The objective of the Specialised Programme in Quantitative Finance is to train top level specialists able to advance in today’s global financial sector characterised by constant change and continuous innovation.
This 12-month programme has been developed to help graduates from engineering schools and universities, possessing a strong background in mathematics, computer science, physics and similar areas of expertise, launch their career in quantitative finance. After completing this specialised programme, graduates take up various positions like Risk Manager, Financial Engineer or ‘Quant’, Asset Manager, Fund Manager and others.
The academic courses include both the fundamentals of management as well as specialised courses like quantitative methods, economic and financial environments, life insurance and pension funds management. This academic part takes place in Paris and is complemented by a 6 month internship.
If you are looking to enter the international world of finance, and want to become part of a network of over 27,000 professionals around the globe, then the Specialised Programme in Quantitative Finance is the right programme for you!
The courses are taught by professors from emlyon business school and from other top higher education establishments as well as by professionals from the world of finance. What all these trainers have in common is their high technical level as demonstrated by their numerous publications in international reviews or their senior positions in the corporate world.
Spend the first semester at Lund University in Sweden
Students of the Specialised Programme in Quantitative Finance have the opportunity to spend their first semester (from mid-August to December) at Lund University in Sweden.
As exchange students, they will attend courses of Advanced Econometrics, Foundations of Finance, Continuous Time Finance and Empirical Finance , which are all part of the core courses of the MSc in Finance delivered by the school of Economics and Management of Lund University.
Lund University was founded in 1666 and is one of the largest, oldest and broadest universities in Scandinavia consistently ranked among the world’s top 100 universities. Lund University has an excellent academic reputation with a large number of visiting professors and international students. The School of Economics and Management is located at the Holger Crafoord Centre - a modern campus area seething with activity.
Should you be interested in this opportunity, please contact our admission services during the application process as you won’t be able to apply to this semester after August 1st.
Spend 3 months in Shanghai
emlyon business school Shanghai welcome the students of the Specialised Programme in Quantitative Finance who are the most motivated for 3 months, from April to July.
An experience that naturally makes your CV stand out, over the course of these three months you will learn about what makes business and finance in Asia tick as you study a variety of classes (The Financing of Innovation, Business Finance in Asia, Financial Mathematics for Bonds Markets, Life Insurance and Pensions, Advanced Corporate Finance, etc.) and meet alumni and experts.
From September 2016 onwards, the Specialised Programme in Quantitative Finance will take place in Paris, one of the top european financial centers.
The courses are given by professors from emlyon business school and other top higher education establishments as well as by professionals from the world of finance.
What all these trainers have in common is their high technical level as demonstrated by their publications in international reviews or by their senior positions in the corporate world.
emlyon business school is recognised as one of the top European management training institutions. The Specialised Programme in Quantitative Finance is certified by the label Conférence des Grandes Ecoles
What you will gain from this programme
Applicants for the Specialised Programme in Quantitative Finance share a strong desire to work in an international environment. This passion is mirrored in a programme designed to develop those skills that will be most useful for your future career. The Careers Services Department provides continual support in identifying your career goals and developing action plans to achieve them. The 'Professional Project' creates the ideal framework for you to work in small groups and analyse your own strengths and weaknesses, while expressing and validating your preferences towards the job environment. Wide-ranging co-operation with our global partner companies and the worldwide alumni network allows students to draw on a worldwide network of influential business contacts.
This programme welcomes recent graduates from engineering schools and universities, who have a strong background in mathematics, computer science, physics, etc… and who are looking for a career in quantitative finance. It is also aimed at students in economics and administration as well as at Business School graduates, as long as they have completed scientific courses such as econometrics, economic forecasting and/or quantitative finance.
If you would like to have the contact details of the right person to help you with any questions regarding the programme or the selection procedure, you can create your personal space and obtain full contact details on your emlyon business school dashboard.
