100% Online Degree
Delivered on 
Ball State University has partnered with Coursera, one of the largest online learning platforms in the world, to bring you the online master of science in data science. The curriculum is designed by Ball State University, courses are taught by our accomplished faculty, and content is delivered through the Coursera platform.
Whether you come from a data science or programming background or not, our performance-based admissions simplify the road toward your career goals.
Try before you decide! We offer three open courses on Coursera that apply toward progress in the Master of Science in Data Science:
About the Master's in Data Science
Data science is not just a popular career path, it’s one that’s here to stay. Employers are searching for those with the skills and knowledge to transform data to push their organizations forward. Ball State's online-only master's in data science will help you gain these big data skills.
The 33-credit, non-thesis program provides you with 15 credits of core courses and 18 credits to focus your learning experience. The knowledge you gain in these courses can easily expand into several discipline-specific applications in the health, environmental, social, and behavioral sciences.
Who Should Enroll?
The short answer is anyone! This program is built for learners of all educational backgrounds and career experiences. Whether you’re working in an entry-level position and want to advance your career, or you want to change careers entirely, we’ll help you achieve your goals.
Performance-Based Admissions
You can gain acceptance into the master’s of data science through our performance-based admissions. No entrance exams, application fees, or transcripts are required. You will complete three 3-credit courses, and if you earn a cumulative 3.0 GPA or better, then you will be fully admitted into the program.
Career Outcomes
Growth projections in data science employment are expected to increase rapidly – nearly 20 percent, nationwide – within the next 10 years (Source: Lightcast™ – lightcast.io).
Data science graduates usually transition into one of the following different occupation groups:
- Software Development
- Network and Systems Engineering
- Business Analysis
- Data Analysis and Mathematics
- Front-end Application Design
- Health IT Professional
- Policy Analysis and Planning
You’ll not only gain strong foundations in math, computer science, and statistics, you’ll also experience high-impact practices in big data that you can apply immediately in your current career. The skills you’ll learn are the same ones that are in high demand across the nation.
- Data SciencePython
- Machine Learning
- SQL
- Apache Hadoop
- Big Data
- Data Analysis
- Predictive Modeling
- Data Mining
- SAS®
- R
In addition to these skills, we will prepare you to earn relevant industry certifications, such as those offered by SAS Institute, Inc. upon graduation.
- SAS® Certified Specialist: Base Programming Using SAS® 9.4
- SAS® Certified Professional: Advanced Programming Using SAS® 9.4
- SAS® Certified Big Data Professional Using SAS® 9
- SAS® Certified Advanced Analytics Professional Using SAS® 9
- SAS® Certified Clinical Trials Programmer Using SAS® 9
Data Analytics is a Field for the Perpetual Learner
An ideal candidate for this program is someone dedicated to learning. According to Dr. Munni Begum, this skill is essential in this constantly evolving field.
Learn More
Master of science in data science offers more career options
Anah Southard-Goebel Anah chose Ball State’s 100% online master of science in data science because she wanted the flexibility of working remotely while studying.
Read Her Story
Aihua Li, Master’s in Data Science Professor, is Living Example
Aihua Li, assistant teaching professor of data science, uses herself as an example of what one can do with an advanced degree in data science.
READ HER STORY!
Previous
Next
Why Coursera?
Ball State is intentional about the organizations we work with. Our priority is always our students. Coursera shares the same commitment to bringing flexible, affordable, job-relevant online learning to individuals and organizations worldwide. Since its inception, Coursera has partnered with other accredited and well-known public institutions to offer credit-bearing courses and degree programs that involved rigorous study and proven outcomes for graduates of these programs.
Online, Flexible, Relevant, and Evolving Curricula
The 100 percent online master’s in data science curriculum is built and owned entirely by Ball State and you will still earn a reputable Ball State degree.
The degree is designed with the adult learner and working professional in mind. You will complete your course work through the Coursera online learning platform. Ball State is focused on the student experience. Even in an online learning environment, we place an emphasis on smaller class sizes, and greater personal attention from faculty to benefit you most. Courses are asynchronous, meaning you can complete them at a pace that fits into your daily routine without worrying about being late to class. Many students take one or two courses at a time to balance work, classes, and other responsibilities.
Curriculum Overview
View the schedule of upcoming courses (PDF).
Core Courses (15 credits)
Pathway Courses (9 credits)
If you have no prior background in data science, you’ll be able to cover essential topics in these pathway courses.
