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Eligibility

Passed with min % in PCM for GEN & % for SC/ST/OBC

Duration

4 Year

What is BTech Artificial Intelligence and Machine Learning about? 
Essentially, the B.Tech undergraduate program in Artificial intelligence and machine learning, revolves around programming of machines. In essence, it allows the candidate in communicating to the machine in the machine’s mother tongue. Thus in the program the candidate is required to learn these specific languages which can be used to customize the function of machines. 

This is only one of the many faces of this program, a lot more is taught alongside these rudimentary topics. Many facets which aid the student in understanding the functioning are taught in this course, for instance information relating to knowledge representation, probabilistic models and reasoning methods are also taught to the candidate form the computer perspective.

The candidates just don’t solely learn about artificial intelligence; they are actually familiarized with more intricate of the decorum. For instance, they are taught about deep learning, human computer interaction and augmented reality. Some institutes also offer the students interdisciplinary courses during this program, students may be required to study edge computing, functioning of internet, psychology marketing one’s computer program and robotics. 

It is not a new fact, but in recent years with the advent of the internet, a age of automation has also rapidly risen. The requirement of artificial intelligence is skyrocketing. The biggest companies in the global market revolve around programming for instance Facebook, google in foreign player and Wipro among the Indian IT companies may hire individuals who are passed out form this undergraduate course. Thus this may provide ample opportunity to the graduate once he steps into the service sector.

Why Study BTech Artificial Intelligence and Machine Learning course?
The global market since the advent of the internet and smartphones have been leaning towards artificial intelligence. In the current automated age machines are required for successfully completing numerous tasks, lives of individuals in the current world are to an extent dependent on proper functioning of these machines. 

  • The market share of artificial intelligence is projected to grow USD 190.61 Billion by 2025. 
  • Ai in the current world is omnipresent; it has made its way in the service sectors on numerous levels. 
  • In the current automated world, it is quite rare to find a sector or horizon untouched by AI. 

Eligibility 
As mentioned the eligibility criteria for this undergraduate varies in relation to the college. Still, there are a few prerequisites that are essential for pursuing this undergraduate course in most institutes, this criterion has been further discussed below.

  • The candidate must have passed his 10+2 examination from the PCM field, from a recognized state/central education board.
  • The candidate must have secured an aggregate of 50% marks in his 10+2 matric examinations,
  • Candidates from SC/ST category will be eligible for admission after securing 45% marks in their matric examinations.
  • Lastly, specific university based examinations are required to be cleared to be considered as eligible for this course.

Future Scope 
The future scope in relation to this degree has been discussed below –

  • The whole artificial intelligence industry is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025
  • Neural network market whose working will be taught in this course is projected to be worth more than over $23 billion in 2024.
  • An employee working in a regular firm may earn up to 6-7 lacs per annum, while some renowned companies like Wipro and Facebook pay their employees around 30 lacs yearly.
  • Like in every profession, the rate of salary slowly increases with experience and new established skills.
  • The inroads in AI, is only bound to increase as they enable the human activity to go unhindered, they allow smooth functioning of aligned chains.

B.Tech in Artificial Intelligence and Machine Learning Jobs 

There are varied opportunities which awaits the B.Tech graduate in artificial intelligence and machine learning, some of the biggest corporate names in India and outside recruit these graduates. Some of these companies are listed below:

  • Google
  • Facebook
  • Wipro
  • IBM
  • NIIT
  • Oracle
  • Genpact
  • HDFC Bank

The scope of specialization in this field may aid the graduate in, pursing jobs in both public and private sector, the individual can pursue following jobs:

  • Machine Learning Engineer
  • Big Data & AI Architect
  • Big Data Scientist
  • Artificial Intelligence Engineer
  • Research Engineer - Artificial Intelligence
  • Data and AI Consultant
  • Robotics Professional

Job profiles in relation to the jobs mentioned are given enlisted below:

Job Position Job Description Average annual Salary
Software Engineer Essentially, the individual is indulged in computer programming and application development, he aids in development of user focused programs such as web browsers, etc. INR 5.3 Lakhs
Machine Learning Engineer You are required to run algorithms for running respective programs. Further you are required to ensure their smooth functioning INR 6.7 Lakhs
Data Scientist A Data Scientist collects, analyzes, and interprets large amounts of unstructured data using Machine Learning and predictive analysis to derive insight and help design future strategies. INR 7.3 Lakhs
Data Analyst A Data analyst initially acquires information in regards to a specific topic, then organizes, interprets and analyses that data. and at last present the findings in the form of comprehensive reports. INR 5.4 Lakhs
Data Architect He constructs highly scalable data management, using machine learning language. INR 5.6 Lakhs

