Why choose this course

In our fast-paced, data-driven modern world, business analysts help organisations turn big data into big ideas. 

Artificial intelligence, machine learning, and management science drive business decision making. You’ll gain data-led insights and optimise businesses by using descriptive, predictive and prescriptive analytics.

Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in class and on-site, we will also make sure you’re immersed in the real-world business problems facing the global business community today.

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 make the big decisions about data in a confident fashion. The course focuses on two areas: analysing business data and using data to solve business challenges.

This course includes a placement module as a final project, where you’ll apply what you’ve learned in a relevant organisation. This course has two main pathways: operations or finance. Whichever pathway you choose, you’ll also have the opportunity to take advantage of a placement with companies in the sector.

You’ll have the opportunity to use artificial intelligence to improve a chess game, game theory to create games, and computational intelligence with genetic algorithms. You’ll also discover visualisations from graphs, discover virtual reality, gaining insights from data mining and machine learning.

Discover Business Analytics with the Programme Leader, Dr Wolfgang Garn.

Course facts

Qualification Study mode Course length Placement Start date
MSc Part-time 24 months October 2019
MSc Full-time (with placement) 15 months October 2019
MSc Full-time 12 months October 2019

Professional recognition

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.

Career prospects

Business analytics students often pursue careers as:

  • Data scientists
  • Finance analysts
  • Operations researchers
  • Consultants
  • Managers
  • Analysts.

Placements

If you choose our placement option, you could take advantage of a placement with companies working in the sector of your choosing.

Students are generally not placed by the University, but we give you thorough support and guidance as well as access to a vacancy portal which includes thousands of placement opportunities every year. If you don’t secure a placement, you’ll be able to transfer to the 12 month course with the same title.

Software

You’ll get hands-on experience using a wide range of tools in the course, including:

  • Excel (using the Solver and Data Analysis add-ins)
  • Tableau or Microsoft Business Intelligence for decision making and visual analytics
  • SQL Server or MySQL for databases and structured query language
  • SAP for enterprise resource planning
  • R as the number one analytics language for machine learning, AI and prescriptive analytics
  • SPSS and EViews for decision science, statistics and forecasting
  • ILOG’s Optimisation Studio (Cplex) and MathProg (GPLK) for numerous optimisations (LP, IP, 0-1 P, MIP)
  • Simul8 and Simio for discrete event simulations and virtual reality animations.

Programme leader

FAKHIMI M 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.

Disclaimer

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.

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Our students

Discover

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

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.

Year 1 (full-time)

Optional modules for Year 1 (full-time) - FHEQ Level 7

Choose 1 optional module from 2 in Semester 1
Choose 2 optional modules from 6 available in Semester 2:
- MANM282 INVESTMENT ANALYSIS can only be chosen if a student has previously completed MANM097 FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS.
- MANM302 INFORMATICS FOR DECISION MAKING can only be chosen if a student has previously completed MANM301 Data Analytics.

Students on the placement pathway must undertake the 60 credit placement module. Students NOT on the placement pathway must undertake the 60 credit dissertation module.

Year 1 (part-time)

Optional modules for Year 1 (part-time) - FHEQ Level 7

Choose 1 optional modules out of 4 available in Semester 2.

Year 2 (part-time)

Optional modules for Year 2 (part-time) - FHEQ Level 7

Choose 1 optional module from 2 in Semester 1
Choose 2 optional modules from the 6 available in Semester 2:
- MANM282 INVESTMENT ANALYSIS can only be chosen if a student has previously completed MANM097Foundations of Finance: Finance & Investments. The option can only be chosen if the module was not taken in year 1.
- MANM302 INFORMATICS FOR DECISION MAKING can only be chosen if a student has previously completed MANM301 Data Analytics. The option can only be chosen if the module was not taken in year 1.

Timetable

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, Academic Skills and Development and Additional Learning Support (ALS) which can help develop your learning.

Academic Skills and Development

Academic Skills and Development 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

Additional Learning Support (ALS) is the University of Surrey’s disability and neurodiversity service. The ALS team supports students with disabilities, long-term health conditions, specific learning differences (such as dyslexia and dyspraxia) and other neurodiverse conditions (including autism spectrum and attention deficit disorder).

If you tell us about any conditions and register with us, we can give you appropriate support during your studies.

We can arrange exam and learning support adjustments, give advice on applications for the Disabled Students' Allowance, and test you for dyslexia and dyspraxia. We can also offer regular study skills and mentoring support.

See the Additional Learning Support website for more information.

Entry requirements

A minimum of a 2:2 UK honours degree in either Computer Science, Economics, Engineering, Finance, Physics or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements.

View entry requirements by country

English language requirements

IELTS Academic: 

Full-time: 6.5 overall with 6.0 in each element.

Part-time: 6.5 overall with 6.0 in each element.

Full time with placement: 7.0 overall with 6.5 in each element.

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.

Credit transfer

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.

Fees

Study mode Start date Placement UK/EU fees Overseas fees
Part-time October 2019 £6,200 £9,500
Full-time (with placement) October 2019 £13,000 £20,500
Full-time October 2019 £12,300 £19,000

Please note:

  • These fees apply to students commencing study in the academic year 2019-20 only. Fees for new starters are reviewed annually.
  • If you are on a two-year full-time Euromasters or MFA programme, or a two-year or three-year part-time masters programme (excluding modular/self-paced/distance learning), the annual fee is payable in Year 1 and Year 2 of the programme.

View the list of fees for all postgraduate taught courses.

Admission information

Our postgraduate admissions policy provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students. You can also read our postgraduate applicant guidance.

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Brochure

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Find us

Address
01SE01, Senate House
University of Surrey
Guildford
Surrey GU2 7XH