Taught course

Business Intelligence Systems and Data Mining

De Montfort University · School of Computer Science and Informatics

Entry requirements

Entry Requirement:

You should have the equivalent of a British honours degree (2:2 minimum) in a relevant subject. English Requirements: IELTS score of 6.0 or equivalent when you start the course is essential.

Months of entry


Course content

This course was developed and is run in conjunction with SAS, it will provide you with the knowledge and skills to effectively research, develop and apply business intelligence systems. These are computerised information systems which support an organisation in the decision making process. Many of the techniques used in this area are underpinned by predictive statistics and mathematical modelling. This course will emphasise the concepts and techniques of business intelligence systems and their application and development. You will have access to specialist computing laboratories including one suite reserved specifically for postgraduate students. Upon graduating you be well placed to take up more general management and business information systems development roles within industry, or to undertake academic research in this field.


First semester

• Fundamentals of Business

Intelligence Systems

• Data Warehouse Design and OLAP

• Research Methods

• Statistics

Second semester

• Data Mining

• Business Intelligence Systems

Application and Development

• Analytics Programming

Plus two from the following list:

• Management of Information Systems

• Human Factors in Systems Design

• Applied Computational Intelligence

• Artificial Neural Networks

Third semester

• Final Project

Information for international students

If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential.

Fees and funding

UK students
International students

Qualification and course duration


full time
12 months
part time
24-72 months
distance learning
24-72 months


part time
24 months
full time
8 months
distance learning
24 months


part time
12 months
distance learning
12 months
full time
4 months

Course contact details

Faculty of Technology Postgraduate Admissions
0116 257 7456