Quantitative Finance is the quantitative analysis of financial markets and decision-making using statistics and mathematical tools of physics, computer science, and engineering.

Risk Analytics is the application of computational technologies, statistics, and operations research to solve problems of risk assessment and management in finance and business. As global markets become more complex and interdependent, the importance of “quants,” or managers who know how to use quantitative models to understand markets, is growing.

Earn your master’s degree as part of an international network of 19 leading business schools and corporate partners committed to developing global talent with strong quantitative competencies, analytical skills, international and intercultural experience, and management potential.

If you are looking for a master’s degree with global reach and an emphasis on the quantitative and analytical skills in demand by employers, the MSc in Business with the QTEM Master Network is the degree for you. You can choose to major in Finance or Economics plus complement this knowledge with skills and competencies in Finance and Risk Management, Applied Economics and Public Policy, Business Intelligence and Big Data, or Innovation and Strategy.... [-]

Professionals who can understand real-world problems and provide objective results using mathematical analysis are in constant demand in the United States and around the world. Our MS in Quantitative Economics blends mathematics, economics, and business to develop in-depth analytical, statistical, and computational skills you can apply to macro-labor economics, public finance, monetary policy, financial economics, market design, and more.Classes are held in midtown Manhattan, giving you easy access to professional networking opportunities in some of the world's most prominent companies.

Our unique quantitative focus will help you distinguish yourself from others in business, real estate, government, consulting, and NGOs. We teach... [-]

Gain in-depth knowledge of finance and the experience employers want.

The Master of Science in Applied Quantitative Finance from the Reiman School combines the in-depth study of finance theories and principles with advanced technologies, communication, and teamwork with a strong focus on ethics and values. You will develop financial models with integrated classroom experience and apply your newly learned skills immediately. We will challenge you to think, not memorize. We believe in learning by doing, practicing and perfecting.

The Daniels Master of Science in Applied Quantitative Finance is a STEM (Science, Technology, Engineering, and Math) degree according to the Department of Homeland Security (DHS). The DHS expanded list includes designated degrees that qualify for up to 17 months Optional Practical Training (OPT) Extension for F-1 Nonimmigrant Students.... [-]

SMU MQF by coursework provides a pathway to equip students with the knowledge to tame the risk while staying on the top of the game. It offers a unique learning journey in the realm of stochastic processes, Ito’s calculus, risk analytics, pricing and hedging, and quant trading.

The courses are conducted at Lee Kong Chian School of Business, SMU and Cass Business School, City University London – two business schools located right in the heart of the cities where the financial districts are buzzing with opportunities and where a new generation of quant professionals is needed to make a difference in the financial industry. At the end of the journey, when all the rigorous tests are cleared and when the tale of two cities is storied, a master’s degree in quantitative finance will be awarded jointly by SMU and City University London.... [-]

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. 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 visualization. Students benefit from the expertise of the programs' faculty, which is strongly involved in the international development community of R.... [-]

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 (see entry requirements ), as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.

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 to trade in them.... [-]

Globally, financial tools, products, and software are becoming increasingly complex and sophisticated. There's a demand for market-aware graduates who can demonstrate an understanding of mathematical models used in these products.

The MSc in Quantitative Finance – an innovative cross-faculty alliance between the Strathclyde Business School and the Faculty of Science – has been developed to address this need. The course has been designed so that students who have a strong aptitude for mathematics, statistics, and computing but who have not studied these topics in detail in their first degree can learn the necessary skills to move into the financial industry.

Finance looked at from an econometric angle

Do you have strong mathematical skills and do you want to put them to use in the world of finance? Are you looking forward to tackling global issues like the stability of the financial system and solve issues with regard to, for example, risk management and asset allocation? The Quantitative Finance programme covers all main areas of finance that require mathematical econometric techniques.

The programme is highly interactive and brought to you by practicing researchers that are involved in prestigious research projects and active advisors in the sector. Their teachings are based on the latest insights and focus on the econometric and quantitative skills to solve poignant financial issues, especially in areas like portfolio and risk management.... [-]

The International Master of Science in Quantitative Economics (IMSQE) is an elite programme at the Department of Economics and Business Economics at Aarhus BSS. Students tailor their own study programme on the basis of a range of advanced courses with a quantitative orientation, including selected PhD-level courses. The programme requires strong analytical skills in quantitative methods, and there are special requirements regarding the level and qualitative content of written assignments. A particular emphasis is placed on the students’ analytical and quantitative skills.

The study programme Quantitative Economics (MSQE), which is taught in English, offers analytical and quantitative training that is closely linked to the PhD programmes offered by the Graduate School of Economics, Finance, and Management. Students can choose from four study areas:

In each of the study areas, students learn how to examine major economic questions and achieve scientifically based results using the concepts and methods they have acquired. Graduates of the MSQE programme can either continue their research with a dissertation in one of the PhD programmes of the Graduate School of Economics, Finance, and Management or start a challenging career in the field of economic policy, or the financial or marketing sector.... [-]

Duration: 2-5 years

Start of programme: November/February/April/June/August

Mode of Attendance: Online 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.

You will study five core modules.

Following an academic review the structure of the M.Sc. in Quantitative Finance has changed and will now be a two-semester course consisting of 10 modules along with a summer dissertation. The MSc in Quantitative Finance from UCD Smurfit School trains you to use your quantitative talents to the full.

What is the programme about?

The MSc in Quantitative Finance is a balanced programme of finance and computational methods, which will suit numerate, competitive students looking for careers in finance that stretch their quantitative talents.

Objectives

We aim to give you the knowledge and skills to develop quantitative security pricing models and trading strategies. These will help you manage portfolios of equity, fixed income and derivative securities. You will also develop the tools for managing corporate financial risk.... [-]

General description

The program combines high-level academic teaching and research in quantitative finance with problems taken directly out from the private banking and finance sector. A special feature of the program is the combination of lectures on financial economics with lectures on mathematical methods in finance (probability theory, statistics, numerical analysis).

The curriculum contains mandatory courses dedicated to the theory, the concepts and methods of Corporate Finance, Financial Markets, Financial Economics, Derivatives and Financial Engineering, Financial Econometrics and Mathematical Methods for Finance; further, each participant can follow specialized courses from the areas of Risk Management and Asset Management. Finally, the required Master Thesis serves to ensure the ability of the graduates to do autonomous scientific work for solving a relevant problem for the finance community.... [-]

Globally, financial tools, products and software are becoming increasingly complex and sophisticated. There's a demand for market-aware graduates who can demonstrate an understanding of mathematical models used in these products.

The MSc in Quantitative Finance – an innovative cross-faculty alliance between the Strathclyde Business School and the Faculty of Science – has been developed to address this need. The course has been designed so that students who have a strong aptitude for mathematics, statistics and computing but who have not studied these topics in detail in their first degree can learn the necessary skills to move into the financial industry.

This course will prepare you for a career in financial engineering and risk management. Careers include roles as a hedge fund manager or financial analyst.... [-]