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School of Economics and Finance

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Induction

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, Queen Mary University of London. Outlined below is important information about programmes and induction.

Enrolment

You will be receiving an email detailing your individual slot at the Enrolment Centre in the week commencing 11 September 2017. Queen Mary enrolment will take place in the Enrolment Centre, which is in the Octagon, Queens' Building, at the Mile End campus, London, E1 4NS. The Queens' Building is marked as number 19 on the campus map: Mile End Campus map [PDF 936 KB]

If you don't think that you will be able to make your specific enrolment date, please see our 'Late or missed enrolment' section for details on what to do.

Important Dates

Induction & Pre-sessional Weeks - 18th September - 29th September

Semester 1 - 2nd October - 15th December

Reading Week - No teaching - 6th November - 10th November

Semester 2 - 8th January - 30th March

Reading Week - No teaching - 19th February - 23rd February

Semester 3 - Revision week - 23rd April- 27th April

                     - Examination Period - 30th April – 8th June

Induction Programme Details

  • Programme Welcome Talk will be held on either Monday 18th September or Tuesday 19th September depending on the Group allocated. The talk will cover information regarding the pre-sessional programme, module registration, the School handbook and facilities available to students.
  • Induction Week begins Monday 18th September – Friday 22nd September 2017 (Week 0) and continues from Monday 25th September – 29th September 2017 (Week 1). During this time you will be covering more than a few welcome events, pre-sessional lectures and classes.
  • Teaching of modules at School of Economics and Finance (SEF) begin Monday 2nd October 2017 (Week 2). The teaching timetable 2017-18 will be made available during induction week.
  • Enrolment is the process of officially registering with the University, and it is compulsory that you do this during your first week at the College. SEF enrolment slot is on Wednesday 20th September (15:30 - 17:30).
  • Directions to the campus can be found through the Campus Map.
  • SEF+ Events: Buy your tickets for the theatre to watch The Lion King (26th September, 7:30pm) and Wicked (27th September, 7:30pm).
    • Buy your tickets for the City Finance Walking Tour (25th September, 2pm).
    • Register for the launch of Alumni Talks series here (on 29th September, 5pm onwards).
  • International / EU Student Welcome Programme is run by the Queen Mary. Please check the schedule here.
  • Events for all students such as tours of the local area, boat party, London bus tours. Book events here.
    • Welcome and orientation events: There are a range of different events on offer to introduce you to the campus, the local area and London. Tickets for all events can be purchased via our e-shop.
    • And many more on the QMSU.

The schools welcome activities will provide you with information about:

  • The pre-sessional maths and stats support lectures and classes
  • Specialised IT facilities in the school
  • Careers support and advice to help you plan your career
  • Information about resources in QMUL Mile End library
  • Help with English and academic writing from The Language Centre (support is available for all students not just international students)
  • QMUL Student Union

Pre–Sessional Lecture

Pre–Sessional Syllabus and Reading lists for

Msc Investment and Finance, Msc Investment Banking , Msc Wealth Management, Msc Business Finance, Msc Banking and Finance, Msc Behavioural Finance

Pre-sessional Maths and Statistic classes begin on the Monday 18th September and lasts for two weeks. You will need to attend 6 Lectures and 6 tutorials spread over these two weeks accumulating to total of 18 hrs. There is no examination at the end of this period but it will help us to identify students that may require extra support in these areas.

Lectures are led by Dr. Marco de Benedetto and Gabrielle Vecchio.

Click here.

Pre-Sessional Schedule

Msc Induction schedule: Full Induction 2017-2018 Schedule [PDF 50KB].

Groups

Which group to attend?

  • Group 1: students with the surname A –I
  • Group 2: students with the surname J – R
  • Group 3: students with the surname S – Z

Make sure that attend the correct group so that rooms are not overcrowded. Content of classes follow the preceding lectures.

