B Tech in Computer Science & Information Technology

B.Tech in Artificial Intelligence and Machine Learning

B. Tech in Artificial Intelligence and Machine Learning is a defined platform to learn basics and advanced programming about computers. This program nurtures aspirants having an interest in grasping computer technology from grass root to zenith. At Symbiosis University of Applied Sciences B. Tech in Artificial Intelligence and Machine Learning course, we co-create an ideal ambience for learning through real-time skill development and support from industry-experienced faculty to unlock a new tomorrow.

Semester-I Semester-II
Applied Mathematics Data Structures
Web Technology AI – Mathematical Concepts
Fundamental of Artificial Intelligence Operating System
Problem Solving and Programming Concepts Natural Language Processing
Database Management System Python Programming
Data Analytics Lab Cognitive Development Skills
Managerial Communication Skills Environmental Studies
IDSC – II (MOOC Course) Internship – I
IDSC – II (MOOC Course)
Semester-III Semester-IV
Machine Learning Machine Learning
Probability and Statistics Computer Networking
Computer Networks BFSI
BFSI Retail
Retail Big Data Analytics
Cloud Computing Software Engineering
Disaster Management Robotics and Automation
Professional Ethics Constitution of India
IDSC – II (MOOC Course) Entrepreneurship Development
Internship – I
IDSC – II (MOOC Course)
BFSI and Retail subjects are part of domain which is sector based. Students will continue the same domain up to 6th semester.
Semester-V Semester-VI
Reinforcement Learning Advanced Machine Learning
Computer Vision Blockchain Technology
Advanced Algorithms Cyber Security
IoT and Edge Computing AI Ethics and Governance
Research Methodology BFSI Retail
BFSI Project Management
Retail Global Business Environment
Leadership and Team Management Internship – II
IDSC – II (MOOC Course) IDSC – II (MOOC Course)
BFSI, Retail, Research Methodology and AI Ethics and Governance subjects are part of domain which is sector based. Students will continue the same domain up to 6th semester.
Semester-VII Semester-VIII
Advanced Natural Language Processing Six Months – Internship
AI For Business Applications Seminar
Capstone Project
Organizational Skills

Click Here to View Fees For Indian Students.

Discretionary Quota

Few Seats are reserved for Discretionary Quota Seats. Only students with a high academic record are considered for Discretionary Quota Seats. The fees for Discretionary Quota Seats will be double the Academic fees for Indian Students to be paid to the University.

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