The Master of Computer Science from University of Illinois offers a comprehensive online program with two specialized tracks in Computer Science and Data Science. Students complete 8 courses focusing on advanced computer science topics, combining theoretical foundations with practical applications.
Instructors:
English

Course Start Date:
Starting soon
Application Deadline:
15th Oct, 2025
Duration:
12-36 Months
Upcoming Events
₹ 16,46,720 - 20,63,712
Overview
This program offers a comprehensive computer science education from one of America's top 5 computer science schools. Students can choose between Computer Science and Data Science tracks, with coursework covering advanced topics in AI, databases, parallel computing, and more. The flexible online format allows completion in 12-36 months.
Why MSc (Master of Science)?
The program stands out for its prestigious faculty, comprehensive curriculum, and flexibility. Students benefit from the university's research excellence and pioneering legacy in computer science. The pay-as-you-go tuition model and online format make it accessible for working professionals.
What does this course have to offer?
Key Highlights
Accredited by Higher Learning Commission
Top 5 Computer Science School
Two specialized tracks available
Flexible 12-36 month completion
Pay-as-you-go tuition
32 credit hours total
800,000+ alumni network
Who is this programme for?
Computing professionals seeking advancement
Data science enthusiasts
Software engineers
Technology leaders
Research-oriented professionals
Minimum Eligibility
Bachelor's degree in Computer Science or related field
Proficiency in object-oriented programming
Strong academic background
GRE scores (optional)
English language proficiency
Who is the programme for?
The Master of Computer Science program maintains rigorous admission standards to ensure student success. Applicants should have a strong background in computer science or related field. The program follows a semester system with three intake periods annually.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum consists of 8 courses (32 credit hours) covering advanced computer science topics. Students can choose between Computer Science and Data Science tracks, each offering specialized coursework in areas like AI, databases, parallel computing, and big data analytics.
There are 13 semesters in this course
The program combines theoretical foundations with practical applications across 8 comprehensive courses. Core topics include artificial intelligence, database systems, parallel computing, graphics, and networking. The Data Science track emphasizes big data processing and analytical techniques. Each course incorporates hands-on projects and interactive learning components.
Artificial Intelligence and Machine Learning
Database and Information Systems
Interactive Computing
Parallel Computing
Programming Languages and Software Engineering
Scientific Computing
Security and Privacy
Systems and Networking
Cloud Computing (DS Track)
Data Mining (DS Track)
Data Visualization (DS Track)
Machine Learning (DS Track)
Advanced Coursework
Programme Length
The program offers flexible completion between 12-36 months, with courses requiring 10-12 hours per week. Students can take breaks between terms without penalty, allowing them to balance studies with other commitments.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Abel Bliss Professor of Engineering and Department Head
Nancy M. Amato is the Interim Director of the Siebel School of Computing and Data Science and the Abel Bliss Professor of Engineering at the University of Illinois Urbana-Champaign. She holds degrees in Mathematical Sciences and Economics from Stanford University, along with M.S. and Ph.D. degrees in Computer Science from UC Berkeley and the University of Illinois. Previously a professor at Texas A&M University, Amato's research focuses on algorithmic contributions to robotics, particularly in task and motion planning, computational biology, and parallel computing. She has mentored numerous students, emphasizing support for those from underrepresented groups in computing, and has graduated 29 PhD students, many of whom have pursued academic careers. Amato has held leadership roles in various professional organizations, including the CRA Board and the IEEE Robotics and Automation Society, and she is committed to broadening participation in computing. Her accolades include the Distinguished CS Alumnus Award from UC Berkeley, the IEEE RAS Saridis Leadership Award, and she is a Fellow of AAAI, AAAS, ACM, and IEEE.
Professor of Computer Science
Matthew Caesar is a faculty member at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign, where he focuses on simplifying the management and improving the reliability of distributed systems and networks. He earned his Ph.D. in Computer Science from the University of California, Berkeley, in 2007. His research interests include the design, analysis, and implementation of large-scale distributed systems, with a particular emphasis on network operations, measurement, and availability. Dr. Caesar aims to enhance the performance and availability of Internet infrastructure components such as routing, DNS, and data centers. He teaches various courses related to the Internet of Things and computer networking, including CS 437 (Topics in Internet of Things) and ECE 435 (Computer Networking Laboratory).
Tuition Fee
Pay-as-you-go tuition totals ₹16,46,720 to ₹20,63,712, paid per course; financial aid is available through federal student aid, and you can pause studies between terms without penalty
Fee Structure
Payment options
Financial Aid
Learning Experience
Students engage through on-demand lectures, interactive quizzes, and virtual office hours. The program emphasizes hands-on learning with practical projects and peer collaboration through discussion boards.
University Experience
The university provides comprehensive online resources including virtual office hours, discussion forums, and technical support. Students join a global network of 800,000+ alumni and gain access to career development resources.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

About the University
Founded in 1867, UIUC is a public land-grant research university and the flagship institution of the University of Illinois system. Established through the Morrill Land-Grant Colleges Act signed by Abraham Lincoln, it has grown into one of America's leading public universities
652million
research expenditure
extensive
faculty research
4thlargest
library system
Affiliation & Recognition
aau member
r1 doctoral
land grant
big ten
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Pioneer in Scientific Visualization and Visual Effects
AJ Christensen serves as a visualization programmer at the National Center for Supercomputing Applications' Advanced Visualization Lab (AVL), where he combines expertise in computer science, animation, and scientific communication to create groundbreaking visual representations of complex data. With a BS in Computer Science from the University of Illinois at Urbana-Champaign, he has established himself as a hybrid programmer and visual designer, contributing to major productions including IMAX films "Hubble 3D" and "A Beautiful Planet," as well as the groundbreaking black hole visualization in Christopher Nolan's "Interstellar" with Double Negative studio
Expert in Agricultural Finance and Farm Management Education
Ailie Elmore serves as an academic instructor in the Department of Agricultural and Consumer Economics (ACE) at the University of Illinois Urbana-Champaign, bringing practical farming experience and academic expertise to her teaching role. With both a Bachelor of Science in Agricultural and Consumer Economics and a Master of Science in Agricultural and Applied Economics from UIUC, she specializes in the intersection of agriculture and finance. Her unique perspective comes from growing up on and continuing to work with her family's grain farming operation in Montgomery County, Illinois. She teaches a comprehensive range of courses including farm management, investment planning, personal finance, small business finance, and sales. Through Coursera, she leads several courses including "Agriculture as an Asset Class," "Issues in Supply Chain Management," and "Strategies and Tools to Mitigate Agricultural Risk," sharing her expertise in agricultural finance and risk management with a global audience. Her passion for commercial agriculture and its financial aspects drives her commitment to educating the next generation of agricultural professionals.
Career services
UIUC provides comprehensive career development through extensive employer partnerships and research opportunities. The university maintains strong connections with leading employers across various sectors, facilitating student success through practical experience and professional preparation

Course Start Date:
Starting soon
Application Deadline:
15th Oct, 2025
Duration:
12-36 Months
Upcoming Events
₹ 16,46,720 - 20,63,712
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.