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Undergraduate AI Courses in India

  • AI Courses Manager
  • Nov 17
  • 20 min read

Choosing between a BSc in Artificial Intelligence (AI) and a BTech (Bachelor of Technology) in AI after 12th grade depends on several factors related to your career goals, interests, and preferred learning style.


Key Differences

  • BSc AI:

    • Focuses more on theoretical foundations of AI, mathematics, statistics, and data science.

    • Typically a 3-year program (can be 4 years in some universities).

    • More suited if you are interested in research, data analysis, AI theory, or planning to pursue further studies (MSc, PhD) in AI or related fields.

    • Often includes coursework on machine learning, algorithms, programming, and applications but less on engineering hardware or deep technical systems.

  • BTech AI:

    • Combines AI with broader engineering concepts such as computer science, software development, hardware, and system design.

    • Typically a 4-year engineering program with practical labs and project work.

    • More suited if you want to work as a software engineer, AI developer, or in technical roles that require building AI systems and applications.

    • Provides stronger exposure to programming, software engineering, robotics, and systems integration.


Studying AI after 12th grade

Factors to Consider While Evaluating Undergraduate AI Courses

  • Career Goals:

    • If you want a career in technical development, software engineering, or AI systems design, BTech is usually preferred.

    • If you are interested in AI research, data science, analytics, or academics, BSc might be a better fit.

  • Educational Background & Skills:

    • BTech generally demands stronger foundation in math, physics, and engineering concepts.

    • BSc is more flexible and math/stat heavy but with less focus on engineering subjects.

  • Duration & Curriculum:

    • BTech takes 4 years, while BSc is usually 3 years—affecting cost and time to graduation.

    • BTech courses involve more labs, projects, internships, and industrial training.

  • Higher Studies & Flexibility:

    • BSc holders can opt for MSc in AI, Data Science, or related fields.

    • BTech offers good options for MTech in AI or interdisciplinary engineering fields.

  • Industry Demand:

    • BTech AI graduates often preferred for roles requiring coding, software deployment, and engineering expertise.

    • BSc AI graduates are equally valuable in data science-heavy roles and research-intensive positions.

Summary

Criteria

BSc AI

BTech AI

Duration

3 years

4 years

Focus

Theory, mathematics, data science

Engineering, programming, system design

Career paths

Research, data analysis, academia

AI development, software engineering

Curriculum

AI theory, ML, programming fundamentals

Computer science, AI systems, robotics

Higher studies

MSc, PhD in AI/Data Science

MTech in AI, interdisciplinary fields

Industry roles

Data scientist, AI analyst, researcher

AI engineer, software developer

Ultimately, the choice depends on your interest in engineering versus science, desired career role, and willingness to commit time for a longer BTech program or a shorter BSc route.

If you want a strong technical and engineering foundation leading to software roles, BTech AI is recommended. For theoretical and research-oriented interests with moderate duration, BSc AI is a good option. Both degrees offer pathways into the AI industry and academia in India and abroad.


Detailed Program Overview: Undergraduate AI Courses in India


BSc Artificial Intelligence Programs


BSc AI & Data Science – BITS Pilani Digital (Online)​

Overview: BITS Pilani Digital offers a flexible 3-year online BSc in AI & Data Science designed for students seeking quality education from a premier institution without geographical constraints. As India's first UGC-approved online BSc in AI, it combines theoretical foundations with practical applications.

Program Structure:

  • Semester 1-2: Foundation courses in mathematics (calculus, linear algebra), programming (Python), statistics, and data science fundamentals

  • Semester 3-4: Core AI courses including machine learning, data visualization, database management, and web applications

  • Semester 5-6: Advanced specialization in machine learning, deep learning, AI ethics, and industry projects

Core Subjects: Linear Algebra, Statistics & Probability, Python Programming, Data Structures, Database Management, Machine Learning, Deep Learning, Data Visualization, Natural Language Processing, Computer Vision, AI Ethics, Big Data Analytics

Fees: ₹3.12 Lakhs total (₹52,000 per semester)

Eligibility: 10+2 with 50% marks; Mathematics is mandatory. Students from any stream can apply.

Admission: Merit-based, rolling admissions throughout the year

Placement & Careers: The program benefits from BITS Pilani's strong alumni network. Graduates typically pursue roles as Data Analysts, Machine Learning Engineers, AI Developers, and Data Scientists at companies like Google, TCS, Infosys, Wipro, and IBM. Average fresher salary: ₹4-7 LPA; Experienced professionals: ₹12-18 LPA​

Unique Features:

  • Fully online, study from anywhere

  • Flexible schedules for working professionals

  • Industry-focused curriculum

  • Access to PIEDS (technology business incubator) for startup support

  • Internship assistance from BITS network

  • Career services in final year


BSc AI & Data Science – IGNOU Online​

Overview: IGNOU's online BSc in Data Science and Artificial Intelligence is India's most affordable option, offering exceptional value with government backing. Designed for students seeking distance education flexibility without compromising quality.