- CS 617 Introduction to Programming (3 credits) — Offered Summer 2025
- DSCI 601 Introduction to Data Science (3 credits) — Offered Summer 2025
- DSCI 605 Data Visualization (3 credits) — Offered Summer 2025
You will also have the option to earn credit by completing eligible programs from Google, IBM, and other industry partners through Coursera. See the Pathways to Credit section below to learn more.
Additional Core Courses (6 credits)
Through the core courses, you’ll establish your understanding of statistical methods and programming.
- DSCI 602 Statistical Methods for Data Science (3 credits) — Offered Summer 2025
- CS 654 Machine Learning and Data Mining (3 credits) — Offered Summer 2025
Computational Analytics (6 credits, choose two courses)
The two courses in computational analytics will further round out your education.
- CS 621 Data Analytics (3 credits) — Offered Summer 2025
- DSCI 604 Data Storage and Management (3 credits) — Offered Summer 2025
- DCSI 669 Special Topics in Data Science (3 credits)
Statistical Computing and Modeling (6 credits, choose two courses)
The two courses in statistical computing and modeling will further round out your education.
- DSCI 612 Statistical Programming: Base SAS 9 (3 credits) — Offered Summer 2025
- MATH 624 Introduction to Statistical Learning (3 credits)
- MATH 628 Computational Methods in Statistics (3 credits)
- DSCI 686 Categorical Data Analysis (3 credits) — Offered Summer 2025
Applied Research (6 credits, choose two courses)
In your two elective courses, you’ll develop specialized knowledge and skills so you can stand out to employers as you pursue a career in the field.
- ACC 610 Financial Analytics (3 credits)
- DSCI 607 Data Analytics for Environmental Sciences (3 credits)
- DSCI 608 Data Analytics for Bioinformatics (3 credits)
- DSCI 609 Data Analytics for Social Sciences (3 credits) — Offered Summer 2025
- DSCI 610 Data Analytics for Health Sciences (3 credits)
- DSCI 679 Research Topics in Data Science (3 credits)
Pathways to Credit
To earn a Master of Science in Data Science through Coursera and Ball State University, you will earn 33 graduate credits.
Courses are offered in fall, spring, and summer semesters. However, students have options to begin learning right away, including:
- Registering for course in an upcoming term
- Open Content from Ball State University
- Industry Content from Coursera partners including as Google, IBM, and more
Ball State University currently offers four open courses on Coursera. The projects that you complete in open courses can apply toward progress in the Master of Science in Data Science once you enroll in the for-credit course:
Benefits include:
- Start today: you can enroll in the open course at any time; you don’t have to wait for the semester start date.
- Low cost: you may earn a certificate and add it to your LinkedIn profile.
- Same quality: the open courses are designed by the same faculty who teach our degree course
- Get a head start: completed work in open course Introduction to Programming transfers to CS 617. Completed work in open course Data Visualization transfers to DSCI 605. Completed work in open course Introduction to Data Science transfers to DSCI 601. Completed work in open course Statistical Methods for Data Science transfers to DSCI 602. When you enroll in degree courses CS 617, DSCI 601, DSCI 602, or DSCI 605, you don’t have to resubmit projects you’ve already completed in open content courses.
Some designated courses offered through Coursera count toward elective credit in the Master of Science in Data Science. Elective credits earned through Industry Content courses do not apply toward performance-based admission.
You may earn up to nine credits after you successfully complete the approved Coursera certificates and specializations below:
Benefits include:
- Start today: you can enroll in industry content at any time; you don’t have to wait for the semester start date.
- Learn in-demand skills: you will receive professional-level training from a notable company like Google or IBM and earn an employer-recognized certificate.
- Flexible schedule: learn at your own pace.
- Earn degree credit: students who complete eligible industry content may earn credits toward elective courses. (credits do not count toward PBA requirements)
If you are interested in applying credit from any of these Coursera courses, you should fill out and submit the prior learning credit form after you enroll in your first course. For questions, contact online@bsu.edu.
* Courses from the Deep Learning Specialization include Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, and one of the following: Convolutional Neural Networks or Sequence Models.
** Courses from the IBM AI Engineering Professional Certificate include Machine Learning with Python, Introduction to Deep Learning & Neural Networks with Keras, Deep Learning with Keras and Tensorflow, Introduction to Neural Networks and PyTorch, Deep Learning with PyTorch, and AI Capstone Project with Deep Learning.
Want to Learn More?
Do you have questions about this program or online learning? We’re here to help! You may request more information using our online form, or feel free to reach out directly to one of our staff.