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University of Glasgow

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Financial Modelling

This programme will help you develop an excellent understanding of statistics, along with advanced practical knowledge of financial markets. It will provide you with an enquiry-led understanding of interconnected subject areas in statistics and finance. It is ideally suited for graduates in mathematics, statistics, engineering, or a related discipline who wish to use their skills to pursue a career in finance.

**Contact: business-accounting-finance@glasgow.ac.uk
September start
MSc: 12 months full-time**

**WHY THIS PROGRAMME**

There is an increased demand for professionals who can apply mathematical and statistical skills in the financial environment. This Masters in Financial Modelling is intended to develop your skills in statistics and enable you to successfully apply them to complicated financial modelling.

It is a research driven programme where you will develop a critical awareness of financial theories, models and how capital markets work, together with an understanding of the evolving and challenging areas of market behaviour, risk management and international banking.

This programme combines the teaching strengths of the Statistics Group in the School of Mathematics & Statistics with the Adam Smith Business School's accounting & finance department to develop and enhances your analytical, computation, evaluative and communication skills.

You will develop an excellent understanding of probability, statistical inference, time series and R programming along with practical skills of financial statistics.

You will be taught by academics who have internationally recognised research, as well as having access to Bloomberg terminals, prestigious financial databases and MATLAB.

**Adam Smith Business School is triple accredited**
**www.gla.ac.uk/schools/business/aboutus/accreditationsandrankings/**

**PROGRAMME STRUCTURE**

You will take eight core courses and one optional course, and complete a substantial independent piece of work, normally in the form of a dissertation, on a finance-related theme. Teaching is through a combination of methods including lectures, seminars, tutorials and practical programming and data analysis classes. You will also have the opportunity to attend practitioner seminars so you can learn from leading experts.

**Core courses**
- Financial statistics

- International capital markets

- Introduction to R programming

- Probability

- Regression models

- Risk management and derivative securities

- Statistical inference

- Time series.

**Optional courses may include**
- Behavioural finance

- International banking and financial markets.

**Programme alteration or discontinuation**
The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.
www.gla.ac.uk/myglasgow/senateoffice/studentcontract/

**CAREER PROSPECTS**
Financial Modelling prepares you for a rewarding career in the financial sector for example as a quantitative financial analyst, equity analyst or risk analyst. Recent graduates have gone on to work for KPMG, Deloitte and Citic Securities. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.

Entry requirements

MSc: 2.1 Honours degree or non-UK equivalent in mathematics, statistics, engineering, physics, or other subjects with a substantial mathematics component.

International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses.

English language requirements
For applicants whose first language is not English, the University sets a minimum English Language proficiency level.

International English Language Testing System (IELTS) Academic module (not General Training):

overall score 6.5
two sub-tests no less than 6.5, no sub-test less than 6.0
or equivalent scores in another recognised qualification:
Common equivalent English language qualifications

All stated English tests are acceptable for admission for both home/EU and international students for this programme:

ibTOEFL: 90; no sub-test less than:
Reading: 20
Listening: 19
Speaking: 19
Writing: 23
CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59
Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests
For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme.

Pre-sessional courses

The University of Glasgow accepts evidence of the required language level from the English for Academic Study Unit Pre-sessional courses. We also consider other BALEAP accredited pre-sessional courses:

School of Modern Languages and Cultures: English for Academic Study
BALEAP guide to accredited courses

Course modules

You will take eight core courses and one optional course, and complete a substantial independent piece of work, normally in the form of a dissertation, on a finance-related theme. Teaching is through a combination of methods including lectures, seminars, tutorials and practical programming and data analysis classes. You will also have the opportunity to attend practitioner seminars so you can learn from leading experts.

Core courses

Financial statistics
International capital markets
Introduction to R programming
Probability
Regression models
Risk management and derivative securities
Statistical inference
Time series.
Optional courses may include

Behavioural finance
International banking and financial markets.
Programme alteration or discontinuation
The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Legal statements: Disclaimer.

Assessment methods

Dissertation

Sponsorship information

Qualifications

Qualification Study mode Start month Fee Fee locale Course duration
MSc Full-time September 2019 10,650 (Whole course) EU 12 Months
MSc Full-time September 2019 20,150 (Whole course) International 12 Months
MSc Full-time September 2019 10,650 (Whole course) England 12 Months
MSc Full-time September 2019 10,650 (Whole course) Scotland 12 Months
MSc Full-time September 2019 10,650 (Whole course) Wales 12 Months
MSc Full-time September 2019 10,650 (Whole course) Northern Ireland 12 Months

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