Bachelor of Applied Arts and Sciences (B.A.A.S.) Major in Data Analytics Online
Prepare for in-demand data analytics roles with practical, job-ready skills in data analysis, visualization, and data-driven decision-making across industries.
Program Overview
Understand how data affects business with a data analytics bachelor’s degree
In this 100% online, STEM-designated program, you’ll focus on real-world application—not theoretical or advanced mathematics—so you can start building practical data analytics skills right away. Through hands-on coursework in applied analytics, data visualization, and database fundamentals, you’ll learn to interpret complex data, uncover insights, and support data-driven decision-making in the workplace.
As part of the program, you’ll also complete industry-recognized Coursera certificates in data analytics—at no additional cost—and apply 24 credits toward your degree. This means you won’t just earn a bachelor’s degree—you’ll graduate with in-demand credentials and the applied experience to use them on the job.
Tools and technologies you’ll work with:
- Tableau for data visualization and dashboard creation
- Database tools for managing and querying structured data
- Python- or R-based data analytics environments used to analyze, interpret, and communicate insights
- Reporting tools to present data-driven findings to stakeholders
- Tableau for data visualization and dashboard creation
- Database tools for managing and querying structured data
- Python- or R-based data analytics environments used to analyze, interpret, and communicate insights
- Reporting tools to present data-driven findings to stakeholders
As a student in this online B.A.A.S. program, you will learn how to:
- Understand how data is structured, stored, and organized within modern database systems
- Use and create data visualizations and dashboards to communicate insights clearly
- Analyze data to identify trends, patterns, and opportunities for decision-making
- Apply STEM literacy to workplace problem-solving
- Use project management and decision-making frameworks to support data-driven solutions
- Connect data insights to broader organizational goals and strategy
- Understand how data is structured, stored, and organized within modern database systems
- Use and create data visualizations and dashboards to communicate insights clearly
- Analyze data to identify trends, patterns, and opportunities for decision-making
- Apply STEM literacy to workplace problem-solving
- Use project management and decision-making frameworks to support data-driven solutions
- Connect data insights to broader organizational goals and strategy
Career opportunities:
- Product or Project Coordinator
- Data Analyst
- Business Analyst
- Market Research Analyst
- Operations or Reporting Analyst
- Product or Project Coordinator
- Data Analyst
- Business Analyst
- Market Research Analyst
- Operations or Reporting Analyst
Also available:
We offer a variety of student-centered online degrees that can help you advance. Explore other B.A.A.S. programs.
Tuition
A degree program as affordable as it is convenient
Tuition for the online bachelor’s degree program in data analytics is affordable and paid by the course, so you can achieve your academic goals while remaining within your budget.
| Program | Per Credit Hour | Per Course |
|---|---|---|
| B.A.A.S. Data Analytics | $405* | $1,216 |
*Students in Accelerated Online Programs are not eligible for payment plans or emergency loans. Tuition and fees are subject to change by legislative or Board of Regents action; changes become effective on the date of enactment. BookSmart fees are automatically added each semester but are not included in program costs; students may opt out by the start of each term. Registrations after the tuition deadline require full payment at registration. Cost of Attendance details are available through TXST One Stop.
Tuition breakdown
Transfer your credits for lower tuition
Use our Tuition Estimator to see how affordable your degree could be. Slide the notch to the number of credits you've already earned—which may qualify for transfer credit—to get an estimate of what your degree might cost.
**Texas State will apply to an undergraduate degree up to 72 semester credit hours from an accredited junior or community college. Students transferring more than 72 hours must consult with their academic advisor to determine how degree requirements will be satisfied.
Transcripts sent from other colleges and universities will be evaluated, and accepted credits will be added to the student's Texas State record. The Tuition Estimator is not a guarantee or predictor of the number of credit hours that will be accepted.
Ready to take the next step
toward earning your degree?
Calendar
Plan your future around these important dates
The Texas State B.A.A.S. in Data Analytics program is delivered in a convenient online learning format that offers maximum flexibility for working adults like you. Choose the start date that fits your goals.
| Term | Start Date | App Deadline | Document Deadline | Registration Deadline | Tuition Deadline | Class End Date | Term Length |
|---|---|---|---|---|---|---|---|
| Fall 1 2026 | 8/19/26 | 8/5/26 | 8/12/26 | 8/19/26 | 8/13/26 | 10/7/26 | 8 weeks |
| Fall 2 2026 | 10/8/26 | 9/24/26 | 10/1/26 | 10/8/26 | 10/1/26 | 12/10/26 | 8 weeks |
Now Enrolling
Admissions
What you’ll need to apply for our degree in data analytics program
Apply to the B.A.A.S. in Data Analytics online program quickly and easily with our streamlined admission process. Review the admission requirements below and take the next step toward your professional goals.
To be eligible to earn your B.A.A.S. in Data Analytics online from Texas State University, you must:
- Submit a completed application and all supporting documents—including official transcripts from your high school and any postsecondary institutions attended—to the Office of Undergraduate Admissions by the stated document deadline
- Pay the nonrefundable application fee of $75 ($90 for international students*)
- Be eligible to re-enter all colleges and/or universities previously attended
High school graduates who plan to attend Texas State the semester after high school graduation (not including summer sessions), regardless of how many dual credit or transferable college credits earned, are considered an entering freshman.
