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As the last few years have shown, making good decisions in finance and banking is critical to the well being of the global economy. This course provides learning in modelling techniques of Management Science which aid decision making. It also gives an understanding of how modelling techniques as used by financial and banking organisations.
The programme will suit graduates with a numerate, but not necessarily highly mathematical background. Optional modules are shared with the MSc Operational Research and Finance offered by the School of Mathematics. Most dissertation projects involve either a placement or working closely with a financial or other external organisation.
There is a great demand from the public and private sectors, particularly in banking and finance for numerate graduates with the broad range of skills in quantitative and qualitative modelling which this course provides.
The dissertation is in the form of a three month project, where you will apply the skills that you have learned to a real-life business problem. A wide choice of projects is available. Most projects involve either a placement within, or else working closely with, a company or other external organisation.
Full-time study on our MSc programmes follows a schedule of half-day teaching blocks. A single module, for example, will be taught over six half-days, usually the same half-day each week e.g. six consecutive Monday mornings and half modules are taught over three half-days. Module teaching blocks will be scheduled on different half-days so that students will study several modules during the same period.
Teaching takes place during the autumn, spring and summer terms with a few modules scheduled for evenings and the Easter vacation. These will usually be the optional modules but this is not guaranteed. Formal examinations take place in January and May/June each year at the end of each semester. If you pass the module assessments to a satisfactory standard you are permitted to continue work until September leading to the submission of an MSc dissertation.
Typical course content
There are a range of compulsory and optional modules for this postgraduate degree.
Year 1
Semester One
Compulsory:
* MANG6022 Corporate Finance 1
* MANG6046 Mathematical Programming
* MANG6122 Simulation
* MANG6142 Introduction to Portfolio Management and Exchange Traded Derivatives
* MANG6239 Behavioural Finance
Optional:
* MATH6011 Forecasting (CRN 11954)
* MATH6017 Financial portfolio theory (CRN 11960)
* MATH6112 Computer analysis of data and models (CRN 14895)
* MANG6239 Behavioural Finance
Semester Two
Additional comulsory module: MANG6095 Dissertation
Compulsory:
* MANG6008 Quantitative Research in Finance
* MANG6054 Credit Scoring and Data Mining
* MATH6005 Visual basic for applications (CRN 11948)
Optional:
* MANG6020 Financial Risk Management
* MANG6023 Corporate Finance 2
* MANG6038 Knowledge Management and Businessn Intelligence
* MANG6100 Game Theory
* MANG6133 Managing Resources and Operations
* MANG6169 Credit Risk Modelling and the Basel Accord
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).
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.