MA Focus in Applied and Interdisciplinary Mathematics

Image courtesy of Argonne National Laboratory.

Image courtesy of Argonne National Laboratory.

The MA Focus in Applied and Interdisciplinary Mathematics begins Fall 2018. Students will acquire highly-marketable skills in the emerging fields of network science, complex systems, machine learning and data analysis, while building or reinforcing their expertise in computational and applied mathematical methods, probability and statistics.

The new program offers each student the opportunity to intern with a leading industry partner, such as Citi Group, MOOG, IBM, M&T Bank, Secure RF or Bell Labs, among others. Internships are one of the most valuable career preparation experiences, serving as a direct pipeline between the classroom and the professional sphere.

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Responding to the demand for highly-skilled specialists in data analysis and statistical methods

The new program responds to an increasingly high demand for experts in data analysis and statistical methods, as well as scientific computation and other applied mathematics skills. As growth continues to accelerate in this field, employers in Buffalo and beyond are eager to hire UB graduates with the requisite training.

The MA Focus in Applied and Interdisciplinary Mathematics offers a fast-track to a rewarding and lucrative career that can begin in as little as one year.

Degree Requirements

To earn the MA degree with a focus on Applied and Interdisciplinary Mathematics, students must complete seven (7) required courses and four (4) electives for a total of 36 credits. Each course is three (3) credits.

The capstone project will be a required internship with one of the department’s external industry partners, for a total of three (3) credits.

Required Courses (21 credits):

·       Methods of applied mathematics I (MTH 539)

·       Methods of applied mathematics II (MTH 540)

·       Numerical analysis I (MTH 537)

·       Numerical analysis II (MTH 538)

·       Data analysis and data-intensive computing I (MTH563)

·       Probability theory (MTH 511)

·       Statistical inference (MTH 512)

Electives (12 credits):

Students should choose elective courses based on their area of concentration (Applied probability and stochastic processes; Computation; or Complex systems) and specific interests.

·       Stochastic processes (topics class/MTH563)

·       High performance computing (MTH667)

·       Advanced topics in numerical analysis III (MTH 637)

·       Data-analysis and data-intensive computing II (new#tba)

·       Methods of applied mathematics III (new#tba)

·       Mathematical finance I (MTH558)

·       Mathematical finance II (MTH559)

·       Network theory (topics class, MTH563)

·       Complex systems (new#tba)

·       Large deviation theory and rare event simulation (new#tba)

·       Machine learning (SEAS new#tba)

The program may be completed in either two (2) years (at 9 credits per semester) or in one (1) year (at 15 credits per semester, plus three (3) winter session credits and three (3) internship credits internship to be completed during the summer).

Program Prerequisites:
While every applicant is expected to have a strong undergraduate background in mathematics, a bachelor’s degree (BA) in Mathematics is not required for admission. Applicants must hold an undergraduate degree in any subject with a minimum 3.0 GPA (based on a 4.0 system).

How to apply to the new MA program:
Complete and submit your application online through the UB Interactive Graduate Application Site. This site enables you to submit the online application for graduate study in Mathematics at the University at Buffalo. Review the application form for complete details about all items required for admission.

Graduate School Admissions

DEADLINES: The new program has a priority deadline of March 1 for Fall, and November 1 for Spring, with rolling deadlines after that. The final submission deadline for admission the following Fall Semester is April 30, and July 30 for admission the following Spring Semester.

Further Information