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University of Illinois
Earning your master’s degree with the pioneering University of Illinois faculty is an ideal way to launch and advance a successful data science or computer science career.
Data science is transforming our global economy, redefining how we do business, and changing our lives for the better in countless ways. Data scientists are in high-demand across industries, valued for their ability to help businesses make date-driven decisions. If you’re interested in extracting knowledge and insights from massive data sets and are eager to put these skills to work in a rewarding career, then enroll in the Master of Computer Science in Data Science (MCS-DS) program from the University of Illinois today, and start mastering the skills necessary for a successful data science career.
With the MCS-DS, you’ll gain core competencies in machine learning, data mining, data visualization, and cloud computing. You can also dive into interdisciplinary data science courses offered in cooperation with the Department of Statistics and the nation’s top-ranked School of Information Sciences.
The University of Illinois offers a separate, more flexible track for students who are eager to explore several advanced topics in computer science as part of their degree program. This track is ideal for learners who want to build skills in at least four core areas of computer science, choosing from topics that include artificial intelligence, database and information systems, interactive computing, software engineering, scientific computing, and high-performance computing.
As a graduate of this program, you’ll be able to apply mathematical foundations, algorithmic principles, and computer science theory to real-word problems, and you’ll know how to analyze a problem and identify the computing requirements appropriate to its solution. You’ll also possess the skills to design, implement, and evaluate a computer-based system, process, component, or program, and apply design and development principles to construct software systems of varying complexity.
Each course requires 10 – 12 hours per week, depending on the student’s background
Application Deadline: February 15, 2021
The next cohort starts in Summer 2021.
Applications are open three times per year, for cohorts starting in the fall, spring, and summer.
Update: In response to the temporary closings of testing centers in countries impacted by COVID-19, the Graduate College will temporarily accept Duolingo English Test examination results for tests taken between February 1 and August 1, 2021. Please refer to the Graduate College COVID-19 page for further details on how admissions requirements may have been impacted by COVID-19.
You don’t have to wait to get started towards your MCS degree — you can try out an open course online and begin learning today. If you later apply and are admitted to the degree program, your assignments completed in open courses can count toward completion of degree courses.
Also, if you do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming, check out our new Accelerated Computer Science Fundamentals Specialization that is designed to help you prepare for the Data Structures Proficiency Exam, which can strengthen your application for admission.
Applicants must hold a 4-year bachelor's degree (or equivalent). Students with a bachelor’s degree in a field other than CS are encouraged to apply, but to succeed in graduate-level CS courses, they must have prerequisites in object-oriented programming, data structures, algorithms, linear algebra, and statistics.
Learn more about admissionsThe Master of Computer Science (MCS) is a degree program that includes advanced coursework in artificial intelligence, databases, interactive computing, software engineering, scientific computing, and high-performance computing. A well-known track specifically for studies in data science (the MCS-DS) is available.
Learn more about academicsJoin the ranks of technology industry visionaries who have degrees from Illinois Computer Science, including founders and leaders of Match.com, Microsoft, Netscape, PayPal, YouTube, and Yelp.
Learn more about careersStudents watch lectures at their own pace on the Coursera platform. They are also advised and assessed by Illinois faculty and teaching assistants on rigorous assignments, programming projects, and comprehensive exams.
Learn more about student experienceFrom ILLIAC (one of the earliest computers) to Blue Waters (the fastest university supercomputer), from the first vectorizing compilers to LLVM (the modern industry-standard compiler), and from Mosaic (the first popular web browser) to the launch of YouTube and many other internet startups, Illinois Computer Science continues to define the forefront of computing education, innovation, and research.
Learn more about University of IllinoisWondering if the Master of Computer Science or Master of Computer Science in Data Science is right for you? Preview the curriculum and get started today!
Try a degree courseAdmissions Webinar at 11 am US CT | Register now
Application deadline for Summer 2021 cohort - Start your application here.
Remember, your application needs to be paid and submitted by 11:59pm US Central Time on February 15.
"There are some 200,000 jobs in the data sciences that go unfilled each year. The MCS-DS degree unlocks those career opportunities. The main thing that we learn from the students is that they value practice and you have to show how what you're talking about in the fundamentals and the theory actually applies to the real world." - John Hart, Professor of Computer Science and Director of Online and Professional Programs at the University of Illinois at Urbana-Champaign
The National Science Foundation and the U.S. Department of Agriculture’s National Institute of Food and Agriculture have announced the launch of seven new national AI institutes, and two of them will be based at the University of Illinois at Urbana-Champaign. Professor Vikram Adve will lead the AI Institute for Future Agricultural Resilience, Management, and Sustainability (AIFARMS), and Professor Huimin Zhao will lead the AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing, also known as the Molecule Maker Lab Institute.
Jen-chien Yu, a student in the University of Illinois at Urbana-Champaign’s Master of Computer Science in Data Science (MCS-DS) program, is a wonderful example of how online learners can immediately start to apply their new knowledge to their professional field. Yu has been able to apply skills in areas of study like Machine Learning, Data Visualization, Data Mining, and Cloud Computing to her work in library assessment.
The National Science Foundation and the U.S. Department of Agriculture’s National Institute of Food and Agriculture have announced the launch of seven new national AI institutes, and two of them will be based at the University of Illinois at Urbana-Champaign. Professor Vikram Adve will lead the AI Institute for Future Agricultural Resilience, Management, and Sustainability (AIFARMS), and Professor Huimin Zhao will lead the AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing, also known as the Molecule Maker Lab Institute.
Jen-chien Yu, a student in the University of Illinois at Urbana-Champaign’s Master of Computer Science in Data Science (MCS-DS) program, is a wonderful example of how online learners can immediately start to apply their new knowledge to their professional field. Yu has been able to apply skills in areas of study like Machine Learning, Data Visualization, Data Mining, and Cloud Computing to her work in library assessment.
Yes. Students admitted to the degree program, who complete all degree requirements, will earn a Master of Computer Science degree and diploma from the University of Illinois.
To earn the accredited degree, you must be admitted as a degree-seeking student through the Graduate College at the University of Illinois. However, you may begin taking courses and Specializations on Coursera at any time, including prior to admission into the program. For more information, visit here.
You may either apply and commit to the full Master of Computer Science program immediately, or start with a Data Mining or Cloud Computing Specialization on Coursera and build toward the full degree. If you’re sure you want to earn an accredited Master of Computer Science, apply for admission to the degree program. However, if you’re not certain that the full program is right for you, you can complete one or more Specializations prior to applying. If you decide to apply later, you’ll still need to complete the for-credit courses to earn your degree, but you won’t need to take the Specializations again.
If you’re even a little bit interested in the full degree program, we suggest requesting more information by completing the form above. This option allows you to learn more about the application process and program requirements with no immediate commitment.
Coursera financial aid is available for the Specializations component of the program.
Domestic students may qualify for Federal Student Aid, since the Master of Computer Science, like all Illinois degrees, is accredited by the Higher Learning Commission.
Yes, each course or Specialization is available separately.
To earn credit from the University of Illinois, you must be admitted as a degree-seeking student and registered for credit-bearing course(s).
We expect Masters-level CS students to be able to learn new languages in order to use the best tool to solve a problem, but we try to be flexible with languages when possible to allow students to program in the language in which they are most comfortable. Students should already be proficient in at least one compiled object-oriented programming language.
Sign up here to request more information. Additional details about applying to the Master of Computer Science are available at here.
If after reviewing all the information on our website and you have questions, you can email the Illinois MCS team at online-mcs@cs.illinois.edu.
An advisor is available online every Friday (other than campus holidays), 11:00 AM - 12:00 PM U.S. Central Time, to answer your questions. Several options are available to join these sessions: Join from PC, Mac, Linux, iOS or Android: https://illinois.zoom.us/j/537909850 Or one-tap mobile: +16699006833,,537909850# US (San Jose) or +19292056099,,537909850# US (New York)
Or Telephone: Dial (for higher quality, dial a number based on your current location): +1 929 205 6099 US (New York) or +1 669 900 6833 US (San Jose) , Meeting ID: 537 909 850 International numbers available: https://zoom.us/u/aboFoPVVco
Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution.