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According to projections, AI advancements will play a major role in the emergence of 2.73 million new IT jobs in India by 2028. Leading institutions like IIT Hyderabad, IIIT-Delhi, VIT Vellore and Chandigarh University are among the top names offering this specialised degree. Graduates of this program are not just limited to coding, they are trained to build smart systems that can predict, automate, and solve complex real-world problems. Graduates can build future-focused careers as data scientists, AI engineers, robotics specialists, or continue with research and higher studies in AI and machine learning.
Top companies like TCS, Infosys, Google, and Nvidia are actively hiring AI professionals, making a B.Tech in Artificial Intelligence a great choice for students who want to build a strong career in future technologies.
By the end of this blog, you will know
- The top colleges offer BTech in Artificial Intelligence, along with admission processes, fees, and eligibility criteria.
- The career prospects and salary potential for BTech AI graduates, including key roles in the tech industry.
- The latest trends in AI and how pursuing this degree can prepare you for the evolving demands of the job market.
BTech in Artificial Intelligence: Course Overview & Other Details 2025
A BTech in Artificial Intelligence equips students with the essential skills to dive into the rapidly evolving world of AI. With a focus on areas like machine learning, robotics, and data science, this 4-year course opens doors to exciting career paths in tech. Graduates are well-prepared for diverse roles in industries transforming through AI innovations.
| Particulars |
Details |
| Course Name |
BTech in Artificial Intelligence (AI) |
| Course Duration |
4 years |
| Course Fee |
Up to INR 10 lakh |
| Top Institutes Offering BTech AI |
IIT Roorkee, IIT Guwahati, IPU, and more |
| Career Opportunities |
Data Scientist, Machine Learning Engineer, Data Analyst |
| Average Salary After Graduation |
INR 4 to 8 lakh annually |
| Entrance Exams for Admission |
JEE Main, MHT CET, KEAM, and others |
| Top Companies Hiring AI Graduates |
Infosys, Wipro, TATA Motors, Flipkart |
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What is Btech in Artificial Intelligence?
A B.Tech in Artificial Intelligence (AI) is an undergraduate engineering degree program that focusses on the basic principles, theories, and applications of artificial intelligence. It is typically a four-year program that provides students the expertise and skills needed to design, create, and implement intelligent systems that can learn, reason, understand, and solve issues.
The program also includes hands-on projects, coding and internships to prepare students for careers in AI research
Specialisations in BTech AI
Throughout the course, students have the chance to specialise in different facets of Artificial Intelligence. Here's a detailed overview of specialisations in BTech AI:
1. Machine Learning (ML)
This track involves building algorithms that enable systems to learn from data and improve over time, powering applications like recommendation systems and predictive analytics.
2. Deep Learning (DL)
A subfield of ML, deep learning is focused on training neural networks to perform complex tasks like recognising images and understanding speech.
3. Computer Vision (CV)
Students specialising in CV work on creating systems that interpret and process visual data, a crucial component of applications like facial recognition and autonomous vehicles.
4. Natural Language Processing (NLP)
This area deals with enabling machines to understand and interact with human language, playing a key role in chatbots, translation systems, and voice assistants.
5. Robotics
Combining AI with robotics, this specialisation focuses on creating intelligent robots that can perform a variety of tasks autonomously, including manufacturing, healthcare, and service industries.
