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M. Tech. in Artificial Intelligence and Data Science


The Master of Technology in Artificial Intelligence and Data Science offers a specialized focus to empower students with advanced knowledge and skills crucial for success in the ever-evolving domains of AI and Data Science. The curriculum is meticulously designed to provide a comprehensive academic journey, going beyond theoretical concepts to ensure practical insights and hands-on experience in real-world scenarios.

The core courses lay a strong foundation, covering essential aspects such as the mathematical foundations of computer science, data structures, advanced algorithms, and software engineering methodologies. Complementing these are programme-specific electives in AI and Data Science, allowing students to tailor their academic experience based on their career goals. Additionally, open electives offer flexibility and a well-rounded educational experience.

The programmes's uniqueness lies in its emphasis on practical application. Through dissertation and industrial projects, students gain valuable hands-on opportunities to apply theoretical knowledge to real-world challenges. From exploring mathematical foundations to delving into advanced data structures and algorithms, the curriculum ensures a rigorous academic journey that prepares students for both challenges and innovations within the dynamic fields of AI and Data Science.

The inclusion of a blend of core and elective courses enables specialization, ensuring that students acquire not only theoretical knowledge but also develop practical skills essential for success in the professional arena. This holistic approach distinguishes our M. Tech. programme, offering students a well-rounded and tailored educational experience in the cutting-edge fields of AI and Data Science.


Two Years / Four Semesters

Commence of the course

Course Duration

Two Years

Mode of Study


B.E. / B.Tech. with minimum 50% marks or equivalent in CGPA in Computer Science/Information Technology or MCA.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.

Key Features

Active engagement through interactive lectures.

Avenues for research-oriented projects on advancements in AI and Data Science.

Skill development in Apache Hadoop, Python / R programming, and Tableau / Power BI.

Internship integration for professional experience.

Professional networking in esteemed societies such as CSI, IEEE, and ACM.

Programme Structure

Career Opportunities

A multitude of rewarding career paths with networking events, career counseling, and comprehensive support designed to prepare students for various career roles such as Artificial Intelligence Engineer, Data Science Consultant, Data scientists and AI Engineer, Data Scientist / Data Architect, Data Science Manager, Principal / Chief Data Scientist, Data Analyst, Data Warehouse Engineer, Business Intelligence Developer, Computer Vision Engineer, ML Specialist.

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