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Masters Degrees (Quantitative)

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The Master’s Programme in Quantitative Economics and Finance (MiQE/F) offers a high-quality graduate education in economic theory, finance and quantitative methods. Read more
The Master’s Programme in Quantitative Economics and Finance (MiQE/F) offers a high-quality graduate education in economic theory, finance and quantitative methods. Apart from a common set of core courses, our students are able to select from a large menu of elective courses to specialise in economics, finance, or a combination of both. The MiQE/F prepares students for ambitious careers where a solid understanding of the theoretical foundations of economics and finance and a rigorous competence in quantitative methods are required. This combination provides MiQE/F graduates with a competitive advantage on the job market and direct access to highly selective Ph.D. programmes.

Curriculum

The MiQE/F is a research-oriented programme. The objective of the programme is to educate highly-qualified economists with special skills in the area of quantitative methods. The MiQE/F uniquely combines theoretical concepts, quantitative methods and their application to practical problems. On the basis of well-understood theory and methodology, students develop the skills necessary to analyze and solve complex practical problems.

Students need to successfully complete a course load of 90 ECTS in order to graduate with an M.A. HSG in Quantitative Economics and Finance.
In the MiQE/F programme, the compulsory courses mainly focus on economic theory and quantitative methods. This allows you to choose core electives according to your interests and talents and to shape your profile.

Compulsory courses
In the compulsory courses you will acquire basic methods and a theoretical knowledge of economics, finance and econometrics, as well as mathematics and statistics:
• Econometrics I / II
• Theory of Finance
• Advanced Microeconomics II
• Advanced Macroeconomics II
• Statistics
• Mathematics
• Advanced Mathematics and Statistics

Core electives and specialisations
The core electives involve advanced application- oriented work and problem-solving and allow for various specialisations. The different areas of specialisation include optional courses in econometrics, finance and economics, which are important to prepare for quantitative applications. The three specialisation areas can be flexibly combined. You can choose core electives and will have the possibility to create your profile by specialising within a field of your interest:
• Quantitative economics
• Quantitative finance
• Corporate finance, banking and insurance

Master’s thesis
The topic of the Master’s thesis has to be chosen from the MiQE/F core studies. When writing your thesis, you will be applying the skills you have acquired to explore a special research topic. The thesis must be written in English.

Contextual Studies
Contextual Studies are an opportunity to acquire leadership skills and develop intellectually and culturally beyond the scope of core studies. You are free to choose from Contextual Studies irrespective of your particular Master’s programme.

The Master´s Programme in Quantitative Economics and Finance (MiQE/F) has been continuously renewing its structure and curriculum to meet the changing needs in today's academic and business worlds. For the updated programme content, please refer to the programme's website: http://www.miqef.unisg.ch

Double degree and exchange programmes

By choosing the MiQE/F you can benefit from obtaining a double degree from the HSG and an additional leading European university: SSE, Stockholm (exclusively for economics students); ESADE, Barcelona; HEC, Paris; RSM, Rotterdam; and Bocconi, Milan. By choosing the MiQE/F, you will also have the opportunity to apply for the CEMS Master’s in International Management (CEMS MIM). To extend your choice of courses, the University of St.Gallen and the University of Constance (Germany) have agreed to cooperate at the Master’s Level. MiQE/F students thus have the possibility to choose certain courses from the Master’s Programme in International Economic Relations at the University of Constance, and vice versa.
Furthermore, the University of St.Gallen offers exchange programmes for its students with approx. 200 partner universities worldwide.

Career perspectives - A competitive advantage

Graduates with an economics degree often lack an in-depth education and extensive training in quantitative methods, whereas mathematicians and statisticians often lack the necessary background in economics or finance. The analysis of complex real world problems in international economic policy making, financial sector developments and private industry increasingly requires the use of rigorous quantitative and theoretical methods as they are offered by the MiQE/F.
The MiQE/F programme prepares students for ambitious careers that require a sound training in economics and finance, as well as in statistical and econometric methods. Your competitive advantage on the job market – after graduating from the MiQE/F – is the combination of your expertise in quantitative methods and a profound knowledge of economics and finance.

