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Offered by Illinois Institute of Technology
13 courses total, 6-9 hours per week per course
About $455 x 33 credits = $15,000, with pay-as-you-go tuition for each course
Degree admission is entirely performance-based. Bachelor's degree is required
You may be eligible to have your prior learning on Coursera recognized for credit
The Illinois Tech Master (M.A.S.*) of Data Science is designed for ambitious learners from diverse academic backgrounds who want to lead in a data-driven world. This interdisciplinary program prepares you for advanced technical roles by building the skills needed to turn complex datasets into strategic, real-world solutions.
Through a rigorous, project-based curriculum, you will gain hands-on experience across the full data lifecycle. You will learn to work with complex data, develop and evaluate predictive models, and communicate insights through clear visualizations. This hands-on experience ensures you graduate ready to lead data initiatives and create measurable value from day one.
Instead of a traditional application, enrollment is granted through a streamlined, performance-based admission model. A bachelor’s degree is required, but no prior STEM background or professional experience is necessary. You begin by enrolling in three specific courses, and earning a cumulative GPA of 3.0 or higher secures full admission, with all completed coursework counting toward your Master of Data Science degree.
* M.A.S. (Master of Applied Science) is a professional Master’s degree
Enroll in your first course or request more information.
Offered by Illinois Institute of Technology
13 courses total, 6-9 hours per week per course
About $455 x 33 credits = $15,000, with pay-as-you-go tuition for each course
Degree admission is entirely performance-based. Bachelor's degree is required
You may be eligible to have your prior learning on Coursera recognized for credit
Offered by Illinois Institute of Technology
13 courses total, 6-9 hours per week per course
About $455 x 33 credits = $15,000, with pay-as-you-go tuition for each course
Degree admission is entirely performance-based. Bachelor's degree is required
You may be eligible to have your prior learning on Coursera recognized for credit
The Illinois Tech Master (M.A.S.*) of Data Science is designed for ambitious learners from diverse academic backgrounds who want to lead in a data-driven world. This interdisciplinary program prepares you for advanced technical roles by building the skills needed to turn complex datasets into strategic, real-world solutions.
Through a rigorous, project-based curriculum, you will gain hands-on experience across the full data lifecycle. You will learn to work with complex data, develop and evaluate predictive models, and communicate insights through clear visualizations. This hands-on experience ensures you graduate ready to lead data initiatives and create measurable value from day one.
Instead of a traditional application, enrollment is granted through a streamlined, performance-based admission model. A bachelor’s degree is required, but no prior STEM background or professional experience is necessary. You begin by enrolling in three specific courses, and earning a cumulative GPA of 3.0 or higher secures full admission, with all completed coursework counting toward your Master of Data Science degree.
* M.A.S. (Master of Applied Science) is a professional Master’s degree

Illinois Institute of Technology offers a performance-based pathway for all learners for the Master of Data Science. Get admitted based on your performance in approved courses - no application required.
Complete a 3-course pathway for credit. Achieve at least a B in each course, and you’ll be admitted to the degree program.
*Eligibility requirements apply. Each institution determines the successful course completion required to qualify for performance-based admission. Review the admissions process for this degree program for more information. Click on a specific course for details.

![[Featured Image] An Executive MBA candidate wearing a turtleneck sweater in a large brick room smiles while looking down at their tablet.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/ePDnDk2SbZPT8IvTA4MCG/74bce26496ed33920c01b2c010ec2969/iStock-931697588.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=900)
Not ready to apply? Illinois Institute of Technology offers multiple options for you to start learning in a degree course before committing to the program. Gain in-demand skills with the knowledge that you can leverage your learning toward a master’s degree.
By completing degree-related courses, Specializations, or Professional Certificates, you’ll attain career credentials and you may request that your prior learning be applied toward the Master of Data Science later on.
Choose the path that is right for you, so you get the most out of your time and money while enjoying the flexibility to pursue a degree when you’re ready.
*Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
![[Featured Image] An Executive MBA candidate wearing a turtleneck sweater in a large brick room smiles while looking down at their tablet.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/ePDnDk2SbZPT8IvTA4MCG/74bce26496ed33920c01b2c010ec2969/iStock-931697588.jpg?auto=format%2Ccompress&dpr=2&blur=200&px=8&max-w=900)
Don't miss your chance to join this cohort!
When you complete these programs, you may have learning recognized for credit toward this degree, if you are admitted and enroll.¹



¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
These courses are part of the degree program. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

Illinois Tech
Master Advanced Statistical Techniques for Data
Intermediate · Specialization

Illinois Tech
Build Expertise in Data Analytics and Big Data
Intermediate · Specialization

Illinois Tech
Master Relational Database Management
Beginner · Specialization
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
The certificate will state that the student has earned a Master of Data Science degree from the Illinois Institute of Technology.
Yes. Illinois Tech is accredited by the Higher Learning Commission. The university is also designated by the U.S. Department of Homeland Security and the National Security Agency as a National Center of Academic Excellence in Cyber Defense Education.
Yes. Learners can begin with a non-credit course to sample the learning experience, then upgrade later to the for-credit version and apply that credit toward the full degree, subject to program requirements.
Yes. Illinois Tech holds one Commencement ceremony each year in May, and students in the program have the option to attend.
Yes. Online students learn from the same faculty and benefit from the same emphasis on faculty interaction, rigorous academics, and hands-on learning as on-campus students.
Yes. Eligible students may use VA education and training benefits by following Illinois Tech’s required process:
Admission is entirely performance-based and does not require a traditional application. Students begin with a 3-course for-credit pathway and earn admission by achieving at least a B in each course. All completed pathway coursework counts toward the degree.
A bachelor’s degree is required. A prior STEM background is not required, and professional experience is not required. The program is designed for learners from diverse academic backgrounds.
The program is designed to be completed in 12 to 15 months. It includes 13 courses in total, and students should plan for about 6 to 9 hours of study per week per course.
Total tuition is $15,000 USD, based on 33 credits at about $455 per credit, with a pay-as-you-go structure that lets students pay one course at a time. Eligible prior learning completed on Coursera may reduce the total cost by up to $2,730.
Don't miss your chance to join this cohort!