Master of Computer Science - University of Illinois
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.
₹ 18,49,549 - 23,65,633
Course Start Date: 14th Oct, 2026
Application Deadline: 12th Oct, 2026
Duration: 12-36 Months
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
Not sure whether you qualify for this programme?
Admission Overview
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.
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 8 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.
Breadth Area (400-level) Courses
A pool of 400-level courses spanning artificial intelligence, databases and information systems, graphics/HCI, parallel computing, scientific computing, security and privacy, systems and networking, and theory and algorithms, from which students select a minimum of 4 courses across different subject areas
CS 440: Artificial Intelligence
CS 441: Applied Machine Learning
CS 445: Computational Photography
CS 446: Machine Learning
CS
Advanced Coursework (500-level) Courses
A pool of 500-level advanced electives requiring a minimum of 3 completed courses, covering data cleaning, scientific visualization, data curation, statistical learning, Bayesian modeling, healthcare-focused deep learning, and cloud computing/data mining capstones
CS 513: Theory and Practice of Data Cleaning
CS 519: Scientific Visualization
CS 598: Foundations of Data Curation
CS 598: Practical Statistical Learning
CS 598:
Artificial Intelligence Graduate Track
A specialization track requiring three courses completed with a B− or higher, focused on machine learning, computational photography, and natural language processing, with an advanced healthcare-focused deep learning option
CS 440 Artificial Intelligence
CS 441 Applied Machine Learning
CS 445 Computational Photography
CS 446 Machine Learning
CS 447 Natural Language Processing
CS 598 Deep Learning for Healthcare
Data Science Graduate Track
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Graphics and Visualization Graduate Track
A specialization track requiring three courses completed with a B− or higher, focused on data visualization, interactive computer graphics, computational photography, and scientific visualization
CS 416 Data Visualization
CS 418 Interactive Computer Graphics
CS 445 Computational Photography
CS 519 Scientific Visualization
Information Systems Graduate Track
A specialization track requiring three courses completed with a B− or higher, focused on text information systems, database systems, data mining, and a data mining capstone
CS 410 Text Information Systems
CS 411 Database Systems
CS 412 Introduction to Data Mining
CS 598 DM Data Mining Capstone
Networked and Distributed Systems Graduate Track
A specialization track requiring three courses completed with a B− or higher, focused on distributed systems, cloud networking, cloud computing applications, and a cloud computing capstone
CS 425 Distributed Systems
CS 435 Cloud Networking
CS 498 Cloud Computing Applications
CS 598 Cloud Computing Capstone
Software Engineering Graduate Track
A specialization track requiring three courses completed with a B− or higher, focused on programming languages and compilers, distributed systems, software engineering, and parallel programming
CS 421 Programming Languages and Compilers
CS 425 Distributed Systems
CS 427 Software Engineering I
CS 484 Parallel Programming
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.
Tuition Fee
Pay-as-you-go tuition totals ₹18 49,549 to ₹23,65,633 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
Need help understanding fees, EMI options, or scholarships?
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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
652million
research expenditure
extensive
faculty research
4thlargest
library system
Affiliation & Recognition
Featured 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.
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
₹ 18,49,549 - 23,65,633
Course Start Date: 14th Oct, 2026
Application Deadline: 12th Oct, 2026
Duration: 12-36 Months
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.
The program consists of 8 courses (32 credit hours) that can be completed in 12-36 months
Students should be proficient in at least one compiled object-oriented programming language
Yes, graduates receive the same Master of Computer Science degree with no mention of online delivery


