Language

The programme is taught in English.

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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. Read more

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!

Classes & Teaching Methods

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.

A unique international opportunity

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.

The Programme's Strengths For Your Benefit

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

  • Triple set of skills: scientific, technical and financial focused on quantitative finance practices.
  • A programme meeting international standards of the best European and North American universities.
  • Contributions from a number of operators from trading rooms in prestigious institutions
  • A pedagogic team renowned internationally for its research qualities applied to finance and insurance.
  • Support from banking and finance companies.
  • A diploma accredited by the “Conférence des Grandes Ecoles”
  • An important initial professional experience
  • Opportunities to reach the best positions in the top companies
  • Access to the Alumni Network of 27,000 graduates

Helping You Manage Your Career

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.

Admissions

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.



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Big data and quantitative methods are transforming political processes and decisions in everyday life. Read more

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.

Programme content

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 PAISSociology, 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.



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Advanced quantitative training squared. Read more

Advanced quantitative training squared

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.

Taking decision making further, in logistic epicentre Rotterdam

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.

Careers

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:

  • Air France-KLM, Schiphol Airport, Europe Combined Container Terminal (ECT)
  • Shell, Siemens, Netherlands Railways, KPN Telecom, TNT
  • consultancy firms like CapGemini, Deloitte and Ortec Consultants
  • NASA, Quintiq USA, TNT Post UK

"During my internship at an express carrier, I was sent to South Korea to do a complete network redesign"

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.



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If you are interested in mathematics and finance and you want to learn how to use mathematics and statistics to solve real financial and actuarial problems, the Master's program in Quantitative Finance and Actuarial Science is the program for you. Read more
If you are interested in mathematics and finance and you want to learn how to use mathematics and statistics to solve real financial and actuarial problems, the Master's program in Quantitative Finance and Actuarial Science is the program for you.

The Master's program in Quantitative Finance and Actuarial Science takes the critical field of risk management as its central theme, examined through the lens of quantitative models. Taught by the leading international academics of Tilburg University, content reflects the forefront of world developments in which:
•Investors weigh risks against returns;
•insurers limit their risks by calculating the appropriate premiums;
•option traders balance their books by calculating the sensitivities of their positions with respect to the relevant risk factors.

Delve into these challenging worlds of continuous time finance, empirical applications, and the actuarial sciences of risk theory and asset liability management - giving you a tool-kit of highly practical skills you can apply throughout your entire financial career.

The Master's program in Quantitative Finance and Actuarial Science offers you:
•The best preparation for a career in the arena
With a Tilburg University Master's degree recognized for its combined academic rigour and industry relevance.

•Great career prospects
The Master’s program in Quantitative Finance and Actuarial Science is one of the programs with the best career prospects. Graduates find work easily, often before graduation, and they earn above average. They work as, for instance, risk management consultants, actuaries or investment analysts. More about the excellent career prospects.

•Customized learning
With a wide range of optional electives available including the possibility to follow courses from the Master's program in Finance or to customize your degree with a specialization in Pensions, Aging and Retirement.

•The possibility to become a fully qualified actuary
After graduation you are eligible to apply for the part-time Executive Master in Actuarial Science offered by TIAS Business School and the Dutch Actuarial Institute.

•Teaching by leading international academics
Giving you a tool-kit of highly practical skills you can apply throughout your entire financial career.

Ranking
#1 in the Netherlands and #10 in Europe in Economics & Econometrics - QS World University Rankings

Future jobs

Your Master's degree in Quantitative Finance and Actuarial Science from Tilburg University will open up extensive career opportunities for you in the private sector, as well as in the public and non-profit sectors.

