menu icon
Book your open day visit nowClick to book open day

Different course options

Full time | Stag Hill | 1 year | FEB-23

Study mode

Full time

Duration

1 year

Start date

FEB-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Business Modelling / Analysis

Course type

Taught

Course Summary

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 power decisions in business. 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 business problems faced by the global business community today.

What you will study

This course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You’ll learn and apply a range of techniques and tools to analyse data related to a range of diverse business operations contexts.

Careers and graduate prospects

We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University.

Business analytics students often pursue careers as:

  • Data scientists
  • Finance analysts
  • Operations researchers
  • Consultants
  • Managers
  • Business intelligence analysts.

Modules

This module is the science of examining raw data in order to support businesses and organisations in their decision making. On one hand this module looks at relationships of entities in databases using the Structured Query Language to extract relevant information efficiently. On the other hand it introduces unstructured data concepts. Special focus is given to Big Data providing knowledge, analysis and practical skills to gain additional business and customer insights. Fundamental statistical techniques to extract the essential management information are shown. This module is the foundation for further investigations and a cornerstone of the programme.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

13,500

International fees
Course fees for EU and international students

For this course (per year)

20,800

Entry requirements

A minimum of a 2:1 UK honours degree in either computer science, economics, engineering, finance 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.

University information

The University of Surrey was established in 1891, and has a long and rich history of education and innovation. It welcomes more than 4,000 postgraduate students annually, forming an international research and learning community representing over 120 countries from around the world. The university is known for celebrating cultural diversity and fosters an inclusive student body. The University of Surrey is a research-driven institution, and...more