Master of Data Science

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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.

Grow your confidence to perform practical applications
Work your way through core courses on statistics, machine learning, project management, big data, and more
Access real-world insights from bona fide experts
Many Illinois Tech faculty members work in the tech industry.
Be ready to do exciting and important work with data
With this master’s degree, you’ll be highly qualified for all kinds of jobs that require data science skills and more.
Get started with no application
Illinois Tech is making their Master of Data Science program more accessible than ever with performance-based admissions. Simply select a course you'd like to start with, and perform in the course with a "B" or better, and you're on your way!

Admissions Information

Important Dates

Fall B - Enrollment deadline was October 21st

  • November 15, 2024: Last day to upgrade open content for credit for Fall B
  • December 6, 2024 Fall B Term Ends

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

November 7: Illinois Tech's Massive Online Open Content (MOOC) Webinar - Register here!

Additional Resources

Illinois Tech Academic Calendar

Course Offerings by Session

PBA Quick Start Guide

Get started today

Start your first course or request more information.

Enroll now

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.

Grow your confidence to perform practical applications
Work your way through core courses on statistics, machine learning, project management, big data, and more
Access real-world insights from bona fide experts
Many Illinois Tech faculty members work in the tech industry.
Be ready to do exciting and important work with data
With this master’s degree, you’ll be highly qualified for all kinds of jobs that require data science skills and more.
Get started with no application
Illinois Tech is making their Master of Data Science program more accessible than ever with performance-based admissions. Simply select a course you'd like to start with, and perform in the course with a "B" or better, and you're on your way!

Admissions Information

Important Dates

Fall B - Enrollment deadline was October 21st

  • November 15, 2024: Last day to upgrade open content for credit for Fall B
  • December 6, 2024 Fall B Term Ends

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

November 7: Illinois Tech's Massive Online Open Content (MOOC) Webinar - Register here!

Additional Resources

Illinois Tech Academic Calendar

Course Offerings by Session

PBA Quick Start Guide

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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.

Learn more about the admissions process

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  • $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

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.