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  Data Analysis for Business Intelligence - MSc


University of Leicester    Mathematics

Full time September, January MSc 12-28 months, full-time Award winner
Business & Management (5) Mathematics (25)

FindAMasters summary

Are you ready to dive into the world of data analysis and business intelligence? The MSc in Data Analysis for Business Intelligence at the University of Leicester is the perfect programme for you. This course will equip you with practical skills in databases, applied statistics, data mining, and operational research. With the increasing demand for data analysis professionals, this programme will give you a competitive edge in the job market. Whether you have a background in maths, physics, or computer science, we have tailored entry requirements for you. Join us and gain hands-on experience through industry projects and the opportunity to earn professional IT certifications.

About the course

The course is designed for students who want to gain practical experience in databases and a rigorous understanding of applied statistics, data mining, operational research and related areas. The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity” and estimated the gap in data analysis professionals of approximately 140,000 to 190,000 potential positions. 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 discover knowledge in data as well as honing the required skills to perform predictive modelling prescriptive modeling in real-world business situations through core modules such Financial Services Information Systems , Data Mining Neural Networks , plus your choice of option modules from Statistical Data Analysis or Advanced C++ Programming . Your summer project based on real industry datasets lets you apply what you have learned while meeting possible employers such ARM or Capital One.

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Entry Requirements

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.




 Course Content

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