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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 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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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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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.

There are ten bursaries available each worth £14,388 for 2017-18 entry (deadline 3 July 2017). For full details please see our scholarships and bursaries pages: http://www2.mmu.ac.uk/hlss/courses/scholarships/aqmbursaries/

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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Alliance Manchester Business School and the School of Mathematics have combined their academic strength and practical expertise to deliver the MSc Quantitative Finance course. Read more
Alliance Manchester Business School and the School of Mathematics have combined their academic strength and practical expertise to deliver the MSc Quantitative Finance course.

Ensuring that the mathematics element is accessible, the programme offers a good balance between mathematics and finance. They are particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics, 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.

The course provides an advanced knowledge and understanding of the main theoretical and applied concepts in quantitative finance and financial engineering, delivered from a genuinely international and multicultural perspective, and with a `current issues' approach to teaching. The course is particularly useful for careers that involve designing new financial instruments and managing trading in them.

CFA training
We're pleased to announce that we have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams. Students attending our finance-related Masters - MSc Accounting, MSc Accounting and Finance, MSc Finance, MSc Finance and Business Economics and MSc Quantitative Finance - 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. Kaplan is a global firm offering professional training and helping individuals and organisations obtain financial certifications and designations. They will support our students by giving them access to tuition material, online question banks and progress tests, as well as mock exam runs. They will also offer tutor support and 1-2-1 sessions.
Students enrol in the CFA Program to build a strong foundation of advanced investment analysis and real-world portfolio management skills. Preparing for the Level I exam is the first step toward earning the Chartered Financial Analyst ® (CFA) credential, the most respected and recognised investment designation in the world.

Trading BootCamp Week
Each year, Alliance MBS runs a five-day Trading BootCamp for all current students studying MSc Accounting, MSc Accounting and Finance, MSc Finance, MSc Finance and Business Economics and MSc Quantitative Finance. These trading simulations provide students with experience of real world trading and the opportunity to engage with contemporary financial markets, enabling them to apply their classroom theory in practice. To deliver the Trading BootCamp, the School has teamed up with Amplify Trading to provide those looking to enter the financial industry with a crucial skill-set. Amplify Trading are a global financial trading and training firm, which offers training to some of the world's largest financial institutions, such as HSBC, Citigroup and Deutsche Bank. They have developed specialist software that enables students to experience a live trading floor and two experienced traders will deliver the week-long training.
Each day there will be four hours of classes in the morning followed by four hours of trading practice in the afternoon. Engaging in live breaking news, economic data and geo-political events, students will be able to apply their understanding, technical expertise and risk management practises in trading different asset classes. This is a fantastic opportunity for accounting and finance students at Alliance MBS and is another way in which we prepare students for successful careers after graduation.

Library Services
The Eddie Davies Library Finance Zone in Alliance Manchester Business School gives you access to one of the UK's most comprehensive collections of specialist financial and business databases that are used by top researchers around the world. These include Bloomberg, Datastream, Thomson ONE, Compustat, WRDS, Capital IQ and many more.

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.

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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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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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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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The revolution in genetic mapping technology and the advent of whole genome sequences have 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 have turned quantitative genetics into one of the fastest growing areas of biology.

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.

This programme forms part of the quantitative genetics and genome analysis suite of programmes offering specialist routes, which include Animal Breeding & Genetics and Evolutionary Genetics.

Programme structure

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

Courses are taught via lectures, tutorials, seminars and computer practicals. Assessment is by written examinations, in-course assignments and project work.

Compulsory courses:

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Linkage and Association in Genome Analysis
  • Genetics of Human Complex Traits
  • Quantitative Genetic Models
  • Statistics and Data Analysis
  • Research Project Proposal
  • Dissertation.

Option courses:

  • Molecular Phylogenetics
  • Bioinformatics
  • Molecular Evolution
  • Quantitative Genetic Models
  • Functional Genomic Technologies
  • Animal Genetic Improvement
  • Evolutionary Quantitative Genetics

Learning outcomes

You will gain the knowledge and skills required to apply quantitative genetics theory to practical problems in the biomedical industry, and to undertake research in quantitative and population genetics and genome analysis.

  • A thorough understanding of general concepts in population and quantitative genetics and genomics
  • In-depth knowledge of complex trait genetics in humans
  • A solid grounding in the statistical methods required for quantitative biology
  • Development of independent research skills through individual mini- and maxi-research projects
  • Development of generic skills (IT skills, experience in writing scientific papers, the ability to work independently)
  • Presentation skills through student seminars, scientific presentation of project work and independent research projects.

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 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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