B.Tech in Artificial Intelligence and Machine Learning Syllabus 

Semester 1 Semester 2
  • Mathematics I
  • Physics
  • Physics Lab
  • Programing in C Language
  • Programing in C Language Lab
  • Playing with Big Data
  • Open Source and Open Standards
  • Communication WKSP 1.1
  • Communication WKSP 1.1 Lab
  • Seminal Events in Global History
  • Mathematics II
  • Basic Electronics Engineering
  • Basic Electronics Engineering Lab
  • Data Structures with C
  • Data Structures-Lab
  • Discrete Mathematical Structures
  • Introduction to IT and Cloud Infrastructure Landscape
  • Communication WKSP 1.2
  • Communication WKSP 1.2 Lab
  • Environmental Studies
  • Appreciating Art Fundamentals
Semester 3 Semester 4
  • Computer System Architecture
  • Design and Analysis of Algorithms
  • Design and Analysis of Algorithms Lab
  • Web Technologies
  • Web Technologies Lab
  • Functional Programming in Python
  • Introduction to Internet of Things
  • Communication WKSP 2.0
  • Communication WKSP 2.0 Lab
  • Securing Digital Assets
  • Introduction to Applied Psychology
  • Operating Systems
  • Data Communication and Computer Networks
  • Data Communication and Computer Networks Lab
  • Introduction to Java and OOPS
  • Introduction to Java and OOPS Labs
  • Applied Statistical Analysis (for AI and ML)
  • Current Topics in AI and ML
  • Database Management Systems & Data Modelling
  • Database Management Systems & Data Modelling Lab
  • Impact of Media on Society
Semester 5 Semester 6
  •  
  • Formal Languages & Automata Theory
  • Mobile Application Development
  • Mobile Application Development Lab
  • Algorithms for Intelligent Systems
  • Current Topics in AI and ML
  • Software Engineering & Product Management
  • Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics
  • Minor Project I
  • Reasoning, Problem Solving and Robotics
  • Introduction to Machine Learning
  • Introduction to Machine Learning
  • Natural Language Processing
  • Minor Subject 2 – General Management
  • Minor Subject 3 - Finance for Modern Professional
  • Design Thinking
  • Communication WKSP 3.0
  • Minor Project II
Semester 7 Semester 8
  • Program elective
  • Web Technologies
  • Major Project- 1
  • Comprehensive Examination
  • Professional Ethics and Values
  • Industrial Internship
  • Open Elective - 3
  • CTS-5 Campus to corporate
  • Introduction to Deep Learning
  • Major Projects 2
  • Program Elective-5
  • Program Elective-6
  • Open Elective - 4
  • Universal Human Value & Ethics
  • Robotics and Intelligent Systems

Admission Process for B.Tech Artificial Intelligence & Machine Learning-2025

  1. Visit Our Website
    Go to admissionduniya.com to explore information about B.Tech Artificial Intelligence & Machine Learning programs.

  2. Initial Consultation
    Contact us through our website for a personalized consultation regarding your interest in the B.Tech Artificial Intelligence & Machine Learning program and any queries you may have.

  3. Program Selection
    We’ll assist you in choosing the right universities or colleges that offer B.Tech Artificial Intelligence & Machine Learning, based on your academic background and career goals.

  4. Eligibility Assessment
    We assess your eligibility according to your previous academic qualifications and any required entrance exam scores.

  5. Documentation Preparation
    Our team will help you prepare all necessary documents, including transcripts, a statement of purpose, and letters of recommendation.

  6. Application Submission
    We guide you through the application process, ensuring all forms are completed accurately and submitted on time.

  7. Entrance Exam Preparation
    If applicable, we provide resources and support to help you prepare for any required entrance exams.

  8. Interview Preparation
    For colleges that conduct interviews, we offer coaching to help you present yourself confidently.

  9. Admission Confirmation
    Once you receive your acceptance letter, we assist with the enrollment process, including fee payment and registration.

  10. Pre-Departure Guidance
    If necessary, we provide advice on visa applications, accommodation arrangements, and other essential preparations.

  11. Ongoing Support
    Admission Duniya offers continuous support throughout your B.Tech Artificial Intelligence & Machine Learning journey, ensuring you have access to resources and assistance whenever needed.

For more details and to start your application process, visit admissionduniya.com today!

FAQ

B.Tech in AI & ML is a 4-year undergraduate program focused on the development of intelligent machines and algorithms that can learn and adapt. It combines computer science, data science, and automation.

Candidates must have completed 10+2 with Physics, Chemistry, and Mathematics (PCM) and a minimum aggregate (usually 50–60%). Admission may require qualifying entrance exams like JEE Main, state-level CETs, or institute-specific tests.

AI and ML are among the fastest-growing fields with applications in healthcare, finance, robotics, cybersecurity, automotive, and more. Career opportunities are expected to grow significantly in the coming years.

Popular entrance exams include JEE Main, JEE Advanced, BITSAT, VITEEE, SRMJEEE, and various state-level CETs.

Core subjects include Machine Learning, Deep Learning, Data Structures, Neural Networks, Artificial Intelligence, Natural Language Processing (NLP), Robotics, and Data Analytics.

Graduates can work as: 1.Machine Learning Engineer 2.Data Scientist 3.AI Engineer 4.Software Developer 5.Robotics Engineer 6.Research Scientist

Yes, many colleges offer internships in collaboration with tech companies, research labs, or startups, especially during the 3rd and 4th year.

The fee ranges from ?1.5 Lakhs to ?5 Lakhs per year, depending on the college and location.

Top recruiters include Google, Microsoft, Amazon, Infosys, TCS, IBM, Accenture, and various startups in AI/ML and data science.

Yes, several international universities offer AI & ML-focused computer science degrees, often under names like “Computer Science with AI” or “Data Science & AI.”

Available Colleges for B.Tech Artificial Intelligence & Machine Learning

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