# Program Pre-Requisites

## General Program Prerequisites:

- Baccalaureate in Mathematics or a related field from an accredited college or university
- Minimum grade point average of 3.0 (A=4.0) for the final 60 semester hours of undergraduate study
- Minimum of 20 semester credit hours of undergraduate work in mathematics beyond calculus, with a minimum grade point average of 3.0 (A=4.0)
- Minimum TOEFL score (international applicants only) of 100 on the Internet-based test (ibT), including a minimum ibT Speaking sub-score of 23; or IELTS Band score of 7 with a Speaking sub-score of 7. Report scores via ETS to institutional code 1851.
- GRE scores - General exam is required and the subject exam is recommended for all applicants, except MST. These scores are considered competitively among applicants. Report scores via ETS to institutional code 1851.
**For 2022 admission**: The department understands that some students are not able to take the GRE subject test due to COVID19 concerns. We recommend that you take the subject test if you can, but will still consider your application without it.

## Program Specific Prerequisites:

### PhD in Mathematics:

- BS or BA in Mathematics or related field. Applicants should complete coursework related to their research field of interest as outlined below for the various MS in Mathematics concentrations.

### MS in Mathematics with concentration in Pure Mathematics:

- One year of Linear Algebra (MATH 320) and Abstract Algebra (MATH 330)
- One year of Analysis (MATH 313, 414) or Advanced Calculus (MATH 410, 411)

### MS in Mathematics with concentration in Applied Mathematics:

- Ordinary Differential Equations (MATH 220)
- Applied Linear Algebra (MATH 310)
- Knowledge of Advanced Calculus (MATH 410)

### MS in Mathematics with concentration in Mathematical Computer Science:

- Discrete Mathematics (MCS 361)
- Programming Tools and File Management (MCS 275)
- Introduction to Data Structures (MCS 360)
- Linear Algebra I (MATH 320) or Applied Linear Algebra (MATH 310)
- Introduction to Probability (STAT 401)
- Proficiency in a structured programming language (e.g. C or C )
- One upper division mathematics or computer science course

### MS in Statistics:

- Applied Linear Algebra (MATH 310)
- Analysis I (MATH 313)
- Introduction to Probability (STAT 401)