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Programmes

B. Tech. in Artificial Intelligence and Data Science

Overview

The programme delves deeply into the forefront of Artificial Intelligence (Al) technologies, exploring their dynamic influence across various industries. This influence extends beyond reshaping decision-making paradigms to fundamentally transforming the landscape of data interactions. The curriculum, thoughtfully designed for students with varying proficiency levels, covers foundational principles and advanced insights into Al.

Duration

Four Years / Eight Semesters

Commence of the course

Course Duration

Four Years

Mode of Study

Eligibility

B. Tech. (Regular)

10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology / Biology / Technical Vocational Subject.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.

B. Tech. (Lateral)

Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST / OBC (non-creamy layer)/ Differently Abled.

Key Features

Cutting-edge syllabus incorporating advanced techniques in AI and Data Science.

Theoretical and practical sessions on ChatGPT, Open AI, and Generative AI.

Hands-on capstone projects, guided by faculty and industry experts.

Coding classes and profile-building workshops by core AI companies.

Workshops on the design and deployment of computer vision models, AI models, and real-time problem-solving, led by industry experts.

Computer Vision Hackathon in collaboration with leading AI industry professionals.

Well-equipped lab facilities, featuring a center of excellence akin to Apple and IBM.

Career mentorship sessions conducted by academic and industry experts.

Development of a comprehensive skill set encompassing programming, design, and project management.

Programme Structure

First Semester
  • Engineering Mathematics - I
  • Engineering Graphics
  • Basics of Electrical & Electronics Engineering
  • Engineering Chemistry
  • Soft Skills -I
  • Advicing Seminar
  • Universal Human Values
Second Semester
  • Verbal Ability 1
  • Engineering Physics -I
  • Biology
  • The Joy of Computing
  • Engineering Mathematics - II
  • Analytical Skills -I
  • Product Design & Realization
Third Semester
  • Engineering Physics II
  • Discrete Mathematics
  • Analytical Skills -II
  • Database Management System
  • Computer Organization and Architecture
  • Social Internship
  • Open Elective 1
  • Object Oriented Programming
Fourth Semester
  • Design Project I
  • Soft Skills -II
  • Logical &Critical Thinking-I
  • Verbal Ability -I
  • Probability, Statistics
  • Data Structure and Algorithms
  • Digital System Design
  • Elective 1
  • Elective 2 (Industrial Certification 1)
Fifth Semester
  • Design Project II
  • Computer Networks
  • Operating Systems
  • Data Analytics & Visualization
  • Logical &Critical Thinking -II
  • Verbal Ability -II
  • Introduction to IoT
  • Elective 3
  • Elective 4 (Industrial Certification 2)
Sixth Semester
  • Machine Learning
  • Design and Analysis of Algorithms
  • Software Engineering and Architectural Patterns
  • Numerical Methods with Python
  • Gender Studies
  • Elective 5
  • Parallel and Distributed Computing
  • Soft Skills
  • Aptitude
  • Verbal Ability
Seventh Semester
  • Sustainable Development Goals
  • Cyber Security
  • Environment Science
  • Capstone Design -I
  • Internship
  • Computer Graphics
  • Full Stack Development
Eighth Semester
  • Constitution of India
  • Professional Ethics
  • Open Elective 2
  • Capstone Design -II
Professional Elective Courses
  • Big Data Analytics
  • IoT Data Analytics
  • Image and Video analytics
  • Computer Vision and Multimodal Interaction
  • Cryptography and Network Security
  • Mobile Application Development

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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