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Financial Forecasting and Investment

This programme provides you with training in the key areas of financial analysis, forecasting and financial investment. It will provide you with an enhanced understanding of the underlying forces which drive financial markets and the relevant analytical tools you need to forecast time series and implement advanced trading strategies.

**Academic contact: business-economics@glasgow.ac.uk
Admissions enquiries: www.gla.ac.uk/enquirenow
September start
MSc: 12 months full-time**

**WHY THIS PROGRAMME**

Financial Forecasting & Investment will provide you with a detailed understanding of:
- the theory of optimal portfolios

- how to exploit available information to forecast future behaviour of stocks, interest and exchange rates

- theoretical models of time series and their empirical counterparts using data from real-world equity and derivatives markets

- how to determine fair values of financial products

- the mechanics of the price discovery process in stock exchanges.

You will gain skills necessary to conduct advanced empirical analysis on equities and derivatives markets, which will enable you to manage portfolios to optimise clients' objectives.

The Adam Smith Business School has a range of financial databases and computer labs. You will have access to a Bloomberg trading room to gain a practical experience of forecasting financial time series for the implementation of profitable trading strategies.

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

**PROGRAMME STRUCTURE**

You will take three core and three optional courses and complete a substantial independent piece of work, normally in the form of a dissertation. Teaching is provided through lectures. Technical subjects are supported by weekly or fortnightly tutorials, which provide opportunities for you to engage with issues and questions in a group format. Some courses also involve lab sessions using specialised software.

**Core courses**
- Financial markets, securities and derivatives

- Modelling and forecasting financial markets

- Portfolio analysis and investment.

**Optional courses may include**
- Advanced portfolio analysis

- Applied computational finance

- Behavioural economics: theory and applications

- C++ in finance (Mathematical finance is a co-requisite for this course)

- Corporate finance and investment

- Economic fundamentals and financial markets

- Empirical asset pricing

- Financial derivatives (Mathematical finance is a co-requisite for this course)

- Financial market micro structure

- Foreign direct investment and development

- Game theory with applications in economics and finance

- Hedge fund risk management

- International finance and money

- Investment, finance and asset prices

- Mathematical finance.

**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**
Career paths are typically in financial institutions including central banks, investment banks as well as the International Monetary Fund and the World Bank, asset management firms and governmental bodies. Graduates have taken up roles such as equity traders, finance managers and business intelligence analysts. 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 economics, finance, engineering, physics, or another highly mathematical discipline.

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 four core and two optional courses and complete a substantial independent piece of work, normally in the form of a dissertation.

Teaching is provided by lectures. Technical subjects are supported by weekly or fortnightly tutorials, which provide opportunities for you to engage with issues and questions in a group format. Some courses also involve lab sessions using specialised software.

Core courses

Basic econometrics
Financial markets, securities and derivatives
Modelling and forecasting financial markets
Portfolio analysis and investment.
Optional courses may include

Advanced portfolio analysis
Applied computational finance
Behavioural economics: theory and applications
C++ in finance (Mathematical finance is a co-requisite for this course)
Corporate finance and investment
Economic fundamentals and financial markets
Empirical asset pricing
Financial derivatives (Mathematical finance is a co-requisite for this course)
Financial market micro structure
Foreign direct investment and development
Game theory with applications in economics and finance
Hedge fund risk management
International finance and money
Investment, finance and asset prices
Mathematical finance.
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 (Year 1) Wales 12 Months
MSc Full-time September 2019 10,650 (Year 1) Northern Ireland 12 Months
MSc Full-time September 2019 10,650 (Year 1) Scotland 12 Months
MSc Full-time September 2019 24,000 (Year 1) International 12 Months
MSc Full-time September 2019 10,650 (Year 1) EU 12 Months
MSc Full-time September 2019 10,650 (Year 1) England 12 Months

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