Program Structure:

  • Year 1: Foundation courses in computer fundamentals, mathematical methods, statistical methods, and programming basics

  • Year 2: Core courses in databases, web technologies, data management, and introduction to AI/ML

  • Year 3: Advanced AI topics including machine learning, deep learning, data mining, and research methodology

Core Subjects: Computer Fundamentals, Mathematical Methods, Statistical Methods, Python for Data Science, Databases, Web Technologies, Machine Learning, Artificial Intelligence, Data Mining, Deep Learning, Big Data Analytics, Research Methodology

Fees: ₹6,000 total (minimal, government-subsidized program)

Eligibility: 10+2 from any stream; no strict percentage requirement; highly accessible admission

Admission: Merit-based on 10+2 marks; multiple admission cycles per year

Placement & Careers: Government program, placement support through IGNOU's institutional network. Graduates work with government sectors, public enterprises (PSUs), and IT companies like TCS, Infosys, Wipro. Average fresher salary: ₹4-7 LPA; Career progression leads to senior analyst roles at ₹12-18 LPA​

Unique Features:

  • Most affordable AI program in India

  • Government-backed credibility

  • Flexible study schedule

  • No time restrictions for course completion (up to 6 years)

  • Suitable for employed professionals

  • Multiple study centers across India

Course Website: ignou.ac.in


BSc AI & Data Science – Aurora Scientific College (Hyderabad)​

Overview: A 3-year on-campus BSc in AI & Data Science from Aurora Scientific College, emphasizing hands-on learning and industry collaboration in Hyderabad's tech ecosystem.

Program Structure:

  • Year 1: Foundations in mathematics, physics, programming (Java/Python), and introduction to AI concepts

  • Year 2: Core AI courses including databases, machine learning, software engineering, and data visualization

  • Year 3: Advanced specializations, project work, internships, and research-oriented courses

Core Subjects: Programming Languages (Java, Python), Web Development, Databases, Data Structures, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Analytics, AI Applications

Fees: ₹5.40 Lakhs total (₹1.80 Lakhs per year)

Eligibility: 10+2 with 50% marks; Mathematics and Computer Science highly preferred

Admission: Entrance test + merit-based selection

Placement & Careers: Strong placement record with recruiters like Google, Amazon, Infosys, and TCS. Placement rate: 85-90%; Average fresher salary: ₹4-7 LPA​

Unique Features:

  • On-campus learning with lab facilities

  • Industry collaborations and guest lectures

  • Final year research projects

  • Internship opportunities with leading tech companies

  • Hyderabad location provides tech hub advantages

Course Website: aurora.edu.in


BSc Computer Science & AI – Indira College (Pune)​

Overview: A 3-year on-campus program combining computer science fundamentals with AI specialization, designed to create versatile tech professionals capable of developing AI solutions.

Program Structure:

  • Year 1: Computer science fundamentals, mathematics, programming (C++/Python), digital systems

  • Year 2: Object-oriented programming, databases, software engineering, introduction to AI/ML

  • Year 3: Advanced AI courses, capstone projects, internships, emerging technologies

Core Subjects: Programming (C++, Python), Computer Architecture, Operating Systems, Databases, Software Engineering, Data Structures, Machine Learning, Algorithms, Web Development, Network Concepts, AI Ethics

Fees: ₹3.60 Lakhs total (₹1.20 Lakhs per year)

Eligibility: 10+2 with 50% marks in PCM stream

Admission: Entrance test conducted by Indira College; Merit-based selection

Placement & Careers: Solid placement with companies like TCS, Infosys, HCL, and Cognizant. Placement rate: 80-85%; Average package: ₹4-7 LPA for freshers​

Unique Features:

  • Pune's thriving IT ecosystem

  • Hands-on labs and projects

  • Industry internship opportunities

  • Affordable fees for quality education

  • Strong alumni network in tech companies

Course Website: iccs.ac.in


BTech Artificial Intelligence Programs

BTech AI – IIT Hyderabad​

Overview: India's first and world's third dedicated undergraduate BTech in Artificial Intelligence, launched in 2019. This 4-year program is the gold standard for AI education in India, combining rigorous theory with cutting-edge applications.

Program Structure:The program follows a unique fractal academic structure where courses are offered at varying depths:

  • Semester 1-2 (Foundation): Calculus, Vector Calculus, Linear Algebra (2 courses), Statistics, Probability, Random Variables, Convex Optimization, Classical Physics, Environmental Chemistry, Introduction to Drones, 3D Modeling, Programming Fundamentals

  • Semester 3-4 (Core AI): Foundations of Machine Learning, Deep Learning, Reinforcement Learning, Computer Architecture, Operating Systems, Advanced Data Structures, Applied Statistics, Sequence Models

  • Semester 5-6 (Specialization): Explainable AI, AI in Humanity, Game Theory & Mechanism Design, Kernel Methods, Bayesian Data Analysis, Statistical Learning Theory, Stochastic Processes, Cognitive Systems, Robotics, Vision Systems

