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.
This programme is administered by Mathematical Sciences
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.
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).
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
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.
36 points, 18 at higher level, including 6 in higher level mathematics
Our normal requirements are for D3D3M1 in the three principle subjects including D3 in Mathematics.
In addition we welcome applications from candidates offering other suitable qualifications with an appropriate mathematical content.
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.
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.
Learn a language
If your programme allows you to choose free elective modules, you can also take a credit bearing language module. These are split into seven stages, from absolute beginner to near-native speaker level. Please email your Student Office if you have any queries regarding your module options.
Innovation modules outside of your discipline
Our Curriculum Innovation Programme offers our students the chance to take optional modules outside their core disciplines. This allows you to personalise your education, to develop new skills and knowledge for your future.
ECON1001 Foundations of Microeconomics
ECON1003 Principles of Microeconomics
Students entering with A -Level Economics take ECON1003; others take ECON 1001
Students take optional modules for 30 credits (usually two modules). They may include modules from Economics or Mathematics. They may also be chosen from other departments, such as Languages, Management, Archaeology, Biology, Demography, Film, Geography, Philosophy, Psychology, or Music. Students may also choose from Curriculum Innovation Modules such as ‘Economics with Experiments’ for instance. Examples of Economics and Management options include:
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 Organisations and Management
MANG3010 Knowledge Management
MANG3034 Project Management
MANG3046 Managing Innovation
ECON3009 Microeconomic Theory 3
ECON3010 Topics in Macroeconomics 3
MATH3012 Statistics Methods II
MATH3013 Simulation and Queues
MATH3014 Design and Analysis of Experiments
MATH3044 Statistical Inference
MATH3072 Biological Fluid Dynamics
Students may also choose from a list of options outside of Mathematics and Economics, as in Year 2. Students take 90 credits of optional modules, i.e. 6 modules.
- Light and Waves
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).
Learning and assessment
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.
Employability is embedded into modules from the first year onwards and right from the first lecture. We explain the degree skills which are taught throughout the modules and offer a number of optional employability modules.
We place great importance on the development of graduate skills vital for future employment by adding transferable skills into learning and teaching.
Our degrees are a passport to vocational and non-vocational careers alike, with recent graduates employed in roles ranging from actuaries and statisticians to crime analysts and medical researchers.