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School of Economics and Finance

Postgraduate Induction Programme

Induction will commence on Monday 15th September 2025

We are pleased that you have carefully selected to come and study with us and are delighted to welcome you as a new student at School of Economics and Finance (SEF), Queen Mary University of London. All joint-programme students are welcome to attend our welcome week programme as scheduled by your home school. Outlined below is important information about programmes and induction.

For practical help to navigate your way between different buildings, view our main campus map.

Welcome week and induction timetables

MSc Banking and Finance - Welcome Week schedule [PDF 129KB]

MSc Behavioural Finance - Welcome Week schedule [PDF 137KB]

MSc Corporate Finance - Welcome Week schedule [PDF 64KB]

MSc Economics - Welcome Week schedule [PDF 210KB]

MSc Finance - Welcome Week schedule [PDF 138KB]

MSc Finance and Machine Learning - Welcome Week schedule [PDF 129KB]

MSc Investment and Finance - Welcome Week schedule [PDF 139KB]

MSc Investment Banking - Welcome Week schedule [PDF 140KB]

MSc Wealth Management - Welcome Week schedule [PDF 128KB]

Appendix 1

Additional Welcome Week activities

Wellbeing Fair

Date: Tuesday 16 September

Time: 12:00-16:00

Location: The Nest (This is in the Students Union Hub Number 34 on the Mile End Campus Map)

QMUL Question Time

Join the School of Society and Environment and the Mile End Institute for Queen Mary's answer to the BBC's Question Time!

Date: Thursday 18 September

Time: 16:00-17:00, reception to follow

Location: Skeel Lecture Theatre, Peoples Palace

Tickets: Queen Mary's Question Time Tickets, Thu, Sep 18, 2025 at 4:00 PM | Eventbrite

Important dates

View all important dates.

Programme structure

Please refer to your individual programme page for information on the structure of modules you will undertake during the academic year.

Further details about individual module teaching structure shall be updated on the module page on QMplus. You can ask more about the teaching style during the Programme Welcome Talk scheduled during Welcome Week.

The MSc programmes involve self-study outside of your lectures and tutorials, such as working in the library and having informal discussions with other students. Overall, you should plan on lectures, tutorials and independent study taking up at least 35-40 hours a week.

E-learning training

The E-Learning Unit will be running a live induction session to introduce you to the e-learning technologies in use at QMUL. The training will offer students an insight how best to use QMPlus, Q-Review and other e-learning systems for their studies. A version of the training will be recorded and available after to students unable to attend or to revisit later. Please note - you are only required to attend one of the sessions.

To log into QMPlus, you will need to go to this webpage - qmplus.qmul.ac.uk - and enter your username and password, which has been provided to you by IT Services. 

You can watch a brief introduction to QMplus to help find your way around the platform, and you can enrol on our QMplus Induction for Students self- direct course where you will find all the information you need to help you get started with using QMplus. 

Reading list

For many programmes, the school will be providing access to e-books for compulsory modules.

Corporate Finance

  • Berk, J. and Demarzo, P. (2016). Corporate Finance. (Global 3rd/4th/5th edition). Pearson Education.

Investment Management & Primary Markets and Securities

  • Zvi Bodie, Alex Kane & Alan Marcus Investments, McGraw-Hill Education; 11 edition (15 Oct. 2017).

Quantitative Methods in Finance & Financial Modelling in Excel

  • Benninga, S. (2014). Financial Modeling. (4th edn). The MIT Press, Cambridge, Massachusetts.

Valuation

  • Koller, T, Goedhart, M and D. Wessels (2015), Valuation: Measuring and Managing the Value of Companies, Wiley (6th Edition)

Practical Valuation

  • Hillier, D., Ross, S. A., Westerfield, R., Jaffe, J. F. and Jordan, B. D. (2016). Corporate Finance. (3rd edition). McGraw-Hill Education, New York. 

Asset Pricing, Trading, and Portfolio Construction

  • John Y. Campbell, Financial Decisions and Markets: A Course in Asset Pricing. Published: 10/31/2017

Introduction to Machine Learning

  • Aurélien Géron, Hands-On Machine Learning with Scikit-Learn and TensorFlow, O'Reilly Media, Inc.

Your Postgraduate Support Team

If you have any further questions please do not hesitate to contact the School via AskQM.  

 

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