Admission Process for BTech in Artificial Intelligence
Embarking on a BTech in Artificial Intelligence journey requires following a well-defined admission process. Understanding the steps involved is essential to ensure a smooth application experience. Here’s an updated overview of the typical process for 2025:
| Admission Steps |
Details |
| Eligibility Check |
Confirm that you satisfy the fundamental requirements, including holding a high school diploma with subjects like Physics, Chemistry, and Mathematics. |
| Research and Institution Selection |
Identify the institutions offering the course, considering factors like reputation, faculty expertise, and available research opportunities. |
| Entrance Examinations |
Most institutions require candidates to clear entrance exams such as JEE Main, JEE Advanced, or other university-specific tests to assess their aptitude for the course. |
| Application Process |
Complete and submit the application form along with all necessary documents, such as transcripts, certificates, and recommendation letters. |
| Interviews and Counseling |
Some institutions may conduct personal interviews or counseling sessions to assess the candidate’s suitability for the program. |
| Merit List and Offer |
After reviewing the entrance exam scores, application, and interview results, a merit list is created. Successful candidates are then offered admission. |
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Artificial Intelligence Course Eligibility
To apply for a BTech in Artificial Intelligence, candidates must meet certain educational prerequisites. Below, we’ve summarised the eligibility criteria for admission in 2025 to help prospective students understand what is required to pursue this program:
| Criteria |
Details |
| Educational Qualifications |
Candidates must have completed 10+2 (or equivalent) from a recognised board. |
| Subject Requirements |
The student must have pursued the Science stream, with compulsory subjects like Physics and Mathematics. |
| Marks Requirement |
Universities typically require an aggregate of 50% to 70% in the 12th grade, varying by institution. |
| Entrance Exam |
Most universities require entrance exams such as JEE Main, JEE Advanced, or other state-level exams for admission into the program. |
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B.Tech AI and ML Lateral Entry Eligibility
To be eligible for lateral entry into a B.Tech in Artificial Intelligence and Machine Learning, candidates typically must have:
Educational Qualification:
- A 3-year Diploma in Engineering (preferably in Computer Science, IT, or a related field) from a recognized board or university.
- Some universities may also accept B.Sc. (Maths/CS/IT) graduates for lateral entry.
Minimum Marks Required:
Usually, a minimum of 45%–50% marks in the diploma course is required (relaxation for reserved categories may apply as per state norms).
Entrance Exams (if applicable):
Some universities or states conduct entrance exams for lateral entry (e.g., LEET, JELET, AP ECET, UPSEE).
Age Limit:
The age limit is generally not a significant barrier for most universities in India. Many institutions do not have an upper age limit for lateral entry admissions.
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BTech in AI Entrance Exams and Important Dates 2025
Staying updated with the important exam dates is crucial for prospective students of BTech in Artificial Intelligence. The following table summarises key dates for 2025 related to the application process and exam schedules for various entrance exams.
|
Exam Name
|
Scheduled Dates
|
|
KCET 2025 Application
|
23 Jan '25 - 24 Feb '25
|
|
JEE Main 2025 Registration
|
01 Feb '25 - 25 Feb '25
|
|
JEE Main 2025
|
Session 1: 22 Jan'25- 30 Jan’25
fSession 2: 2 Apr '25 - 9 Apr’25
|
|
JEE Advanced 2025
|
18 May '25
|
|
COMEDK 2025 Application
|
03 Feb '25 - 15 Mar '25
|
|
KIITEE 2025 Phase 1 Application
|
11Nov '24 - 12 Apr '25
|
|
BITSAT 2025 Application
|
21 Jan '25 - 24 Apr '25
|
|
CUET 2025 Application Process
|
1 Mar '25 - 24 Mar '25
|
|
JEE Main 2025 Exam (Session 2)
|
02 Apr '25 - 09 Apr '25
|
|
KIITEE 2025 Phase I Exam Date
|
16 Apr '25 - 20 Apr '25
|
|
COMEDK 2025 Exam Date
|
26 Apr '25
|
|
COMEDK UGET 2025
|
10 May '25
|
|
CUET 2025 Exam
|
23 May '25 - 3 Jun '25
|
|
BITSAT 2025 Exam (Session 1)
Session II: Jun '25 (Tentative)
|
26May '25- 30 May’25
22Jun '25 -26 Jun’ 25
|
|
COMEDK Final Answer Key
|
4Jun '25
|
|
KIITEE 2025 Phase II Exam Date
|
08 Jun '25 - 12 Jun '25
|
|
MHT CET 2025
|
PCB Group: 9Apr '25 - 17 Apr’25
PCM Group: 19May '25 - 27 Apr’25
|
|
TS EAMCET 2025
|
29 Apr’25 - 30 Apr’ '25
|
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BTech in Artificial Intelligence: Entrance Exams for 2025
To secure a spot in a BTech in Artificial Intelligence program, it is essential to clear entrance exams that assess your understanding of key subjects like Physics, Chemistry, and Mathematics. In 2025, these exams will serve as the primary gateway to reputed engineering institutes such as the IITs, NITs, and other top universities.
