Data Analysis for Business Intelligence

College of Science and Engineering, University of Leicester

Course Options
  • MScFull-timeSeptember1 yearsGBP 18250 year

Notes about fees for this course

Home / EU students:

£9,310

International students:

£17,465

Course Information

The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity.” According to IBM, mankind creates 2.5 quintillion bytes of data every day. Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world.

The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills.

You will learn how to identify and correlate potential patterns in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems.

This degree is jointly managed by our Department of Mathematics and our Department of Computer Science and includes the option of two industry standard professional IT certifications.

Entry Requirements For This Course

2:2 degree in Maths or related subject (eg. Physics) or equivalent international qualification. If your background is in computer science we will assess your student transcript.

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

Postgraduate pathways and pre-masters at other institutions

If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:

Course Contact Details

Phone

+44 (0)116 252 3497

Institution Location