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Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Specialization: Computer Science & Engineering - Artificial Intelligence and Machine Learning

The programme is designed for students seeking expertise in computing along with a focused specialization in artificial intelligence and machine learning. It combines classroom learning, practical training, project-based work, internships, and industry exposure to prepare students for careers in AI-driven software development, data science, and research roles.

Duration

4 years

Fees Range

₹35K₹27.5 LPA

Avg Salary

₹5.0 LPA₹16.4 LPA

Semesters

8

Key Highlights

Course Level

Undergraduate

Duration

4 years (8 semesters)

Course Type

Full-time

Admission Process

Entrance exam based (JEE Main, JEE Advanced, WBJEE, VITEEE, CUET)

Eligibility

10+2 with Physics, Chemistry, and Mathematics, minimum 50% marks

Average Course Fees

INR 34,600 - 27,50,000

Average Starting Salary

INR 7.57 LPA

About B.Tech in CSE (Artificial Intelligence and Machine Learning)

Students learn core computer science concepts alongside specialized AI/ML subjects such as neural networks, deep learning, natural language processing, and computer vision. The curriculum blends theoretical foundations with hands-on projects and internships, enabling graduates to pursue roles across technology, product, and research-driven organizations, as well as pathways to higher studies such as MTech or an MBA.

Eligibility Criteria

Min Percentage

50%

Age Limit

No upper age limit

Required Subjects:

PhysicsChemistryMathematics

Candidates must have passed the 10+2 examination from a recognised board with Physics, Chemistry, and Mathematics as compulsory subjects, securing a minimum of 50% aggregate marks. Admission generally requires a valid entrance exam score such as JEE Main, JEE Advanced, WBJEE, VITEEE, or CUET, along with institute-level selection processes where applicable.

Entrance Exams

JEE MainJEE AdvancedWBJEEVITEEECUET

Admission Process

1

Complete qualification

Finish 10+2 with the required subjects and minimum marks from a recognised board.

2

Register for entrance exam

Register for the relevant entrance examination or institute-level application process.

3

Appear for examination

Appear for the entrance exam or selection process as required by the chosen institute.

4

Counselling

Participate in counselling or admission rounds based on exam scores or merit.

5

Select institution

Choose preferred institutions based on rank, fees, and placement outcomes.

6

Document verification

Complete document verification as required by the institute.

7

Confirm admission

Confirm admission by paying the prescribed course fee.

Syllabus

Semester 1

  • Engineering Mathematics-I
  • Programming Fundamentals
  • Engineering Physics
  • Basic Electrical and Electronics Engineering
  • Communication Skills

Semester 2

  • Engineering Mathematics-II
  • Data Structures
  • Object Oriented Programming
  • Digital Logic Design
  • Environmental Studies

Semester 3

  • Discrete Mathematics
  • Database Management Systems
  • Computer Organization and Architecture
  • Design and Analysis of Algorithms

Semester 4

  • Operating Systems
  • Probability and Statistics for AI
  • Artificial Intelligence Fundamentals
  • Software Engineering

Semester 5

  • Machine Learning
  • Computer Networks
  • Neural Networks and Deep Learning
  • Mini Project-I

Semester 6

  • Natural Language Processing
  • Computer Vision
  • Big Data Analytics
  • Elective-I

Semester 7

  • Reinforcement Learning
  • Cloud Computing
  • Industry Internship
  • Elective-II

Semester 8

  • Capstone Project
  • AI Ethics and Governance
  • Elective-III
  • Seminar

Top Job Roles

Software Developer

₹6.0 LPA avg

Builds and maintains software applications, often integrating AI/ML-based features.

Machine Learning Engineer

₹9.0 LPA avg

Designs, trains, and deploys machine learning models for real-world applications.

Data Scientist

₹10.0 LPA avg

Analyzes complex datasets to extract insights and build predictive models.

AI Research Engineer

₹12.0 LPA avg

Conducts research and development on new AI algorithms and techniques.

Data Analyst

₹5.5 LPA avg

Processes and interprets data to support business decision-making.

Career Options

AI EngineerMachine Learning EngineerData ScientistSoftware DeveloperData AnalystAI Research EngineerComputer Vision EngineerNLP EngineerRobotics Engineer

Skills You'll Gain

Python ProgrammingMachine LearningDeep LearningData Structures and AlgorithmsNeural NetworksNatural Language ProcessingComputer VisionCloud ComputingStatistics and Probability

Pros & Cons

✅ Pros

  • +Strong industry demand for AI and machine learning skills
  • +Wide range of career paths in software, data science, and research
  • +Combines core computer science fundamentals with cutting-edge AI specialization
  • +Good average starting salaries compared to many other engineering branches
  • +Strong foundation for higher studies or entrepreneurship in AI/ML

❌ Cons

  • Course fees can be very high at top private institutions
  • Highly competitive admission through exams like JEE Advanced
  • Requires continuous learning to keep up with fast-evolving AI technologies
  • Placement outcomes vary significantly by institute reputation

Top Colleges for B.Tech in CSE (Artificial Intelligence and Machine Learning)

1

COEP Technological University, Pune

Fees: ₹1.5 LPA

4.6
2

VJTI Mumbai

Fees: ₹1.4 LPA

4.5
3

Pune Institute of Computer Technology (PICT), Pune

Fees: ₹1.8 LPA

4.3
4

Pimpri Chinchwad College of Engineering, Pune

Fees: ₹1.6 LPA

4.2
5

Vishwakarma Institute of Technology, Pune

Fees: ₹1.9 LPA

4.1
6

Amity University, Mumbai

Fees: ₹2.8 LPA

4

Frequently Asked Questions

What is B.Tech in CSE (AI and ML)?

It is a 4-year undergraduate engineering programme combining core computer science with specialized training in artificial intelligence and machine learning.

What are the entrance exams for this course?

Common entrance exams include JEE Main, JEE Advanced, WBJEE, VITEEE, and CUET, along with institute-level selection processes.

What is the average salary after this course?

The average starting salary is around INR 7.57 LPA, with reported packages going up to INR 16.40 LPA depending on the institute and skills.

Which companies recruit graduates of this programme?

Recruiters include companies such as IBM, Infosys, HCL Infosystems, Axis Bank, HDFC Life, and Kotak Mahindra Bank, among others.

Is this course worth pursuing?

It can be a strong choice given the fees, placement outcomes, and career goals align, but candidates should compare colleges, ROI, and specialization fit before deciding.