  • Semester 7-8 (Research & Projects): Capstone project, internship (up to semester-long), and electives from CSE, EE, Mathematics departments

Core Subjects: Linear Algebra, Probability & Random Variables, Matrix Theory, Convex Optimization, Mobile Robotics, Information Theory, Foundations of Machine Learning, Deep Learning, Reinforcement Learning, Advanced Algorithms, Applied Statistics, Sequence Models, Explainable AI, Game Theory, Bayesian Analysis, Computer Vision, Natural Language Processing, Speech Processing, Cognitive Systems

Fees: ₹8.00 Lakhs total (₹2.00 Lakhs per year); For SC/ST: ₹1.60 Lakhs total

Eligibility: 10+2 with 75% in PCM; JEE Advanced qualification required

Admission: JEE Advanced score + JoSAA counselling; Only 40 seats per batch

Faculty & Research: IIT Hyderabad's AI department is ranked #8 in NIRF Engineering (2024) and #3 in NIRF Innovation Category. Faculty has 80+ publications in top venues (ICML, NeurIPS, CVPR, ICCV, ACL, AAAI, IJCAI)

Placement & Careers: Exceptional placement with top global tech companies. Average fresher salary: ₹9-15 LPA; Experienced professionals: ₹25-40+ LPA. Top recruiters include Google, Microsoft, Amazon, Goldman Sachs, and De Shaw. Placement rate: 95-98%​

Unique Features:

  • Fractal curriculum: courses at multiple depth levels

  • Freedom to pursue courses from CSE, EE, Mathematics

  • Semester-long internship options

  • Strong research infrastructure and lab facilities

  • Direct connection to academia and research-focused careers

  • International collaborations and exchange programs

  • NIRF-ranked faculty and world-class research

Career Paths: AI Researcher, Machine Learning Engineer, Robotics Developer, Data Scientist, Computer Vision Specialist, NLP Engineer, AI Architect, Entrepreneurship in AI startups

Course Website: ai.iith.ac.in


BTech AI & Data Engineering – IIT Ropar​

Overview: A 4-year BTech program combining artificial intelligence with data engineering, emphasizing building scalable AI systems and handling large-scale data processing pipelines.

Program Structure:

  • Year 1: Mathematics foundations (linear algebra, probability, calculus), programming (C++, Python), data structures, computer fundamentals

  • Year 2: Core AI concepts, algorithms, databases, software engineering, discrete mathematics

  • Year 3-4: Advanced AI, data engineering, machine learning systems, big data technologies, capstone project, internship

Core Subjects: Programming, Data Structures, Algorithms, Linear Algebra, Probability & Statistics, Databases, Operating Systems, Computer Architecture, Machine Learning, Deep Learning, Data Engineering, Big Data Systems, Distributed Computing, Cloud Technologies, AI Ethics

Fees: ₹9.48 Lakhs total (₹2.37 Lakhs per year); For SC/ST: ₹1.89 Lakhs total

Eligibility: 10+2 with 75% in PCM; JEE Advanced required

Admission: JEE Advanced + JoSAA counselling

Placement & Careers: Strong placement with tech giants. Average fresher salary: ₹9-15 LPA; Experienced: ₹25-40 LPA. Top recruiters: Google, Microsoft, Amazon, Tower Research. Placement rate: 95-98%​

Unique Features:

  • Emphasis on data engineering and large-scale systems

  • Industry collaborations with major tech companies

  • Internship opportunities with research labs

  • Strong emphasis on building real-world AI applications

  • Access to advanced computing infrastructure

Career Paths: Data Engineer, AI Systems Architect, Machine Learning Engineer, Big Data Specialist, Cloud AI Engineer, AI Research Scientist

Course Website: iitrpr.ac.in


BTech AI & ML – NIT Surathkal​

Overview: A 4-year BTech program designed to build intelligent machines and systems using machine learning and AI technologies. NIT Surathkal is ranked #17 in NIRF Engineering (2024) with strong AI research infrastructure.

Program Structure:

  • Year 1: Foundation mathematics, programming (Python), physics, chemistry, engineering fundamentals

  • Year 2: Data structures, algorithms, databases, web development, introduction to AI

  • Year 3-4: Machine learning, deep learning, AI applications, specialization electives, capstone projects, internship

Core Subjects: Programming, Data Structures, Algorithms, Databases, Web Development, Machine Learning, Deep Learning, Computer Vision, NLP, Reinforcement Learning, AI Tools & Frameworks, Ethics in AI, Research Methodology, Specialization courses (AI Tools, Robotics)

Fees: ₹6.02 Lakhs total (₹1.50 Lakhs per year); For SC/ST: ₹1.02 Lakhs total – one of the most accessible NIT options

Eligibility: 10+2 with 40% (general) or higher marks for reserved categories; PCM required; JEE Main qualification

Admission: JEE Main score + JoSAA counselling

Placements & Careers: Strong placement record with average package ₹27.5 Lakhs during placement period. Top recruiters: Google, Accenture, MRPL, Amazon, Microsoft. Placement rate: 92-95%; Average fresher salary: ₹10-14 LPA​

Faculty & Features:

  • Separate Program Specific Course (PSC) on AI tools and applications

  • Modern labs and computing facilities

  • Active research collaborations with industry

  • Moderate to challenging coursework (20% pass percentage reflects competitive rigor)

Career Paths: AI Engineer, Full Stack Developer, AI Tools Developer, Data Scientist, ML Engineer, AI Research Scientist

Course Website: nitk.ac.in


BTech AI & ML – NIT Rourkela​

Overview: A 4-year BTech program focusing on artificial intelligence and machine learning applications across diverse domains. NIT Rourkela maintains strong placement and academic standards.

Program Structure: Similar to NIT Surathkal with foundations in programming, data structures, algorithms, followed by advanced AI, ML, and specialization courses in final years.

Core Subjects: Programming, Algorithms, Databases, Machine Learning, Deep Learning, Computer Vision, NLP, Reinforcement Learning, Data Science, AI Applications, Cloud Computing, Project Work

Fees: ₹6.40 Lakhs total (₹1.60 Lakhs per year); Highly affordable for quality engineering education

Eligibility: 10+2 with PCM; JEE Main score required

Admission: JEE Main + JoSAA counselling

Placements: Solid placement with Google, Microsoft, Infosys, and TCS. Average fresher salary: ₹10-14 LPA; Experienced: ₹20-35 LPA. Placement rate: 92-95%

Unique Features:

  • Strong academics with emphasis on fundamentals

  • Research opportunities with faculty

  • Good internship placement rates

  • Alumni network across tech companies

Career Paths: AI Engineer, Data Scientist, ML Engineer, Software Developer, AI Researcher

Course Website: nitrkl.ac.in


BTech CSE (AI & ML) – VIT Vellore​

Overview: A 4-year BTech program from Vellore Institute of Technology (Deemed University), one of India's top private engineering institutes. Combines Computer Science Engineering with specialized AI & ML focus using a Fully Flexible Credit System (FFCS).

Program Structure:

  • Foundation Core (53 credits): Mathematics, physics, chemistry, humanities, basic sciences

  • Discipline-linked Engineering Science (12 credits): Digital systems, semiconductor devices, microprocessors

  • Discipline Core (47 credits): Programming, data structures, algorithms, databases, operating systems, software engineering, ML fundamentals

  • Specialization Electives (21 credits): Machine learning, deep learning, computer vision, NLP, reinforcement learning, data science

  • Open Electives (9 credits): Flexible choice from other domains

  • Project & Internship (9 credits): Capstone project and internship experience

  • Total: 162 credits

Core Subjects: Programming (C++), Data Structures, Algorithms, Digital Logic, Computer Architecture, Operating Systems, Databases, Software Engineering, Machine Learning Foundations, Deep Learning, Computer Vision, NLP, Data Analytics, Web Development, Cloud Technologies, AI Ethics

Fees: ₹7.83 Lakhs total (₹1.95 Lakhs per year) – one of VIT's most competitively priced programs

Eligibility: 10+2 with 60% in PCM; VITEEE entrance exam required (mandatory)

Admission: VITEEE (Vellore Institute of Technology Entrance Examination) – 2 hours 30 minutes, 125 MCQ questions across Math (40), Physics (35), Chemistry (35), Aptitude (10), English (5). Online counselling after merit ranking.

VITEEE Details:

  • Application fee: ₹1,350

  • Test dates: April 28 - May 3, 2026 (tentative)

  • Minimum eligibility: 60% aggregate in PCM; 50% minimum in Mathematics

  • No management quota; admission purely merit-based

Placements: VIT has excellent placement records. Average fresher salary: ₹8-12 LPA; Experienced: ₹18-30 LPA. Top recruiters: Google, Amazon, Flipkart, Microsoft, Dell. Placement rate: 88-92%; some packages reach ₹1 Crore for specialized roles​

Campus Features:

  • Fully Flexible Credit System (FFCS): Choose teacher, time slot, and course load

  • International Transfer Program (ITP): Complete first 2 years at VIT, next 2 years at partner university abroad

  • Semester Abroad Program (SAP): Study final semester at partner international university

  • Modern labs, supercomputing facilities, AI research centers

  • Strong industry partnerships

  • 180 seats in AI & ML specialization

Career Services: Career Development Cell (CDC) provides placement training, interview prep, resume building. Alumni network across Google, Microsoft, Amazon, and startups.

Career Paths: Software Engineer, ML Engineer, AI Engineer, Data Scientist, Cloud Architect, Product Engineer, Startup Founder

Course Website: viteee.vit.ac.in / vit.ac.in


BTech CSE (AI & ML) – Amity University Noida​

Overview: A 4-year BTech program from Amity University Noida, one of India's largest private university networks with significant AI/ML focus and industry partnerships.

