Master of Science in Applied Mathematics (MSAM)
The Computational Mathematics Option (CMO) is an option within our program of master of sciences in applied mathematics, and it has been offered since 2001. A student who meets the requirements of the CMO will receive, in addition to the master degree, a certificate signed by the Dean of the College.
Students who might benefit from the program are individuals who are either currently employed in a Houston area industry (oil, computer software, etc.) and are seeking a terminal professional degree to enhance their skills, or current students who are in other scientific graduate programs and wish to strengthen their future resumes by the addition of this advanced degree.
It is our intent that this degree program should take no longer than two years to complete for a full time student. Part-time students are also very welcome.
Click for Requirements of Computaional Math Option.
Professor T. Pan is in charge of the CMO program, please contact him for more information on this program. e-mail: pan@math.uh.edu
The Financial Mathematics Option (FMO) is an option within our program of master of sciences in applied mathematics, and it has been offered since 2002. A student who meets the requirements of the FMO will receive, in addition to the master degree, a certificate signed by the Dean of the College.
The program prepares students with mathematical foundations for risk management in financial and energy markets. Core-courses requirements include probability, statistics, optimization methods, and discrete-time and continuous-time financial mathematics.
Depending on interests and career expectations, electives can be selected from courses in numerical methods, applied mathematics, stochastic PDE, stochastic processes, computational statistics, and courses offered by the Department of Finance, Economics, and Computer Science. To accommodate practicing professionals, courses are mostly offered in the late afternoon.
Students with an undergraduate degree in mathematics, computational sciences, and engineering typically meet the requirements for admission to the program.
Full-time students are expected to complete the program in two years at a rate of three courses per semester. Part-time students are also very welcome.
Click for Requirements of Financial Math Option.
Professor E. Kao is in charge of the FMO program, please contact him for more information on this program. e-mail: edkao@math.uh.edu.
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The Mathematical Statistics Option (MSO) is an option within our program of master of sciences in applied mathematics. A student who fulfils the requirements of the MSO will receive, in addition to the master degree, a certificate of proficiency in statistics signed by the Dean of the College.
The program prepares students for work in fields which require statistical analysis- such as industry, medical fields or engineering. Core-courses requirements include graduate level probability, graduate level statistics, stochastic processes, time-series analysis, multivariate statistics, linear models and regression analysis.
Depending on interest, electives can be selected from courses in numerical methods, optimization, stochastic PDE, computational statistics, and courses offered by the Departments of Finance, Economics, Biology and Biochemistry, Physics and Computer Science.
The course is intended for students with a variety of backgrounds, mainly UH math undergraduates or incoming graduate students but also students from other departments or who have been out of a university environment for a while but who have the necessary mathematical background. Students from other disciplines, engineering, physics and so on will be required to take the course Basic Skills for the Applied Mathematician.
Full-time students are expected to complete the program in two years at a rate of three courses per semester. Part-time students are also welcome.
Click for Requirements of Math Statistics Option.
Professor Matt Nicol is in charge of the Statistics Option. Please contact him for more information on this program. e-mail: nicol@math.uh.edu.
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