University of Surrey

University of Surrey

Business Analytics

**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.

Entry requirements

MSc: 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. 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.

Course modules

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps. FULL-TIME Year 1 (full-time) DISSERTATION FOR BUSINESS ANALYTICS - Core DATA ANALYTICS - Compulsory ECONOMETRICS 1 - Compulsory FOUNDATIONS OF FINANCE: FINANCE & INVESTMENTS - Optional PRINCIPLES OF ACCOUNTING - Optional SUPPLY CHAIN MANAGEMENT AND LOGISTICS - Compulsory BUSINESS PROCESS MANAGEMENT (WITH SAP) - Optional ECONOMETRICS 2 - Optional INFORMATICS FOR DECISION MAKING - Optional INNOVATION MANAGEMENT - Optional INTRODUCTION TO MARKETING ANALYTICS - Optional INVESTMENT ANALYSIS - Optional MACHINE LEARNING & VISUALISATIONS - Compulsory SUPPLY CHAIN ANALYTICS - Compulsory 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. Please see our website for details of the part-time and full-time 'with placement' modules.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2019 - 12 Months
MSc Mixed mode September 2019 - 15 Months
MSc Part-time September 2019 - 24 Months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Main Site GU2 7XH South East

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Key information

Contact: 
Admissions Services
Telephone number: 
01483682222