Here’s a breakdown of the entrance exams you will need to consider:
| Exam Name |
Scheduled Exam Dates |
| JEE Main 2025 |
Session 1: Jan '25 (Tentative)
Session 2: Apr '25 (Tentative) |
| JEE Advanced 2025 |
May '25 (Tentative) |
| MHT CET 2025 |
PCB Group: Apr '25 (Tentative)
PCM Group: May '25 (Tentative) |
| CUET 2025 |
May '25 (Tentative) |
| TS EAMCET 2025 |
May '25 (Tentative) |
| BITSAT 2025 |
Session I: May '25 (Tentative)
Session II: Jun '25 (Tentative) |
| COMEDK UGET 2025 |
May '25 (Tentative) |
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IS JEE Required for Artificial Intelligence?
The Joint Entrance Examination (JEE) is not mandatory for all colleges offering B.Tech in Artificial Intelligence. However:
- Yes, JEE is required if you are applying to top engineering institutes like IITs, NITs, IIITs, and some centrally funded universities.
- No, JEE is not required for admission into many state-level colleges and private universities, which may have their own entrance exams or offer direct admission based on 12th-grade marks.
BTech in Artificial Intelligence Fees
For a B.Tech in Artificial Intelligence, tuition costs vary, government universities are often less expensive than private ones, with four-year courses costing between INR 4 Lakh and INR 20 Lakh. This investment will prepare graduates for high-demand jobs in a fast changing technology sector.
|
Type of Institution
|
Application Fee
|
Admission Fee
|
Semester Fee (First Semester)
|
Subsequent Semester Fees
|
|
Government College
|
₹500 – ₹1,500
|
₹2,000 – ₹5,000
|
₹15,000 – ₹35,000
|
₹10,000 – ₹30,000
|
|
Private University
|
₹1,000 – ₹2,500
|
₹10,000 – ₹25,000
|
₹70,000 – ₹1,50,000
|
₹60,000 – ₹1,40,000
|
|
Deemed University
|
₹1,200 – ₹3,000
|
₹15,000 – ₹30,000
|
₹1,00,000 – ₹2,00,000
|
₹90,000 – ₹1,80,000
|
B Tech Artificial Intelligence Syllabus & Course Details
The program includes a diverse range of subjects that prepare students for real-world challenges in AI and technology. Below is a breakdown of typical subjects offered across various semesters:
|
BTech Al Semester 1 Subjects
|
|
Calculus-I
|
Intro to Al
|
|
Discrete Maths
|
English Communication
|
|
Intro to Programming
|
Modern Physics
|
|
Environmental Chemistry
|
Calculus-I|
|
|
BTech Al Semester 2 Subjects
|
|
Vector Calculus
|
Differential Equations
|
|
Bioengineering
|
Engineering Electives
|
|
Programming for Al
|
LA/CA Elective
|
|
Probability and Random Variables
|
Digital Fabrication
|
|
Artificial Intelligence
|
Series of Functions
|
|
BTech Al Semester 3 Subjects
|
|
Data Structures
|
Personality Development
|
|
Al and Humanity
|
Linear Systems and Signal processing
|
|
DBMS - 1
|
Matrix Theory
|
|
Foundations of Machine Learning
|
Introduction to Metric Spaces
|
|
BTech Al Semester 4 Subjects
|
|
Convex Optimisation
|
Deep Learning
|
|
Algorithms
|
Applied Statistics
|
|
DBMS - I|
|
Compilers - I
|
|
Intro to Entrepreneurship
|
|
BTech Al Semester 5 Subjects
|
|
|
Numerical Analysis
|
Control Systems
|
|
OS - 1
Advanced Topics in ML
|
|
Reinforcement Learning
|
Computer Networks-I
|
|
Computer Architecture
|
|
|
BTech Al Semester 6 Subjects
|
|
|
Al Electives
|
Engineering Electives
|
|
BTech Al Semester 7 Subjects
|
|
Al Electives
LA/CA Elective
|
|
Robotics
|
|
BTech Al Semester 8 Subjects
|
|
|
Al Electives
|
Free Electives
|
|
|
Ethics and Values
|
|
BTech Al Elective Subjects
|
|
Data Analytics
Al, Neuroscience and Natural Intelligence
|
|
|
Predictive Analysis
|
Computational Neuroscience Lab
|
|
|
Big Data: Tools and Techniques
Applications of Al in Healthcare