Graduates of our program currently pursue successful careers at:
•Banks
•Insurance companies
•Pension funds
•Consulting agencies
•Trading firms
•Corporate treasuries and risk control departments
•Regulatory institutions and government bodies.

The Master’s program in Quantitative Finance and Actuarial Science is one of the programs with the best career prospects. Graduates find work easily, often before graduation, and they earn above average.

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The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  . Read more

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.

  • Learn how to forecast and manage risk and return
  • Gain the skills to price any financial instrument
  • Learn how to engineer new methods and financial products
  • Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
  • Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

CFA training

We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

  • MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students who perform well in Semester one and show a strong interest in CFA will get free access to Kaplan's online training materials for CFA Part One.
  • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
  • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
  • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
  • The CFA is the most respected and recognised investment designation in the world.

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.

  • experience a live trading floor provided by two experienced traders with specialist software
  • engage with contemporary financial markets and apply your classroom theory in practice
  • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
  • a fantastic opportunity to prepare you for successful careers after graduation.

The Finance Zone   

Special features

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.

  • MSc Accounting 
  • MSc Accounting and Finance
  • MSc Finance
  • MSc Quantitative Finance

The winner will also enter the competition for the prestigious WCIB Lombard Prize . 

Coursework and assessment

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.

Course unit details

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:

  • Approximation of CVA/DVA/FVA
  • FVA and MM - quantitative analysis/illustration Continuous rainbow options on commodity outputs
  • Investigating dynamics and determinants of risk-neutral PDs
  • Using hazard models to forecast corporate bankruptcy
  • Analysing asset pricing implications from real options models
  • Pricing sovereign CDS contracts
  • Estimating liquidation probabilities of hedge funds

Scholarships and bursaries

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>>

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

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.

Click here for information on our Careers Service.

Click here for the latest information on visa changes and opportunities in the UK for international students.



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The two-year International Master of Science in Quantitative Economics (IMSQE) MSc programme is an elite fulltime MSc programme at the Department of Economics and Business, Aarhus BSS. Read more

Teaching at PhD-level

The two-year International Master of Science in Quantitative Economics (IMSQE) MSc programme is an elite fulltime MSc programme at the Department of Economics and Business, Aarhus BSS. Students tailor their own study programme on the basis of a range of advance-level courses with a quantitative orientation and selected PhD-level courses. The programme requires strong analytical skills in quantitative methods and there are special requirements regarding the level an qualitative contents of written assignments.

Learning objectives

The IMSQE programme provides its students with a number of outstanding qualifications. They will acquire analytical skills at a very high level, and they will thus be able to apply the methods that they have learned to new cases, to formulate new theories, to formulate and test hypotheses, and to reflect upon the validity and relevance of various scientific methods and substantive theories within the field. This implies that the students will be able to go well beyond reproduction of known material, and working independently on new topics within the area will be a core competence of the elite students.

Aims

The purpose of the IMSQE programme is to provide candidates with advanced-level training within the analytical, quantitative disciplines of macroeconomics, microeconomics, economics, econometrics, finance and accounting. The IMSQE programme aims at recruiting candidates within quantitative economics and management internationally in competition with leading institutions such as London School of Economics, Oxford University and Cambridge University.

Candidates completing the IMSQE programme will acquire analytical skills at a very high level which are in increasing demand. Potential future employers of the candidates are Danish as well as international organisations, consulting firms, ministries and government agencies, and financial institutions such as commercial banks, mortgage institutions, pension funds, insurance companies and investment banks. Furthermore, the IMSQE programme provides an excellent opportunity for candidates to continue their studies at PhD level. For students who wish to continue in the PhD programme, a special transitional arrangement will be provided to bridge the transition from the IMSQE programme to research training.

