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More in this section Postgraduate Taught (MSc)

PGT Course Information

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Exam Rubrics

Coming soon

Academic Timetable ***New for 2017-18***:

Your individual timetable will be to see online via Campus Connect and you candownload this to a personal calendar if you wish. We advise that the timetable is regularly checked as it links to the live Timetabling system, so will update automatically to reflect any changes. Timetable changes within two working days of the event will be notified by email to your Royal Holloway account.

You will recieve seperate communciations by email and on Campus Connect about exactly how to access and download your timetable and further information can be found here.

Seminar Allocations

Seminars start week commencing 2nd September 2017. You will be notified of your seminar group before that time.

Assessment Submission Deadlines

PGT Assessment Deadlines (Specific dates will be announced by course leaders).

Progression requirements

The progression requirements for the Masters programmes offered can be found here.

Personal Adviser

The personal adviser for all postgraduate taught students is Dr Vinay Nundlall.

EC5555 Pre-sessional Quantitative Methods Course  

The aim of this course is to give students the mathematical background necessary for studying and working in economics. The mathematical part of the course will cover basic analytical methods with a particular emphasis on optimisation, but will also introduce basic matrix analysis.

 

 Credits

Compulsory (no credits)

 Duration

11th-15th September 2017 AND 18th-22nd September 2017 

 Lecturer

Dr Bjoern Hartig

 Course outline

EC5555 Outline 201718 

 Course timetable                 

Pre-sessional Timetable 

 

EC5000 / EC5001 Dissertations 

This module includes three elements, all of which have some contribution to your final mark for this module; 10,000 word Dissertation, Research Methods course and Stata Course.

You will be equipped with the necessary skills required for research. While conducting research sounds like an easy task, it is paved with various difficulties. This course aims to help you avoid these traps so that you can conduct an efficient piece of research (i.e. dissertation) at the end of your degree.

The dissertation (EC5000/5001) is an original piece of work that students undertake in the summer term, conditional upon passing all the courses in which the students are examined. It is an extended essay based on empirical investigation and is up to 10,000 words in length.. A Research Methods course which is part of EC5000 will take place in the second half of the autumn term. In addition a Stata course will take place in Week 2. For MSc Economics students, part of the grade in the dissertation will come from an individual presentation of the dissertation proposal. This presentation will take place in the Spring Term.

 

Credits

60 credits 

Duration

Stata course takes place in the first week of term, when lectures start. There are five 2-hour lab sessions.

Research methods takes place in the Autumn and Spring terms.

The Dissertation is written over the summer and submitted in late August / early September.

Lecturer

The MSc Economics Stata course will be delivered by Elena Lisauskaite

The MSc Finance Matlab course will be delivered by Pierre-Olivier Fortin

The joint Research Methods course by Dan Anderberg

Course Outline 

EC5000 Outline 201718 

EC5001 Outline 201718

Course webpage

Moodle 

EC5020 Industrial Economics 

EC5020 is a one-term MSc course in industrial economics. The aim of the course is that students should become familiar with a broad range of the methods and models that economists use to analyse firms and industries. A broader goal is that students that take the course, by working extensively with theoretical models, will acquire analytical skills they can transfer to other kinds of intellectual problems.
Students should have a foundation in microeconomics and mathematics, including calculus.

Credits                20 Credits                                                                                                 
Duration  

Spring Term (10 weeks)

Lecturer

Sourav Bhattacharya

Course Outline

EC5020 Outline 201718

Course Webpage  

Moodle 

EC5040 Econometrics 

This is a course intended to familiarise students with the principal methods of econometric analysis. The emphasis is on applied econometrics and will try to ensure that you are comfortable when reading and evaluating the econometric work of others and that you can also produce good quality applied econometric work of your own.

The first half of the course is designed to ensure a sound understanding of the basics, assuming that you have already completed a core undergraduate course in econometrics. You will be introduced to the principles and assumptions underlying ordinary least squares. The second half of the term will then study the consequences of any departure from these assumptions, how to test for this and what to do about it.

 

Credits 

20 credits

Duration 

Autumn Term (10 weeks)

Lecturer

Jonathan Wadsworth

Course outline

EC5040 Course Outline 2017-18

Course webpage

Moodle

Past exam papers

Past exam papers

EC5051 Mathematical Methods

The aim of this course is to give students a mathematical and statistical background necessary for studying Economics at postgraduate level. The course will cover basic analytical methods used in Economics and Finance with a particular emphasis on optimisation, but will also introduce basic matrix analysis and statistics.

