Online Master of Computer Science
Complete a Master’s degree at your own pace, at your own place! Busy professionals can complete a degree online while they continue to meet their current life and career obligations. Illinois Computer Science has partnered with Coursera to use its massive open online course (MOOC) platform to offer the MCS to students in a more flexible and affordable way than is possible on campus. Students can earn the Online MCS in as little as one year, or in as many as five years.
The Online MCS program is a non-thesis (coursework-only) degree that requires 32 credit hours of graduate coursework, completed through eight graduate-level courses each at the four credit hour level. The MCS requires that four of these eight courses are chosen from unique "core" areas of computer science, and that three of these eight courses must be at the advanced graduate level (500-level). The Online MCS currently offers coursework in the core areas of artificial intelligence, databases, human-computer interaction, software engineering, scientific computing and high-performance computing.
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. 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.
|Parallel Computing:||CS 484 Parallel Computing (Spring)|
|Artificial Intelligence:||CS 498 Applied Machine Learning (Spring)|
|Database and Information Systems:||CS 410 Text Information Systems (Fall)
CS 411 Database Systems (Spring)
CS 412 Introduction to Data Mining (Spring)
|Programming Languages & Software Engineering:||CS 421 Programming Languages and Compilers (Spring)
CS 427 Software Engineering I (Fall)
|Graphics/HCI:||CS 498 Data Visualization (Summer)|
|Systems and Networking:||CS 425 Cloud Computing Concepts (Fall)
CS 498 Cloud Computing Applications (Spring)
CS 498 Cloud Networking (Fall)
|Scientific Computing:||CS 450 Numerical Analysis (Fall)|
Must complete three courses (12 credit hours).
- CS 513 Theory and Practice of Data Cleaning (Summer)
- CS 598 / IS 531 Foundations of Data Curation (Fall)
- CS 598 / STAT 542 Practical Statistical Learning* (Fall)
- CS 598 / STAT 578 Advanced Bayesian Modeling (Spring)
- CS 598 Cloud Computing Capstone* (Fall & Summer)
- CS 598 Data Mining Capstone* (Spring & Summer)
- * Prerequisites apply. Please see printable Online MCS Degree Requirements document.
- STAT 420 Methods of Applied Statistics (Summer)
- 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 427 Software Engineering I (starting Fall 2018)
CS 450 Numerical Analysis (starting Fall 2019)
CS 498 Cloud Networking (starting Fall 2018)
CS 598 Foundations of Data Curation
CS 598 / STAT 578 Advanced Bayesian Modelling
CS 598 / STAT 542 Practical Statistical Learning (starting Fall 2018)
CS 598 Cloud Computing Capstone
CS 411 Database Systems
CS 412 Intro to Data Mining
CS 421 Programming Languages and Compilers (starting Spring 2019)
CS 484 Parallel Computing (starting Spring 2019)
CS 498 Cloud Computing Applications
CS 498 Applied Machine Learning
CS 598 Data Mining Capstone
CS 498 Data Visualization
STAT 420 Methods of Applied Statistics
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.