PROGRAMME STRUCTURE

General Content
The IMSQE programme is a two-year, full-time programme of instruction corresponding to 120 ECTS credits within the areas of macroeconomics, microeconomics, economics, econometrics, finance and accounting. The courses in the IMSQE programme consist of a mixture of regular MSc courses with a quantitative orientation and PhD courses offered through the PhD programme in economics and management. Furthermore, there are special requirements regarding the level and qualitative contents of written assignments, and particular emphasis will be put on the students’ analytical, quantitative skills.

Besides the courses constituting the formal programme of study, the students are expected to take a number of special, intensive courses at the PhD level offered through various network programmes like the Danish Graduate Programme in Economics (DGPE) and the Danish Doctoral School of Finance (DDSF). Further, a Summer School will be organized in August between the first and second year, where the students must attend lectures for two weeks and prepare a written report.

A personal academic advisor - or mentor - from the faculty associated with the programme will be appointed to each student in the IMSQE programme. The advisor will assist the student in putting together the individual study programme.

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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. Read more

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:

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Compulsory courses

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Statistics and Data Analysis
  • Linkage and Association in Genome Analysis
  • Research Proposal
  • Dissertation

Option courses (selected according to degree specialisation):

  • Quantitative Genetic Models
  • Molecular Evolution
  • Genetics of Human Complex Traits
  • Animal Genetic Improvement
  • Functional Genomic Technologies
  • Molecular Phylogenetics
  • Bioinformatics
  • Evolutionary Quantitative Genetics

Career opportunities

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.



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The Master Quantitative Finance will provide you with an excellent academic and practical education to become an expert in financial methodology. Read more
The Master Quantitative Finance will provide you with an excellent academic and practical education to become an expert in financial methodology. It is your ideal starting point for a future career in today’s challenging and dynamic financial markets.

Visit the website: https://www.wu.ac.at/en/programs/masters-programs/quantitative-finance/overview/

Course detail

The well-balanced curriculum builds strong quantitative skills combined with a solid knowledge base of the underlying theory of finance. Students acquire the necessary knowledge and skills to use mathematical models to understand complex financial problems.

A special focus lies on using the software 'R', an open source implementation of the language S for data analysis and visualisation. Students benefit from the expertise of the programs' faculty, which is strongly involved in the international development community of R.

Specialize in Science or Industry

The Science Track prepares students for an academic career in the field of finance, while the Industry Track focuses on a career as quants (analysts) in the finance industry, combining financial models with computational skills. You can specialize in the second year of your studies. In both tracks you will benefit from working together with our experienced faculty and from their strong academic networks and links to the finance industry.

A truly international program

The Master Quantitative Finance attracts students from many places around the world which gives you the chance to experience a unique educational culture. The courses of the program have an international orientation and provide all the necessary knowledge and skills to start an international career.

An exclusive, high-quality post-graduate education

Only the best applicants can join the program. An important part is learning in small groups which offers many possibilities to be in contact with and get support from the faculty – both inside and outside the classroom.

Career Prospects

Graduates of the Master Quantitative Finance are qualified to be tomorrow's experts in the increasingly complex world of finance, e.g. in:

- asset management

- credit and market risk management

- treasury and trading

- financial engineering

- research and technical analysis

- corporate finance

Graduates also qualify for a relevant Doctoral or PhD program. Students who want to pursue an academic career are strongly encouraged to choose the Science Track to be well qualified.

How to apply: https://www.wu.ac.at/en/programs/masters-programs/quantitative-finance/application-admission/

Funding

Information on funding can be found at the following webpage: https://www.wu.ac.at/en/students/my-degree-program/masters-student-guide/grants-and-scholarships/

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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. Read more

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.

About The Course

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.



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Using data science to retrieve hidden information. The need for quantitative support for operational and strategic decisions is ever-increasing. Read more

Using data science to retrieve hidden information

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.

How many reasons do you need?

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.

Careers

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:

  • ACNielsen, GfK, KPN, Unilever and Bol.com
  • smaller specialised consultancy firms
  • financial institutions like banks or insurance companies
  • academia

Such a position is also excellent stepping stone for a senior research or management position at similar corporations and institutions.

