BTech in Artificial Intelligence 2025: Courses, Admission & Fees

A BTech in Artificial Intelligence is an exciting opportunity for students eager to dive into the world of cutting-edge technology. This specialised course combines the power of computer science with the potential of AI, equipping students with the knowledge and skills needed to build intelligent systems. From machine learning to robotics, the BTech AI program offers a comprehensive curriculum that covers both the theoretical foundations and practical applications in today’s tech-driven world.

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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.

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BTech in Artificial Intelligence: Course Overview for 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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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.

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.

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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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BTech AI Admission Important Dates for 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	Important Dates
KCET 2025 Application	23 Jan '25 - 24 Feb '25
JEE Main 2025 Registration	01 Feb '25 - 25 Feb '25
COMEDK 2025 Application	03 Feb '25 - 15 Mar '25
KIITEE 2025 Phase 1 Application	10 Nov '24 - 08 Apr '25
BITSAT 2025 Application	21 Jan '25 - 18 Apr '25
CUET 2025 Application Process	Feb '25 - Apr '25
JEE Main 2025 Exam (Session 2)	01 Apr '25 - 08 Apr '25
KIITEE 2025 Phase I Exam Date	16 Apr '25 - 20 Apr '25
COMEDK 2025 Exam Date	26 Apr '25
CUET 2025 Exam	May '25 - Jun '25
BITSAT 2025 Exam (Session 1)	21 May '25
COMEDK Final Answer Key	21 May '25
KIITEE 2025 Phase II Exam Date	06 Jun '25 - 30 Jun '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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Fee Structure for BTech in Artificial Intelligence

When applying for the BTech in Artificial Intelligence program for the academic year 2025, candidates must be aware of the associated fees. Below is the detailed breakdown of the application, admission, and semester fees, including additional fees for students appearing for exams at the Dubai centre.

Fee Type	Amount (INR)	Details
Application Fee	INR 1,500	To be paid at the time of submitting the online application form.
Admission Fee	INR 16,500	A one-time fee is to be paid upon receiving the admission offer.
Semester Fee (First Semester)	INR 66,750	To be paid at the time of admission. The total first-semester fee is INR 83,250, including the admission fee.
Subsequent Semester Fees	INR 66,750 per semester	To be paid before the beginning of each respective semester.
Dubai Examination Centre Fee	1000 AED per semester	An additional fee for students opting for exams at the Dubai centre. 500 AED for Mid-semester exams and 500 AED for comprehensive exams.

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B Tech Artificial Intelligence 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:

Semester	Core Subjects
Semester 1	Calculus-I, Introduction to Artificial Intelligence, Discrete Mathematics
Semester 2	Vector Calculus, Differential Equations, Bioengineering
Semester 3	Data Structures, Personality Development, AI and Humanity
Semester 4	Convex Optimisation, Deep Learning, Algorithms
Semester 5	Numerical Analysis, Control Systems, Operating Systems - I
Semester 6	AI Electives, Engineering Electives
Semester 7	AI Electives, Liberal Arts/Commerce Elective, Robotics
Semester 8	AI Electives, Free Electives, Ethics and Values

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BTech in Artificial Intelligence: Elective Subjects for Specialisation in 2025

In the BTech in Artificial Intelligence program, students have the opportunity to select from a range of elective subjects that allow them to specialise in areas of their interest. These electives provide deeper insights into specific fields of AI and its applications. Below is a list of elective subjects offered in the program:

Elective Subjects	Details
Data Analytics	Delve into techniques and tools used for analysing data and extracting actionable insights.
AI, Neuroscience, and Natural Intelligence	Explore the intersection of AI with neuroscience and human cognition for advanced systems.
Predictive Analysis	Focus on forecasting trends and behaviors using AI and machine learning techniques.
Computational Neuroscience Lab	Study the computational aspects of brain functions and neural networks.
Big Data: Tools and Techniques	Learn about managing and analysing vast datasets using state-of-the-art AI tools.
Applications of AI in Healthcare	Discover how AI is transforming healthcare systems through diagnostics, treatment, and patient care.
Cloud Computing	Understand the role of cloud platforms in hosting and deploying AI applications.
Theoretical & Computational Neuroscience	Dive deeper into the theory and computational modelling of brain functions and neural networks.
Distributed Systems	Learn about designing and managing distributed computing systems that support AI applications.
Movement Science and Disorders	Explore the role of AI in understanding movement science and diagnosing disorders.

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Top BTech in Artificial Intelligence Colleges

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:

College Name	Tuition Fees
IIT Roorkee	INR 8 L
IIT Hyderabad	INR 8 L
IIT Gandhinagar	INR 8 L
IIT Patna	INR 8 L
IIT Ropar	INR 8 L
IIT Jodhpur	INR 8 L
IIT Bhilai	INR 9 L
NIT Surathkal	INR 5 L
NIT Delhi	INR 5 L
MNIT Jaipur	INR 1.67 L
NIT Kurukshetra	INR 5 L
IIT Guwahati	NA

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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.

College	Tuition Fees
GJUST	INR 2.44 L
IPU	INR 4.64 L
NSUT	INR 3.54 L
Coimbatore Institute of Technology	INR 1.04 L
UIET Rohtak	INR 2.2 L

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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.

College	Tuition Fees
Amity University Gurugram	INR 8.08 L - 12 L
BIT Mesra	INR 12.23 L
Chandigarh University	INR 9.55 L
Kalasalingam University	INR 4L - 7.4 L
LPU	INR 13.6 L
Manipal University	INR 16.4 L
Ramiah Institute of Technology	INR 3.86 L
SRM IST Chennai	INR 10 L - 18 L
SOA University	NA
VIT Vellore	INR 7.8 L

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Career Opportunities and Salary Expectations After BTech in AI

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+

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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

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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. As AI continues to shape the future, pursuing this degree provides not only excellent job prospects but also a chance to be part of an exciting technological revolution.

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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.