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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 190 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 MSc in Quantitative Finance develops sophisticated statistical, programming and economic skills for roles in areas such as quantitative asset management and risk management. Read more
The MSc in Quantitative Finance develops sophisticated statistical, programming and economic skills for roles in areas such as quantitative asset management and risk management.

The MSc in Quantitative Finance will equip you with a rigorous understanding of the theory behind asset pricing, fixed income securities and risk management, supported by solid knowledge of numerical analysis and programming languages; special emphasis is on econometric techniques as forecasting and market microstructure analysis.

Typical career paths of graduates from our MSc in Quantitative Finance include research positions (in both financial and academic institutions), or roles involving the assessment of market microstructure across a number of exchanges, stress testing/scenario analysis, development and improvements of asset allocation models and analysis of potential investment vehicles across different asset classes, such as Hedge Funds Risk Analyst, Financial Analyst and Asset Allocation Analyst.

The demand for recruits with strong quantitative skills has spread beyond the pure derivatives area, and graduates from the course move into a range of careers in the financial sector. Cass's proximity to the City of London helps graduates to access outstanding career opportunities, especially as Cass has close links with many City institutions.

Visit the website: http://www.cass.city.ac.uk/courses/masters/courses/quantitative-finance

Course detail

There are two Induction Weeks The Quantitative Finance course starts with two compulsory induction weeks, focused on:

• 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 reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

Format

To satisfy the requirements of the degree programme students must complete:

• eight core courses (15 credits each)
and
• two additional core modules plus three electives (10 credits each)
or
• three electives (10 credits each) and an Applied Research Project (20 credits)
or
• one elective (10 credits) and a Business Research Project (40 credits)

Assessment

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.

Career opportunities

Although investment and hedge funds remain the biggest users and innovators in quantitative finance, other financial sectors such as commercial banking, insurance and fund management are now keenly interested. Fund managers and hedge funds, for example, make extensive use of quantitative techniques to develop trading strategies, optimise portfolios and assess risk.

Some examples of where graduates from the MSc in Quantitative Finance class of 2014 are working are:

• Capita Asset Services - Analyst
• RBS - Graduate Risk Analyst
• Dong MeKong Construction Manufacture and Trading - Project Assistant
• nPOWER - Quant Risk Analyst

How to apply

Apply here: http://www.city.ac.uk/study/postgraduate/applying-to-city

Funding

For information on funding, please follow this link: http://www.city.ac.uk/study/postgraduate/funding-and-financial-support

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The Quantitative Research Methods MSc gives students a broad training in social science research methods, with an emphasis on the quantitative methods most relevant in an academic or policy context. Read more
The Quantitative Research Methods MSc gives students a broad training in social science research methods, with an emphasis on the quantitative methods most relevant in an academic or policy context.

Degree information

There are two routes through the programme: a Policy Analysis pathway, introducing students to statistical analysis and building on this to develop quantitative skills in the analysis of policy; and an Education pathway, which assumes a basic knowledge of statistics and builds on this with an emphasis on the economics of education.

This degree currently runs in blocks of two days per module leaving you plenty of time between modules for further reading and assignments

The programme consists of three core modules (90 credits), two optional modules (60 credits) and a report (30 credits).

Core modules - students choose one of two pathways through this programme: Education or Policy Analysis.
-Impact Evaluation Methods
-Statistical Analysis (Policy Analysis pathway)
-Longitudinal Research and Analysis (Policy Analysis pathway)
-Economic Perspectives on Education Policy (Education pathway)
-Quantitative Analysis 2 (Education pathway)

Optional modules - students take two of the following optional modules:
-Education and Development in Asia
-Educational Testing
-Longitudinal Research and Analysis
-Quantitative Analysis 1
-Quantitative Analysis 3
-Social Policy: Theory, Practice and Research
-Systematic Reviews for Policy and Practice
-Understanding Education Policy

Dissertation/report
All students undertake an independent research project which culminates in a report of 10,000 words.

Teaching and learning
This programme is delivered via face-to-face daytime and evening sessions. Assessment is through coursework assignments and a 10,000-word report.