Credits 0 credits                                                                         

Duration

Autumn Term (10 weeks)

Lecturer  

Hui Fai Shing                                        
Course Outline

 

EC5051 Course Outline 2017-18

Course Webpage                                      

Moodle

EC5070 Decision Theory and Behaviour 

The aim of the course is to deepen the students' knowledge of the rational decision making paradigm in economics, as well as its shortcomings identified over the last few decades. We will explore behavioural models, their formalization and scope, including applications to finance. The course will familiarize students with both theoretical and experimental methods for research in decision theory and behavioural economics.

 

Credits 

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Piermont Evan

Course outline

EC5070 Outline 201718

Course webpage

Moodle 

Past exam papers

Past exam papers

p

EC5110 Microeconomic Theory

Offered in the Autumn term,this course is a graduate level introduction to microeconomic theory. During the course, the students will learn the core tools that economists use to analyse problems of resource allocation in market settings. The topics include the theory of the optimising behaviour of producers and consumers, partial and general equilibrium theory, basic game theory, and the theory of oligopoly.


 

Credits 

20 credits

Duration

Autumn Term (10 weeks)

Lecturer

Piermont Evan

Course outline

EC5110 Outline 201718

Course webpage

Moodle

Past exam papers

Past exam papers

EC5111 Advanced Topics in Microeconomics (201617 Update Pending)

Offered in the Spring term, his course is a graduate level introduction to static and dynamic games, games with incomplete information, Bayesian decision theory, and common knowledge.

 

Credits 

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Michael Mandler

Course outline

EC5111 Course Outline 201718

Course webpage

Moodle - 

Past exam papers

Past exam papers

EC5120 Macroeconomics

This course gives an introduction to modern intertemporal macroeconomics with an emphasis on the determinants of economic growth. During the course we will also develop and apply tools for dynamic economic analysis that are useful in all fields of economics.

 

Credits

20 credits

Duration

Autumn Term (10 weeks)

Lecturer

Manolis Galenianos

Course outline

EC5120 Course Outline 2017-18

Course webpage

Moodle

Past exam papers

Past exam papers

EC5180 Evaluation Economics

The course aims to give students broad advanced-level training in the economics of policy evaluation. Students will be provided with the facility to apply economic models to evaluate actual policy interventions. By the end of the course students should be able to able to apply quantitative techniques and qualitative methods to evaluate actual policy interventions in particular fields and countries.

 

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Melaine Luhrmann

Course outline

EC5180 Course Outline 2017-18

Course webpage

Moodle

Past exam papers

Past exam papers

EC5220 Labour Economics

The objective of this course is to expose the students to tools used in the analysis of labour markets. At the end of the course, students are expected to be able to theoretically and empirically analyze important labour market phenomena as well as important public policy issues such as government training programs, minimum wage policies, unemployment isnurance and in-work benefits. Some of the main topics covered are labour supply adn time allocation decisions, schooling and job training, human capital investmen, determinants of labour market outcomes and determinants of early child cognitive achievement outcomes, marriage and fertility choices. In analyzing these topics, the emphasis will be on the specification and estimation of static as well as dynamic models of individual choices.

Credits

 20 credits    

Duration

Spring Term (10 weeks)

Lecturer

Ija Trapeznikova|

Course outline  

EC5220 Course Outline 2017-18 

Course Webpage

Moodle

Past Exam Papers

Past exam papers

EC5230 Advance Topics in Macroeconomics

This course will cover selected topics in modern macroeconomics. It will cover theoretical and empirical analysis of (1) economic growth, (2) technological change, (3) inequality, and (4) time allocation.

Credits                                                       

 20 credits                                                               

Duration

Spring Term (10 weeks)

Lecturer

Nicolas Roys

Course outline  

EC5230 Outline 201718

Course Webpage

Moodle 

EC5310 Corporate Finance 

The aims of this post-graduate level course in corporate finance theory and policy are to introduce students to the techniques used in financial decision making in the modern corporation. It describes how the corporation in the business environment appraises investment opportunities, raises finance to fund such projects and increases shareholder wealth via sound management and planning. The concepts developed in this course form the foundation of most elective finance courses.

Credits

20 credits

Duration

Autumn Term (10 weeks)

Lecturer

Hui-Fai Shing

Course outline

EC5310 Course Outline 2017-18

Course webpage

Moodle 

Past exam papers

Past exam papers 

EC5320 Foundations of Finance

The course is designed to provide students with the tools necessary for analyzing financial markets. It introduces students to the foundations of choice under uncertainty and then familiarizes them with the modern theory of asset pricing. Thereafter, a general approach to asset valuation, which builds on state contingent prices, is employed to introduce the fundamental concept of arbitrage pricing and the notion of market completeness.