Program Structure:

  • Year 1: Computer fundamentals, programming (C++, Java), mathematics, physics, chemistry, communication skills

  • Year 2: Data structures, algorithms, databases, web technologies, discrete mathematics, OOP concepts

  • Year 3-4: Machine learning, deep learning, data mining, computer vision, NLP, specialization electives, internship, capstone project

Core Subjects: Programming Languages (C++, Java, Python), Data Structures & Algorithms, Databases, Web Development, Machine Learning, Deep Learning, Computer Vision, NLP, Data Science, Cloud Computing, Cybersecurity Fundamentals, Software Engineering, AI Applications

Fees: ₹16.72 Lakhs total (₹4.18 Lakhs per year) – premium private university pricing

Eligibility: 10+2 with 60% in PCM or PCCS

Admission: Merit-based or AMCAT (Aspiring Minds Common Admission Test) scores accepted

Placements: Good placement record with IT companies. Average fresher salary: ₹7-11 LPA; Experienced: ₹15-28 LPA. Top recruiters: IBM, TCS, Infosys, Accenture, HCL. Placement rate: 85-90%

Unique Features:

  • 18+ campuses across India providing diverse opportunities

  • Industry partnerships with major tech companies

  • International exchange programs

  • Hands-on learning through projects

  • Flexible payment options and scholarships

Career Paths: Software Developer, ML Engineer, Data Scientist, AI Engineer, IT Consultant, Business Analyst


BTech CSE (AI & ML) – Chandigarh University​

Overview: A 4-year BTech program in partnership with IBM, emphasizing enterprise-level AI and ML applications. Located in Mohali (Punjab), it leverages the region's tech ecosystem.

Program Structure:

  • Year 1: Mathematics fundamentals, programming, computer concepts, communication

  • Year 2: Advanced programming, databases, algorithms, web development, introduction to AI

  • Year 3-4: Machine learning, deep learning, AI enterprise applications (IBM focus), capstone project, internship

Core Subjects: Programming, Data Structures, Algorithms, Databases, Operating Systems, Web Technologies, Machine Learning, Deep Learning, Big Data Technologies, AI in Enterprise, Cloud Technologies, Cybersecurity, AI Ethics, IBM Tools & Platforms

Fees: ₹14.00 Lakhs total (₹3.50 Lakhs per year)

Eligibility: 10+2 with 70% in PCM; CUCET entrance exam

Admission: Chandigarh University Entrance Test (CUCET) + Merit scholarship opportunities available

Placements: Strong placement with IBM partnership providing direct opportunities. Average fresher salary: ₹8-12 LPA; Experienced: ₹18-30 LPA. Top recruiters: Google, IBM, Capgemini, Accenture. Placement rate: 88-92%

Unique Features:

  • IBM Partnership: Direct access to IBM tools, training, and career opportunities

  • Industry collaborations

  • Internship opportunities with enterprise companies

  • Merit-based scholarships (up to 30-50% tuition waiver)

  • Focus on enterprise AI applications

Career Paths: IBM Solutions Engineer, Enterprise AI Developer, Data Analyst, Cloud Consultant, AI Architect, Product Manager

Course Website: cuchd.in / cucet.cuchd.in


BTech CSE (AI & ML) – SRM University Chennai​

Overview: A 4-year BTech program from SRM Institute of Science and Technology (Deemed University), one of India's oldest and most recognized private engineering institutes in Chennai's growing tech hub.

Program Structure:

  • Year 1: Foundations in mathematics, physics, chemistry, programming (Java/Python)

  • Year 2: Advanced programming, algorithms, databases, software engineering, web technologies

  • Year 3-4: Machine learning, deep learning, computer vision, NLP, data science, specialization electives, internship, capstone project

Core Subjects: Programming Languages, Data Structures & Algorithms, Databases, OOP, Software Engineering, Machine Learning, Deep Learning, Computer Vision, NLP, Reinforcement Learning, Data Analytics, Cloud Computing, Mobile Development, AI Ethics

Fees: ₹17-19 Lakhs total (₹4.25-4.75 Lakhs per year) – premium pricing reflecting SRM's reputation

Eligibility: 10+2 with 60% in PCM; SRMJEEE (SRM Engineering Entrance Exam) or JEE Main score

Admission: SRMJEEE entrance test or JEE Main score; Online counselling based on merit

Placements: Excellent placement with diverse recruiters. Average fresher salary: ₹9-13 LPA; Experienced: ₹20-35 LPA. Top recruiters: Cognizant, TCS, Infosys, HCL, Accenture. Placement rate: 88-92%; 420+ seats in AI & ML specialization

Unique Features:

  • 70+ years of engineering education excellence

  • Multiple campuses (Chennai, Delhi, Bangalore, Pune)

  • Strong alumni network in tech companies

  • Industry partnerships with Fortune 500 companies

  • Research-focused curriculum

  • Excellent labs and computing facilities

Career Paths: Software Engineer, ML Engineer, AI Developer, Data Scientist, Solution Architect, Startup Founder, Technical Consultant


BTech CSE (AI & ML) – Lovely Professional University (LPU)​

Overview: A 4-year BTech program from Lovely Professional University (LPU) in Jalandhar, Punjab. LPU is known for strong industry connections and comprehensive placement support.