Careers

Graduates of this Master's degree are currently working as:
-University and college lecturers and researchers
-Civil servants
-Third sector employees
-Teachers
-Journalists
-Social researchers
-Market researchers

Employability
Quantitative skills are in demand and there are a range of professions seeking students with quantitative social science degrees including government departments, academia, journalism, financial analysis for banks and marketing.

Why study this degree at UCL?

UCL Social Science is a research intensive department with world leading experts in quantitative methodology and a broad range of social science subjects. We have a lively community of staff, PhD, MSc and undergraduate students, involved in seminars, workshops and reading groups in addition to formal teaching which you will be free to join.

One of the department’s many specialisations is in applying quantitative methods to data to inform policy on education, health, labour markets, human development and child/adult wellbeing.

The department’s staff have a broad range of interests, which includes expertise in economics, sociology, psychology, social statistics, survey methods and data collection, mixed-methods research, and the techniques of policy evaluation.

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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 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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Our course provides the opportunity to develop an understanding of generalist finance issues. You'll develop specialist practical skills in quantitative methodology and risk management. Read more

Course overview

Our course provides the opportunity to develop an understanding of generalist finance issues. You'll develop specialist practical skills in quantitative methodology and risk management. This allows you to develop a career in the financial services sector. It will also suit future quantitative analysts in investment banking and risk management fields.

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

The Quantitative Finance and Risk Management MSc 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, an understanding of the role of finance in a modern economy.

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.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/quantitative-finance-risk-management-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/quantitative-finance-risk-management-msc/#howtoapply

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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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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

Programme description

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:

Animal Breeding and Genetics
Evolutionary Genetics
Human Complex Trait Genetics

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
Either Bioinformatics or Molecular Phylogenetics

Option courses (selected according to degree specialisation):

Quantitative Genetic Models
Molecular Evolution
Genetics of Human Complex Traits
Animal Genetic Improvement
Evolution and Climate Change
Functional Genomic Technologies

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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Master’s Degree in Quantitative Finance and Risk Management draws on the recognized excellence of our engineering school in quantitative finance, and makes great use of the collaborations with the Universities of Paris-Dauphine and Cergy-Pontoise. Read more
Master’s Degree in Quantitative Finance and Risk Management draws on the recognized excellence of our engineering school in quantitative finance, and makes great use of the collaborations with the Universities of Paris-Dauphine and Cergy-Pontoise. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of finance. This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and Research.

Objective

This Master’s degree covers the whole chain of quantitative finance, from theoretical aspects to the application in a professional setting. The chain can be described as follows:
o Description of the market and financial products
o Mathematical models of finance
o Mathematical models of risk
o Numerical resolution: computer-aided simulation
o Calibration and asset evaluation

Specific details of the Master:
o The Master came from the Financial Engineering option (IFI) taught at the ESITI for the last 13 years (all students from the option have found work as soon as their compulsory internships finished, and have an average salary 20% higher than the norm in this sector).
o In and of itself, the Master is intrinsically international.
o The theoretical teaching of this Master is very thorough, covering everything needed to know in the associated professions. As a consequence, the students are very adaptable within the work market.
o The Master offers a 3-skilled approach, in Computer Science, Mathematics and Finance.

Practical information
The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1316 hours (646 hours in M1 and 670 hours in M2). The semesters are divided as follows:
o M1 courses take place from September until June and count for a total of 60 ECTS
o M2 courses take place from September until mid-April and count for a total of 44 ECTS
o A five-month internship (in France) from mid- April until mid- September for 16 ECTS. Usual indemnities are around 1000 € per month.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

Organization

M1 modules are taught from September to June (60 ECTS, 646 h):
• Mathematics
• Measure and Integration (2 ECTS, 20 h)
• Functional Analysis (3 ECTS, 30 h)
• Stochastic Processes-Discrete/Continuous Time (5,5 ECTS, 55 h)
• Optimization (2,5 ECTS, 30 h)
• Jump Processes and Application (3 ECTS, 30h)
• Partial Differential Equations (3 ECTS, 30 h)
 Calibration, Simulation and Numerical Analysis
• Monte Carlo Simulations (3 ECTS, 30 h)
• Finite Difference Methods (2,5 ECTS, 25 h)
• Calibration of Financial Models (2 ECTS, 20 h)
• Bloomberg trading room (3ECTS, 30h)
• C++ and Object Oriented Design (2 ECTS, 20 h)
• VBA Programming (3 ECTS, 30 h)
• Interdisciplinary Project (5 ECTS, 5 h)
 Finance and Insurance
• Introduction to Quantitative Finance (3 ECTS, 25 h)
• Risk Management in a mono-period Financial Market & Derivatives (4 ECTS, 40 h)
• Contingent Claims Valuation (3 ECTS, 30 h)
• Portfolio Management and Financial Risks (3 ECTS, 30 h)
• Mathematics Applied to Insurance (3 ECTS, 30 h)
• French as Foreign Language
• French as Foreign Language (4,5 ECTS, 96 h)

