University of Leicester

University of Leicester

Data Analysis for Business Intelligence

This course prepares students to work with data in the business environment. The course provides a route for students in their transition from undergraduate study to employment in data-led sectors. It provides the opportunity to gain practical experience in databases (and achieve two professionally accredited certificates) and a rigorous understanding of applied statistics, data mining, operational research and related areas.

Entry requirements

2.2 undergraduate degree in mathematics or other numerate subject such as physics or equivalent international level. Applicants from a computer science background would be considered on a case by case basis through the assessment of the student transcript. International students will need to meet the University English language requirements for Science based courses (eg IELTS 6.0).

Course modules

Core Modules: scientific computing; mathematical modelling; C++ programming and advanced algorithms; operations research; data mining and neural networks; financial services information systems; research project. Optional modules include: generalised linear models; financial mathematics 1; computational methods for partial differential equations; applied statistics; further statistics; internet and cloud computing; game theory; analysis and design of algorithms.

Assessment methods

Assessment is through written exams, marked assignments, assessed problems, oral presentations and written project reports. The term will also include preparation of two IT certification exams (with mini-projects for each system): SAS and SQL.


Qualification Study mode Fee Course duration
MSc Full-time £ 8,910 per Academic year (home fees) 1 years
MSc Full-time £ 16,715 per Academic year (overseas fees) 1 years
MSc Full-time £ 8,910 per Academic year (EU fees) 1 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
University of Leicester Leicester LE1 7RH East Midlands

Key information

Telephone number: 
0116 252 3896