|
|
|
Cloud Computing
|
Theoretical & Computational Neuroscience
|
|
|
Distributed Systems
Movement Science and Disorders
|
|
|
Graph Analytics for Big Data
|
Movement Sciences Lab
|
|
|
Time Series Analysis
Brain Machine Interfaces
|
|
|
Data Mining
|
Kernel Methods
|
|
|
Language Technologies
|
Speech and Vision
|
|
|
Natural Language Processing
|
Computer Vision
|
|
|
Text Processing
|
Surveillance Video Analytics
|
|
|
Information Retrieval
|
Image and Video Processing
|
|
Speech Systems
|
Sequence Models
|
|
Core Al and ML
|
Data Analytics
|
|
Intro to Statistical Learning Theory
|
Predictive Analysis
|
|
Introduction to Submodular Functions
|
Big Data: Tools and Techniques
|
|
Information Theory and Coding
|
Cloud Computing
|
|
Nonlinear Control Techniques
|
Distributed Systems
|
|
Bayesian Data Analysis
|
Graph Analytics for Big Data
|
|
Learning/Convex Optimisation-II
|
Time Series Analysis
|
|
Optimisation Methods in Machine
|
Data Mining
|
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BTech in Artificial Intelligence Top Colleges in India
India is home to over 1070 institutions offering Artificial Intelligence (AI) and Machine Learning (ML) courses. Among these, some of the most renowned institutions are the IITs and NITs, which are known for their rigorous academic programs, cutting-edge research in AI, and high placement opportunities. Below is a list of leading colleges that offer BTech in AI, based on the National Institutional Ranking Framework (NIRF) for 2025:
Top Government Colleges Offering BTech in AI
These government institutions are renowned for their high academic standards, state funding, and contribution to the field of AI research and development.
Top Private Colleges Offering BTech in AI
Private colleges are leading the way with their industry-focused curriculum, modern facilities, and strong ties to tech enterprises for internships and placements.
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Scope of BTech in Artificial Intelligence
The BTech in Artificial Intelligence presents an exciting and dynamic field for students as AI continues to evolve and influence numerous industries. The scope of this course is broad and rapidly growing, making it a promising choice for 2025 and beyond. Here's a look at the diverse applications and career prospects for AI graduates in the coming years:
|
Key Factors
|
Details
|
|
Industry Demand
|
AI is reshaping industries such as healthcare, finance, transportation, and more, creating a high demand for AI expertise.
|
|
Technological Advancements
|
Innovations in fields like robotics, autonomous vehicles, and AI-based natural language processing are pushing the need for skilled professionals.
|
|
Big Data and AI Integration
|
The rapid increase in data generation across sectors requires AI specialists to analyse and extract meaningful insights for decision-making.
|
|
New Career Roles
|
With AI driving change, new and exciting job opportunities are emerging for adaptable graduates ready to embrace the future of work.
|
Btech in Artificial Intelligence Job Profiles & Career
The demand for Artificial Intelligence professionals is skyrocketing, with AI being at the forefront of technological innovations. Graduates of BTech in AI can expect lucrative job opportunities, with entry-level salaries typically ranging from INR 4-6 LPA. As you gain experience and expertise, the salary potential increases significantly. Below are some of the key job profiles, their descriptions, and the average salary ranges that AI professionals can expect in the industry.