M1 modules are taught from September to June (60 ECTS, 646 h):
• Mathematics
• Measure and Integration (2 ECTS, 20 h)
• Functional Analysis (3 ECTS, 30 h)
• Stochastic Processes-Discrete/Continuous Time (5,5 ECTS, 55 h)
• Optimization (2,5 ECTS, 30 h)
• Jump Processes and Application (3 ECTS, 30h)
• Partial Differential Equations (3 ECTS, 30 h)
• Calibration, Simulation and Numerical Analysis
• Monte Carlo Simulations (3 ECTS, 30 h)
• Finite Difference Methods (2,5 ECTS, 25 h)
• Calibration of Financial Models (2 ECTS, 20 h)
• Bloomberg trading room (3ECTS, 30h)
• C++ and Object Oriented Design (2 ECTS, 20 h)
• VBA Programming (3 ECTS, 30 h)
• Interdisciplinary Project (5 ECTS, 5 h)
• Finance and Insurance
• Introduction to Quantitative Finance (3 ECTS, 25 h)
• Risk Management in a mono-period Financial Market & Derivatives (4 ECTS, 40 h)
• Contingent Claims Valuation (3 ECTS, 30 h)
• Portfolio Management and Financial Risks (3 ECTS, 30 h)
• Mathematics Applied to Insurance (3 ECTS, 30 h)
• French as Foreign Language
• French as Foreign Language (4,5 ECTS, 96 h)

M2 modules take place from September to Mid-April (60 ECTS, 670h)
• Mathematics
• Mathematical Statistics (2 ECTS, 21 h)
• Mathematical Tools in Finance (4,5 ECTS, 54h)
• Calibration, Simulation and Numerical Analysis
• Advanced Numerical Methods for PDEs in Finance(2,5 ECTS, 30 h)
• Advanced Spreadsheet Programming (2 ECTS, 24h)
• Simulations (2 ECTS, 24 h)
• Calibration (3 ECTS, 30 h)
• Theoretical and Practical Finance
• Theory of Contingent Claims (4,5 ECTS, 54 h)
• Interest Rate, Exchange and Inflation Markets (2,5 ECTS, 30 h)
• Portfolio Managment (2,5 ECTS, 30 h)
• Imperfect Markets (2 ECTS, 20 h)
• Dynamic Hedging and Risk Measures (2 ECTS, 21 h)
• Business Evaluation (2,5 ECTS, 35 h)
• Jump Processes and Applications (2 ECTS, 21 h)
• Careers and financial products (2 ECTS, 30 h)
• Practical Fixed Income Management (2 ECTS, 24 h)
• French as Foreign Language
• French as Foreign Language (4 ECTS, 72 h)
• Master's Thesis (9 ECTS, 150 h)
• Internship (22 weeks from mid-April to)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

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The quantitative psychology master’s program aims to prepare students for applied and research careers as statisticians, psychometricians, data analysts, and quantitative psychologists in education, business, government, and other organizations. Read more
The quantitative psychology master’s program aims to prepare students for applied and research careers as statisticians, psychometricians, data analysts, and quantitative psychologists in education, business, government, and other organizations. Goals are to help candidates develop research skills to keep up with recent theoretical and practical developments affecting their profession; data analysis skills used in organizations; skills related to interpretation and communication of statistical output; analytical skills for statistical decision-making; and test construction and validation skills with item response theory. The degree should give graduates an edge in their chosen career or as a Ph.D. applicant. Half of the program’s students come from other states (from Arizona to Michigan to Massachusetts to Florida) or other countries (including Canada, China, India, Japan, South Korea, Slovenia, United Arab Emirates, and Ukraine).

