Mathematics Careers Showcase
26 September 2017
Information for Industry Partners - MSc Projects
Jan 2021
www.ed.ac.ukapplyedinburgh
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Information for Industry Partners - MSc Projects
General project information• Overview
• Benefits for your organisation and our students
• Project timeline and activities
• Responsibilities of supervisors and expectation of time commitment
MSc Programme information and topics of interest• Statistics
• Operational Research
• Financial Mathematics and Modelling
• Applied Mathematics
Q&A and Next Steps
MSc Project Timeline
Information session for companies
Projects topics submitted
Students makepreferences
Information session for students
Students matched to projects and supervisors
Students meet company
Project underway Marking complete
Dissertation submitted
Jan Feb Mar Apr May Jun Jul Aug Sept
School of Mathematics MSc Programmes
We offer MSc programmes in four areas of study, each has there own
Programme Director and project co-ordinator. These are;
• Statistics,
• Operational Research,
• Financial Mathematics and Modelling and
• Applied Mathematics
Statistics MSc ProgrammeProgramme Director: Nicole Augustine
Project Co-ordinators: Mine Cetinkaya-Rundel and Daniel Paulin
Statistics and Operational Research MSc
• Statistics and Operational Research provide methods for structuring, modelling, solving and
analysing a wide range of practical problems.
Statistics with Data Science MSc*
• The Statistics with Data Science MSc programme is designed to train the next generation of
statisticians with a focus on the newly recognised field of data science. The syllabus
combines rigorous statistical theory with wider hands-on practical experience of applying
statistical models to data.
*This programme runs group projects rather than individual
Statistics and Operational Research– Core Courses
• Fundamentals of Operational Research
• Fundamentals of Optimization
• Methodology, Modelling and Consulting Skills
• Simulation
• Bayesian Theory
• Statistical Programming
• Generalised Regression Models
• Statistical Research Skills
Operational Research MSc ProgrammeProgramme Director: Joerg Kalcsics
Project Co-ordinators: Akshay Gupte
OR with Risk
• This MSc will give an Operational Research perspective on risk analysis and risk management. This
covers the assessment and management of risk from unlikely but costly or distressing events.
OR with Computational Optimization
• Operational Research with Computational Optimization will give students the opportunity to develop
skills in the mathematical theory of methods for optimization and their implementation using
techniques of formal programming and high performance computing.
OR with Data Science
• This MSc theme gives an opportunity to study novel data analysis techniques to handle ever larger
data sets via the fundamentals of optimization and operational research and a range of optional
courses in optimization, statistics, and data science.
Operational Research – Core courses
• Fundamentals of Optimization
• Fundamentals of OR
• Methodology, Modelling and Consulting Skills
• Simulation
• Stochastic Modelling
• At least 2 course from computing and statistics
Operational Research - Applications
Operational Research (OR) uses mathematical techniques to tackle real-life decision problems such as:
• Schedule planes/crews and decide seat prices
• Route internet calls and allocate mobile phone frequencies
• Derive a feasible production plan and optimize the storage and distribution of produce
• Manage a portfolio of shares and minimize its risk
• Optimize the development of an oil field
• Plan the operation of a hospital blood bank
Graduates in the MSc have gone on to;
• Work in a wide variety of companies such as RBS, Ernst & Young, McKinsey & Company, KPMG,
Mekle|Aquila, Deloitte, Amazon, Governmental OR Service, British Airways, Edinburgh Airport and
• Further their studies through a PhD: University of Edinburgh, University of Oxford, University of
Cambridge, ETH Zürich
Financial Mathematics and Modelling MSc ProgrammeProgramme Director: David Siska
Project Co-ordinators: TBC
Financial Modelling & Optimization MSc
• The MSc in Financial Modelling and Optimization (FMO) is a powerful blend of core
Financial Mathematics theory and Optimization techniques.
Computational Mathematical Finance MSc
• The MSc in Computational Mathematical Finance (CMF) delivers a high quality training in
the theory of Mathematical Finance with strong emphasis on computational methods.
Financial Mathematics and Modelling – Core Courses
• Discrete-Time Finance
• Stochastic Analysis in Finance
• Fundamentals of Optimization
• Research-Linked Topics
• Finance, Risk and Uncertainty
• Risk-Neutral Asset Pricing
• Numerical Probability and Monte Carlo
• Optimization Methods in Finance
• Object-Oriented Programming with Applications
• Stochastic Control and Dynamic Asset Allocation
Financial Mathematics and Modelling – Example project topics
Computational Applied Mathematics MScProgramme Director: Kostas Zygalakis
Project Co-ordinator: Tom MacKay
Computational Applied Mathematics MSc
• The Computational Applied Mathematics MSc programme is designed to train the next
generation of applied mathematicians with a focus on computational methods. The syllabus
combines rigorous mathematics with practical experience of developing and applying
computational methods for the study of interdisciplinary problems.
Computational Applied Mathematics – Core Courses
• Applied Dynamical Systems
• Numerical Linear Algebra
• Python Programming
• Numerical Partial Differential Equations with Applications
• Research Skills for Computational Applied Mathematics
Q&A
Next Steps
• Contact me for 1-1 meeting : [email protected]
• Visit our webpages for more information:
MSc projects with an External Partner | School of Mathematics (ed.ac.uk)
• Submit a project proposal by using the online form found above by the
8th March 2021