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The MSc Operational Research with Data Science at the University of Edinburgh is a high-quality, application-driven program that integrates advanced operational research (OR), optimization, and data science techniques.
The course equips students with rigorous technical and analytical skills to address complex real-world problems across sectors like aviation, logistics, finance, energy, and public services.
The program provides strong industry engagement through dissertation projects with leading companies and government organizations.
Course Overview:
Fundamentals of Optimization
Fundamentals of Operational Research
Methodology, Modelling and Consulting Skills
Dissertation
Optional:
Simulation
Applied Machine Learning
Machine Learning and Pattern Recognition
Introduction to Practical Programming with Objects
Python Programming
Machine Learning in Python
Large Scale Optimization for Data Science
Credit Scoring
Teaching: Delivered through lectures, tutorials, hands-on labs, consultancy-style projects, and a dissertation.
Assessment: Assessed via coursework, practical assignments, written reports, and a final dissertation project.
Dissertation project with opportunities for industry collaboration with organizations like NatWest, KrakenFlex (Octopus Energy), and the Department for Work and Pensions.
Real-world case studies and consultancy-style modelling projects.
Courses in applied machine learning, simulation, and large-scale optimization directly linked to current industry practices.
Exposure to live operational challenges in energy, logistics, and finance through optional modules.
Industry-led guest lectures and collaboration opportunities with the Government OR Service and private sector companies.
Graduates work in major companies such as British Airways, Edinburgh Airport, RBS, EY, and specialized OR, finance, and energy firms.
Strong preparation for roles requiring advanced operational research, optimization, and data science skills.
Pathway to PhD study or research-based roles in operational research, data science, or optimization.
IELTS Academic: total 7.0 with at least 6.0 in each component.TOEFL-iBT (including Home Edition): total 100 with at least 20 in each component.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. You must also have studied probability and statistical theory at university level. You can increase your chances of a successful application by exceeding the minimum programme requirements.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Part time studies available; 2 yearsOperational Research AnalystData ScientistQuantitative AnalystOptimization SpecialistSimulation ConsultantRisk AnalystFinancial ModellerEnergy Sector AnalystBusiness Intelligence AnalystData Consultant
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University of Edinburgh