Big data and quantitative methods are transforming political processes and decisions in everyday life. Local, national and international administrations are making "open data" available to wide audiences; giant, world-level web organisations are putting more and more "services" in synergy (search, map, data storage, data treatment, trade, etc.); and some private companies or governments are developing strongly ideological projects in relation with big data, which may have major consequence on the means by which we are ruled. All these issues involve data in text, image, numeric and video formats on unprecedented scales. This means there is a growing need for trained specialists who will have the cpacity to compete and/or collaborate with strictly business or technique-oriented actos on the basis of sound knowledge from political and international studies.
In contrast to degrees such as Data Science or Data Analytics, where the focus ends up being almost exclusively on data practices and computational tools, the MA in Big Data and Quantitative Methods provides you with a knowledge and understanding of the central and innovative quantitative approaches in political science, the debates they have generated, and the implications of different approaches to issues concerning big data and public policy. The MA also draws on the considerable expertise which Warwick now has in quantitative methods located in PAIS, Sociology, the Centre for Interdisciplinary Methodologies (CIM) and the Q-Step Centre.
Given that a noteworthy part of big data is actually social data, this MA programme seeks to attract students from a variety of social science-related disciplines, including politics, sociology, philosophy and economics; you do not need a background in statistics to be eligible for the course. Students are required to take three core modules: Fundamentals in Quantitative Research Methods (previously Quantitative Data Analysis and Interpretation); Big Data Research: Hype or Revolution?, and Advanced Quantitative Research, and have a range of optional modules to choose from in PAIS or from other departments across Warwick including Law, Philosophy, Sociology and the CIM. Graduates of this degree will be able both to engage technically with data released at a new scale and to keep a critical expertise on their relevance and quality, skills which are increasingly required in the competitive global job market.
In addition to regular modules, the Warwick Q-Step Centre is offering a range of different masterclasses. Topics include Reproducibility, Quantitative text analysis, Web data collection, Geostatistics, Inferential network analysis, Machine learning, Agent-based simulation and Longitudinal data analysis. All masterclasses are designed as comprehensive but gentle introductions to methods that are not covered at length in core method modules. They are intended to broaden your horizons and provide concepts and tools to be applied in your future research.
Do you want your work to involve revenue management, transport planning and scheduling in railways, shipping lines and airlines or supply chain design? Or would you rather excel in science? Do you have sound academic training in econometrics, mathematics, physics, industrial, mechanical or systems engineering? Then you should seriously consider the Operations Research and Quantitative Logistics programme.
Operations Research is a broadly applicable discipline in which advanced quantitative methods are used to help make better decisions. Quantitative Logistics studies the application of quantitative techniques to design, plan and control logistics systems. This programme trains you in both fields, while addressing real-world problems.
This specialisation focuses on areas in transport and logistics requiring strong quantitative skills. It differs from other standard logistics or supply chain management programmes in the sense that you also learn all about the methodology underlying advanced decision support systems. Giving you the edge.
With this specialisation, you can easily secure employment in sectors that are in increasing need of quantitative skills, like logistics / transport, healthcare and utilities. Records show that the analytical skills acquired in this programme will give you distinctive hiring and starting salary advantages over many other graduate programmes. Today’s need for data-driven management is fulfilled by our graduates. Examples of companies include:
Do you share our students’ sound academic training in a quantitative domain? Does the transport/logistics sector appeal to you, too? Are you ambitious and analytical just like they are? They will gladly share their thoughts on the programme with you.
Download the brochure here.
The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see entry requirements ), as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.
We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.
Trading BootCamp Week
Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.
The Finance Zone
Worshipful Company of International Bankers Affiliation
Our accounting and finance division courses are now affiliated with the Worshipful Company of International Bankers (WCIB). Every year the best dissertation out of the following four courses will receive the WCIB Prize worth £300.
The winner will also enter the competition for the prestigious WCIB Lombard Prize .
The course teaching is shared by Alliance Manchester Business School and the School of Mathematics, and delivered through lectures, case studies, seminars and group project-based work. Assessment varies depending on course units taken. It may include a combination of course work and examination. The dissertation normally ranges between 30 and 50 double spaced pages.
