Business Analytics MSc
Why choose this course
Surrey Business School’s Business Analytics MSc is dedicated to producing creative and knowledgeable business analysts with the ability to convert big data to actionable insight in business.
With input from industry experts in class and on-site, you will engage with real-world business problems from leading contemporary organisations.
What you will study
Artificial intelligence, machine learning, and big data; new technologies and ways of working are changing the way we make decisions. This course 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.
This course includes a placement module as a final project, where you’ll take what you’ve learnt and apply it in a relevant organisation. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject. This course has two main pathways: operations or finance. Whichever pathway you choose, you’ll be well placed to take advantage of a placement with companies in the sector.
Students have the opportunity to use artificial intelligence to improve a chess game, game theory to create games, and computational intelligence with genetic algorithms.
You will also learn the power of visualisation from graphs, discover virtual reality, gaining insights from data mining and machine learning.
|Qualification||Study mode||Course length||Placement||Start date|
|MSc||Full-time||12 months||October 2018|
|MSc||Part-time||24 months||October 2018|
|MSc||Full-time (with placement)||15 months||October 2018|
Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).
Study and work abroad
There may be opportunities to acquire valuable European experience by working or conducting research abroad during your degree or shortly afterwards. It is possible to do this in the summer period with an Erasmus+ grant working on your dissertation or as a recent graduate. In order to qualify your Erasmus+ traineeship must be a minimum of two months.
Business analytics students often pursue careers as consultants, researchers, managers and analysts.
Students are generally not placed by the University, however they are given thorough support and guidance alongside access to a vacancy portal representing thousands of placement opportunities each year. If you do not secure a placement you will be eligible to transfer to the 12 month programme with the same title.
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
GARN W Dr (SBS)
Terms and conditions
When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations, and our terms and conditions. These terms and conditions are provided in two stages: first when we make an offer and second when students who have accepted their offers register to study at the University. View our offer terms and conditions and our generic registration terms and conditions as a guide as to what to expect.
Please note: our offer terms and conditions will be available in the September of the calendar year prior to the year in which you begin your studies. Our registration terms and conditions will vary to take into account specifics of your course.
This online prospectus has been prepared and published in advance of the academic year to which it applies. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read more.
The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes.
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.
This course is subject to validation therefore no modules have been confirmed at this moment in time. These modules will appear once the course has been validated.
Timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the course administrators. View our Timetabling Policy (PDF).
Learning and disability
We have two services, the Student Personal Learning and Study Hub (SPLASH) and Additional Learning Support (ALS) which can help develop your learning.
Student Personal Learning and Study Hub
SPLASH is a learning space in the Library where our learning development team is based. It comprises dedicated Student Learning Advisers and Information Skills Librarians who can help you develop your academic and research skills, including writing, presenting, revision and critical thinking.
Find out more about the study support available.
Additional Learning Support
ALS is the University’s disability and neurodiversity service which supports students with disabilities, long-term health conditions, specific learning differences (for example: dyslexia and dyspraxia) and other neurodiverse conditions (for example: autism spectrum and attention deficit disorder).
If you have a disability, we encourage you to disclose your condition and register with the service so you can be appropriately supported during your studies.
The ALS team can arrange exam and learning support adjustments, give advice on applications for the Disabled Students' Allowance and screen students for dyslexia and dyspraxia. Regular study skills and mentoring support is also available.
See the Additional Learning Support website for more information.
Applicants should normally hold a Bachelors degree (UK 2:1 or above) or equivalent qualification from a recognised British or overseas university in a related subject with significant exposure of mathematical subjects: (economics, finance, mathematics, computer science or engineering subjects).
Applicants holding a Bachelor’s degree with a 2:2 result in a relevant subject (or overseas equivalent) may still be considered if they also hold a minimum of three years full time graduate work experience in an analytical and data-intensive field. 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 Academic: 6.5 overall, 6.0 in each component (or equivalent).
View the other English language qualifications that we accept.
If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses, designed to take you to the level of English ability and skill required for your studies here. The University of Surrey is also an IELTS test centre.
The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If this applies to you, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims.
Please see the Code of practice for recognition of prior learning and prior credit: taught programmes (PDF) for further information. Please email Admissions with any queries.
|Study mode||Start date||Placement||UK/EU fees||Overseas fees|
|Full-time (with placement)||October 2018||£12,000||£20,500|
Please note these fees are for the academic year 2018/19 only. Annual fees will rise by four per cent (rounded up to the nearest £100) for each year of study.
Scholarships and bursaries
Surrey International Scholarship for Excellence 2018 entry
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Discounts for Surrey graduates
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