Graduate Programs
The Graduate School Applications for the Spring 2020 and Summer 2020 terms are now live. Below are the links for our mathematics program applications for these terms:
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 highperformance computing. The department also has the Master of Science in Mathematics with concentrations in
 Applied Mathematics
 Applied Statistics
 PreProfessional 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 PostBaccalaureate 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
Fulltime graduate students are eligible for financial assistance, primarily in the form of graduate assistantships, which can be extended throughout the summer. Information on other forms of financial aid, such as student loans or workstudy 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 20172018 Graduate Catalog:
 Computational Science: Computational and Applied Mathematics, Ph.D.
 Mathematics, M.S.
 Computational and Applied Statistics Certificate
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. Typically, for a student entering the doctoral concentration with a Bachelor of Science in Mathematics with the goal of completing the Doctor of Philosophy in Computational Science, a curriculum may include courses so that a Master of Science in Mathematics may be earned along the way. Alternatively, a student entering the doctoral concentration with a Master of Science in Mathematics may consider Sample Curriculum I below. Likewise, a student with a concentration in Applied Statistics may choose Sample Curriculum II below.
Beginning the Ph.D. Computational Science Program  
First Year 


Second Year 


Third Year 

Beginning the Ph.D. Computational Science Program  
First Year 


Second Year 


Third Year 

The two sample programs of study above list the required coursework and the sequence in which it might be completed. As with all researchbased academic programs, it is generally the research that determines the duration of time needed to complete the degree requirements. A program of study may support crosslisted 7000level 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. Andrew Ledoan
Graduate Coordinator
Email: AndrewLedoan@utc.edu
Telephone: (423) 4252755