 

"Obtaining relevant information from very large and complex datasets to support accurate decision-making gives me a kick"

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.



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Who is it for?. 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. Read more

Who is it for?

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.

Objectives

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.

Structure

  • You will have gained a good understanding of the technical aspects used in financial markets, starting from the financial theory, looking at different financial instruments and showing various applications of the theoretical concepts.
  • You will gain a good understanding of stochastics, mathematical finance and econometrics as well as some programming.
  • You will also obtain a very good understanding of different financial assets, in particular derivatives, and how they can be used in different context, such as risk management, asset management or structuring
  • You will have three different possibilities to complete your degree in the third term, including writing a dissertation or an applied project. You can also opt to gain all the credits through taught electives.
  • Popular electives include Behavioural Finance, Trading and Hedging in the FOREX Market, Technical Analysis, Hedge Funds or Python.

Assessment

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:

  • nine core courses (Eight at 15 credits each, one at 10 credits)

and either

  • five electives (10 credits each)
  • three electives (10 credits each) and an Applied Research Project (20 credits)
  • one elective (10 credits) and a Business Research Project (40 credits)

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.

Induction weeks

The MSc in Quantitative Finance starts with two compulsory induction weeks, mainly dedicated to:

  • an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.
  • a refresher course of advanced financial mathematics, statistics, computing and electronic databases

Career pathways

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.



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Start of programme. November / February / April / June / August. Mode of Attendance. Distance Learning. Read more
Start of programme: November / February / April / June / August

Mode of Attendance: Distance Learning

The MSc Finance (Quantitative Finance) has been created principally for postgraduates whose work in banks and other financial institutions requires a knowledge of statistical (particularly econometric) and quantitative approaches to risk and derivatives. It is particularly suitable if you have a first degree in engineering, applied science, applied mathematics, economics, or similar subjects, but is also suitable for others with quantitative skills.

Find out more:
To find out more about this programme, including module details, fees and entry requirements, please visit the MSc Finance (Quantitative Finance) section of the Centre for Financial and Management Studies website (http://www.cefims.ac.uk/cgi-bin/programmes.cgi?func=programme&id=42).

Visit the website https://www.soas.ac.uk/cefims/programmes/mscfinanceqf/

Structure

You will choose five core modules.

Derivatives
Econometric Principles & Data Analysis
Econometric Analysis & Applications
Financial Econometrics
Modelling Firms & Markets
Risk Management: Principles & Applications

You will also choose three modules from the list of elective or core modules.

Banking & Capital Markets
Bank Regulation & Resolution of Banking Crises
Corporate Finance
Corporate Governance
Finance in the Global Market
International Finance
Macroeconomic Policy & Financial Markets
Microeconomic Principles & Policy
The International Monetary Fund & Economic Policy
Research Methods
Dissertation

To find out more about this programme, including module details, please visit the MSc Finance (Quantitative Finance) section of the Centre for Financial and Management Studies website (http://www.cefims.ac.uk/cgi-bin/programmes.cgi?func=programme&id=42).

Teaching & Learning

The MSc is made up of eight modules. Each module is studied in eight-week sessions. You can only take one module at a time, but each module is typically available in at least two of the year's study sessions. This gives you the flexibility to plan how you study during the year, enabling you to fit your study in with your professional, family and personal commitments.

You will be individually assigned an online academic tutor for the duration of each module with whom you can discuss academic queries at regular intervals during the study session. You will also have a named administrator providing you with help and advice throughout your studies.

Before the start of each module you have enrolled on, you will be sent a package containing all of the study materials that you need to complete the module – the core text, textbooks, a collection of key articles, and any module related software.

To make your experience as a distance learning student more complete and rewarding, we provide access to the Virtual Learning Environment, which is a web-accessed learning environment. Via the VLE, you can communicate with your assigned academic tutor, administrators and other students on the module using discussion forums. The VLE also provides access to the module Study Guide and assignments, as well as a selection of electronic journals available on the University of London Online Library.

