1, Master of Financial Mathematics
The MSMF project of Rutgers University combines the theoretical basis of quantitative finance with practical application. The core courses are jointly taught by the School of Mathematics, Statistics and Computer Engineering. Business schools and schools of computer science, economics, systems engineering and operational research all offer elective courses.
Graduates can enter investment banks, hedge fund companies, asset management companies, financial software data companies and insurance companies, mainly engaged in financial modeling, software development, marketing, operational risk management, asset evaluation, trading counter support and portfolio management.
North Trading magazine listed the project as the top ten in North America, and US News and World Report magazine listed the project as the top 20 mathematics department projects in the United States.
The project was established in the autumn of 2006, with three graduation times each year, namely 1 month, May and1month. In 2007 and 2008, 100% of the graduates were employed in the financial industry. Except for one graduate in 2009, all of them got the admission notices from financial industry companies after graduation. 10 As of the statistical date, 1 month graduates 100%, 96% of the graduates in May were successfully employed in the financial industry. Companies that enroll students in this program include Bank of America, Merck, Mellon Bank, Morgan Stanley Investment Company Bloomberg Information, etc.
2. Master of Quantitative Finance.
This is a science that combines mathematics and finance. The contents of study and research mainly include the pricing of securities derivatives, risk analysis, financial model, financial information analysis and some advanced financial theories.
Financial managers and other professionals are playing an increasingly important role in joint ventures, mergers, global expansion and financing. Their rich professional knowledge can help enterprises reduce risks and maximize benefits. The role of these professionals also changes with the progress of science and technology. Nowadays, financial personnel do more analytical work, directly participate in top management decisions, and maximize benefits.
Course Design of MQF Project of Master of Quantitative Finance in Rutgers University;
Core courses include: applied stochastic process, econometrics, financial institutions and markets, financial modeling 1, financial modeling 2, career planning foundation, introduction to finance, introduction to probability, investment analysis and management, microeconomics, numerical analysis, financial target planning 1, financial target planning 2, financial execution investigation modeling.
Elective courses include: advanced econometrics, advanced financial management, term bond analysis, applied portfolio management, credit derivatives, empirical finance, financial management, financial statement analysis, international capital market, investment banking, portfolio management and risk management.
It can be seen that the courses involved in this project include finance, economics, mathematics, statistics, management, computer science and other disciplines. The MQF program of Rutgers University is established for complex technical and professional disciplines. Through the study of MQF project, students can combine mathematical skills with financial knowledge. At the same time, real industry experience projects guided by experts and professors are set up in the course. The various abilities acquired by interdisciplinary training will be the main employment competitiveness of graduates of this project.
3. Master of Finance Statistics and Risk Management
The project was officially launched on June 6, 20 10+ 12, and students were enrolled in the autumn of 201/kloc-0. A new project set up by the Institute of Statistics aims to cultivate students' ability to handle the work of banks and financial institutions by using statistical methods, data analysis tools and computer processing methods. Students in this major will be trained in probability, statistical methods, calculation methods and financial and economic related subjects. Graduates will have a deep understanding of the uncertainty and statistical characteristics of financial markets, and have statistical calculation skills and risk assessment capabilities.
Its courses cover a wide range, including probability theory, statistical methods, calculation methods and other courses related to finance and economics. Graduates will have a deep understanding of the uncertainty, financial risks and statistical characteristics of financial markets. In terms of financial data analysis and risk assessment, their statistical and computational abilities will be greatly developed, and the communication and leadership skills necessary for successful financial statistical analysis and risk management will also be the abilities acquired by students after graduation.
Different from the traditional quantitative financial project, the main features of this project are the teaching of statistical methods and the training on how to apply a large number of emerging advanced statistical tools in the financial industry. This program is designed for undergraduates in mathematics, statistics, engineering, computer science, economics, finance and related fields.
The person in charge of the FSRM project said: Students in the FSRM program are likely to find jobs as financial statisticians or risk managers after graduation. Students interested in mathematical modeling and stochastic differential equations can consider MSMF project. Students who want to be financial managers are suitable to choose MQF project. The FSRM program is suitable for students who are interested in statistical methods, analyzing large financial databases, identifying statistical arbitrage opportunities, self-management statistics and risk management.
There are also similarities between these three projects. FSRM, MQF and MSMF*** enjoy many resources, including courses, financial data and practical activities. Their respective students may have the opportunity to meet and cooperate during their study and even during their work. For example, for three statistics courses specially designed for MSMF students, the school also provides extra class hours for MQF and FSRM students to choose from.
Requirements for applying for a master's degree in finance at Rutgers University:
Report cards of all post-high school education. Send it directly from the school to Rutgers University, and the transcript needs to be stamped by the school. )
GRE: Only GRE scores are accepted, not GMAT scores. The quantitative score is above 750, and the oral score is above 500 (non-English native speakers need to score above 400). No special grades are required, but they can be submitted.
TOEFL: score above 2 13 in computer test and 550 in written test. The online test score is above 83, including 22 for writing, 23 for speaking, 2 1 for reading and 0/7 for listening. This grade is valid for two years. The minimum score limit will fluctuate according to the applicant's situation.
IELTS: 7 or above.
The above is the introduction and application conditions of the master of finance program of Rutgers University in the United States launched in 1986, hoping to help students.