| Job Profile |
Job Description |
Average Salary (INR) |
| AI Research Scientist |
Conducts in-depth research in AI, develops new algorithms, and advances applications. |
7 LPA - 18 LPA+ |
| Deep Learning Engineer |
Focuses on creating and deploying models like image recognition and NLP. |
7 LPA - 15 LPA+ |
| Machine Learning Engineer |
Designs and implements machine learning algorithms for different applications. |
5 LPA - 12 LPA+ |
| Data Scientist |
Analyses large datasets to uncover insights that aid decision-making. |
5 LPA - 15 LPA+ |
| Robotics Engineer |
Develops and maintains robots for use in industrial automation, healthcare, and other sectors. |
6 LPA - 12 LPA+ |
| Computer Vision Engineer |
Specialises in creating systems for interpreting and analysing visual data such as images and videos. |
5 LPA - 12 LPA+ |
| Natural Language Processing Engineer |
Develops AI systems that can understand and process human language, such as chatbots or translation tools. |
5 LPA - 12 LPA+ |
| AI Software Engineer |
Develops applications that incorporate AI features to enhance functionality. |
4 LPA - 10 LPA+ |
| Business Intelligence Analyst |
Utilises AI and data analysis techniques to drive business strategy and decisions. |
5 LPA - 12 LPA+ |
Top Recruiters for BTech in Artificial Intelligence Graduates (2025)
From tech giants to e-commerce and manufacturing leaders, the demand for AI talent is skyrocketing. Below are some of the prominent recruiters actively hiring BTech in AI graduates:
| Industry |
Top Recruiters |
| Top IT Service Companies |
TCS, Infosys, Wipro |
| E-commerce Giants |
Flipkart, Amazon, Myntra |
| Manufacturing Companies |
Mahindra, Bosch, Tata Motors |
Btech in Artificial Intelligence Salary
A B.Tech in Artificial Intelligence (AI) leads to a very well-paying career in the fast-growing tech world. People with this specialized degree are highly sought after, as they get good salaries packages right from the start
Top Private Recruiters : Positions and Salaries
|
Job Profile
|
Average Salary
|
|
Organisation Name: Google
|
|
|
AI Engineer
|
Rs. 16.5 LPA
|
|
Data Scientist
|
Rs. 37.5 LPA
|
|
Data Analyst
|
Rs. 22.1 LPA
|
|
Data Engineer
|
Rs. 24.9 LPA
|
|
Job Profile
|
Average Salary
|
|
Organisation Name: Meta
|
|
|
AI Engineer
|
Rs. 18.5 LPA
|
|
Data Scientist
|
Rs. 75 LPA
|
|
ML Engineer
|
Rs. 26.5 LPA
|
|
Data Analyst
|
Rs. 12.5 LPA
|
Top Public Recruiters : Positions and Salaries
| Job Profile |
Average Salary |
| Organisation Name: DRDO |
|
| AI Analyst |
Rs. 30.9 LPA |
| Data Scientist |
Rs. 8.3 LPA |
| Research Scientist |
Rs. 18.7 LPA |
| ML Engineer |
Rs. 3.7 LPA |
| Job Profile |
Average Salary |
| Organisation Name: ISRO |
|
| Data Scientist |
Rs. 23.9 LPA |
| Data Analyst |
Rs. 4.4 LPA |
| ML Engineer |
Rs. 4.1 LPA |
| Robotics Engineer |
Rs. 15.5 LPA |
Btech in Artificial Intelligence Benefits
The BTech in Artificial Intelligence offers a strong foundation for students to dive into one of the most in-demand and rapidly evolving fields. With diverse career opportunities in industries like healthcare, banking, and manufacturing, graduates are well-positioned to work with top-tier MNCs and contribute to groundbreaking advancements.
High Industry Demand: The AI sector is rapidly growing, leading to a high demand for skilled professionals in nearly every industry. This guarantees strong job opportunities after graduation.
High-Paying Jobs: AI jobs are some of the highest paying jobs in the technology realm and AI professionals often get good entry salaries that provide rapid career advancement and earnings potential.
Variety of Job Opportunities: AI graduates can find many specialized roles such as machine learning engineer, data scientist, or robotics engineer and the variety and specialization could lead to more fulfilling options aligned with personal interests.
