Energy, Trade and Finance MSc

• Accounting and Finance

  • 15 credits
  • 30 hours, over ten weeks, in lectures
  • 70 hours, over ten weeks, self directed study

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• Energy Economics

  • 15 credits
  • 30 hours, over ten weeks, in lectures
  • 70 hours, over ten weeks, self-directed study

  This module provides the fundamental knowledge of energy market economics, upon which the rest of the degree is built. It is one of the four cornerstone modules which define the MSc in Energy, Trade and Finance programme.

• Oil and Energy Transportation and Logistics

  • 15 credits
  • 30 hours, over ten weeks, in lectures
  • 70 hours, over ten weeks, self directed-study

  The aim of the module is to equip you with tools necessary to think skilfully and maturely, but also independently, on matters relating to the transportation aspects of the energy industry.

  Industry trade journals and shipbroker reports contain vast information,

• Data Analytics for Shipping, Energy, Trade & Finance

  • 15 credits
  • 36 hours, over ten weeks, in lectures
  • 64 hours, over ten weeks, self directed study

  This module introduces the concept of data analytics in the shipping, energy, trade, and finance sectors. In particular, it teaches you how to work efficiently with commodity, shipping, and financial data so as to make data-driven business decisions.
  It consists of two interrelated parts: Part 1 is Statistics and Part 2 is Data Analytics Using R.

• Financial Modelling and Business Analytics

  • 15 credits
  • 42 hours, over ten weeks, in lectures and labs
  • 120 hours, over ten weeks, self0directed study

  This module aims to get you to combine economic/financial theory with more advanced quantitative techniques. The module covers different applications of probability and statistical techniques to analyse and solve various problems in business, economics, finance and transport. Different models and techniques used in research an empirical problem solving are introduced and discussed to assist the business decision making process. These methods include modelling building and forecasting, simulation techniques, optimisation, risk analysis and VaR estimation, amongst others.

• Oil and Energy Trading

  • 15 credits
  • 45 hours, over ten weeks, in lectures
  • 120 hours, over ten weeks, self-directed study

  The purpose of the module is to provide an in-depth study of the energy industry structure and strategies, study the fundamentals of oil and energy trading economics and relate those to current market trends. You will be introduced to the key issues involved in physical and financial energy trading as well as advanced issues related with the production, trading and risk management of oil and other energy commodities including natural gas, LNG, LPG and coal.

• Corporate Finance

  • 15 credits
  • 30 hours, over ten weeks, in lectures
  • 120 hours, over ten weeks, self-directed study

  The aim of the course is to develop an understanding of modern corporate finance so that the corporate manager, the investment banker and the financial analyst will have the conceptual foundations for making informed corporate assessments of key financial decisions.

• Power and Renewable Markets.

  • 15 credits
  • 30 hours, over ten weeks, in lectures
  • 120 hours, over ten weeks, self directed study

  The module focuses on the value chain of electricity, from its sourcing and generation to its supply, including the economics, pricing, policies and other pertinent issues. The module aims to place environmental and energy policies in context of the power sector, since governmental targets and the integration of renewable energy sources bring new challenges to these relatively new markets.

Professor Michael Tamvakis talks about the Power and Renewable Markets module in this short video.

Option 1– elective study only by taking SMM198 Research Methods and Professional Skills and five electives, 5 x 18 hours specialist electives of 10 credits each.

Option 2 – study through a combination of a taught course and a business research project

• SMM198 Research Methods and Professional Skills plus 2 x 18 hours specialist electives of 10 credits; and
• One General Research Project of 30 credits and a maximum of 5,000 words.

Electives offered in 2024

Please note that electives are subject to change and availability.

• Hedge Funds
• Mergers & Acquisitions
• Ethics, Society and the Finance Sector
• Big Data in Commercial Shipping & Trading
• Business Analytics for Energy, Shipping, Trade and Finance
• Shipping Risk Management
• Trade Finance

• Commodity Derivatives & Trading

  • 10 credits
  • Elective for any of the term three options

  The aims of this module are to expand the knowledge already acquired in the area of commodities and commodity derivatives and   provide you with the analytical and technical skills required in financing and hedging commodities

• Energy Project Investment & Finance

  • 10 credits
  • Elective for any of the term three options

  This elective module provides the opportunity for students to focus on issues of particular importance to the specialist field of valuation of energy projects, investment analysis, and financing oil and gas, refining, power generation, transportation and other segment of the energy industry.

• Fintech in Shipping and Energy Trade & Finance*

  • 10 credits
  • Elective for any of the term three options

  This module covers the impact of Fintech and its ecosystem at a high-level, with focus in the areas of Shipping, Trade and Finance. The aim is to stimulate and inspire you towards innovation and entrepreneurship.

• Introduction to Python.

  • 10 credits
  • Elective for any of the term three options

  This module is designed to provide a fundamental understanding of Computer Programming with Python and its applications in Finance, utilizing coding and scripting using  Python’s Shell and Integrated development Environment  (IDLE).

*The Captain Tasos Politis Prize

Every year, since 2021, the Best Fintech Innovation project is awarded the Captain Tasos Politis Prize, which comes with a £1,000 cash award to the winning group of the FinTech in Shipping and Energy Trade & Finance elective. A shipowner, innovator, serial entrepreneur and Pireaeus patriarch, Captain Tasos Politis was a close friend to Bayes Business School, mentor and sponsor to a number of ambitious students in the UK, Europe and Greece.

International electives

• Project Finance and Infrastructure Investment (taught in Madrid, Spain)
• Shipping Company Management (taught in Greece).

Projects

• Research Methods and Professional Skills

  • 10 credits
  • 45 contact hours
  • 55 independent learning hours

  This module aims to provide a grounding in financial research, particularly financial modelling and information gathering which you will be able to use to support your learning on the rest of your course.

  The module will utilise specific training in a financial modelling package in order to provide a strong foundation for the in-depth and specialist teaching and learning of terms two and three of your course.

  You will also learn how to gather information through database research, which you will be able to use to support your learning, substantiate your arguments and make assessments about the nature of the evidence you are using.

  Finally, you will bring these skills together by working in small groups for the preparation and presentation of a business plan proposal.

Some of our students are given the opportunity to conduct their research projects (GRP) in association with the UK Department for Transport (DfT) or as part of the Masters Programme of Maritime UK or the Research Support Programme of the Bank of England. Upon completion, their findings are presented to senior policy makers and businessmen.