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Offered by Illinois Institute of Technology
Degree admission is entirely performance-based. Bachelor's degree is required.
33 credit hours of graduate coursework
(About $455 x 33 credits = $15,000), with pay-as-you-go tuition for each course.
You may be eligible to have your prior learning on Coursera recognized for credit.
In this program, you’ll find a blend of mathematics, statistics, and computer science. You’ll learn how to analyze data, how to visualize results, and how to articulate discoveries. Work your way through core courses on statistics, machine learning, project management, big data, and more—then round out your data science education with electives that cover subjects such as algorithms and operating systems. It all culminates with a practicum capstone course where you’ll combine what you learn throughout the program.
Hear from Professor Kiah Ong about the pathway courses and the Master of Data Science program
If you're interested in viewing a complete list of the Illinois Tech online course offerings on Coursera visit this page.
Spring A - Enrollment deadline is January 28th
Spring B - Enrollment deadline is March 31st
Stay tuned
Spring A - Enrollment deadline is January 28th
Spring B - Enrollment deadline is March 31st
Stay tuned
Build a solid foundation for computer science expertise, with key programming concepts and problem-solving techniques using Python, one of the most widely used and versatile programming languages.
A focus on real-life problems and practical exercises will provide you with a strong working knowledge and sought-after computer science skills.
You’ll build computing-specific academic skills across two distinct areas:
Qualitative reasoning skills: Exploring computer ethics, you’ll learn to think critically and communicate effectively about legal, moral and ethical issues related to your field of study.
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