B.TECH (LATERAL ENTRY) in CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) ENGINEERING

GANGA INSTITUTE OF TECHNOLOGY AND MANAGEMENT
College
3 Years
Duration
₹86000.00/year
Fees
Overview
Curriculum
Admission
Career Prospects

Course Overview

The B.Tech in Artificial Intelligence and Machine Learning (AIML) curriculum is a four-year undergraduate engineering program that integrates core computer science foundations with specialized and advanced concepts in Artificial Intelligence and Machine Learning. The program is designed to equip students with the theoretical knowledge and practical skills required to design, develop, and deploy intelligent systems capable of learning from data and solving complex real-world problems.

The curriculum emphasizes programming, mathematics, statistics, algorithms, and data science, alongside advanced AI topics such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement Learning. Through hands-on labs, projects, internships, and capstone work, students gain industry-relevant experience in applying data-driven approaches across domains such as healthcare, finance, robotics, automation, and smart systems.

 

Degree Awarded
Course Level
undergraduate
Course Type
Engineering
Eligibility
3-years Polytechnic Diploma or B.Sc. degree with Maths in 10+2
Entrance Exam
NA
Seats Available
0
Average Package
₹6.00
Highest Package
₹40.00

Curriculum Structure

The B.Tech in Artificial Intelligence and Machine Learning (AIML) curriculum is a four-year undergraduate engineering program that integrates core computer science foundations with specialized and advanced concepts in Artificial Intelligence and Machine Learning. The program is designed to equip students with the theoretical knowledge and practical skills required to design, develop, and deploy intelligent systems capable of learning from data and solving complex real-world problems.

The curriculum emphasizes programming, mathematics, statistics, algorithms, and data science, alongside advanced AI topics such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement Learning. Through hands-on labs, projects, internships, and capstone work, students gain industry-relevant experience in applying data-driven approaches across domains such as healthcare, finance, robotics, automation, and smart systems.

 

Admission Process

The admission to B.Tech Computer Science program is based on entrance exam scores followed by counseling. Here's the step-by-step process:

1
Check Eligibility

Candidate must have passed 10+2 examination with Physics, Chemistry, and Mathematics as compulsory subjects with minimum 60% marks.

2
Appear for Entrance Exam

Appear for BCECE (Bihar Combined Entrance Competitive Examination) or JEE Main. The college accepts scores from both examinations.

3
Online Application

Fill the online application form on the college website during the application window (typically May-June).

4
Counseling Process

Shortlisted candidates will be called for counseling based on their entrance exam rank. Document verification and seat allotment happens during counseling.

5
Fee Payment & Enrollment

Selected candidates need to pay the admission fee and complete the enrollment process to confirm their seat.

Career Opportunities

A B.Tech in Artificial Intelligence and Machine Learning (AIML) prepares graduates for a high-growth, future-ready career at the forefront of the technological revolution. This specialized engineering program—often offered as a discipline or specialization within Computer Science—focuses on the design and development of intelligent systems capable of learning from data, adapting to new inputs, and making autonomous decisions.

The curriculum integrates core computer science foundations with advanced topics such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science, and Reinforcement Learning, supported by strong training in mathematics, statistics, programming, and algorithms. Emphasis on hands-on projects, real-world datasets, internships, and industry tools prepares graduates for roles like AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, and Research Engineer across sectors including IT, healthcare, finance, autonomous systems, robotics, and smart technologies.

 

Top Recruiters

  • TCS
  • Infosys
  • Wipro
  • LG

Apply for This Course

Application Deadline
February 04, 2026
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