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This program targets students with quantitative and mathematical backgrounds who have experience or interest in finance. It is very flexible, allowing students to enroll either full- or part-time depending on their schedule. Full-time students generally finish in one year, whereas part-time students can take between two or three years. The average quantitative GMAT score for accepted students was a The program has a small class size and is clearly very selective.
Commentary: This program has a strong focus on financial theory, the methods of engineering, the tools of mathematics, and computer programming. This track has a particular application to engineering methods in finance, including securities, banking, and financial management. As a student, one would be taking courses, in the first half of the program, in stochastic processes, optimization, numerical techniques, Monte Carlo simulation, and data analysis.
Courses will also include applications to portfolio theory, derivatives valuation, and financial risk analysis. In the second part of the program, one has more freedom and can take a more specialized and advanced course load involving topics like mortgage-backed securities and credit-risk modeling. The current class size is below students. Many alumni have won jobs in quantitative risk management, portfolio management, and trading.
Students will be prepared with the quantitative and theoretical skills they need for a career in finance at large Investment Banks, pension funds, hedge funds, mutual funds, and consulting firms. Commentary: MIT Sloan offers a very well structured and in-depth one-year Masters of Finance MFin program, combining quantitative methods with hands on business problem solving.
This one-year program combines study of quantitative techniques with real world business finance and mathematics with a touch of statistics. The most recently accepted class had an average GPA of 3. The class of has students. Commentary: This program has three main strengths revolving around conceptual and analytical foundations, with a heavy concentration on application, and interaction with nearby technology companies and start-ups in Silicon Valley.
The program has a heavy concentration on decision and risk analysis, dynamic systems, economics, optimization, organizational science, and stochastic systems. The average GPA accepted was a 3. This program focuses on financial economics and engineering, with a focus on computational methods as well.
Students acquire valuable quantitative skills that firms look for, like statistics, optimization, programming, and economic analysis. The end goal of the program is to give students a strong background in risk management, financial engineering and forecasting, quantitative asset management and trading, and other applied fields.
This program is very prestigious and as a result quite competitive. Out of the applicants each year, only around gain admittance. This extremely small class size is quite unique, and allows students and professors to gain more intimate relationships, and allows the program to give more individual focus towards students in regards to recruiting and job placement.
There are no testing score requirements, but the median quantitative GRE score was , while the average quantitative GMAT score was a The program takes into account mathematics background, which is required to take full advantage of many of the quantitative parts of the program.
Graduates go on to work for prestigious firms in the field of finance such as D. The curriculum has heavy emphasis on data and statistical analysis with strong focus on financial theory. This program requires a math heavy background, and as a result the accepted student population is comprised of many mathematicians, engineers, and computer scientists. The program is geared for those interested in careers in energy or commodity trading, finance, banking, asset and risk management, and consulting.
Graduates earn an average starting salary between 80k and 90k. The minimum GPA required for consideration for admission is a 3. Only the GRE is accepted, and the Quantitative score should be at least while the Verbal Reasoning score should be at least , and the Analytical Writing score should be close to Graduates from this program have the required skill set for jobs at reputable financial firms on Wall Street.
The program is generally completed in a year, but can be spread out over three semesters if desired. It helps incorporate math, statistics, and industry-specific technological knowledge to fields such as Applied Operations Research, Financial Engineering, Strategic Operations, and Data Analytics.
The most recent class had 71 students, with 23 different undergraduate majors, stressing the diversity and flexibility of the program. The median undergraduate GPA was a 3. Raymond Liao is one such MBA student. Raymond began his career in corporate banking, working as a relationship manager with China Zheshang Bank in Shenzhen. He enjoyed the work, but after a few years he was ready for his next challenge. Keen to stay in the financial realm, but looking for a path that would allow greater opportunities for growth, and better compensation, he soon settled on investment.
Working in investment banking would give Raymond the chance to help companies grow, rather than managing day-to-day financial as he would in a corporate finance career. Without prior experience, Raymond decided to build his industry knowledge and connections by attending business school. At the same time, the city acts as a gateway to further opportunities in greater China. For Raymond, building a strong professional network in China was one of the key benefits the MBA offered.
Accessing this far-reaching network has been easy with the help of the MBA office, Raymond notes. Networking with successful alumni is one important way that Raymond is preparing for his new career. Along with these alumni connections, Raymond has also built close relationships with his peers in the MBA program. As president of the Private Equity and Venture Capital Club, Raymond is helping others find their footing in investment.
The student-led club links current MBAs to industry professionals who can offer advice and education that will help them launch a successful career. Students who opt for this track study courses like corporate fundraising, fintech analytics, and applying AI and machine learning to finance. For Raymond, these classes were elevated by the quality and enthusiasm of his instructors.
Once MBA students have developed new skills in the classroom, they have the chance to hone them with hands-on learning opportunities like global study trips and case competitions.
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