Career

Graduates holding a master’s degree in quantitative psychology may analyze empirical data obtained from scientific research and/or conduct scientific research on psychometrics or statistical phenomena. They also might provide program evaluation and statistical consulting services for government, businesses, hospitals, schools, and other data-collecting agencies. Other job activities could include developing and evaluating mathematical models of psychological phenomena or educational and psychological tests. About one-third of students continue on to doctoral programs in measurement, quantitative psychology, social psychology, or literacy studies. Some suggested occupations for graduates with a master’s in quantitative psychology include:

Data analyst
Marketing research analyst
Program evaluator
Psychometrician
SAS programmer
Statistician

Employers of MTSU alumni include:

Abbot Vascular
AdvanceMed
Blue Cross/Blue Shield of Arizona
Cigna Government Services
Discovery Communications
HealthStream
Healthways
Matria Healthcare
MedSolutions
MiMedx Group
Quorum Health Resources
SpecialtyCare
State of Tennessee
Tennessee Higher Education Commission
Tennessee Supreme Court
United Health Group

Doctoral programs where MTSU students were accepted include:

Georgia Tech
Middle Tennessee State University
University of California-Davis
University of Denver
University of Minnesota
University of Oklahoma
University of South Florida

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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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Do you want to develop your knowledge about society and politics, as well as honing the sharp analytical skills required by modern organisations? Our new MA draws on our considerable expertise in quantitative methods. Read more
Do you want to develop your knowledge about society and politics, as well as honing the sharp analytical skills required by modern organisations? Our new MA draws on our considerable expertise in quantitative methods.

It will develop your understanding of the innovative quantitative approaches in political science concerning data in unprecedented scales in text, image, numeric and video formats, and their impact on public policy. You’ll sharpen your communication and collaboration skills through a mixture of small group seminars, lectures and workshops, which may include mini-lectures followed by discussion, Q&A sessions, organised debates, peer presentations, policy briefs, and group work.

Our core modules will give you the key critical and technical skills to deal with (big) data. You’ll also select optional modules which may be chosen from other departments in areas including digital studies, methods, gender, media, health, governance, or human rights. You will become highly employable in areas requiring strategic decision-making or analysis, whether in academic or non-academic research, international organisations, NGOs or private companies.

More generally, you will be able to contribute to any activity involving statistics and data management, including strategic analyses and planning, auditing, marketing, research, international development and diplomacy.

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 provides students 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 two core modules (one in each academic term), Quantitative Data Analysis and Interpretation and Big Data Research: Hype or Revolution?, 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.

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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 is complemented by a 6 month period in-company.

The Specialised Programme in Quantitative Finance takes place in our campus in Paris.

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The MSc Quantitative Economic History is designed for those with a strong grounding in undergraduate economics who wish to take the first steps towards a PhD in Quantitative Economic History. Read more

About the MSc programme

The MSc Quantitative Economic History is designed for those with a strong grounding in undergraduate economics who wish to take the first steps towards a PhD in Quantitative Economic History. Although it can be taken as a standalone programme, you will need to meet certain criteria to progress through to the MRes and PhD stages of the programme.

The MSc degree aims to increase students’ methodological competencies and to assist and inform their dissertation work. Successful completion of the MSc allows progression to the MRes in Quantitative Economic History, which builds on the foundations laid in the MSc and includes substantive courses in economics and economic history and the production of a research paper in quantitative economic history, as well as a research prospectus.

Graduate destinations

Students leave the Department equipped for any profession that requires intellectual judgement, the ability to assess and analyse evidence and ideas, and good communication skills. Economic history graduates can be found in management and administration in the public and private sectors; academia; banking; journalism; economic consultancy; and library and museum services, to mention just a few.

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Today more than ever, quantitative skills form an essential basis for successful careers in ecology, conservation, and animal and human health. Read more
Today more than ever, quantitative skills form an essential basis for successful careers in ecology, conservation, and animal and human health. This Masters programme provides specific training in data collection, modelling and statistical analyses as well as generic research skills. It is offered by the Institute of Biodiversity, Animal Health and Comparative Medicine (IBAHCM), a grouping of top researchers who focus on combining field data with computational and genetic approaches to solve applied problems in epidemiology and conservation.

