• University of Leeds Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Cambridge Featured Masters Courses
  • Jacobs University Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Ulster University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
King’s College London Featured Masters Courses
Nottingham Trent University Featured Masters Courses
Queen Margaret University, Edinburgh Featured Masters Courses
University of Leicester Featured Masters Courses
Durham University Featured Masters Courses

Operational Risk with Data Science (MSc)

Course Description

Programme description

This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights, handling large data sets to managing investments and minimizing risks. The skills of Operational Research (OR) and Data Science are in high demand.

The MSc in Operational Research with Data Science is a new, forward-looking programme that delivers high-quality training in operational research, optimization and statistics. Students will have strong technical skills in these areas and the ability to apply them using appropriate software.

This MSc programme delivers:

technical skills in operational research, optimization and statistics
practical skills in programming and modelling for a wide range of applications
communications skills in writing and audio-visual presentation

Programme structure

You need to obtain a total of 180 credits to be awarded the MSc. All students take courses during semester 1 and 2 to the value of 120 credits, of which compulsory course units comprise 50 credits. Successful performance in these courses (assessed through coursework or examinations or both) permits you to start work on a three-month dissertation project (60 credits) for the award of the MSc degree.

Compulsory courses (50 credits):

Fundamentals of Optimization
Fundamentals of Operational Research
Methodology, Modelling and Consulting Skills
Computing for Operational Research and Finance
Statistical Regression Models

Themed courses (50-70 credits):

Machine Learning & Pattern Recognition
Bioinformatics 1
Stochastic Modelling
Credit Scoring
Large Scale Optimization for Data Science
Modern Optimization Methods for Big Data Problems
Optimization Methods in Finance
Combinatorial Optimization
Time Series Analysis and Forecasting
Advanced Computing for Operational Research
Operational Research in Telecommunications
Biomedical Data Science
The Analysis of Survival Data
Likelihood and Generalized Linear Models
Probabilistic Modelling and Reasoning

Optional courses (0-20 credits) chosen from postgraduate courses in the following areas:

Data Science

Learning outcomes

At the end of this programme you will have:

flexible problem-solving skills based on deep knowledge of operational research, optimization, data analysis techniques and the ability to apply them using appropriate software
transferable skills to maximize their prospects for future employment, including writing, oral presentation, team-working, numerical and logical problem-solving, planning and time-management

Career opportunities

Graduates will gain the transferable skills required to pursue careers in a data-rich operational research environment, and will be in an ideal position to apply for work in a wide range of institutions in the public and private sector. The degree is also excellent preparation for further study in operational research, optimization or data science.

Industry-based dissertation projects

The dissertation projects of approximately half the students on this programme take place in public and private sector organisations. Other students choose a University-based project.

Visit the Operational Risk with Data Science (MSc) page on the University of Edinburgh website for more details!

Entry Requirements

At least a UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business. Some previous study of probability and statistical theory at university level will be required.

Email Enquiry

Recipient: University of Edinburgh
Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.
Email Sent

Share this page:

Cookie Policy    X