Create Your Own Path to Tech Success with ÐÓ°ÉÔ´´ Tech’s M.S. in Computer Science
Building the technical skills to leverage artificial intelligence, big data, and cybersecurity is as valuable now as ever before as rapidly changing technology is impacting all facets of our lives. ÐÓ°ÉÔ´´ Tech’s M.S. in Computer Science allows you to create your own pathway to developing the theoretical and practical skills that employers seek. Gain advanced knowledge in computational theory and understand how to implement those theories receive expert guidance in building a successful career.
Program Overview
Build applicable skills and understand advanced computational theory in artificial intelligence, big data, and cybersecurity in one of three pathways of ÐÓ°ÉÔ´´ Tech’s M.S. in Computer Science: research-driven coursework, master’s-level project, or a thesis.
Career Opportunities
Graduates of our M.S. in Computer Science have found jobs for master’s in computer science such as:
- Data systems designer
- Program developer
- Security systems designer
Gain career-ready experience through Elevate, our unique initiative that guarantees access to internships, research, mentorship, and hands-on learning. Industry partnerships with Jio Creative Labs, Godrej & Boyce, Tata Group, AWS, and other employers bring real-world exposure and career opportunities into your studies.
Curriculum
Here are some courses that are among our M.S. in Computer Science students’ favorites:
CS 554 Data-Intensive Computing You’ll explore distributed computing fundamentals and design strategies for cloud, grid, and supercomputing in this course. It is ideal for advanced students who are ready to tackle large-scale data challenges.
CS 558 Advanced Computer Security Gain a robust foundation in cybersecurity, from malware to smart grid protection, in this course. You’ll work on research projects and explore real-world security topics that prepare you for the field.
CS 577 Deep Learning Learn about deep neural networks for applications in vision, language, and audio processing in this course. It also covers essential math, programming, and GPU frameworks to build adaptable artificial intelligence models.
Sample Curriculum
| Master of Science in Computer Science | |||
|---|---|---|---|
| Year 1 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 425 | 3 | SN Core - CS 546 | 3 |
| CS 430 | 3 | AI/ML Core - CS 584 | 3 |
| SEPL Core - CS 536 | 3 | CSP 571 | 3 |
| AI/ML Core - CS 581 | 3 | ||
| Total | 12 | Total | 9 |
| Year 2 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| SN Core - CS 542 | 3 | DCC Core - CS 525 | 3 |
| AI/ML Core - CS 577 | 3 | TA Core - CS 535 | 3 |
| MATH 564 or COM 523 | 3 | AI/ML Core - CS 512 | 3 |
| Total | 9 | Total | 9 |
| Total Credit Hours | 39 | ||
| CS 425 and CS 430 are bridge courses for students who do not have a bachelor degree in computer science; therefore, the credit hours are above and beyond those required for the degree. | |||
Admissions Requirements
You must complete the ÐÓ°ÉÔ´´ Tech graduate application, regardless of which graduate program you wish to pursue. Visit our ÐÓ°ÉÔ´´ Tech Mumbai graduate admission webpage to learn more about what information and documents you need to apply.
Tuition and Fees
To learn about ÐÓ°ÉÔ´´ Tech Mumbai’s general tuition and fees, please visit our Tuition and Aid webpage.
