Offered by Illinois Institute of Technology
Degree admission is entirely performance-based
33 credit hours of graduate coursework
Flexible payment options with no hidden costs or fees. Save up to $2,730 with prior learning credit.
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.
Summer A - Enrollment deadline is May 19th!
Summer B - Enrollment deadline is June 30th!
Fall A - Enrollment deadline is August 25th
Fall B - Enrollment deadline is October 20th
Start your first course or request more information.
Offered by Illinois Institute of Technology
Degree admission is entirely performance-based
33 credit hours of graduate coursework
Flexible payment options with no hidden costs or fees. Save up to $2,730 with prior learning credit.
Offered by Illinois Institute of Technology
Degree admission is entirely performance-based
33 credit hours of graduate coursework
Flexible payment options with no hidden costs or fees. Save up to $2,730 with prior learning credit.
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.
Summer A - Enrollment deadline is May 19th!
Summer B - Enrollment deadline is June 30th!
Fall A - Enrollment deadline is August 25th
Fall B - Enrollment deadline is October 20th
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 transcripts, 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.
When you complete these programs, you can earn degree credit if you are admitted and enroll in the degree program.¹
¹Each university determines the number of pre-approved prior learning credits that may count towards the degree requirements according to institutional policies.
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.
Illinois Tech holds its Commencement ceremony once per year in May, and all students will have the option to attend.
Yes, you’ll learn from the same outstanding faculty while enjoying the same emphasis on faculty-student interaction, rigorous academics, and hands-on learning as your on-campus peers.