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Masters Degrees (Commodity Trader)

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This unique Finance MSc online learning degree allows you to develop the skills and insight to meet the growing demands of this ever-changing sector. Read more
This unique Finance MSc online learning degree allows you to develop the skills and insight to meet the growing demands of this ever-changing sector. This online degree gives you the flexibility to achieve a recognised financial award in specialist areas like, Investment Banking, International Finance and Islamic Banking and Finance.

Developed to meet the growing demand for professionals within the finance sector, this unique MSc Finance online degree gives you the flexibility to achieve a recognised financial award in specialist areas such as Islamic Banking and Finance, International Finance or Investment Banking.

Improve your career prospects by acquiring the financial theory and practical skills required to work within emerging finance sectors. This course is ideally suited to financial roles in areas such as corporate finance, investment banking, commodities trading or Islamic banking. By acquiring this postgraduate qualification you'll be in a stronger position when applying for senior roles as a banker, finance analyst, commodity trader or financial advisor within the corporate sector and specialised financial institutions.

What does this course cover?

You can tailor this course to your personal and professional interests. You'll study core subject areas of Corporate Finance, Ethics and Corporate Governance with a choice of five optional modules in Islamic Banking and Finance, International Finance, Investment Banking, Fixed Income Security and Commodities Trading. Finally you'll complete an Independent Scholarship Project to achieve your Masters degree.

You can start this course in September, January or May.

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The MSc Computational Trading programme allows students to bridge the gap between financial theory and work experience. Our partnership with City-based Amplify Trading will enable you to gain hands-on experience of stock market analysis on a live trading platform. Read more
The MSc Computational Trading programme allows students to bridge the gap between financial theory and work experience.

Our partnership with City-based Amplify Trading will enable you to gain hands-on experience of stock market analysis on a live trading platform. Amplify provides financial software used within the development programmes of leading investment banks including Bank of America, HSBC, Citigroup, Credit Suisse and Deutsche Bank. By the end of the programme you will be capable of trading effectively in equity, bond, commodity and foreign exchange markets and you will be ready to take up a role within leading institutions in the financial and commodity trading sector.

We focus on real time approaches to trading, including features of specific financial tools and the interaction of macroeconomic, financial, technical and behavioural drivers in financial markets. Our highly interactive teaching techniques include the use of Eviews Econometrics software, R programming language and specialised trading platform. You will engage with theoretical, applied and practical (hands on) learning.

We benefit from our close proximity to one of the world's largest financial centres, Canary Wharf, which lies just across the river. We work closely with the financial and professional services companies that are based there. Industry guest lecturers have included BBC, Bank of England, Barclays, Deutsche Bank, PricewaterhouseCoopers and many more.

Along with lectures and seminars students will be involved in additional activity, including; laboratory trading practical classes, supervised lab practical work; project supervision; demonstrations, workshops, and many more. The programme is run over a series of 9 weeks in total, each week is 35 hours long within the following months: January, February, March, April, September and an additional week in the months of May and June.

Find out more by directly contacting our teaching experts:

The aims of the programme are:

• To equip students with a rigorous understanding of financial and commodity markets
• To provide students with insightful knowledge and experience of practices of trading
• To give students foundational knowledge of associated computational methods.
• To ensure you are capable of trading effectively in equity, bond, commodity and foreign exchange markets and ready to take up trading floor positions in leading institutions of the financial and commodity trading industry.

Visit the website http://www2.gre.ac.uk/study/courses/pg/acc/comptrad?utm_source=findamasters&utm_medium=search&utm_term=ComputationalTrading&utm_campaign=BusinessSchoolMScComputationalTrading

Economics

Internationalisation of the world economy and the policy challenges this has posed for business and public decision makers have increased the demand for economics graduates. Our teaching responds to this demand by combing solid training in theory and method with stimulating exposure to economics and financial data sources.

What you'll study

- Foundations of Scholarship, Data Analysis & Application (15 credits)
- Trading Practicum 1 (15 credits)
- Trading Technical Analysis and Strategies (15 credits)
- Applied Modelling and Data Analysis (15 credits)
- International Macrofinance and Trading (15 credits)
- Financial Management (30 credits)
- Regulation, Compliance & Ethics in Financial Markets (15 credits)
- Business Intelligence and Data Mining (15 credits)
- Trading Practicum 2 (15 credits)
- Research Project (30 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Assessments will include a variety of formative and summative assessments with interactive feed-forward and feedback opportunities to encourage students to engage effectively in active/participatory learning. Formative assessments include: problem-sets; simulations; case studies. Summative assessments include: portfolio; group presentations; simulations; trading activities and tasks; examinations.

Specialist equipment/ facilities

Eviews Econometrics software, R-programming language and specialised trading platform.

Career options

A wide variety of roles within asset management, trading, sales trading, research and financial analysis. You will graduate able to develop your own trading strategies and make decisions across all trading platforms, enabling you to work as an independent trader or as a trader in investment banks, private equity, leverage buyout, venture capital firms, secondary funds, hedge funds or dealing in competitive spreads.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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A degree highly respected by quantitative analysts and their employers. About the course. -A highly technical programme for those with strong mathematical skills. Read more
A degree highly respected by quantitative analysts and their employers.

About the course:
-A highly technical programme for those with strong mathematical skills
-Gain knowledge of derivatives pricing tools and methods, as well as the use of programming languages like C++ and VBA
-Designed with the support of industry practitioners to equip students with the skills and knowledge needed to succeed
-Graduates are able to make an early contribution through the unique combination of hands-on, practical skills and the necessary underlying finance theory
-Benefit from the combined expertise of both the ICMA Centre and the Department of Mathematics

COURSE OVERVIEW

The ICMA Centre’s financial engineering degree is highly respected by quantitative analysts and their employers. The credit crunch and subsequent events have emphasised the need to develop better pricing and better hedging models for all complex products. The practical and quantitative skills that you will develop on the programme will equip you to meet this challenge.

Our compulsory modules provide a firm grounding in probability theory, stochastic calculus, derivatives pricing, quantitative and numerical methods, structuring products, volatility analysis, and the modelling of credit, equity, foreign exchange and interest rate derivatives. We also provide a thorough training in C++ and other programming tools.

Optional modules will allow you to focus on risk analysis, portfolio management, designing trading strategies or econometric analysis. This newly structured degree aims to further enhance the strong reputation of its precursor – the MSc in Financial Engineering and Quantitative Analysis, which was established back in 1999. A good background in mathematics is required for acceptance to this programme.

EMPLOYABILITY

Many of our financial engineering graduates are now working as Quants in large London banks and other financial institutions. Others have pursued PhDs and have successful academic careers. Financial instruments are becoming ever more sophisticated, so graduates that understand complex modelling techniques are always in great demand. The high quantitative content of this programme opens many doors to a wide range of careers. You could structure and develop new debt or equity solutions to meet clients funding and hedging needs, or you could become a proprietary trader in exotic derivatives, or a software specialist or a quantitative analyst supporting the traders.

There are excellent opportunities on the buy-side, with hedge funds and investment institutions, as well as in investment banking and in software analytics. Opportunities in quantitative research, or with a rating agency, are among the many other attractive alternatives. Outside of mainstream banking and investment, you might also consider firms involved in commodity and energy trading, or the treasury divisions of leading multinationals and management consultancies.

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