During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.
Over the summer period, you will carry out your Research Dissertation, worth 60 credits. The dissertation gives you the opportunity to apply what you have learned in the taught part of the course. Our topics are aligned with the research interests of leading financial institutions from the City of London and internationally.
Examples of recent dissertation project topics include:
Masters scholarships for Accounting and Finance programmes for UK/EU students
We are delighted to be able to offer five scholarships available across the four Accounting and Finance programmes with a value of £10,000 towards the cost of the tuition fee. The scholarships will be awarded in line with our scholarship deadlines so early application is advisable. Find out more>>
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
This course provides ideal preparation for a career in the finance industry specialising in designing and trading financial instruments. These financial engineers are expected to be proficient in computer programming and strong in financial mathematics. They have to be at ease with complex derivatives and creative enough to find solutions for pricing and hedging. The course also provides research skills for those who wish to pursue an academic career by studying at doctoral level.
The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology.
Quantitative Genetics & Genome Analysis is part of a suite of programmes offering specialist routes in Animal Breeding & Genetics, Evolutionary Genetics, or Human Complex Trait Genetics.
Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).
Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.
Applicants who wish to select their area of specialisation during the programme should apply for this umbrella programme. Applicants with a preferred programme option should apply via the following links:
This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.
Option courses (selected according to degree specialisation):
You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.
Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study.
The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within ‘real world’ contexts and a key aim is to develop graduates’ career-ready skills in this field.
A range of quantitative techniques will be covered including multiple regression, multi-level modelling, questionnaire design and psychometric testing, quantitative evaluation, and data management. One unit, ‘Statistics in Practice’ explores knowledge exchange, mobilisation and achieving impact with research. There is a mixture of core units and specialist options. The course culminates in a placement based dissertation, in which students will produce a piece of research on behalf of one of our partner organisations. We will help you source your placement.
The need for quantitative support for operational and strategic decisions is ever-increasing. Do you want to help businesses understand their customers better and make smarter decisions? Are maths, statistics and econometrics your forte? Do data science and the use of advanced methods appeal to you? The Business Analytics and Quantitative Marketing programme focuses on the most creative side of data science: converting big data into knowledge, finding opportunities and predicting behaviour.
This challenging programme teaches you how to solve business problems from an econometric point of view, perform quantitative research by using and further developing state-of-the-art data-analysis methods and translate findings into actionable advice.
At Erasmus School of Economics we are leaders in quantitative research and renowned for our high-quality practice-based teaching methods. Add this to our close ties to the business world and our many successful alumni in the field… and you know why Rotterdam is where you want to specialise in Business Analytics and Quantitative Marketing.
Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Not surprisingly, business analysts are in high demand. For the first step in their careers our alumni found jobs as a (marketing) researcher or data scientist at organisations like:
Such a position is also excellent stepping stone for a senior research or management position at similar corporations and institutions.
Are statistics and econometrics your thing? Would you like to dig deep, retrieve hidden information with state-of-the art techniques and contribute to sound decision-making? Our students share your interests. See how you match.
Download the brochure here.
To successfully complete this course, you must have a good understanding of mathematics. You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.
You should have a general interest in mathematics and statistics, including the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.
You’ll study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives. From there you’ll progress to specialist learning in econometrics, and cover a large amount of stochastics and numerical methods.
You’ll cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data. You will also have the opportunity to work with a number of different estimation techniques, including OLS, Maximum Likelihood and GMM.
You’ll work extensively with the Matlab programming language in the core modules alongside other languages such as VBA, Python or C as optional modules. You’ll choose five from around 40 optional modules in your final term. You can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter ‘applied research project’, which is the equivalent of two optional modules.
We review all our courses regularly to keep them up-to-date on issues of both theory and practice.
To satisfy the requirements of the degree course students must complete:
Assessment of modules on the MSc in Quantitative Finance, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.
