Best University In India, Rajasthan

Unique Features

Offers focused tracks in areas like Artificial Intelligence, Machine Learning, Cybersecurity, Data Science, and High-Performance Computing, supporting thesis-based research and innovation.
Curriculum designed in collaboration with tech industry leaders to ensure relevance and practical applicability, including guest lectures, live projects, and mentorships.
Advanced labs equipped with cutting-edge technologies such as GPUs for deep learning, simulation tools, and IoT development kits to support high-level R&D.
Encouragement and guidance for publishing research papers in reputed journals and conferences, with institutional support for patent filing and tech-transfer initiatives.
Startup incubation facilities and innovation cells foster entrepreneurial thinking and assist students in launching technology ventures.
Integration of NPTEL/SWAYAM/MOOC platforms and certifications from companies like Google, IBM, and Microsoft to enhance learning flexibility and employability.

Programme Outcomes

PO1 – Advanced Knowledge Application: Apply advanced computing theories, algorithms, and mathematical models to solve complex engineering problems in computer science and related domains.
PO2 – Research and Innovation: Conduct independent research leading to innovative solutions, publishable work, or technological advancements in specialized areas of computer science.
PO3 – System Design and Development: Design and develop software systems and architectures that are secure, scalable, efficient, and meet user and organizational requirements.
PO4 – Use of Modern Tools: Utilize modern computing platforms, development tools, and simulation environments to model, analyze, and implement high-end computing systems.
PO5 – Ethics and Professional Responsibility: Exhibit ethical conduct, professional integrity, and a commitment to sustainable development while designing or applying computing technologies.
PO6 – Effective Communication and Team Collaboration: Communicate technical knowledge clearly and effectively, and function productively in multidisciplinary teams for collaborative research and development.
PO7 – Lifelong Learning and Adaptability: Engage in continuous learning to stay abreast with rapidly evolving technologies and methodologies in the computing field.
PO8 – Project and Innovation Management: Demonstrate project management skills and entrepreneurial mindset to plan, execute, and lead complex technology-driven initiatives or research projects.

Programme Structure/Design

Duration – 2 Years (04 Semesters)
Mode of Instruction - English

Master of Technology in Computer Science