Advanced Skills: The program provides advanced technical knowledge related to deep learning, big data, and ethical AI, and offers industry-level experience and technical conditioning with the tools and programming of a computer scientists' toolkit. You will be using state-of-the-art technology.
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FAQs About BTech in Artificial Intelligence
What is the duration of the BTech in Artificial Intelligence program?
The BTech in Artificial Intelligence program typically spans four years, divided into eight semesters.
Is JEE required for Artificial Intelligence?
Yes, JEE is generally required for Artificial Intelligence programs at top engineering institutes such as IITs and NITs. Many institutions also accept scores from other entrance exams, but JEE Main and JEE Advanced remain the primary exams for admission into the most prestigious AI programs in India.
Which entrance exams are required for admission to the program?
Admissions are generally based on scores from entrance exams such as JEE Main, JEE Advanced, or other institution-specific tests.
Are internships available during the BTech in AI program?
Yes, many institutions offer internships and have partnerships with industry leaders for hands-on experience and research opportunities.
What are the career opportunities after completing this program?
Graduates can pursue careers as data scientists, machine learning engineers, AI researchers, and specialists in various industries such as healthcare, finance, and technology.
What is the average salary for graduates of this program?
The average starting salary for graduates ranges between INR 6 to 12 lakhs per annum, depending on the institution and industry.
Can students pursue higher studies after completing the BTech in AI?
Yes, graduates can continue their education by pursuing MTech, MS, or Ph.D. programs in AI or related fields both in India and internationally.
What skills should students develop to succeed in this program?
Students should develop strong analytical skills, proficiency in programming languages like Python and Java, and a solid understanding of mathematical concepts.
Do I need prior knowledge of AI to enroll in the program?
No, the program is designed to teach foundational knowledge, so prior experience in AI is not required.
Which are the top institutions offering BTech in AI?
Top institutions include IITs, NITs, IIITs, and private universities like VIT, SRM University, and Amity University.
Are scholarships available for students in the BTech AI program?
Yes, many institutions offer scholarships based on merit, entrance exam scores, or financial need.
What is the fee structure for the BTech in AI program?
Fees vary by institution, ranging from INR 1 to 2 lakhs per year, excluding additional costs for hostel and lab facilities.
What are the job roles available for BTech AI graduates?
Graduates can work as AI engineers, data scientists, machine learning engineers, AI consultants, and more across various sectors.
Is lateral entry allowed into the BTech AI program?
Some institutions offer lateral entry for diploma holders or those with equivalent qualifications, subject to eligibility criteria.
What is the mode of instruction for the BTech in AI program?
The program is typically conducted through a mix of lectures, practical sessions, workshops, and seminars, with both online and offline components.
What software or tools will students learn during the program?
Students will be trained in various AI tools and frameworks, including TensorFlow, PyTorch, and MATLAB, for hands-on experience in machine learning and deep learning.
How is practical exposure incorporated into the curriculum?
Practical exposure is provided through lab sessions, internships, industry projects, and research opportunities to bridge theoretical knowledge with real-world applications.
What are the research opportunities available during the program?
Students can engage in AI-related research projects, contribute to academic papers, and collaborate with faculty on cutting-edge AI advancements.
Are there any opportunities for international exposure during the program?
Some institutions offer exchange programs, international internships, and collaborations with universities abroad for global exposure to AI.
What are the prerequisites for admission into the BTech AI program?
A strong foundation in Physics, Chemistry, and Mathematics from the 12th grade is necessary to pursue this program.
How is the assessment conducted throughout the program?
Assessment is carried out through a combination of assignments, quizzes, mid-term exams, end-term exams, and practical evaluations.
Are industry certifications included in the BTech AI curriculum?
Many institutions incorporate industry-recognised certifications, which enhance employability by validating students' skills in AI and machine learning tools.
How does the BTech in AI program stay updated with the latest industry trends?
The curriculum is regularly revised to align with industry demands, and faculty members engage in continuous research to incorporate the latest advancements in AI technology.
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