For each module, you will sit a three-hour examination, held on a specified date in September/October, and complete two assignments during the module study session. Assignments are submitted and feedback given online. Examinations and assignments are weighted 70:30.

For more information about studying with us, please visit the Frequently asked questions section of the Centre for Financial and Management Studies website (http://www.cefims.ac.uk/apply/faqs.shtml).

Scholarships

For further details and information on external scholarships visit the Scholarships section (http://www.soas.ac.uk/registry/scholarships/)

Employment

As a graduate of this programme you will be well prepared for senior research and other positions in banking, fund management, consultancy, central banks and international bodies.

Find out how to apply here - http://www.cefims.ac.uk/apply/

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Our Quantitative Finance and Risk Management MSc will develop your understanding of generalist finance issues. You'll also develop specialist practical skills in quantitative methodology and risk management. Read more
Our Quantitative Finance and Risk Management MSc will develop your understanding of generalist finance issues. You'll also develop specialist practical skills in quantitative methodology and risk management.

Worldwide growth in the financial services sector has fuelled the demand for graduates with a sound understanding of generalist finance issues, combined with specialist skills in quantitative methodology and risk management. This course meets this demand. It builds on the Business School’s established strengths in economics and finance.

The course advances your understanding of the:
-Role of finance in a modern economy
-Operation and behaviour of financial markets and investors
-It will enable you to develop a career in the financial services sector. It will also suit future quantitative analysts in economics and finance.

What you'll learn

This course will provide opportunities for you to develop relevant skills and a practical understanding of:
-The behaviour of international financial markets
-The ability to analyse the strategies of financial market investors
-The role of finance in a modern economy

Advanced software

Where possible you will have access to advanced statistical software including:
-Eviews
-SPSS
-Stata
-Gauss
-MATLAB
-SAS
-Maple
-Minitab

You will also have access to a number of financial databases including:
-Bloomberg
-Thompson Financial's DataStream
-Fame
-Amadeus
-WRDS
-Compustat
-CRSP
-Oriana

Your development

On completion of this course, you will be able to demonstrate practical skills and the ability to:
-Deal with complex issues both systematically and analytically
-Use this analysis to make sound judgements
-Deploy advanced analytical techniques in the areas of finance and risk management
-Critically assess the quality of the analytical data generated by these techniques
-Synthesise and present relevant data, conclusions and recommendations to both specialist and non-specialist audiences
-Apply the knowledge, skills and understanding gained on the programme to complex issues within finance and related industries

Career focus

The course will suit those wanting to develop a career in the broad financial services sector. It is particularly relevant to a career as a quantitative analyst in the investment banking and risk management fields.

Graduates from this course have undertaken various roles including:
-Senior Associate Chartered Accountant
-Financial Trader
-Auditor
-Risk Analyst
-Economist
-Financial Analyst
-Investor Relations Advisor

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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. Read more

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.

Course Details

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.

CORE MODULES:

Semester 1

Approaches to Social Research (20 CATS)

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.

Theory and Debates in Social Research (20 CATS)

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 Sources and Construction of Qualitative Data (10 CATS)

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 Sources and Construction of Quantitative Data (10 CATS)

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

Semester 2

Qualitative Data Analysis (10 CATS)

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.

Quantitative Data Analysis: Foundational (10 CATS)

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.

Quantitative Data Analysis: Intermediate (10 CATS)

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.

Dissertation (60 CATS)

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.

OPTIONAL MODULES (all 10 CATS)

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.

  • Advanced Qualitative Research Methods
  • Social Science Research Online
  • Visual Research Methods
  • Longitudinal Analysis
  • Advanced Quantitative Research Methods
  • Conflict and Change in Northern Ireland: New Sociological Research
  • Researching Emotions and Social Life
  • University Research and Civil Society Organisations


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