Program Structure:

  • Year 1: Mathematics, programming (C++, Python), computer fundamentals, web development basics

  • Year 2: Data structures, algorithms, databases, web technologies, introduction to AI/ML

  • Year 3-4: Machine learning, deep learning, computer vision, NLP, big data, specialization electives, internship, capstone

Core Subjects: Programming, Data Structures, Algorithms, Databases, Web Development, Machine Learning, Deep Learning, Computer Vision, NLP, Reinforcement Learning, Data Science, Cloud Computing, Mobile Development, AI Robotics

Fees: ₹14.40 Lakhs total (₹3.60 Lakhs per year) – competitive private university pricing

Eligibility: 10+2 with 60% in PCM; LPUNEST (LPU National Entrance and Scholarship Test) required

Admission: LPUNEST entrance exam or merit-based on 10+2 marks; Merit scholarships available (30-50% tuition waiver based on entrance performance)

Placements: Strong placement with average fresher salary: ₹8-12 LPA; Experienced: ₹18-30 LPA. Top recruiters: Microsoft, Google, Infosys, Wipro, Amazon. Placement rate: 85-90%

Unique Features:

  • Strong industry partnerships and recruitment drives

  • Extensive internship placement support

  • Merit scholarships and financial aid available

  • International exposure through exchange programs

  • Active alumni network

  • Focus on entrepreneurship and startups

Career Paths: Software Developer, ML Engineer, Data Scientist, AI Engineer, Cloud Architect, Entrepreneurship, Technical Consultant

Course Website: lpu.in


BTech CSE (AI & ML) – Galgotias University​

Overview: A 4-year BTech program from Galgotias University in Greater Noida, offering one of the most affordable private university AI programs with good quality standards.

Program Structure:

  • Year 1-2: Programming fundamentals, mathematics, data structures, algorithms, web technologies, introduction to AI

  • Year 3-4: Advanced machine learning, deep learning, data science, specialization electives, projects, internship

Core Subjects: Programming (C++, Python, Java), Data Structures, Algorithms, Databases, Web Development, Machine Learning, Deep Learning, Data Analytics, Cloud Computing, Software Engineering, AI Applications

Fees: ₹6.16 Lakhs total (₹1.54 Lakhs per year) – one of most affordable private university options

Eligibility: 10+2 with 60% in PCM; GEEE (Galgotias Engineering Entrance Exam) or JEE Main/Merit-based

Admission: GEEE entrance test, JEE Main score, or merit-based selection

Placements: Good placement with IT companies. Average fresher salary: ₹6-10 LPA; Experienced: ₹12-25 LPA. Top recruiters: HCL, Tech Mahindra, Cognizant, Infosys. Placement rate: 80-85%

Unique Features:

  • Highly affordable fees for quality education

  • Growing industry network and partnerships

  • Practical labs and hands-on projects

  • Merit-based financial aid available

  • Good scholarship programs

Career Paths: Software Developer, ML Engineer, IT Professional, Data Analyst, Web Developer, AI Engineer


BTech AI & Data Science – MIT-WPU Pune​

Overview: A 4-year BTech program from MIT World Peace University (MITWPU) in Pune, leveraging the city's strong tech and automotive industries.

Program Structure:

  • Year 1: Mathematics, programming (Python, Java), physics, chemistry, communication skills

  • Year 2: Data structures, algorithms, databases, web technologies, discrete mathematics

  • Year 3-4: Machine learning, deep learning, data science applications, specialization courses, internship, capstone project

Core Subjects: Programming Languages, Data Structures & Algorithms, Databases, Machine Learning, Deep Learning, Data Science, Statistical Methods, Cloud Computing, Web Technologies, Software Engineering, AI Applications, Robotics Integration, Data Visualization

Fees: ₹14.80 Lakhs total (₹3.70 Lakhs per year)

Eligibility: 10+2 with 60% in PCM; JEE Main or MHT-CET (Maharashtra) score

Admission: JEE Main / MHT-CET score-based counselling

Placements: Good placement with average fresher salary: ₹7-11 LPA; Experienced: ₹15-28 LPA. Top recruiters: Accenture, TCS, Infosys, Cognizant. Placement rate: 85-90%

Unique Features:

  • Pune's automotive and IT ecosystem proximity

  • Research-oriented curriculum

  • Industry collaborations

  • Flexible curriculum structure

  • Strong alumni network in Pune tech companies

Career Paths: Software Developer, Data Scientist, ML Engineer, AI Developer, Automation Engineer, Technical Consultant


BTech AI & Data Science – KCC ITM Greater Noida​

Overview: A 4-year BTech program from K.L. Mangalam University (KCC ITM), one of the most cost-effective on-campus AI programs in India.

