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 : rosie.wilkie@ed.ac.uk

• 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