# Program Pre-Requisites

**Please note: At present all the graduate programs at MSCS are open for the academic year 2021-22. However we are expecting to have a smaller intake year than normal, with possibly limited funding available.**

## 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 s 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 2021 admission**: The department understands that some students are not able to take the GRE subject test due to COVID19 concerns, and welcome applications without this test.

## 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)

## Math Education Program Prerequisites