Program Structure:

  • Year 1-2: Programming fundamentals, mathematics, physics, chemistry, computer basics, algorithms

  • Year 3-4: Machine learning, deep learning, data analytics, AI applications, capstone project, internship

Core Subjects: Programming, Data Structures, Algorithms, Databases, Operating Systems, Web Development, Machine Learning, Deep Learning, Data Science, Business Analytics, Software Engineering, Cloud Technologies

Fees: ₹4.58 Lakhs total (₹1.14 Lakhs per year) – among the most affordable on-campus BTech AI programs

Eligibility: 10+2 with 50% in PCM

Admission: Merit-based selection

Placements: Decent placement with IT companies. Average fresher salary: ₹6-10 LPA; Experienced: ₹12-22 LPA. Top recruiters: Infosys, TCS, HCL, Wipro, Tech Mahindra. Placement rate: 78-85%

Unique Features:

  • Highly affordable fees making quality education accessible

  • Merit-based admission (no entrance exam required)

  • Growing campus infrastructure

  • Industry partnerships

  • Good scholarship support

Career Paths: Software Developer, IT Professional, Data Analyst, Support Engineer, Jr. Developer, ML Trainee

Course Website: kccitm.edu.in


BTech AI & ML – SRM University Haryana​

Overview: A 4-year BTech program from SRM University Haryana (satellite campus in Sonepat), extending SRM's quality engineering education to the NCR region.

Program Structure: Similar to SRM Chennai with focus on machine learning, deep learning, data science, and practical applications through projects and internships.

Fees: ₹12.00 Lakhs total (₹3.00 Lakhs per year)

Eligibility: 10+2 with 60% in PCM

Admission: Merit-based or entrance exam

Placements: Good placement with average fresher salary: ₹7-11 LPA; Experienced: ₹15-28 LPA. Top recruiters: Cognizant, Accenture, IBM, TCS. Placement rate: 85-90%

Unique Features:

  • SRM's established reputation and curriculum

  • NCR location providing tech hub proximity

  • Industry partnerships

  • Research-focused programs

Career Paths: Software Engineer, ML Engineer, Data Scientist, Cloud Architect, IT Consultant

Course Website: srmuniversity.ac.in


BTech AI & Data Science – SRMIST Chennai​

Overview: A 4-year BTech program from SRM Institute of Science and Technology with premium positioning and focus on both AI and data science integration.

Program Structure:

  • Year 1: Mathematics, physics, chemistry, programming, communication

  • Year 2: Advanced programming, algorithms, databases, software engineering, web technologies

  • Year 3-4: Machine learning, deep learning, data science, computer vision, NLP, specialization electives, internship, capstone

Core Subjects: Programming Languages (C++, Java, Python), Algorithms, Databases, Machine Learning, Deep Learning, Data Science, Statistical Methods, Computer Vision, NLP, Data Analytics, Cloud Computing, Big Data Technologies, AI Ethics, Robotics

Fees: ₹19.00 Lakhs total (₹4.75 Lakhs per year) – premium tier pricing

Eligibility: 10+2 with 60% in PCM; SRMJEEE or JEE Main required

Admission: SRMJEEE entrance or JEE Main score

Placements: Excellent placement with average fresher salary: ₹9-13 LPA; Experienced: ₹20-35 LPA. Top recruiters: Microsoft, Google, Amazon, Flipkart. Placement rate: 88-92%; Some specialized roles reach ₹1+ Crore

Unique Features:

  • SRM's flagship campus with premium infrastructure

  • State-of-the-art AI research labs

  • Strong international partnerships

  • Distinguished faculty and researchers

  • Comprehensive career development programs

  • Alumni network across global tech companies

Career Paths: AI Research Scientist, ML Architect, Senior Data Scientist, Tech Lead, Startup Founder, International Career Opportunities

Course Website: srmist.edu.in


Additional Government Colleges:


Punjab Engineering College (PEC) Chandigarh​

Program: BTech in Computer Science Engineering (Artificial Intelligence)

Duration: 4 years

Fees: ₹7.04 Lakhs (Tuition) + ₹3.10 Lakhs (Hostel) + ₹19,000 (Admission fees) = ₹10.73 Lakhs total​

Seats: 25-30 seats per batch

Eligibility: 10+2 with 75% in PCM + JEE Main score

Admission: JEE Main + JoSAA Counselling​

Ranking: #101-150 NIRF 2024 (Engineering category)​

Placement: Average package ₹15.97 Lakhs; Highest ₹83 Lakhs; Placement rate 90-92%​

Unique Features:

  • Recently introduced course (2023-24 session)

  • Instant hit with students—lowest closing rank (9,240) among peers​

  • Part of prestigious Punjab Engineering College network

  • Strong curriculum with modern AI focus

  • Curriculum includes Generative AI and AI for Social Good courses​

Course Website: pec.ac.in


IIT Guwahati – BTech Data Science & Artificial Intelligence​

Program: BTech in Data Science and Artificial Intelligence

Duration: 4 years

Fees: ₹8.50 Lakhs (estimated, similar to other IITs)

Eligibility: 10+2 with PCM + JEE Advanced qualification

Admission: JEE Advanced + JoSAA Counselling

Ranking: #10 NIRF 2024 (Engineering category) – IIT Guwahati's highest ranking​

Special Features:

