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M. Tech. in Artificial Intelligence and Data Science

Overview

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 fields 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.

Duration

Two Years / Four Semesters

Commence of the course


Course Duration

Two Years


Mode of Study

Eligibility


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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