MSc Data and Decision Analytics (Online)

You will need a UK first-class or 2:1 honours degree in one of the subjects below, or an equivalent overseas qualification.

• An undergraduate degree in any disciplinary area related to management science, operational research, statistics, econometrics, mathematics, physics, computer science, engineering, or business and management which incorporates a distinct quantitative element is required
• Candidates with a first class or 2:1 honours degree in an unrelated subject area but who have relevant work experience will be considered on an individual basis
• Candidates’ background should ideally include courses and/or experience gained in topics such as linear algebra, calculus, probability, and statistics

See our website for fees

We expect the programme to open a range of career pathways in analytics for our graduates or to allow them to progress further within their existing career. Roles we anticipate to be among these pathways include:

• Business consultants
• Business analysts
• Data analysts
• Business intelligence and analytics consultants
• Metrics and analytics specialists
• Analytics associates
• Solution architects
• Business process analysts
• Management consulting associates
• Operational research consultants

Compulsory courses
Applied Decision Optimisation
Applied Machine Learning
Data Analysis and Statistics for Business
Python Programming
Storytelling in Data and Decision Analytics

Option courses
Time Series
Data Management
Analytics of Decision Making under Multiple Criteria
Heuristic Optimisation
Introduction to Stochastic Optimisation
Advanced Stochastic Optimisation

Dissertation in Data and Decision Analytics
The dissertation is an in-depth study of a topic in which you are particularly interested in within the field of Data and Decision Analytics. Undertaking the dissertation requires you to develop a deep level of analysis and understanding of the theory and processes of organisations and the business environment through the completion of a piece of individual research.