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Masters/MscMathematics, Operational Research, Statistics and Econometrics

University of Birmingham
United Kingdom, Birmingham
Tuition fee To be confirmed
More information

Expenses, accommodation, working etc.

birmingham.ac.uk/../mathematics-morse.aspx 

Overview

This programme is both technical and pragmatic. You will acquire the ability to integrate state-of-the-art knowledge of statistics and optimisation to address, analyse and provide a rational appraisal of a given problem in different professional contexts. This is a multidisciplinary field that involves the study of mathematical optimisation techniques, operational research methods, programming and statistics with their applications to economics, finance, medicine, industrial management, natural sciences and others. The programme produces highly qualified students in statistics, operations research and econometrics with applications to economics and business management. The programme provides ideal preparation for a career in economics, health care, finance, banking, insurance, actuarial science, business management, governmental or academic institutions.

To be accepted onto this programme a high standard in a mathematically-based undergraduate degree must have been achieved, equivalent to a UK upper second or first class degree

Programme structure

In the recent years, mathematical optimization and statistics have experienced significant new developments. With these developments, the system engineering, information science, signal and image processing, statistical error correction and cryptography are being revolutionised.

This has created urgent need, in both academic research and in practical implementation, for a new generation of mathematicians trained to work at the frontiers of mathematical optimization, statistics and their applications to engineering, healthcare, finance and economics.

Researchers at the University of Birmingham have recently shown how the modern optimization and statistical methods are successfully applied to engineering design, financial and economical data analysis, meta-analysis, economic equilibrium, network communication, and combinatorial optimization.

Compulsory modules:

Linear Programming
Integer Programming
Applied Statistics
Introduction to Quantitative Finance
Exotic Options, Bonds and Further Quantitative Finance
Statistical Methods in Economics
Research Skills
MSc dissertation

Optional modules:

Statistical Inference
Medical Statistics
Combinatorial Optimization
Nonlinear Programming
Muticriteria Decision Making
Advanced Quantitative Finance: Crashes, Volatility, Multiple Assets and Hedging
Conic Optimization
Game Theory

Career opportunities

Examples of employers

Aon Hewitt
Barnett Waddingham
Capita
Deloitte
Deutsche Bank
Ernst & Young
Mercer
PricewaterhouseCoopers
Softcat
Tudor Grange Academy School

Examples of occupations

Actuarial Trainee
Actuarial Consultant
Actuary
Analyst
Associate Auditor
Consultant
Financial Analyst
Management Accountant
Secondary School Teacher
Software Tester

Further study-examples of courses

ACA – Accountancy
ACCA – Accountancy
MSc Accounting and Finance
MSc Actuarial Science
MSc Computing Systems
MSc Finance and Investment
MSc Operational Research
MSc Statistics
PGCE Mathematics
PhD Applied Mathematics

Apply now! Fall semester 2020/21
This intake is not applicable

We are currently NOT ACCEPTING applications from NON-EU countries, except Georgia and Serbia.

Studies commence
Sep 20, 2020

Application deadlines apply to citizens of: United States