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Admissions Open 2025 ||

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B.E

Artificial Intelligence & Machine Learning

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Affiliated To Savitribai Phule Pune University

24-hours 1

4 Years Full-Time Course

24-hours 1

Approved by AICTE

Program Overview

The B.E in Artificial Intelligence and Machine Learning at ASM NextGen Technical Campus is a four-year degree program that equips students with advanced skills in intelligent data analysis—essential in numerous real-world applications. With rapid advancements in technology, machine learning has emerged as one of the most dynamic, high-growth, and rewarding career paths in the tech industry.

This program is designed to provide students with a strong foundation in core technologies such as artificial intelligence, data mining, and data modeling, along with intensive training in machine learning and big data analytics. By the end of the course, students will develop cross-disciplinary expertise across statistics, computer science, logic, and machine learning.

Graduates will be well-prepared for careers in high-impact sectors such as healthcare, business, eCommerce, social media, climatology, biotechnology, genetics, and more. The program emphasizes proficiency in statistical and mathematical reasoning, machine learning techniques, knowledge discovery, and data visualization—skills that are highly valued in today’s AI-driven world.

24-hours 1

Duration : 4 Years

Crowd

Intake : 60

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Last Date To Apply : --/--/2025

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Program Outline

    • Semester-1 Courses:

    1. Linear Algebra and Calculus (LAC)

    2. Quantum Physics (QP)

    3. Quantum Physics Lab (QPL)

    4. Mechanics for Robotics (MFR)

    5. Mechanics for Robotics Lab (MFRL)

    6. Integrated Electrical and Electronics Engineering (IEEE)

    7. Integrated Electrical and Electronics Engineering Lab (IEEEL)

    8. C Programming for Problem Solving (CPPS)

    9. C Programming for Problem Solving Lab (CPPSL)

    10. FAB Lab (FL)

    11. Indian Knowledge System (IKS)

    12. Cocurricular Activity-1 (CCA-1)

    ​

    • Semester-2 Courses:

    1. Statistics and Integral Calculus (SIC)

    2. Chemical Science and Technology (CST)

    3. Chemical Science and Technology Lab (CSTL)

    4. Computer Graphics and Design (CGD)

    5. Computer Graphics and Design Lab (CGDL)

    6. Object Oriented Programming Using C++ (OOPC)

    7. Object Oriented Programming Using C++ Lab (OOPCL)

    8. Innovative Idea and Design Thinking Lab (IIDTL)

    9. Environment and Sustainable Engineering (ESE)

    10. Soft Skills

    11. NPTEL / SWAYAM / MOOCS

    12. Cocurricular Activity-2 (CCA-2)

    • SEMESTER-3 Courses:

      • Program Educational Objectives

      • Program Outcomes

      • Program Specific Outcomes

      • Syllabus Structure

      • Instructions

      • Discrete Mathematics

      • Data Structures and Algorithms

      • Computer Networks

      • Object Oriented Programming

      • Software Engineering

      • Data Structures and Algorithms Laboratory

      • Object Oriented Programming Laboratory

      • Computer Networks Laboratory

      • Humanities & Social Sciences

      • Soft Skill Lab

      • Mandatory Audit Course - 3

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    • SEMESTER-4 Courses:

      • Engineering Mathematics III

      • Operating Systems

      • Fundamentals of Artificial Intelligence and Machine Learning

      • Database Management System

      • Computer Graphics

      • Operating Systems Laboratory

      • Computer Graphics Laboratory

      • Database Management System Laboratory

      • Project Based Learning II

      • Code of Conduct

      • Mandatory Audit Course – 4#

    • SEMESTER-5 Courses:

      • Design and Analysis of Algorithm

      • IoT with Artificial Intelligence

      • Web Technology

      • Management & Entrepreneurship for IT Industry

      • Elective I

      • Software Laboratory I (IoT with Artificial Intelligence)

      • WT Laboratory

      • Elective I Laboratory

      • Seminar / Mini Project

      • Environmental Studies / Community Development

      • Mandatory Audit Course 3*

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    • SEMESTER-6 Courses:

      • Machine Intelligence for Data Science

      • Data Mining & Warehousing

      • Artificial Neural Network

      • Elective II

      • Software Lab II (Machine Intelligence for Data Science & ANN)

      • Software Lab III (DMW & Elective – II)

      • Internship / Skill Development / Global Certification Program

      • Seminar & Technical Communication

      • Mandatory Audit Course 4#

    • SEMESTER-7 Courses:

      • Program Educational Objectives

      • Program Outcomes

      • Program Specific Outcomes

      • Syllabus Structure (Semester-7 & 8)

      • Information Retrieval in AI

      • Cloud Computing

      • Deep Learning for AI

      • Elective -III

      • Elective -IV

      • Lab Practice III

      • Lab Practice IV

      • Project Phase-I

      • Audit Course-7
         

    • SEMESTER-8 Courses:

      • Natural Language Processing

      • Elective -V

      • Elective -VI

      • Startup and Entrepreneurship

      • Lab Practice V

      • Lab Practice VI

      • Project Phase-II

      • Audit Course-8

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