Master of Data Science

Illinois Institute of Technology logo

Master of Data Science

Illinois Institute of Technology

Accredited degree (100% online)

Offered by Illinois Institute of Technology

12-15 months

13 courses total, 6-9 hours per week per course

$15,000 USD total cost

About $455 x 33 credits = $15,000, with pay-as-you-go tuition for each course

No application required

Degree admission is entirely performance-based. Bachelor's degree is required

Save up to $2,730

You may be eligible to have your prior learning on Coursera recognized for credit

The Master (M.A.S.*) of Data Science for leaders who turn insight into industry-wide impact

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

What sets this program apart?

Learn from industry experts
Access real-world insights from faculty who are active practitioners and leading researchers in the tech industry.
Master a hands-on curriculum
Work through core courses in statistics, machine learning, and big data to grow your technical confidence.
Accelerate your career path
Become highly qualified for exciting and important roles that require advanced data science expertise.
Learn on your own schedule
Complete your degree at your own pace with a fully online Master of Data Science designed for a working professional’s schedule.
Streamline your enrollment process
Start with a bachelor's degree and earn a 3.0 GPA or higher in pathway courses to secure your admission.
Save with Prior Learning Credit
Receive credit for eligible Coursera coursework to reduce your total tuition and accelerate your degree path.

Applications for the Spring B cohort are open!

  • Priority deadline: March 17, 2026
  • Final deadline: April 6, 2026

Upcoming events

  • April 1: Illinois Tech M.B.A. & M.A.S. Virtual Office Hours - Register here

Additional resources

Spring B priority deadline: March 17

Enroll in your first course or request more information.

Accredited degree (100% online)

Offered by Illinois Institute of Technology

12-15 months

13 courses total, 6-9 hours per week per course

$15,000 USD total cost

About $455 x 33 credits = $15,000, with pay-as-you-go tuition for each course

No application required

Degree admission is entirely performance-based. Bachelor's degree is required

Save up to $2,730

You may be eligible to have your prior learning on Coursera recognized for credit

Accredited degree (100% online)

Offered by Illinois Institute of Technology

12-15 months

13 courses total, 6-9 hours per week per course

The Master (M.A.S.*) of Data Science for leaders who turn insight into industry-wide impact

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

What sets this program apart?

Learn from industry experts
Access real-world insights from faculty who are active practitioners and leading researchers in the tech industry.
Master a hands-on curriculum
Work through core courses in statistics, machine learning, and big data to grow your technical confidence.
Accelerate your career path
Become highly qualified for exciting and important roles that require advanced data science expertise.
Learn on your own schedule
Complete your degree at your own pace with a fully online Master of Data Science designed for a working professional’s schedule.
Streamline your enrollment process
Start with a bachelor's degree and earn a 3.0 GPA or higher in pathway courses to secure your admission.
Save with Prior Learning Credit
Receive credit for eligible Coursera coursework to reduce your total tuition and accelerate your degree path.

Applications for the Spring B cohort are open!

  • Priority deadline: March 17, 2026
  • Final deadline: April 6, 2026

Upcoming events

  • April 1: Illinois Tech M.B.A. & M.A.S. Virtual Office Hours - Register here

Additional resources

No application needed

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.

Get started

*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.

Illinois Tech offers competitive tuition with flexible payment options

  • $15,000 USD tuition total

    Competitive pricing with flexible options.

  • Pay-as-you-go tuition

    Work at your own pace and pay for courses one-at-a-time.

  • Financial aid opportunities

    Illinois Tech encourages you to seek tuition reimbursement through your employer.
View info about tuition & financing
[Featured Image] An Executive MBA candidate wearing a turtleneck sweater in a large brick room smiles while looking down at their tablet.

Advance your career as you build toward a degree

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.

Explore eligible content

*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.

Spring B priority deadline: March 17

Don't miss your chance to join this cohort!

Build toward a degree

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.

Build toward a degree

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

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.

Frequently asked questions

The certificate will state that the student has earned a Master of Data Science degree from the Illinois Institute of Technology.

Illinois Tech is accredited by the Higher Learning Commission (HLC) through a re-accreditation process every 10 years.

The United States Department of Homeland Security and the National Security Agency have also designated Illinois Tech as a National Center of Academic Excellence in Cyber Defense Education.

Yes. You can sample the learning experience and test your skills by enrolling in a non-credit course. You can upgrade later to the for-credit experience and pay tuition to apply the credit toward the full degree. Learners can enroll in stackable open content in fall 2023.

Spring B priority deadline: March 17

Don't miss your chance to join this cohort!