Mathematical Sciences
postgraduate degrees (MSc)
Dr Thomas Prellberg
Director of Taught Programmes
School of Mathematical Sciences
Master of Science (MSc)
Degrees
• MSc in Mathematics (with option in Statistics)
• MSc in Mathematical Finance (since 2012)
• MSc in Mathematics of Networks (from 2014)
MSc duration: 12 months
Sept
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
e
July
Aug
Semester A:
12 weeks
Semester B:
12 weeks
Exams:
6
weeks
Dissertation:
12 weeks
MSc Mathematics
• Prepares for research in
mathematics or statistics
• Flexible degree allowing
variety or specialisation
•Designed for graduates with
good maths BSc degree
• £2,500 Bursaries available
for outstanding candidates
MSc Mathematics
Compulsory module:
•Research Methods
Choose 7 further modules across
pure/applied/statistics
Pure mathematics modules:
•Advanced Combinatorics
•Extremal Combinatorics
•Further Topics in Algebra
•Group Theory
•Measure Theory and Probability
•Topology
MSc Mathematics
Statistics modules:
•Applied Statistics
•Bayesian Statistics
•Computational Statistics
•Topics in Probability and
Stochastic Processes
Applied mathematics modules:
•Complex Systems
•Dynamical Systems
•Graphs and Networks
•Processes on Networks
•Topics in Scientific Computing
MSc Mathematical Finance
• Joint programme with
School of Economics and
Finance
• Prepares for employment in
banking and finance
• Designed for graduates with
good maths background
• £10,000 Bursaries available
for outstanding candidates
MSc Mathematical Finance
Pre-sessional module:
•Probability and Statistics
Core modules:
•Computational Methods in Finance
•Foundations of Mathematical
Modelling in Finance
•Investments
•Advanced Asset Pricing Modelling
•Stochastic Calculus and Black
Scholes Theory
MSc Mathematical Finance
Elective modules include:
•Econometrics A
•Investment Management
•Time Series Analysis
•Topics in Probability and
Stochastic Processes
•Advanced Computing in Finance
•Advanced Portfolio Theory and
Risk Management
•Bayesian Statistics
•Financial Derivatives
•Financial Econometrics
•Risk Management for Banking
MSc Mathematics of Networks
• Joint programme with
Networks Group (EECS)
• Prepares for a host of career
opportunities in network and
modelling related industries
•Designed for graduates with
good maths background
• £2,500 Bursaries available
for outstanding candidates
MSc Mathematics of Networks
Presessional module:
•Basics of Programming
Compulsory modules:
•Research Methods
•Graphs and Networks
•Topics in Probability and Stochastic
Processes
•Machine Learning
•Processes on Networks
•Digital Media and Social
•High Performance Computing
Elective modules include:
•Topics in Scientific Computing
•Computational Statistics
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MSc - School of Mathematical Sciences