The Department of Mathematics offers a selective and focused program of study leading
to the Doctor of Philosophy in Computational Science with concentration in
Computational and Applied Mathematics
The doctoral concentration is integrated with the SimCenter, a research center that serves as a hub in modeling, simulation, and high-performance
computing. The department also has the Master of Science in Mathematics with concentrations
in
Applied Mathematics
Applied Statistics
Pre-Professional Mathematics
Education
Each Master's student works closely with a faculty advisor in writing a research paper
or thesis in an area of interest to the student. At the doctoral level, a student
may specialize in any one of a number of fields (such as differential equations, mathematical
biology, numerical analysis, graph theory, and statistics) and conduct interdisciplinary
research. In addition, the department offers the Post-Baccalaureate Certificate in
Computational and Applied Statistics
for working professionals who wish to improve their career opportunities by expanding
their knowledge in statistics and data analysis. All of the coursework in this certificate
program is university accredited, recorded in a permanent transcript, and thus eligible
for transfer credit to the Master of Science in Mathematics degree program.
Assistantships and Financial Assistance
Full-time graduate students are eligible for financial assistance, primarily in the
form of graduate assistantships, which can be extended throughout the summer. Graduate
assistantships include a generous stipend plus health insurance and complete tuition
remission. Information on other forms of financial aid, such as student loans or
work-study programs, is available from the Office of Financial Aid and Scholarships.
Application and Deadlines
Interested students are encouraged to visit the Graduate School website for an online application, as well as the department website for additional
application requirements. The following links lead to the most current information
concerning our mathematics programs in the 2017-2018 Graduate Catalog:
A student's Program of Study for the doctoral concentration will depend on his or
her academic background and undergraduate major as well as on the intended area of
research. For a student entering the doctoral concentration with a Bachelor of Science in
Mathematics with a concentration in Applied Mathematics or Pre-Professional Mathematics
with the goal of completing the Doctor of Philosophy in Computational Science, a sample
curriculum might include the following courses with a Master of Science in Mathematics
earned along the way.
Likewise, for a student entering the doctoral concentration with a Bachelor of Science in
Mathematics with a concentration in Applied Statistics with the goal of completing the Doctor of Philosophy in Computational Science, a
sample curriculum might include the following courses with a Master of Science in
Mathematics earned along the way.
The four sample programs of study above list the required coursework and the sequence
in which it might be completed. As with all research-based academic programs, it
is generally the research that determines the duration of time needed to complete
the degree requirements. In the first and third programs of study, the required mathematics
and computer science courses for the Doctor of Philosophy in Computational Science
are obtained during the Master of Science in Mathematics. In addition, during the third years of Tracks I and III, or alternatively during the second years of Tracks II and IV, a program of study may support cross-listed 7000-level courses in Computer Science,
such as
CPSC 7110 - High Performance Scientific Computing
CPSC 7220 - Bioinformatics
CPSC 7240 - Computational Genomics
CPSC 7250 - Advanced Data Science
and in Computational Engineering, such as
ENCM 7130 - Advanced Topics in the Finite Element Method
ENCM 7210 - Parallel Scientific Super Computing
ENCM 7340 - Viscous Flow Computation
ENCM 7510 - Advanced Turbulence Modeling
For any additional questions concerning the department's graduate programs, please
contact
Dr. Francesco Barioli Graduate Coordinator E-mail: Francesco-Barioli@utc.edu Telephone: (423) 425-2198