B.Tech Artificial Engineering is a 4-year undergraduate course that focuses on the design, development, and implementation of intelligent systems and machines to solve problems without human intervention. B.Tech Artificial Intelligence syllabus and subjects cover important topics such as machine learning, natural language processing, robotics, computer vision, decision-making algorithms, data mining, pattern recognition, neural networks, etc.
The BTech Artificial Intelligence admission process requires students to have completed 10+2 with 50% aggregate marks from a recognized board with Physics, Maths, and Chemistry. Students must also qualify for entrance exams such as JEE, VITEEE, SUAT, LPU NEST, etc. to be eligible for B.Tech Artificial Intelligence admission.
The BTech Artificial Intelligence fees are in the range of INR 2,400 – 5,00,000 per year. The fees in government colleges offering B.Tech Artificial Intelligence range from INR 2,400 – 2,00,000 per year while the fees in private colleges range from INR 1,75,000 – 5,00,000 per year.
Table of Contents
| Degree | Bachelors |
| Full Form | Bachelor of Technology in Artificial Intelligence |
| Duration | 4 Years |
| Age | No Age Limit |
| Minimum Percentage | 50% aggregate marks for the general category and 45% for SC/ST/PwD categories in 10+2 examinations in the science stream. |
| Average Fees | INR 2,400 – 5,00,000 per year |
| Average Salary | INR 3 – 10 LPA (Source: AmbitionBox) |
| Employment Roles | Chief Technology Officer, Software Designer, Computer Analyst, Data Interpreter, Data Analyst, Data Information Scientist, etc. |
| Top Recruiters | Google, Facebook, Wipro, IBM, Oracle, etc. |
BTech AI full form stands for Bachelor of Technology in Artificial Intelligence. The goal of the B.Tech AI course is to prepare students to build intelligent devices, software, or applications using machine learning, data visualization techniques, etc. Some of the top colleges offering B.Tech AI include IIT Roorkee, NIT Surathkal, VIT, etc. This course falls under the umbrella of BTech courses.
B.Tech in Artificial Intelligence job scope is extensive for students who want to pursue their career in the field of artificial intelligence, machine & deep learning, big data, etc. The aspirants from this course work mainly in IT industries and software conglomerates. The BTech Artificial Intelligence salary in India ranges from INR 3 – 10 LPA. [Source: AmbitionBox]
The B.Tech Artificial Intelligence eligibility criteria require students to meet certain educational qualifications, minimum entrance exam score, etc. to get admission. Given below are the standard eligibility criteria followed by most institutions in India:
Before enrolling in a B.Tech Artificial Intelligence course, students must be aware of the industry demand, market size, and future growth potential of the industry. Listed below are a few points that give us insight into why to choose the B.Tech Artificial Intelligence course:
The B.Tech Artificial Intelligence admission is conducted based on the entrance exam scores and merit. Most of the top institutions such as IIT Roorkee, NIT Surathkal, VIT Vellore, etc. accept admission via entrance exams.
Listed below is the admission procedure for the B.Tech Artificial Engineering course:
The BTech entrance exams for AI in most colleges are JEE, VITEEE, LPU NEST, etc. The examination bodies conduct these entrance exams to select deserving candidates for the course. Listed below are some of the popular B.Tech Artificial Intelligence entrance exams and their details:
|
Entrance Exam |
Exam Date |
Accepting Colleges |
|
Apr 4 – 12, 2024 |
NIT Surathkal, NIT Kurukshetra, etc. |
|
|
May 26, 2024 |
IIT Roorkee, IIT Guwahati, IIT Hyderabad, etc. |
|
|
June 21 – 23, 2024 |
SRM Institute of Science and Technology |
|
|
Apr 2024 (Tentatively) |
VIT University |
|
|
May 2024 (Tentative) |
Sharda University |
|
|
May 2024 (Tentative) |
Manipal Institute of Technology |
|
|
Jan 20- Feb 5, 2024 |
Lovely Professional University |
BTech Artificial Intelligence is offered by various government and private colleges in India including IITs, NITs, LPU, Manipal Institute of Technology, etc. The B.Tech Artificial Intelligence fees in these colleges range from INR 2,400 – 5,00,000 per year.
