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
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):
Simulation 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:
Finance Industry Optimization Statistics Data Science
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
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.
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.
Recipient: University of Edinburgh
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