The mission of the data science major is to provide the student with the opportunity to study data

science and the intersection of data science with another field with the following student learning

outcomes:

1. Students will demonstrate an understanding of the ethical considerations required

for work in the field of data science,

2. Students will demonstrate the ability to clearly communicate data science

concepts, skills, and outcomes to a variety of audiences at a various levels of

technicality,

3. Students will be able to create readable, documented code to solve data science

issues,

4. Students will demonstrate an understanding of data types, data cleaning, and data

wrangling, and

5. Students will be able to read documentation for data science methods and learn

how to implement new methods to solve problems in different contexts.

**Calculation of GPA for Data Science Major or Minor**

To earn a degree in data science or complete a minor in data science, a student must have a

minimum GPA of 2.0 in all required coursework.

If the student has more than the minimum required number of elective credits, the credits with

the highest grades will be used in the GPA calculation.

## Required Courses

## Four electives forming a concentration, chosen from the following:

## Mathematics Concentration

MTH 210 Calculus and Analytic Geometry II

**Three courses chosen from the following:**

MTH 205 Discrete Mathematics

MTH 220 Calculus and Analytical Geometry III

MTH 330 Numerical Analysis

MTH 410 Differential Equations

MTH 480 (SP) as approved by Data Science Program Coordinator

(*Statistics option must be MTH113 or MTH 423)

## Business Concentration:

**Four courses chosen from the following:**

ACC 211 Accounting I

ACC 380 Accounting Information Systems

BAD 340 Marketing

BAD 442 Marketing Research

ECN 201 Microeconomics

ECN 202 Macroeconomics

Or a course approved by Data Science Program Coordinator

(*Statistics option must be MTH 300)

## Child and Family Studies Concentration:

CFS 200 Introduction to Child and Family Studies

**Three courses chosen from the following:**

EDU 305 Behavior and Development of the Young Child

CFS 403 Child and Family Studies Internship

HCA 206 Healthcare Communications

PSY 100 General Psychology

PSY 380 Human Growth and Development

Or a course approved by Data Science Program Coordinator

(*Statistics option must be PSY 310 or POL 303)

## Individualized Concentration:

Four cohesive electives to form a specialized concentration. These electives must be approved by the studentâ€™s Data Science advisor or by the Data Science Program Coordinator.