Listed below are the top NIRF-ranking institutions offering B.Tech Artificial Intelligence course along with the fee detail:
|
NIRF Ranking 2023 |
Colleges |
Tuition Fees Per Year |
Admission Fees |
Miscellaneous Fees Per Year |
|
5 |
INR 2,00,000 |
INR 3,000 |
INR 60,000 |
|
|
7 |
INR 2,00,000 |
INR 9,500 |
INR 64,200 |
|
|
8 |
INR 2,00,000 |
– |
INR 44,750 |
|
|
11 |
INR 1,95,000 |
INR 3,000 |
– |
|
|
12 |
INR 1,25,000 |
INR 14,620 |
INR 30,000 |
|
|
50 |
INR 2,80,000 |
– |
INR 9,000 |
|
|
58 |
INR 1,25,000 |
– |
INR 12,000 |
|
|
61 |
INR 2,03,000 |
INR 10,000 |
INR 1,22,000 |
|
|
78 |
INR 5,00,000 |
– |
INR 1,50,000 |
|
|
– |
INR 1,75,000 |
INR 28,000 |
INR 26,000 |
Below listed are the location-wise B.Tech AI colleges in India along with the annual tuition fee:
|
Location |
BTech AI Fees (Per Year) |
|
INR 2,00,000 – 3,00,000 |
|
|
INR 16,000 – 2,00,000 |
|
|
INR 20,000 – 3,00,000 |
|
|
INR 1,00,000 – 4,00,000 |
|
|
INR 2,400 – 5,00,000 |
|
|
INR 40,000 – 5,00,000 |
|
|
INR 30,000 – 2,00,000 |
|
|
INR 1,00,000 – 2,50,000 |
BTech Artificial Intelligence courses in India can be pursued on a full-time, integrated, and lateral entry basis. Students can choose the course type as per their needs and preferences.
The B.Tech Artificial Intelligence course details are provided in the table below:
|
Type |
Eligibility |
Duration |
|
Full-Time |
Minimum of 50% marks in 10+2 with Physics, Chemistry, and Maths for the general category and 45% marks for reserved category students + Entrance Exam Score |
4 Years |
|
Integrated |
Minimum of 60% marks in 10+2 with Physics, Chemistry, and Maths+ Entrance Exam Score |
5 Years |
|
Lateral Entry |
Minimum of 60% marks in a Diploma or equivalent qualification in a relevant field. |
4 Years |
The integrated B Tech Artificial Intelligence course enables students to earn a bachelors and masters degree in a single program. The details regarding the integrated BTech Artificial Intelligence course are given below:
The lateral entry B.Tech Artificial Intelligence course allows students to take admission directly into the second year. Listed below are the details regarding B.Tech Artificial Intelligence through lateral entry.
The B.Tech Artificial Intelligence syllabus in the 1st and 2nd years covers topics like physics, engineering mechanics, discrete structure, computer networks, etc.
The B Tech Artificial Intelligence 3rd year syllabus deals with advanced topics such as big data analytics, deep learning, etc., while the 4th year AI subjects in BTech deal with skill enhancement courses and projects.
The semester-wise B.Tech Artificial Intelligence subjects are provided in the table below:
|
Semester I |
Semester II |
|
Physics |
Problem Solving by Programming |
|
Chemistry |
Computational Statistics |
|
Basic Electronics and Electrical Engineering |
General Biology |
|
Fundamentals of Programming Languages |
Engineering Graphics and Design |
|
Communication Skills |
Engineering Mechanics |
|
Mathematics |
Project-Based Learning – I |
|
– |
Workshop and Manufacturing Practices – Laboratory |
|
Semester III |
Semester IV |
|
Discrete Structure |
Artificial Intelligence |
|
Data Structures and Algorithms |
Digital Logic Design and Processor Architecture |
|
Software Engineering and Project Management |
Computer Networks |
|
Database Management Systems |
R Programming |
|
Project Based Learning-II |
Foundations of Data Science |
|
Universal Human Values-II |
– |
|
Semester V |
Semester VI |
|
Big Data Analytics |
Advanced Databases |
|
Machine Learning |
Deep Learning |
|
Web Technology |
Machine Learning & Network Security |
|
Design and Analysis of Algorithm |
Information Retrieval |
|
Elective-I |
Elective-II |
|
Skill Enhancement Course-I |
Skill Enhancement Course-II/ Internship |
|
Semester VII |
Semester VIII |
|
Ethics and Values |
Elective-IV |
|
Elective-III |
Skill Enhancement Course-IV |
|
Skill Enhancement Course-III |
Project- II/ Internship |
|
Project- I/ Internship |
– |
Read More: BTech Artificial Intelligence Syllabus and Subjects
The B.Tech Artificial Intelligence focuses on the development and maintenance of inference engines and knowledge-based systems. While the BTech CSE focuses on software development, algorithms, data structures, and computer programming.