The groups for the classes are organised alphabetically by surnames. Groups for classes/tutorials are smaller in size than the lectures:

Group 1 Surname A -Jia         Group 2 Surname J - R         Group 3 Surname S - Z
Group 1A A Group 2A J Group 3A S
Group 1B B Group 2B K-Lh Group 3B T - V
Group 1C C Group 2C Li Group 3C W - Wan
Group 1D D - F Group 2D Li - Lz  Group 3D Wao - X
Group 1E G Group 2E M - O Group 3E Y - Ze
Group 1F H- I Group 2F P - R Group 3F Zf - Zz

Students are advised to attend the correct group so that rooms are not overcrowded. Content of classes follow the preceding lectures.

Please look up as to which group you belong to and use the hyperlinks below to see your timetable:

Group 1Group 1 [PDF 53KB]

Group 2Group 2 [PDF 52KB]

Group 3: Group 3 [PDF 53KB]


Pre–Sessional Syllabus and Reading lists for

Msc Economics, Msc Finance, Msc Finance and Econometrics

Pre-sessional classes begin on the Tuesday 19th September and lasts for two weeks. You will need to attend 8 Lectures spread over these two weeks accumulating to total of 22 hrs. There is no examination at the end of this period but it will help us to identify students that may require extra support in these areas.

Lectures are led by Senior Lecturer Leon Vinokur and Prof. Xavier Mateos-Planas.

Click here.

Pre-Sessional Schedule

Msc Finance Schedule [PDF 126KB]

Msc Economics, Msc Finance and Econometrics Schedule [PDF 125KB]

 

**Note: It is very important that you attend the pre-sessional lectures and classes.**

Programme Structure

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

For each module you can expect to receive 3hrs of contact time each week, either in the form of a 2hr lecture and 1hr tutorial, or a 3hr teaching block. Your programme diet will include four modules each semester. Lecture and tutorials are scheduled Monday through to Friday, and may take place during evenings. No compulsory modules will be scheduled at weekends, however, where there is no alternative, some Semester B elective modules may be scheduled on Saturday.

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.

Timetable

View the sample MSc teaching timetable. This is just an overview of how your weeks may be scheduled in Semester A and B although this cannot be guaranteed. There will be some elective Semester B modules on a Saturday.

Module Code Module Name Location Day Start End
Lectures          
ECOM00A Module 1 Maths: MLT (144) Wednesday 12:00 14:00
ECOM00B Module 2 Bancroft: Mason LT (295) Tuesday 19:00 21:00
ECOM00C Module 3 WCH, Blizard, Perrin LT (418) Wednesday 19:00 21:00
ECOM00D Module 4 Maths: MLT (144) Tuesday 16:00 18:00
ECOM00E Module 5 Bancroft: Mason LT (294) Wednesday 15:00 16:00
Tutorials          
ECOM00A Module 1 Bancroft: 3.26 (67) Friday 10:00 11:00
ECOM00B Module 2 Eng: 2.07 (48) Friday 13:00 14:00
ECOM00C Module 3 PP: PP2 (105) Thursday 09:00 10:00
ECOM00D Module 4 PP: PP2 (105) Tuesday 14:00 15:00
ECOM00E Module 5 Bancroft: 1.23 (73) PC Lab Tuesday 10:00 11:00


Optional Modules

In addition to the modules you take as part of your MSc programme, the School also provides the following courses to help you build upon your professional skills. These courses are not intended to provide academic credit towards your MSc. We run programmes as Amplify Trading, C++, VBA, Matlab, Financial Trading Programme, Applied Portfolio Management, and Python for Finance, Trading and Investing.

Read more about it here.

Careers

SEF’s dedicated Career Consultant, will run a session to let you know about the special events, workshops, help and support available for your career planning. These sessions are included in the pre sessional timetable.

Click here to read further about our Careers team.

Excel

There are special Microsoft Excel sessions that will be conducted. These sessions will give you some insight of how to use macro and formulae for academic purpose. However due to limited space these will run as first come first serve basis. Initial session will run in the morning and repeat session post lunch period. See pre-sessional timetable below for date and time.

QUMMIF

Queen Mary University of London MSc Investment Fund (QUMMIF) is a student-managed investment fund that currently has responsibility for over £30,000 of investments!

It is one of the only investment clubs of its kind in London, established for postgraduate students interested in obtaining relevant, practical work experience in trading and portfolio analysis.

Read more about it here.

qNomics

qNomics provides financial guidance and resources to technology start-ups and entrepreneurs. Read more about it here.

