• Jacobs University Bremen gGmbH Featured Masters Courses
  • Anglia Ruskin University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • University of Southampton Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Ross University School of Veterinary Medicine Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
University of Manchester Featured Masters Courses
University of Manchester Featured Masters Courses
Vlerick Business School Featured Masters Courses
FindA University Ltd Featured Masters Courses
University of Cambridge Featured Masters Courses

Course content

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.

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.

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.

Professional recognition

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


Visit the Business Analytics MSc page on the University of Surrey website for more details!

Loading...

Loading...

Loading...

Loading...

Loading...


Enquire About This Course

Recipient: University of Surrey

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully




Cookie Policy    X