A course comparison between BTech Artificial Intelligence and BTech CSE is provided in the table below:
|
Course |
B.Tech Artificial Intelligence |
B.Tech CSE |
|
Full Form |
Bachelor of Technology in Artificial Intelligence |
Bachelor of Technology in Computer Science Engineering |
|
Course Overview |
B.Tech AI curriculum focuses on courses in Data Structures and Algorithms, Machine Learning, Big Data Analytics, etc. |
B.Tech CSE curriculum focuses on computer programming, operating systems, databases, software engineering, etc. |
|
Stream |
Engineering |
Engineering |
|
Duration |
4 years |
4 years |
|
Eligibility |
10+2 with Physics, Chemistry, and Mathematics with 50% aggregate marks |
10+2 with Physics, Chemistry, and Mathematics with 50% aggregate marks |
|
Entrance Exams |
JEE, VITEEE, SUAT, LPU NEST |
JEE, VITEEE, SRMJEE, WBJEE |
|
Top Colleges |
IIT Roorkee, NIT Surathkal, VIT |
IIT Delhi, IIT Indore, LPU |
|
Fees Per Year |
INR 2,400 – 5,00,000 |
INR 60,000 – 5,00,000 |
|
Average Salary |
INR 3 – 10 LPA |
INR 3 – 9 LPA |
|
Job Roles |
Machine Learning Engineer, AI Architect, Big Data Scientist |
Software Engineer, Software Developer, Programmer |
Read More: BTech CSE
B.Tech Artificial Intelligence graduates can opt for higher education or certification courses to enhance their skills and knowledge. This will increase their credibility for future career prospects.
Listed below are some of the courses after B.Tech Artificial Intelligence that can be pursued by the graduates:
B.Tech Artificial Intelligence jobs are available in both the government and private sectors. Some of the popular job roles after graduation in B.Tech Artificial Intelligence include Machine Learning Engineer, Data Architect, Software Designer, Big Data Scientist, etc.
Listed below are the B.Tech Artificial Intelligence jobs along with their details:
|
Job Role |
Job Description |
Top Hiring Companies |
|
Software Engineer |
|
Google, Facebook, Wipro |
|
Machine Learning Engineer |
|
IBM, Oracle, Genpact |
|
Data Scientist |
|
Infosys, TCS, HCL Tech |
|
Data Analyst |
|
Tech Mahindra, Tata Elxsi, Accenture |
|
Data Architect |
|
Cognizant, Deloitte, Amazon |
The B.Tech Artificial Intelligence salary in India ranges from INR 3 – 10 LPA [Source: AmbitionBox]. Graduates must note that the salary range is affected by several factors like job description, location, sector, employer, experience, etc.
The entry-level salary for B.Tech Artificial Intelligence graduates starts from INR 3 LPA reaching up to INR 5 LPA. However, professionals with 3+ years of experience can earn more than INR 6 – 8 LPA.