Freshmen must do the following to qualify for admission to Texas State University:
- Receive a diploma from an accredited high school
- We recommend students complete the following curriculum:
- 4 credits of English, 4 credits of mathematics, 4 credits of science, 3 credits of social studies and 2 credits of a language other than English
- We recommend students complete the following curriculum:
- ACT and SAT test scores are not required for applicants ranked in the top 75% of their graduating class
- Applicants who do not meet assured admission, or do not submit test scores, will be reviewed holistically. All students ranked in the fourth quartile of their class must submit scores that meet assured admission standards for admission
- Submit your high school transcripts by mail or via Parchment, Naviance, National Student Clearinghouse
Transfer students must meet these requirements:
- 14 or fewer credit hours: minimum 2.0 GPA in all transferable course work plus meet freshman admission standards
- 15-29 credit hours: minimum 2.5 GPA in all transferable course work
- 30 or more credit hours: minimum 2.25 GPA in all transferable course work
- Be at least one full semester out of high school and eligible to return to all postsecondary institutions previously attended
For applicants without a U.S. bachelor’s degree or high school diploma (or equivalent)**:
You must submit an approved English proficiency exam score that meets the minimum program requirements.
- Official TOEFL iBT scores required with a 78 overall and minimum individual module scores of
- 19 listening
- 19 reading
- 19 speaking
- 18 writing
- Official PTE scores required with a 52 overall
- Official IELTS (academic) scores required with a 6.5 overall and minimum individual module scores of 6.0
- Official Duolingo scores required with a 110 overall
- Official TOEFL Essentials scores required with an 8.5 overall
**Exemption: Applicants who have earned a high school diploma, bachelor’s degree or higher from a regionally accredited U.S. institution or an equivalent degree from a country on our exempt countries list are not required to submit an English proficiency exam score.
Transcripts may be sent electronically to [email protected] or mailed to:
TXST One Stop
Texas State University – Undergraduate Admissions
601 University Dr.
San Marcos, TX 78666
*Texas State defines an on-campus international student as anyone with a nonimmigrant visa status, including H-1B visa holders, or those seeking a visa to enroll. If you are not a U.S. citizen, permanent resident, refugee, or asylee, you will be classified as an international applicant.
An online international student is someone who holds citizenship in another country, is not a U.S. permanent resident, and resides outside the U.S. while enrolling in an online program.
Students who are not on a visa but are graduating from a Texas high school after three years in residence are considered domestic applicants.
If you are a U.S. citizen, permanent resident, refugee, or asylee, you are considered a domestic applicant.
Admission Requirements
- High school diploma
- Online application
- Official transcripts from all institutions
Courses
Explore courses included in this data analytics bachelor’s degree
To graduate from the Bachelor of Applied Arts and Sciences in Data Analytics from Texas State, you must complete a total of 120 credit hours, including 42 credit hours of general education courses, 37 credit hours of B.A.A.S. core courses (includes 12 credit hours of data analytics focused courses), 24 credit hours earned via Coursera certificates, and 17 credit hours of remaining credit hours selected in consultation with the student's advisor.
Students must take 42 credit hours of general education courses to meet the degree plan requirements.
The B.A.A.S. in Data Analytics major requires 37 credit hours of OCED (Occupational Education) & CTE (Career and Technical Education) Courses.
The B.A.A.S. in Data Analytics online program offers students 24 academic credits through Coursera certificate programs. These certificates will be assessed via Texas State’s PLA process (Prior Learning Assessment), via the OCED 4111 course, to their portfolio—including evidence of work experience and noncollegiate training (specifically Coursera certificates) assessed for college credit. TXST students can access Coursera through SSO login with their NetID credentials upon acceptance to the university.
Students may select from the following Data Analytics Certificates:
- Google Data Analytics
- IBM Data Science Professional Certificate
- Mathematics for Machine Learning and Data Science
- Responsible AI – Principles and Ethical Considerations
- Machine Learning Specialization
- AI Engineering Professional Certificate
- Deep Learning Specialization
- Deep Learning for Computer Vision
- Natural Language Processing Specialization
- TensorFlow Developer Professional Certificate
- Generative Adversarial Networks (GANs)
- Business Intelligence Analyst
- Power BI Data Analyst Professional Certificate
- Tableau BI Analyst Professional Certificate –
- Data Analytics with Excel and R
- Marketing Analytics Professional Certificate
- Data Analysis and Presentation Skills: the PwC Approach
- SAS Visual Business Analytics Professional Certificate
- Data Engineering Professional Certificate
- Data Engineering, Big Data, and Machine Learning on GCP
- Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate
- AWS Fundamentals
- From Data to Insights with Google Cloud Specialization
- Analyzing Time Series and Sequential Data Specialization
- AI for Good Specialization
- Practical Data Science with MATLAB
Selected in consultation with the student’s advisor. Students are required to complete US 1100 (1 credit hour) as part of these remaining credits, with additional hours fulfilled through transfer or other approved methods.