 

Credits

20 credits

Duration

Autumn Term (10 weeks)

Lecturer

Klaus Ritzberger

Course outline

EC5320 Outline 2017-18

Course webpage

Moodle

Past exam papers

Past exam papers

EC5321 Investment and Portfolio Management 

The main objective of this course is to introduce students to the underlying theory and empirical evidence in portfolio management while familiarizing them with its practice in the financial sector. The techniques developed should be useful for both students interested in practicing professions such as asset management or financial planning and for those interested in research. The course blends portfolio theory with practical issues encountered in the investment process. Topics include identifying investor objectives and constraints, recognizing risk and return characteristics of investment vehicles, developing strategic asset allocations among equity, managing portfolio risk, increasing portfolio return and evaluating portfolio and manager performance relative to investment objectives and appropriate benchmarks. The focus is on understanding how funds are allocated in portfolio construction while other relevant topics such as security analysis, optimal portfolio selection and delegated portfolio management are also covered. The bias in the course will be towards equity markets rather than derivatives.

 

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Vinay Nundlall

Course outline

EC5321 Outline 201718 

Course webpage

Moodle 

Past exam papers

Past exam papers

EC5330 Quantitative Methods in Finance

The aims of this course are to introduce the basic tools of quantitative analysis for financial markets. The course starts with a detailed treatment of probability theory, mathematical statistics and hypothesis testing. It then moves to the empirical analysis of financial time series and their applications. Students will also be taught the skills to estimate and interpret models and therefore, part of the course will be data-driven. As such, some time will be spent learning statistical and econometrics software.

 

Credits

20 credits 

Duration

Autumn Term (10 weeks)

Lecturer

Francesco Feri

Course outline

EC5330 Outline 201718

Course webpage

Moodle 

Past exam papers

Past exam papers

EC5333 Financial Econometrics

This course introduces students to the main econometrics techniques used to study macro and financial time series. The core knowledge embodied in the course will enable students to understand and critically assess the extant literature in in empirical time series econometrics applied in the field of macroeconomics and finance. 

Students on MSc Economics and Statistics should note that this course is complemented by the course MT5436 Applied Probability.

 
 

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

To be confirmed

Course outline

EC5333 Course Outline 2017-18 

Course webpage

Moodle

Past exam papers

Past exam papers

EC5340 Fixed Income Securities and Derivatives

The course provides a theoretical economic analysis of the economics of banking and the potential fragility of the financial system.  The course will include analysis of why banks exist and why bank runs may occur, with reference to the most recent global financial crisis of2007-2008

 

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Pierre-Olivier Fortin

Course outline

EC5340 Course Outline 2017-18

Course webpage

Moodle

Past exam papers

Past exam papers

EC5360 The Economics of Banking

The course provides a theoretical economic analysis of the economics of banking and the potential fragility of the financial system. The course will include analysis of why banks exist and why bank runs may occur, with reference to the most recent global financial crisis of 2007-2008.

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Andrew Mountford

Course outline

EC5360 Course Outline 2017-18

Course webpage

Moodle

Past exam papers                                

Past exam papers                                                          

 

EC5370 Private Equity 

The aim of the post-graduate level course is to give a more in-depth look at corporate finance issues related with company evaluation and with the main user of those evaluations e.g. private equity and Venture Capitalist (VC). It also aims at giving a practical approach to key aspects of corporate valuation, for example leverage. Finally this course will detail the dynamic and the valuation specificity for the different stages of the company from the start up, to the IPO to the mature company doing merger and acquisition..  

Credits

20 credits

Duration

Spring Term (10 weeks)

Lecturer

Pierre-Olivier Fortin

Course outline

EC5370 Course Outline 2017-18

Course webpage

Moodle

 

EC5550 Working in the Financial Industry

The aim of the course is to give guidance to students who want to work in the financial industry. This course aims to bridge the gap between finance studies at university and what finance industry professional expect from graduates. The course explains precisely what existing finance jobs entail, what is required from the people working in those jobs, what the perspectives of these jobs are. This course will also prepare students for the professional interview of such a job.

Credits                                       

0 credits

Duration

Autumn Term (10 weeks)

Lecturer

Pierre-Olivier Fortin

Course outline

EC5550 Course Outline 2017-18.                                        

Course webpage

Moodle

 

 
 
 
 

2017-18 Course Structures

For information on course options and the structure of each MSc Programme, see below.

Final year students of the 2 year Masters follow the course structure of their degree.

Please note these could be subject to change.

MSc Economics

MSc Economics

MSc FinanceFinance Image for Web

 

MSc Two Year Programmes (1st Yr)
2 Year programmes inamge for web
MSc Computational Finance
Computational Finance
 
 
 

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