Why this programme

-This programme encompasses key skills in monitoring and assessing biodiversity critical for understanding the impacts of environmental change.
-It covers quantitative analyses of ecological and epidemiological data critical for animal health and conservation.
-You will have the opportunity to base your independent research projects at the University field station on Loch Lomond (for freshwater or terrestrial-based projects); Millport field station on the Isle of Cumbria (for marine projects); or Cochno farm in Glasgow (for research based on farm animals). We will also assist you to gain research project placements in zoos or environmental consulting firms whenever possible.
-The uniqueness of the programme is the opportunity to gain core skills and knowledge across a wide range of subjects, which will enhance future career opportunities, including entrance into competitive PhD programmes. For example, there are identification based programmes offered elsewhere, but most others do not combine practical field skills with molecular techniques, advanced informatics for assessing biodiversity based on molecular markers, as well as advanced statistics and modelling. Other courses in epidemiology are rarely ecologically focused; the specialty in IBAHCM is understanding disease ecology, in the context of both animal conservation and implications for human public health.
-You will be taught by research-active staff using the latest approaches in quantitative methods, sequence analysis, and practical approaches to assessing biodiversity, and you will have opportunites to actively participate in internationally recognised research. Some examples of recent publications lead by students in the programme: Blackburn, S., Hopcraft, J. G. C., Ogutu, J. O., Matthiopoulos, J. and Frank, L. (2016), Human-wildlife conflict, benefit sharing and the survival of lions in pastoralist community-based conservancies. J Appl Ecol. doi:10.1111/1365-2664.12632. Rysava, K., McGill, R. A. R., Matthiopoulos, J., and Hopcraft, J. G. C. (2016) Re-constructing nutritional history of Serengeti wildebeest from stable isotopes in tail hair: seasonal starvation patterns in an obligate grazer. Rapid Commun. Mass Spectrom., 30:1461-1468. doi: 10.1002/rcm.7572. Ferguson, E.A., Hampson, K., Cleaveland, S., Consunji, R., Deray, R., Friar, J., Haydon, D. T., Jimenez, J., Pancipane, M. and Townsend, S.E., 2015. Heterogeneity in the spread and control of infectious disease; consequences for the elimination of canine rabies. Scientific Reports, 5, p. 18232. doi: 10.1038/srep18232.
-A unique strength of the University of Glasgow for many years has been the strong ties between veterinarians and ecologists, which has now been formalised in the formation of the IBAHCM. This direct linking is rare but offers unique opportunities to provide training that spans both fundamental and applied research.

Programme structure

The programme provides a strong grounding in scientific writing and communication, statistical analysis, and experimental design. It is designed for flexibility, to enable you to customise a portfolio of courses suited to your particular interests.

You can choose from a range of specialised options that encompass key skills in:
-Monitoring and assessing biodiversity – critical for understanding the impacts of environmental change
-Quantitative analyses of ecological and epidemiological data – critical for animal health and conservation
-Ethics and legislative policy – critical for promoting humane treatment of both captive and wild animals.

Core courses
-Key research skills (scientific writing, introduction to R, advanced linear models, experimental design and power analysis)
-Measuring biodiversity and abundance
-Programming in R
-Independent research project

Optional courses
-Molecular analyses for biodiversity and conservation
-Biodiversity informatics
-Molecular epidemiology and phylodynamics
-Infectious disease ecology and the dynamics of emerging disease
-Single-species population models
-Multi-species models
-Spatial and network processes in ecology & epidemiology
-Introduction to Bayesian statistics
-Freshwater sampling techniques
-Invertebrate identification
-Vertebrate identification
-Human Dimensions of Conservation
-Principles of Conservation Ecology
-Protected Area Management
-Animal welfare science
-Legislation related to animal welfare
-Enrichment of animals in captive environments
-Care of captive animals
-Biology of suffering
-Assessment of physiological state

Career prospects

You will gain core skills and knowledge across a wide range of subjects that will enhance your selection chances for competitive PhD programmes. In addition to academic options, career opportunities include roles in zoos, environmental consultancies, government agencies, ecotourism and conservation biology, and veterinary or public health epidemiology.

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