The BTech Artificial Intelligence salary for different job roles is provided below:
|
Job Roles |
Average Entry Level Salary (INR) |
Average Salary After 3+ Years of Experience (INR) |
|
Software Designer |
4 LPA |
7 – 8 LPA |
|
Data Analyst |
3.10 LPA |
7 – 8 LPA |
|
Data Interpreter |
4.2 LPA |
8 LPA |
|
Data Information Scientist |
3.5 LPA |
6 – 7 LPA |
|
Chief Technology Officer |
3 – 4.6 LPA |
8 LPA |
Read More: B.Tech Artificial Intelligence Salary in India
Some of the top companies and organizations such as Google, Facebook, Wipro, etc. recruit B.Tech Artificial Intelligence graduates.
Listed below are the top recruiters for B.Tech Artificial Intelligence graduates:
|
|
|
Wipro |
|
IBM |
Oracle |
Genpact |
|
Infosys |
TCS |
HCL Tech |
|
Tech Mahindra |
Tata Elxsi |
Accenture |
|
Cognizant |
Deloitte |
Amazon |
Students can apply for B.Tech Artificial Intelligence scholarships provided by the government and private organizations. These scholarships come with specific eligibility criteria to ensure that deserving students have access to quality education.
Listed below are some of the scholarships available for the B.Tech Artificial Intelligence course.
|
Scholarship |
Eligibility |
Scholarship Amount |
|
Sitaram Jindal Foundation Scholarship |
|
INR 2,500 per month |
|
Rajarshi Shahu Maharaj Scholarship |
|
100% tuition and exam fee coverage |
|
ONGC Scholarship |
|
INR 48,000 per annum |
|
NTPC Scholarship Scheme |
|
INR 1,500 per month |
|
Timken Scholarship |
|
Up to INR 75,000 |
Read More: BTech Scholarships
Several cities in India offer B.Tech in Artificial Intelligence courses, where students can easily access quality education from qualified faculties, industrial exposure, and research opportunities.
Listed below are the top 5 cities in India along with their average living expense, salaries, recruiters, etc. to pursue B.Tech in Artificial Intelligence.
|
City |
Top Colleges |
Average Living Monthly Expenses |
Average Starting Salary |
Top Recruiters |
|
Delhi |
Indraprastha Institute of Information Technology, Indira Gandhi Delhi Technical University for Women |
INR 25,000 – 35,000 |
INR 3 – 5 LPA |
HCL Tech, Oracle, Microsoft, SAP, Adobe, etc. |
|
Hyderabad |
IIT Hyderabad, Jawaharlal Nehru Technological University |
INR 20,000 – 30,000 |
INR 3 – 4 LPA |
Infosys, Accenture, Deloitte, Cognizant, etc. |
|
Chennai |
SRM Institute of Science and Technology, Saveetha Engineering College |
INR 20,000 – 35,000 |
INR 3 – 4 LPA |
TCS, Tech Mahindra, Capgemini, Wipro, etc. |
|
Kolkata |
Amity University Kolkata, UEM Kolkata |
INR 10,000 – 20,000 |
INR 3 – 4 LPA |
TCS, Wipro, Cognizant, IBM, etc. |
|
Pune |
DYPatil International University, IIIT Pune |
INR 25,000 – 30,000 |
INR 3 – 5 LPA |
TCS, Wipro, Accenture, Cognizant, IBM, etc. |
B.Tech Artificial Intelligence graduates must possess skills like analytical thinking, applied mathematics, communication skills, and more to excel in various roles across industries. Listed below are some of the key skills that are mandatory for BTech Artificial Intelligence graduates:
B.Tech Artificial Intelligence subjects can be divided into core and elective subjects. Students are introduced to elective subjects from the third year of their degree.
Students must choose their elective BTech Artificial Intelligence subjects based on their personal interests, career scopes, or future education goals. Explore the detailed BTech Artificial Intelligence Year-wise subjects and their topics below.
The first year B.Tech Artificial Intelligence subjects cover foundational concepts like Newtonian Mechanics and Fluids Properties, Thermodynamics, Basics of Programming & Introduction to C, Calculus, etc.
