Data Science Major (BS)

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.

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)

Item #
Title
Credits
Sub-Total Credits
12

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)

Item #
Title
Credits
Sub-Total Credits
12

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)

Item #
Title
Credits
Sub-Total Credits
12

Individualized Concentration:

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

Sub-Total Credits
12
Total Credits
46-47