation from a simple graph.

With input from industry experts in class and on-site, you will engage with real-world business problems.

Programme overview

Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.

This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.

The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.

Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.

Programme structure

The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Career prospects

Business analytics students often pursue careers as consultants, researchers, managers, and analysts.

Software

You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows:

  • Excel (using the Solver and Data Analysis Add-Ins) and Tableau for decision making and visual analytics
  • COGNOS and SQL Server for Business Intelligence for analytical processing
  • Apache Hadoop (Map Reduce) with Amazon’s Elastic Cloud or IBM’s Smart Cloud for distributed Big Data analytics
  • SAP for Enterprise Resource Planning
  • R, SPSS and EViews for coding, statistics and forecasting
  • ILOG’s Optimisation Studio (Cplex) for optimisations
  • Matlab for algorithms and programming and Simulink (SimEvents) for simulations
  • Arena (or Simul8) for Discrete Event Simulations

Who we work with

This programme is run in cooperation with IBM.

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Educational aims of the programme

The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.

It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.

The programme will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.

It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.

Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.

The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.

The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.

The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.

Programme learning outcomes

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

Knowledge and understanding

  • A systematic, in-depth understanding of the development; issues and influences relevant to discipline of Management Decision Making, Management Science, and Data Science.
  • Deep and thorough understanding of quantitative analytical methodologies and hands-on experience with decision-making software and data management tools.
  • Knowledge about issues, application and analysis of Big Data
  • An understanding of the academic research process.

Intellectual / cognitive skills

  • Demonstrate deep learning, understanding of the material and ability to apply the knowledge and demonstrate skills in problem solving in the topic space of the modules studied
  • Carry out assessments of data in a repository, select the appropriate analysis tools, design and execute an analytical methodology (not required for PG Certificate), apply adequate visualization methodologies to present the results and interpret the findings and finally to communicate the results effectively to a select audience

Professional practical skills

  • Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics
  • Know and apply a range of techniques and tools to analyse data related to business operations
  • Capability of selecting the right methodology and software to solve management and operational business issues
  • Relate existing knowledge structures and methodologies to analytical business challenges

Key / transferable skills

An ability to conduct research and produce a high quality dissertation - this includes the ability to:

  • Conduct critical literature review; to select, define and focus upon an issue at an appropriate level
  • Develop and apply relevant and sound methodology
  • Apply the methodology to analyse the issue
  • Develop logical conclusions and recommendations
  • Be aware of the limitations of the research
  • Identify modifications to existing knowledge structures and theoretical frameworks and therefore to prose new areas for investigation, new problems, new or alternative applications or methodological applications

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Learn more about opportunities that might be available for this particular programme by using our student exchanges search tool.

Professional recognition

Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).

Fees

Study mode Start date UK/EU fees Overseas fees
Full-time Sep 2017 £11,500 £19,500

Please note these fees are for the academic year 2017/2018 only. Annual fees will rise by four per cent (rounded up to the nearest £100) for each year of study.

A complete list of all fees for our Masters Programmes

Related programmes

Postgraduate (Taught)

Related departments/schools

Related research areas

Programme leader

Dr Wolfgang Garn

Find out more

General enquiries:

+44 (0)1483 681 681

Admissions enquiries:

+44-(0)1483-682-222

admissions@surrey.ac.uk

Course facts

Qualification Study mode Course length Start date
MSc Full-time 12 months Sep 2017

Entry Requirements

Applicants should normally hold a Bachelors degree (UK 2.1 or above) or equivalent qualification from a British or overseas university in a related subject with significant exposure of mathematical subjects: economics, finance, mathematics, computer science or engineering subjects.

If an applicant’s Bachelors degree is not in a subject related to the MSc, some relevant work experience would be an advantage. Higher level professional qualifications may also be accepted. Each applicant is assessed on their own merit.

View entry requirements by country

English language requirements

IELTS 6.5 overall, 6.0 in each component (or equivalent)

We offer intensive English language pre-sessional courses, designed to take you to the level of English ability and skill required for your studies here.

Funding

Loans, scholarships and financial support

There are many streams of funding for postgraduate students including awards, scholarships and loans. Learn more.

 

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Discounts for Surrey graduates

Thinking of continuing your education at Surrey? As an alumnus of Surrey you may be eligible for a ten per cent discount on our taught Masters programme fees.

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The Surrey International Scholarship for Excellence

For all (with the exception of MBA) postgraduate taught courses starting in September 2017 within the Surrey Business School, the School of Hospitality and Tourism Management and the School of Law, we are offering all applicants who hold a  UK 2:1 honours degree (or equivalent) or above opportunity to be awarded between £2,000 and £4,000 through the Surrey International Scholarship for Excellence Scheme. Download a flyer or read more for eligibility and to apply.

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Admissions Information

Our Admissions Policy provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students.

Further information for applicants

Postgraduate Study Advice

Steps to Postgraduate Study is an official, independent guide for anyone considering a taught postgraduate course. The guide is produced by the Higher Education Funding Council for England (HEFCE), the Higher Education Funding Council for Wales, the Scottish Funding Council and the Department for Employment and Learning, Northern Ireland.

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Disclaimer

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability and/or student demand.

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