Master of Data Science
Illinois Institute of Technology
Accredited degree (100% online)
Offered by Illinois Institute of Technology
No application required
Degree admission is entirely performance-based. Bachelor's degree is required.
12–15 months
33 credit hours of graduate coursework
Approximately $455 (USD) per credit
(About $455 x 33 credits = $15,000), with pay-as-you-go tuition for each course.
Save up to $2,730
You may be eligible to have your prior learning on Coursera recognized for credit.
Prepare for a career in data science by learning how to solve real-world problems in a master’s program that goes beyond the abstract use of tools. No application required.
This master’s program is designed to help you understand how to make sense of data using high-level mathematics, statistics, and computer science. As you pursue this degree, you’ll have many opportunities to become skilled at communicating your insights.
With a Master of Data Science degree from Illinois Tech, you will know how to analyze data and visualize results. You’ll know how to articulate your discoveries, too, which is equally important. When you graduate from this program, you will be able to explore and improve the structure of available data, create and evaluate models, and construct and test hypotheses.
Admissions Information
Important Dates
Spring A - Enrollment deadline is January 28th
- November 4, 2024: Spring A Registration
- January 13, 2025: Spring A courses begin
- January 28, 2025: Last day to register for Spring A Courses
- February 17, 2025: Last day to upgrade open content for credit for Spring A
- March 7,2025: Last day of Spring A courses
Spring B - Enrollment deadline is March 31st
- November 4, 2024: Spring B Registration
- March 10, 2025: Spring B courses begin
- March 31, 2025: Last day to register for Spring B Courses
- April 21, 2025: Last day to upgrade open content for credit for Spring B
- May 9,2025: Last day of Spring B courses
Upcoming Events
Stay tuned
Additional Resources
Accredited degree (100% online)
Offered by Illinois Institute of Technology
No application required
Degree admission is entirely performance-based. Bachelor's degree is required.
12–15 months
33 credit hours of graduate coursework
Approximately $455 (USD) per credit
(About $455 x 33 credits = $15,000), with pay-as-you-go tuition for each course.
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
No application required
Degree admission is entirely performance-based. Bachelor's degree is required.
Prepare for a career in data science by learning how to solve real-world problems in a master’s program that goes beyond the abstract use of tools. No application required.
This master’s program is designed to help you understand how to make sense of data using high-level mathematics, statistics, and computer science. As you pursue this degree, you’ll have many opportunities to become skilled at communicating your insights.
With a Master of Data Science degree from Illinois Tech, you will know how to analyze data and visualize results. You’ll know how to articulate your discoveries, too, which is equally important. When you graduate from this program, you will be able to explore and improve the structure of available data, create and evaluate models, and construct and test hypotheses.
Admissions Information
Important Dates
Spring A - Enrollment deadline is January 28th
- November 4, 2024: Spring A Registration
- January 13, 2025: Spring A courses begin
- January 28, 2025: Last day to register for Spring A Courses
- February 17, 2025: Last day to upgrade open content for credit for Spring A
- March 7,2025: Last day of Spring A courses
Spring B - Enrollment deadline is March 31st
- November 4, 2024: Spring B Registration
- March 10, 2025: Spring B courses begin
- March 31, 2025: Last day to register for Spring B Courses
- April 21, 2025: Last day to upgrade open content for credit for Spring B
- May 9,2025: Last day of Spring B courses
Upcoming Events
Stay tuned
Additional Resources
Performance-Based Admissions
This inclusive program welcomes learners from all walks of life. The performance-based admissions process serves capable learners ready to start their next educational journey without tests, application fees, or other hurdles. Complete three short courses (Introduction to Relational Databases, Linear Regression, and either a Statistics Pathway or the Computer Science Pathway course) with at least a B in each course, provide proof of your bachelor's degree, and you’ll be accepted to the program.
- $15,000 USD tuition total Competitively priced with the needs of the working adult learner in mind.
- 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.
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
Launch your career as an AI engineer
Unlock your potential in data analytics
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.