Master of Science [M.Sc] [Data Analysis for Business Intelligence] From University of Leicester

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. This course seeks to train the generation of world-leaders in data analysis and, to this end, you will be taught by world-leaders in the field.

You will learn how to discover knowledge 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 and meet your possible employers. Our partners for these projects include Eon, General Electric, Weatherford International, ARM and CapitalOne. These projects not only give you an opportunity to meet potential employers, but also to explore options for creating your own start-up company.

Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence.

The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design and big data applications, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.

In the second semester you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as data mining techniques and methods. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.