Data Science - Associate of Applied Science


Associate of Applied Science (AAS)


Students pursuing a degree in Data Science will focus on statistics and data warehousing coursework to learn how to program, analyze, and understand data for businesses in this fast-growing sector. Students will study fundamental programming languages and teamwork and communication skills to prepare for careers in data science. Students will learn to apply complex quantitative algorithms to classify and synthesize data to react to queries and drive organizational strategy. Students become goal-oriented, with unusual industry-specific information and communication skills that enable them to communicate excellent technical outcomes to non-technical associates across an organization.

Career Opportunities

An associate of applied science in data science is an excellent way to get started in a high-paying profession. As the world becomes more reliant on technology, data science careers professionals will become increasingly vital in numerous industries. Some of the most common data science jobs and career opportunities include data scientist assistant, data analyst, junior machine learning engineer, and database administrator.

Learning Outcomes

Upon completion of the program, successful graduates are expected to:

  1. Communicate efficiently in a variety of modes and contexts
  2. Comprehend and critically think to solve problems in real-world circumstances
  3. Formulate and use relevant data analysis models to uncover hidden answers to organizational challenges
  4. Demonstrate proficiency with data mining, data modeling, statistical analysis, and data warehouse architecture for decision making
  5. Develop pertinent programming capabilities
  6. Undertake data science activities according to policy, privacy, security, and ethical considerations.

Course Requirements

Students are responsible to examine the course description of each course listed below for details of prerequisites, which must be satisfied before registering for the course.


Religion Cornerstone Courses

Students must complete two of the following courses
Course NumberTitleCredits
REL 200The Eternal Family (Cornerstone)

2 credits

REL 225Foundations of the Restoration (Cornerstone)

2 credits

REL 250Jesus Christ & His Everlasting Gospel (Cornerstone)

2 credits

REL 275Teachings & Doctrine of The Book of Mormon (Cornerstone)

2 credits

Total Credit Hours:4

Religion Electives

Students must complete two additional religion courses
Course NumberTitleCredits
Total Credit Hours:4

Total Credit Hours: 8

College Success

Course NumberTitleCredits
ENS 101College Success

1 credit

BAP 115Excel and Introduction to Technology

1 credit

Total Credit Hours:2

Career Success

Course NumberTitleCredits
CAR 399RInternship

1-3 credits: This course can be taken a maximum of 2 times with a cap of 4 total credits.

Total Credit Hours:1-3

College Fundamentals

Course NumberTitleCredits
COMM 122Interpersonal Communications

3 credits

ENG 101Introduction to College Writing

3 credits

MAT 107Quantitative Analysis and Personal Finance

3 credits

Total Credit Hours:9

Any math class >MAT 107 will satisfy the MAT 107 College Fundamentals requirement

Program Core Requirements

Course NumberTitleCredits
BA 140Tableau for Business Analytics

1 credit

BA 350Data Analytics

2 credits

CS 104Python Scripting

3 credits

CS 115Object-Oriented Programming

3 credits

CS 160Agile Project Management

3 credits

IT 160 or DM 140 or CS 220Cloud Computing Essentials or Digital Marketing Web Management or Frontend Programming Fundamentals

3 credits

DM 150Digital Marketing Analytics

3 credits

IT 125Introduction to Information Technology

3 credits

IT 143Database Design and Analysis

3 credits

IT 210Linux Fundamentals

3 credits

IT 235Cloud Server Administration

3 credits

IT 312Cybersecurity Foundations

3 credits

IT 340Business Intelligence Systems

3 credits

IT 440Data Warehousing for Business Intelligence

3 credits

ELECAny IT or CS course not already used

3 credits

Total Credit Hours:42

Total Credit Hours: 62-63

Graduation Requirements

1. Minimum of 62 total semester credit hours as outlined

2. Grade of C- or higher in all program-specific courses

3. Cumulative grade-point average of 2.0 or higher

4. *CAR 499R may be used as an equivalent--speak with an advisor to know which is the best option for you

Recommended Sequence of Courses

Individual student circumstances, such as the need for a smaller course load or the number of preparatory English or Math courses a student must take, may require additional semesters to complete the program. Please see your Student Success Advisor for assistance.

First Semester
BAP 115, Excel and Introduction to Technology, 1 credit
ENS 101, College Success, 1 credit
CS 104, Python Scripting, 3 credits
ENG 101, Introduction to College Writing, 3 credits
IT 125, Introduction to Information Technology, 3 credits
**REL, See Current Religion Requirements, 2 credits
Total Minimum Semester Hours 13

Second Semester
CS 160, Agile Project Management, 3 credits

BA 140, Tableau for Business Analytics, 1 credit
IT 143, Database Design and Analysis, 3 credits

IT 235, Cloud Server Administration, 3 credits

IT 440, Data Warehousing for Business Intelligence, 3 credits

**REL, See Current Religion Requirements, 2 credits

Total Minimum Semester Hours 15

Third Semester
CS 115, Object-Oriented Programming, 3 credits
DM 150, Digital Marketing Analytics, 3 credits
IT 210, Linux Fundamentals, 3 credits
MAT Elective, MAT 110 or higher, 3-4 credits
**REL, See Current Religion Requirements, 2 credits
Total Minimum Semester Hours 14-15

Fourth Semester
IT Core Elective: Select one: IT 160, DM 140, or CS 220, 3 credits
IT 312, Cybersecurity Foundations, 3 credits
IT 340, Business Intelligence Systems, 3 credits
COMM 122, Interpersonal Communications, 3 credits
**REL, See Current Religion Requirements, 2 credits
Total Minimum Semester Hours 14

Fifth Semester
IT Internship, *CAR 399R, 1-3 credits
IT Elective: Any IT or CS course not already used, 3 credits
BA 350, Data Analytics, 3 credits
Total Minimum Semester Hours 7-9

*CAR 499R may be used as an equivalent. Please speak with an advisor.

Total Data Science - Associate of Applied Science Minimum Credit Hours 62-63