GL12 BSc MORSE (Mathematics, Operational Research, Statistics and Economics) (3 yrs)
This programme, which is new in 2012, replaces our old programmes of Mathematics with Operational Research, Mathematics with Management and Mathematics with Economics.
The purpose of this programme is to provide you with a broad-based programme covering topics in mathematics, operational research, statistics and economics. These different topics are related in that they all rely on using mathematical methods to formulate, model, analyze and solve a wide range of problems.
OPERATIONAL RESEARCH: The efficient and effective management of many organisations relies on solution of problems with a significant mathematical content. This programme introduces you to the most important of the mathematical methods used in formulating and solving such problems. As well as being mathematically interesting, it thus equips you with skills and an expertise that is in very high demand in a truly wide range of businesses and organisations, spanning public and private corporations both large and small.
STATISTICS: A training in statistics offers a unique range of challenges and provides opportunities to work on a large variety of important problems in industry, environmental science, medical research, social science and within the government. Statisticians analyse uncertain data where the source of uncertainty may be due to measurement error, experimental error, sampling error or modelling error. The common language of all uncertain conditions is probability.
ECONOMICS: Mathematics is being applied increasingly in the social sciences, in particular in economics. Mathematical tools are used to formulate models of the complex interactions in an economic system. For example, what would be the effect on U.K. inflation of joining the European single currency? How should firms evaluate risky research and development projects? Why might an increase in union bargaining power in a country increase its share of world markets? Mathematical models are also used to help address ethical issues: should a developing country try to protect its domestic industries from foreign competition? Ought the government to provide state pensions, and if so what form should they take? Economists also use statistical techniques to test how well models like those above explain, and ultimately predict, what happens in an economy. Special statistical techniques called econometrics are required to take account of the fact that data available to economists are not derived from carefully controlled laboratory experiments, but come from the real world.
While studying for your degree, you will develop key study and work skills including written and oral communication, the use of IT, team working, time management and basic research skills including the use of the web and the library.
The programme is centred on a coherent framework of study but incorporates flexibility so that there is ample opportunity to choose topics of special interest to you.
Programme Structure
The programme is delivered on a semester pattern, each semester being of 14 weeks duration. The last two weeks of each semester are set aside for examinations. The programme requires three years of full-time study, and may lead to a BSc Honours degree in MORSE: Mathematics, Operational Research, Statistics and Economics. Students take eight 7.5 ECTS (15 CATS points) modules each year, four each semester. The degree programme comprises core and compulsory Mathematics (including Operational Research and Statistics) and Economics modules, which occupy the whole of the first year, and parts of the second and third years, together with options chosen by you.
In addition there are the following exit points:
- Certificate of Higher Education (CertHE), following successful completion of Part I.
- Diploma of Higher Education (DipHE), following successful completion of Part II.
- Ordinary Degree of MORSE (BSc (Ordinary)), following the successful completion of at least 150 ECTS (300 CATS points), including 30 ECTS (60 CATS points) in Level 3 modules.
Each of Part I, Part II, and Part III carries 60 ECTS (120 CATS points).
Career opportunities
Mathematician
Financial analyst
Actuary
Statistician
Underwriter
Management consultant
Banker
Broker
Accountant
Crime analyst
Medical researcher
Key facts
Ranked third in UK for quality of research outputs in applied mathematics. Ranked second in the UK for research power in statistics and operational research (RAE, 2008)
One of the largest mathematics departments in the UK
Wide range of degrees, with flexibility to transfer between programmes
Generous scholarship scheme for UK/EU and international students
Large international cohort
Typical entry requirements
A Levels:
In terms of A-level grades our standard offer is AAA (or AAB with Further Mathematics) or equivalent, including grade A in A-level Mathematics. In addition we welcome applications from candidates offering non-A-level qualifications with an appropriate mathematical content.
IB:
36 points, 18 at higher level, including 6 in higher level mathematics
Selection process:
Intake: 180
Average applicants per place: 10
Applicants are selected on the quality of their application. Applicants with a strong academic background and a clear commitment to Mathematics will be considered for an offer based on the quality of their UCAS application.
Visit our International Office website or the NARIC website for further information on qualifications.
Typical course content
Mathematicians develop important analytical skills and problem-solving strategies to assess a broad range of issues in commerce, science and the arts.
Mathematical models and simulations, and the interpretation of their results, are being called on increasingly in global decisions, as business, politics and management all become more quantitative in their methods. The application of mathematics is also in demand in the social sciences, particularly economics, where mathematical tools are used to formulate models of the complex interactions in an economic system – in situations as significant as the effect on UK inflation of joining the European single currency.
Year 1
Semester One
In addition to the compulsory modules listed below, students are required to take either
ECON1001 Foundations of Microeconomics
or
ECON1003 Principles of Microeconomics
Students entering with A -Level Economics take ECON1003; others take ECON 10001
Compulsory:
- MATH1050
- Calculus I
- MATH1048
- Linear Algebra I
- MATH1052
- Differential Equations
Semester Two
Compulsory:
- MATH1051
- Calculus II
- MATH1049
- Linear Algebra II
- MATH1024
- Introduction to Probability and Statistics
- ECON1002
- Principles of Macroeconomics
Year 2
As well as the compulsory module listed below, students are required to take TWO other module. Modules often taken as part of this degree include
ECON2003 Microeconomics Theory II
ECON2004 Topics in Macroeconomics II
MANG1003 Introduction to Management
MANG2007 Problem Solving
MANG2021 Operations Management
Semester One
Compulsory:
- MATH2039
- Analysis
- MATH2013
- Introduction to Operational Research
- MATH2011
- Statistical Distribution Theory
Semester Two
Compulsory:
- MATH2038
- Partial Differential Equations
- MATH2010
- Statistical Methods I
- ECON2007
- Econometrics 2
Year 3
As well as the compulsory modules below, students are required to take SIX other modules at least THREE of which must be MATH3xxx modules. Modules often taken as part of this course include
MATH3063 Actuarial Science I
MATH3066 Actuarial Science II
MANG2001 Operations Management
MANG3010 Knowledge Management
MANG3034 Project Management
MANG3046 Managing Information
ECON3009 Microeconomic Theory 3
ECON3010 Topics in Macroeconomics 3
MATH3012 Statistics Methods II
MATH3013 Simulation and Queues
MATH3014 Design and Analysis of Experiments
MATH3016 Optimization
MATH3044 Statistical Inference
Semester One
Compulsory:
Semester Two
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if s/he takes full advantage of the learning opportunities that are provided. More detailed information can be found in the programme handbook (or other appropriate guide).
The Department uses a wide variety of modern learning and teaching methods involving small group tutorial work and computer based learning that builds on what you learn in lectures. Assessment is varied enabling you to demonstrate your strengths and show what you have learnt. Students are provided with a copy of the computer algebra package MAPLE that they can use on their own personal computers to assist their studies.
The University provides a wide range of modern services for learning and support, including a well-stocked modern library, a large number of computer workstations giving ready access to the internet, a Careers Service, a Job Shop and a Students Advice and Information Centre.
Find out more
| Programme | UCAS/JACS Code | Programme length |
|---|---|---|
| BSc Mathematics with Actuarial Science | G1N3 | 3 years |
| BSc Mathematics with Finance | G1NH | 3 years |