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 bata; 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.

Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.

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.

Course facts

Qualification Study mode Course length Start date
MSc Full-time 12 months Oct 2018
Stag Hill

Professional recognition

Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).

Global opportunities

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 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

Programme leader

GARN W Dr (SBS)

Our students

  • Mojdeh Mehrganrad, PhD Management and Business

    "Studying for a PhD has been a life-changing experience. I have developed as an independent researcher and learned a lot about life in general."

    Read more

  • Diyah Widyaningrum, MSc Human Resource Management

    "I like how interactive and engaging the lecturers are when they teach. They interact based on slides, but what I like is that the lecturers are not just reading from slides; the lectures are engaging and helpful."

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Our graduates

  • Obiefule Iroabueke, MSc International Financial Management

    "Diligence, hard work, reliability and attention to detail, as well as being innovative and a team player, are skills that makes every graduate an asset to any employer."

    Read more

  • Harriet Swale, MSc Human Resource Management

    "I would highly recommend studying here. The University has a great reputation, it has fantastic campus facilities and teaching staff, and Guildford is a great place to live."

    Read more

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 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.

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.

Policies and regulations

Please refer to our academic regulations and student policies and regulations. These may be amended from time to time.

Learning and disability support

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 assist you in developing 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).

Students are encouraged to disclose their condition and register with the service so that they can be appropriately supported during their studies.

The ALS team can arrange exam and learning support adjustments, give advice on applications for Disabled Students' Allowance and screen students for dyslexia and dyspraxia. Regular study skills and mentoring support is also provided to students where appropriate.

See the Additional Learning Support website for more information.

Entry requirements

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).

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.

Recognition of prior learning

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 UK/EU fees Overseas fees
Full-time Oct 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.

View the list of fees for all postgraduate taught programmes.

Funding

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.

For more details

Loans, scholarships and financial support

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

For more details

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.

Contact us

Admissions enquiries

+44 (0)1483 682 222

admissions@surrey.ac.uk

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