The MSc in Quantitative Finance starts with two compulsory induction weeks, mainly dedicated to:
The job opportunities for students from the three quants masters programmes are very similar. similar. They usually find employment with large investment banks, but also some smaller boutique finance firms, hedge funds or other specialist companies.
Working as a general or technical analysts, risk management position, working on fixed income security desks and the asset management industry including hedge funds are typical jobs which students from the MSc Quantitative Finance go into. Energy companies, such as Npower, have also recruited quants students. Students from the MSc Quantitative Finance will have covered more topics relating to forecasting and regression analysis.
You will also have the skills to study for a PhD in the area of quantitative finance and financial markets.
This programme provides practical, career-orientated training in social science research methods, including research design, data collection and data analysis relating to both qualitative and quantitative modes of inquiry.
Students will have the opportunity to specialise in particular methodologies and to learn more about the application of these methodologies to illuminate important issues and debates in contemporary society.
The programme is designed to provide a fundamental grounding in both quantitative and qualitative research skills, along with the opportunity to specialise in more advanced training in quantitative research, qualitative research or in practical applications of research techniques.
This module offers an introduction to the different styles of social science research as well as guidance and illustrations of how to operationalize research questions and assess them empirically. Students will be shown how to conduct systematic literature searches and how to manage empirical research projects. The module will also explore issues around the ethics of social science research as well as the connection between social science research and policy concerns. It is designed as preparation for undertaking postgraduate research and dissertation work.
This module aims to deepen students' understanding of key debates in social theory and research, providing advanced level teaching for those building upon basic knowledge and undertaking postgraduate research. It is designed to demonstrate and explore how social theory is utilised, critiqued and developed through the pursuit of social science research.
The purpose of this module is to illuminate the theoretical underpinnings of qualitative research. The module will discuss the impact of various theories on the nature and conduct of qualitative research particularly around questions of epistemology and ontology. The role of different types of interviewing in qualitative research will be utilised in order to explore the relationship between theory and methods.
The aim of the module is to provide a comprehensive overview of the theory and practice of measurement and constructing quantitative data in the social sciences. Through lectures and practical exercises, this module will provide students with relevant knowledge of secondary data sources and large datasets, their respective uses and usefulness, and their relevance for the study of contemporary social issues
The module will provide students with an overview of different approaches to qualitative data analysis. It will include introductory training to this skill that includes such techniques as thematic analysis and discourse analysis, as well as computer assisted qualitative data analysis. It will provide the knowledge necessary for the informed use of the qualitative data analysis software package NVivo. The module gives students a base level introduction to the analytical and technical skills in qualitative data analysis appropriate to the production of a Master's dissertation and/or use of CAQDAS software for social science research purposes.
This module provides an introduction to the basics of quantitative data analysis. The module will begin with a brief review of basic univariate and bivariate statistical procedures as well as cover data manipulation techniques. The module is taught through a series of seminars and practical workshops. These two strands are interwoven within each teaching session. Please note that students may be granted an exemption from this module if they have already successfully completed a module that has the equivalent learning outcomes.
This module advances students' confidence and knowledge in the use of SPSS. The module focuses on multivariate regression models, including the appropriate use and awareness of statistical assumptions underlying regression and the testing and refinement of such models.
A dissertation of no more than 15,000 words on a topic relevant to social science research methods training. The thesis will involve either carrying out and reporting on a small social science research project which includes a full and considered description and discussion of the research methods employed or the discussion of a research issue or technique to a level appropriate for publication.
We offer a range of advanced modules in quantitative and qualitative research methods, for example, logistic regression, internet-based research and visual research methods. We also provide specialist modules which reflect the teaching team’s diverse research interests, from the social logic of emotional life to conflict and change in divided societies. Optional modules generally run during the Spring semester and are offered subject to sufficient student demand and staff availability. Students will be able to choose a maximum of three to four option modules (depending on whether they need to complete Quantitative Data Analysis: Foundational). Please note that it is unlikely that all the following modules will be available for 2017/8. Please check with the Programme Director for queries about specific modules.