Reading list

The school will be providing access to e-books for compulsory modules and we will be updating the reading lists here.

Social Media

Do make sure that you Like, Follow, Comment and Network


MSc Mathematics Review

  • The aim of these lectures is to review some basic mathematical concepts, which you are assumed to be familiar with.
  • In particular, these lectures will review the concepts of:
    • Functions (Linear, Quadratic, Cubic, Hyperbolic, Exponential and Logarithmic)
    • Matrices
    • Derivatives and the rules of differentiation
    • Unconstrained and Constrained Optimization
    • Principles of Finance (Capital Budgeting: NPV, IRR, Profitability Index; Depreciation; Simple and Compound Interest Rate).

Recommended reading:

  • Sydsaeter, K., Hammond, P., Strom, A. (2012) Essential Mathematics for Economic Analysis, Pearson, 3rd Edition.
  • Hoy, M., Livernois, J., McKenna, C., Rees, R., and Stengos, R. (2011) Mathematics for Economics, MIT Press, 3rd Edition.
  • Francis, A. (2004) Business Mathematics and Statistics, Cengage, 6th Edition.

MSc Statistics Review

  • The aim of these lectures is to review some basic statistical concepts, which you are assumed to be familiar with.
  • In particular, these lectures will review the concepts of:
    • Descriptive Statistics (Measures of Central Tendency and Variation)
    • Probability and Probability Distributions (Discrete and Continuous Random Variables)
    • Estimation and Hypothesis Testing

Recommended reading:

  • Newbold, P., Carlson, W., and Thorne, B. (2010) Statistics for Business and Economics, Pearson, 7th Edition.
  • Anderson, D., Sweeney, D., Williams, T., Freeman, J., and Shoesmith, E. (2010) Statistics for Business and Economics, Cengage, 2nd Edition.

For an introduction to econometrics:

  • Gujarati, D. (2003), Basic Econometrics, McGraw-Hill, 4th Edition.
  • Brooks, C. (2008), Introductory Econometrics for Finance, Cambridge University Press, 2nd Edition.

Pre–Sessional Syllabus and Reading lists for Msc Economics, Msc Finance and Econometrics

  • The aim of these lectures is to review some basic concepts, which you are assumed to be familiar with.
  • In particular, these lectures will review the concepts of:

Pre-sessional 1: Calculus

  • The difference quotient
  • Derivatives
  • Increasing and decreasing functions
  • Optimization
  • 2nd and 3rd derivative
  • Points of inflection
  • Economic applications

Pre-sessional 2: Matrix Algebra

  • Idempotent matrix
  • Rank of a matrix
  • Determinant of a matrix
  • Characteristic vector
  • Diagonalisation and spectral decomposition
  • Trace of a matrix

Pre-sessional 3: Statistics

  • Probability and Distribution theory
  • Random variables
  • Cumulative distribution function
  • Descriptive Statistics
  • Probability distribution

Recommended reading:

  • G. Renshaw, (2012) Maths for Economics, Oxford.
  • William H. Greene, (2011) Econometric Analysis, Pearson Higher Ed, (Appendices A and B).
  • Dixit, Avinash K. (1990) Optimization in Economic Theory. Oxford: Oxford University Press, 2 ed.


Pre-sessional 4: Macro

  • Dynamic systems in continuous time
  • Dynamic systems in discrete  time
  • Calculus of variations
  • Optimal control
  • Discrete time optimisation

Recommended reading:

  • D. Acemoglu, "Modern economic growth", Princeton University Press.
  • A. Chiang, "Fundamental methods in mathematical economics", McGrawHill.
  • A. Chiang, "Elements of dynamic optimization", McGrawHill.
  • J. Miao, "Economic dynamics in discrete time", MIT Press.
  • K. Sydsaeter et al., "Further mathematics for economic analysis", FT Prentice Hall.

 

If you have any further questions please do not hesitate to contact the School:

Richa Dave | Postgraduate Student Support Manager | School of Economics and Finance
Queen Mary University of London | Mile End Road | London E1 4NS | United Kingdom
Email: r.dave@qmul.ac.uk | Telephone: +44 20 7882 8849

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