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Bachelor of Science (B.Sc) in Artificial Intelligence (AI) and Machine Learning (ML)

Programme Coordinator

Basic Information

Ms Poonam A Lakra
MCA

Bachelor of Science (B.Sc) with specialization in Artificial Intelligence (AI) and Machine Learning (ML)

The Bachelor of Science (B.Sc) with specialization in Artificial Intelligence (AI) and Machine Learning (ML) is a 4-year undergraduate program that focuses on providing students with a strong foundation in computer science and specialized training in AI and ML. The program is designed to prepare students for a career in AI and Machine Learning and to master in-demand skills like ML, deep learning, NLP, computer vision, reinforcement learning, generative AI, prompt engineering, and ChatGPT among other AI and ML tools. Students will learn how to develop AI and ML-based applications and algorithms, as well as how to analyze and interpret data using statistical and machine-learning techniques. Through projects and internships, the program offers practical training in addition to theoretical understanding. Students will work on real-world issues and acquire employability-boosting practical skills. Upon completing the program, students will have a strong foundation in computer science, as well as specialized skills in AI and ML. Graduates of this program can pursue careers as AI and ML engineers, data analysts, software developers, research scientists, and other related roles in the technology industry.

Programme Structure

Semester Major Minor MDC SEC
I Python Programming and Data Structure (P) Introduction to Python Programming (P) Discrete Mathematics AI Tools
II Introduction to AI and Machine Learning (P) Introduction to Artificial Intelligence Probability and Statistics using R AI Ethics and IPR
III Object Oriented Programming using Java (P) AI Tools (P) Design and Analysis of Algorithm Cyber Security and Ethical Hacking
Operating System (P)
IV Advanced Machine Learning(P) Machine Learning
Computer Networks
Web Application Development (P)
V Internet of Things (P) Knowledge Representation using AI
Knowledge Database Management System (KDBMS) AI for IOT (P)
VI Deep Learning & Image Processing AI Ethics and IPR
Natural Language Processing (P) Introduction to NLP
AI and Knowledge Representation
VII Big Data Analytics Introduction to Cloud Computing
Neural Network and Applications of AI using Tensorflow (P)
Cloud Computing
VIII MOOCs Cyber Security and Ethical Hacking
Capstone Industrial Projects (RP)

Career path you can choose after the course

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Analyst/ Data Scientist
  • Business Intelligence Analyst
  • Big Data Engineer
  • Cloud Architect
  • Technical Writer

Take the next step toward a career in Artificial Intelligence Technology.