**Course Requirements**

**Required (23 credit hours)**

- CSC-148 Introduction to Computer Science I (4 Cr)
- MATH-221 Calculus I (4 Cr)
- MATH-222 Calculus II (4 Cr)
- MATH-310 Linear Algebra (4 Cr)
- MATH-313 Calculus III (4 Cr)
- MATH-401 Probability (3 Cr)

**Basic Statistics (4 credit hours)**

Complete 4 credit hours from the following:

- STAT-202 Basic Statistics (4 Cr)
- STAT-203 Basic Statistics with Calculus (4 cr)

**Intermediate Statistics (3 credit hours**)

Complete 3 credit hours from the following:

- STAT-302 Intermediate Statistics (3 Cr)
- STAT-320 Biostatistics (3 Cr)

**Capstone (3 credit hours)**

**STAT-415 Regression (3)**

**Track (21 credit hours)**

Complete one of the following tracks:

**Required**

- STAT-402 Introduction to Mathematical Statistics (3 Cr)
- STAT-516 Design of Experiments (3 Cr)

**Mathematics or Statistics**

- 3 credit hours of approved coursework in mathematics or statistics

**Related Field**

- 12 credit hours of approved coursework in a related field

**Data Science**

**Required**

- CSC-208 Introduction to Computer Science II (3 Cr)
- DATA-412 Statistical Programming in R (3 Cr)
- DATA-413 Data Science (3 Cr)
- STAT-427 Statistical Machine Learning (3 Cr)

**Additional**

Complete 9 credit hours from the following or approved coursework in mathematics, computer science, statistics, or an application area:

- CSC-434 Database Management Systems (3 Cr)
- ITEC-470 Database and Big Data (3 Cr)
- MATH-465 Numerical Analysis: Basic Problems (3 Cr)
- Mathematical Statistics

**Required**

- STAT-402 Introduction to Mathematical Statistics (3 Cr)
- STAT-516 Design of Experiments (3 Cr)

**Statistics**

- 6 credit hours of approved statistics coursework at or above 300-level

**Mathematics or Statistics**

Note: CSC-208 Introduction to Computer Science II (3 Cr) may count toward this requirement.

- 9 credit hours of approved mathematics or statistics coursework at or above 300-level