Course summary
Learn the fundamental theories, approaches and analytical toolkit of data analytics, decision sciences, applied operational research and statistics.
- Gain a solid theoretical foundation and quantitative skills, alongside practical problem-solving techniques
- Apply your knowledge to real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools
- Use SAS Enterprise packages as part of the `Data Analytics for Business Decision Making' unit. SAS sponsor a coursework prize for this project
- Choose from a broad range of options to meet your interests or career aspirations
- Prepare for a career in consultancy, finance, retail, manufacturing, government analytics units, defence, IT systems, outsourcing and telecoms.
Entry requirements
We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent in a quantitative subject such as mathematics, statistics, physics, engineering, computing, management science or economics. When assessing your academic record we take into account your grade average , position in class, references and the standing of the institution where you studied your qualification. We particularly welcome applicants from institutions of high ranking and repute. When assessing your academic record we take into account your grade average , position in class, references and the standing of the institution where you studied your qualification. We particularly welcome applicants from institutions of high ranking and repute.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Fees for entry in 2024 have not yet been set.
Sponsorship information
Contact us for further information on scholarships available.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL