Online Master of Computer Science
Students receive lectures through Coursera's massive open online course (MOOC) platform, but are advised and assessed by Illinois faculty and teaching assistants on the more rigorous set of assignments, projects, and exams required for university degree credit.
Students specifically interested in a data science focus should consider the University of Illinois Master of Computer Science in Data Science (MCS-DS) Track.
Who may apply? Applicants should 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 prerequisite coursework or commensurate experience in object-oriented programming, data structures, algorithms, linear algebra, and statistics/probability. Applicants without this can strengthen their application for admission by passing the optional Data Structures Proficiency Exam. The recommended undergraduate GPA for applicants applying to the Professional Master's program is a 3.2/4.0 or higher. The Department of Computer Science does not require GRE scores for any of its graduate programs. Applications for the MCS do not require letters of recommendation, but they will be considered if included, especially if used to justify experience in lieu of required coursework, or other irregularities.
Note: Each Online MCS course is four credit hours.
Must complete four courses (16 credit hours) each from a different area, from the following core areas with a grade of B- or higher.
CS 498 Applied Machine Learning (Spring - not available in Spring 2020)
|Database and Information Systems:||CS 410 Text Information Systems (Fall)
CS 411 Database Systems (Spring)
CS 412 Introduction to Data Mining (Spring)
|Graphics/HCI:||CS 418 Interactive Computer Graphics (Spring 2020)
CS 498 Data Visualization (Summer)
|Parallel Computing:||CS 484 Parallel Computing (Spring)|
|Programming Languages & Software Engineering:||CS 421 Programming Languages and Compilers (Summer)
CS 427 Software Engineering I (Fall)
CS 450 Numerical Analysis (Fall)
|Systems and Networking:|
Must complete three courses (12 credit hours).
- CS 513 Theory and Practice of Data Cleaning (Summer)
- CS 598 Foundations of Data Curation (Fall)
- CS 598 Practical Statistical Learning* (Fall)
- CS 598 Advanced Bayesian Modeling (Spring)
- CS 598 Cloud Computing Capstone* (Summer)
- CS 598 Data Mining Capstone* (Summer)
- * Prerequisites apply. Please see printable Online MCS Degree Requirements document.
- All coursework must be taken through the Coursera MOOC platform.
- Breadth coursework must have a letter grade of B- or higher. Any other course taken for letter grade must have a grade of C or higher.
- Up to 12 credit hours of previous graduate coursework that is approved by the Department of Computer Science (including non-degree graduate courses completed within the Department of Computer Science) may be transferred and applied to the Professional MCS degree requirements.
CS 410 Text Information Systems
CS 425 Distributed Systems (Cloud Computing Concepts)
CS 450 Numerical Analysis
CS 498 Cloud Networking
CS 598 Foundations of Data Curation
CS 598 Practical Statistical Learning
CS 411 Database Systems
CS 412 Intro to Data Mining
CS 418 Interactive Computer Graphics (starting Spring 2020)
CS 445 Computational Photography (starting Spring 2020)
CS 484 Parallel Computing
CS 498 Cloud Computing Applications
CS 498 Applied Machine Learning (not available in 2020)
CS 498 Internet of Things (starting Spring 2020)
CS 598 Advanced Bayesian Modelling
CS 421 Programming Languages and Compilers
STAT 420 Methods of Applied Statistics
CS 498 Data Visualization
CS 513 Theory & Practice of Data Cleaning
CS 598 Data Mining Capstone
CS 598 Cloud Computing Capstone
- Tuition: $670 per credit hour, for a total of $21,440 for the complete 32 credit hour degree.
- ProctorU fees: Most Online MCS courses require one or more exams. Exams are proctored online through the ProctorU service, which will be billed directly to the student when an exam is scheduled, at $8.75 (30-min. exam), $14.75 (1-hr. exam), $21.50 (90-min. and 2-hour exam), or $30.25 (3-hour exam).
- Other fees: Some courses can require additional fees, such as the Amazon Web Services cloud programming platform used for the cloud computing courses.
The Department of Computer Science does not offer research or teaching assistantships to students enrolled in our online programs, including the Online MCS. The Online MCS program is accredited by the Higher Learning Commission and enrolled students are eligible for financial assistance. See the Office of Student Financial Aid for further information.
If you are interested in receiving updates about the Online MCS, please complete Coursera's Interest Form.