Listed below are the BTech Artificial Intelligence subjects and the topics covered under them.
|
Subjects |
Topics Covered |
Subject Type |
|
Physics |
Newtonian Mechanics and Fluids Properties, Elasticity, Oscillations and Waves, Optics, Electricity, Magnetism, Electromagnetic Induction, etc. |
Core |
|
Chemistry |
Atomic and Molecular Structure, Spectroscopic Techniques and Applications, Intermolecular Forces and Potential Energy Surfaces, Thermodynamics, Periodic properties, etc. |
Core |
|
Basic Electrical and Electronics Engineering |
Introduction to Electronics, Transistor and OPAMP, Number System and Logic Gates, Electrical Circuits Analysis, Network theorems, etc. |
Core |
|
Fundamentals of Programming Languages |
Basics of programming & Introduction to C, The Decision controls and Control structures, Functions, Pointers and Structures, Array & strings, File Handling in C, etc. |
Core |
|
Communication Skills |
Vocabulary Building, Basic Writing Skills, Identifying Common Errors in Writing, Nature and Style of Sensible Writing, Writing Practices, etc. |
Core |
|
Mathematics |
Calculus, Sequences and Series, Multivariable Calculus, Matrices, etc. |
Core |
|
Problem Solving by Programming |
Functions and Modules, Strings, Object Oriented Programming, File Handling and Dictionaries, etc. |
Core |
|
Computational Statistics |
Basic Probability, Continuous Probability Distributions, Bivariate Distributions, Basic Statistics, Applied Statistics, etc. |
Core |
|
General Biology |
Classification, Genetics, Biomolecules, Enzymes, Metabolism, etc. |
Core |
|
Engineering Graphics and Design |
Fundamentals of Engineering Drawing, Engineering Curves, Orthographic Projection, Isometric Projection, Development of Lateral Surfaces, etc. |
Core |
|
Engineering Mechanics |
Units and Dimensions, Principle of Statics, Free body diagram Equilibrium of concurrent, Frictional Force, Kinematics of linear motion, etc. |
Core |
The second year BTech Artificial Intelligence subjects explore topics like graph theory, linear data structures, software project planning & management, etc.
The B Tech Artificial Intelligence second year subjects and topics covered are detailed in the table below.
|
Subjects |
Topics Covered |
Subject Type |
|
Discrete Structure |
Sets and Propositions, Relations and Functions, Algebraic Structures, Graph Theory, Trees, etc. |
Core |
|
Data Structure and Algorithms |
Introduction to Data Structure and Algorithms, Linear Data Structures, Linear Data Structures, Advanced Data Structures, Searching & Sorting Techniques, etc. |
Core |
|
Software Engineering and Project Management |
Requirements Analysis and Design, Software Project Planning & Management, Project Scheduling, Agile Methodology, Business Continuity & Disaster Management, etc. |
Core |
|
Database Management Systems |
Introduction to Database, Data Collection, Database Design & SQL, Query Processing and Database Transactions, Concurrency Control, etc. |
Core |
|
Universal Human Values-II |
Understanding Harmony in the Human Being, Understanding Harmony in the Family and Society, Understanding Harmony in the Nature and Existence, Implications of the above Holistic Understanding of Harmony on Professional Ethics, etc. |
Core |
|
Artificial Intelligence |
Searching Techniques, Basic Probability Notation, Game Playing, Formalized & Propositional Logic, Knowledge Representation and Expert Systems, etc. |
Core |
|
Digital Logic Design and Processor Architecture |
Fundamentals of Digital Techniques & Minimization Technique, Combinational circuits, Sequential Circuits Design, Processor Architecture, Parallel Processing, etc. |
Core |
|
Computer Networks |
Basics of Networks, Physical Layer, Data Link Layer, Network Layer, Transport Layer, etc. |
Core |
|
R Programming |
Operators, variables in R, Control Statements, Data Types in R, Statistics & Data Visualization, Data and File Handling and SQL, etc. |
Core |
|
Foundations of Data Science |
Pre-processing & collection of data, Exploratory Data Analytics, Regression & Model Development, Model Evaluation Generalization, Data Visualization, etc. |
Core |
The third-year B.Tech Artificial Intelligence subjects offer topics like Big Data Analytics, Machine Learning, Introduction to PHP, IoT Architecture, etc.
Listed below are the B.Tech Artificial Intelligence subjects for the third year along with their topics covered.
|
Subjects |
Topics Covered |
Subject Type |
|
Big Data Analytics |
Big Data Analytics, Hadoop, Hadoop Distributed File System & Map Reduce, Hadoop EcoSystem, The Big Data Technology Landscape & Algorithms, etc. |
Core |
|
Machine Learning |
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Forecasting and Learning Theory, Neural Networks & Dimensionality Reduction, etc. |
Core |
|
Web Technology |
Introduction to PHP, HTML Common Tags, Introduction to Servlets, Introduction to JSP, Client-side Scripting, etc. |
Core |
|
Design and Analysis of Algorithm |
Models and Design, Abstract Algorithms, Complexity Theory, Amortized Analysis, Multithreaded and Distributed Algorithms, etc. |
Core |
|
System Modeling and Design |
Systems analyst & System Development cycle, System Planning, Systems Design and modeling, Modular and structured design & Object Oriented Analysis, System Implementation and Maintenance & Security, etc. |
Elective-I |
|
Internet of Medical Behaviour |
IoT Architecture, Sensors and Protocols, Privacy and Security, IoMT Introduction & Healthcare Technologies, Application Design & Case Study, etc. |
Elective-I |
|
Skill Enhancement Course-I |
Language-I: Foreign Language (French/German/Japanese)/ Hindi/ Marathi |
Core |
|
Advanced Databases |
Data Storage, Indexing Structures, Query Processing, Query Optimization, Advances in Database Systems, etc. |
Core |
|
Deep Learning |
Feedforward Networks, Deep Neural Networks, Recurrent Neural Networks, Convolutional Neural Networks & Deep Generative Models, etc. |
Core |
|
Machine Learning & Network Security |
Anomaly Detection, Malware Analysis, Network Traffic Analysis, Protecting the Consumer Web, Production Systems, etc. |
Core |
|
Information Retrieval |
Introduction and Basic IR Models, Vector-Space Retrieval & Experimental Evaluation, Query Expansion & Text Representation, Web Search, etc. |
Core |
|
Software Architecture |
Introduction to Software Architecture, Object-oriented Paradigm, Distributed Architecture, Architecture of User Interface Containers, Aspect Oriented Architectures, etc. |
Elective-II |
|
Quantum AI |
Fundamental Concepts, Feature Identification, Classification, Neural Networks, Quantum Machine Learning, etc. |
Elective-II |
|
Skill Enhancement Course-II |
Language-II: (Foreign Language (French/German/Japanese)/ Hindi/ Marathi) |
Core |
The fourth-year B.Tech Artificial Intelligence subjects deal with concepts like Professional Ethics, Direct and Inverse Kinematics, Foundation of Cognitive Computing, Foundations of HMI, Pattern Classifier, etc.
Listed below are the B.Tech Artificial Intelligence subjects and the topics covered under them.
|
Subjects |
Topics Covered |
Subject Type |
|
Ethics and Values |
Ethical Theories, Professional Ethics, Cyber Ethics, Privacy Concerns, Social Impact of IT, etc. |
Core |
|
Robotics and Automation |
Direct and Inverse Kinematics, Manipulator differential motion and statics, Path planning, Dynamics and Control, Sensor Integration and Robot Perception, etc. |
Elective-III |
|
Cognitive Computing |
Foundation of Cognitive Computing, Design Principles for Cognitive Systems, Natural Language Processing in Support of a Cognitive System, Knowledge in Taxonomies and Ontologies, etc. |
Elective-III |
|
Skill Enhancement Course-III |
Front-end Development with HTML5, CSS3/ Javascript/ ReactJS/ Angular S |
Core |
|
Human-Computer Interface |
Foundations of HMI, Interaction Design Basics, Graphical User Interface, Screen Designing, Web User Interface, etc. |
Elective-IV |
|
Pattern Recognition |
Pattern Classifier, Unsupervised Classification, Structural pattern recognition, Feature extraction and selection, Recent Advances, etc. |
Elective-IV |
|
Skill Enhancement Course-IV |
DevOps/ Cloud (AWS/AZURE)/ Salesforce |
Core |