  • Designed in collaboration with Mehta Family Foundation Care, USA

  • Focus on data science with AI applications

  • Hands-on lab courses in data science (R, Python), AI fundamentals, machine learning, big data analytics​

  • Access to world-class research infrastructure

  • Strong School of Data Science & Artificial Intelligence with faculty specializing in diverse AI areas​

Placement: Strong placement with top tech companies; Average fresher salary: ₹9-14 LPA​

Course Website: iitg.ac.in


Thapar Institute of Engineering & Technology (TIET) Patiala – BTech AI & ML​

Program: BE in Artificial Intelligence and Machine Learning (Also called B.Tech. AI & ML)

Duration: 4 years

Fees: ₹19.56 Lakhs (Tuition) + ₹4.80 Lakhs (Hostel) + ₹30,000 (One-time) = ₹24.66 Lakhs total​

Eligibility: 10+2 with 60% in PCM – 50% seats via JEE Main, 50% seats via Merit (Class 12 marks)

Admission: 50% JEE Main score-based + 50% merit-based (Class 12 performance)​

Ranking: #29 NIRF 2024 (Engineering category)​

Placement (2023):

  • Average Salary: ₹11.90 Lakhs

  • Highest Salary: ₹55.75 Lakhs

  • Median Salary: ₹11.89 Lakhs

  • Placement Rate: 83%

Unique Features:

  • Partnership with NVIDIA for Thapar School of Advanced AI and Data Science​

  • Centre of Excellence with University of Queensland (UQ), Australia focused on responsible, scalable AI​

  • Postgraduate Master's Program in AI, ML, and Data Science for working professionals

  • Professional development AI training courses

  • Industry partnerships for research and development

Key Curriculum Areas: Advanced Deep Learning, AI Programming (Python libraries), Autonomous Robotics, Reinforcement Learning, Conversational AI, Generative AI, Language Models, Transformers​

Course Website: thapar.edu


Sant Longowal Institute of Engineering & Technology (SLIET) Longowal, Sangrur – BTech AI & Data Science​

Program: BE in Artificial Intelligence and Data Science (GAI Program)

Duration: 4 years

Fees: ₹2.10 Lakhs total – HIGHLY AFFORDABLE

Seats: 38 seats per batch

Eligibility: 10+2 with PCM subjects + JEE Main score

Admission: JEE Main + JoSAA Counselling

Ranking: #76 NIRF 2024 (Engineering category)

Placement: 50-70% placement rate (core engineering focus)​

Program Launch: July 2025 – NEW PROGRAM

Curriculum Highlights:

  • Artificial Intelligence & Machine Learning

  • Deep Learning & Computer Vision

  • Natural Language Processing

  • Data Science & Big Data Analytics

  • Cloud Computing & Cybersecurity

  • Emerging Technologies

  • Strong theoretical foundations with practical applications

Career Opportunities: AI Engineer, Data Scientist, ML Specialist, NLP Engineer, Computer Vision Expert, Business Intelligence Developer, Research Scientist, AI Product Manager​

Unique Features:

  • Government institute with minimal fees

  • Recently launched modern AI program

  • Strong emphasis on emerging technologies

  • Focus on career preparation in AI-driven industries

Course Website: sliet.ac.in


Chitkara University Chandigarh – BE in CSE (AI & Future Technologies)​

Program: B.E. Computer Science Engineering with specialization in AI & Future Technologies (includes Blockchain, Cloud Computing, Cyber Security)

Duration: 4 years

Fees: ₹12-14 Lakhs (estimated for 4 years)

Eligibility: 10+2 with 60% in PCM

Admission: Merit-based entrance

Ranking: #25 NIRF 2024 (Engineering category)

Special Features:

  • Multidisciplinary approach combining AI, Blockchain, Cloud, and Cybersecurity

  • Co-developed with industry leaders like Microsoft and ARAI

  • 6-month to 1-year internship with global tech leaders​

  • International credit transfer option (study in India then abroad)

  • Industry-aligned projects and hands-on labs

  • Focus on innovation and entrepreneurship

  • Capstone projects solving real-world problems

Curriculum:

  • Advanced Algorithms & Data Structures

  • AI & Machine Learning

  • Blockchain Development

  • Cyber Security

  • Cloud Computing

  • Additional electives in robotics, project management

Career Paths: AI Developer, Cloud Architect, Blockchain Developer, Cybersecurity Specialist, Solution Architect, Startup Founder​

Course Website: chitkara.edu.in


Chandigarh Group of Colleges (CGC) Landran – BTech AI & ML​

Program: B.Tech. Artificial Intelligence & Machine Learning

Duration: 4 years (8 semesters)

Location: Mohali (Landran, Punjab)

Affiliation: I.K. Gujral Punjab Technical University, Jalandhar

Ranking: #101-150 NIRF 2024

Features:

  • Top artificial intelligence college in Mohali region​

  • Specialized knowledge for developing intelligent software solutions

  • Access to top faculty, cutting-edge software and technologies

  • State-of-the-art facilities

Curriculum: Artificial Intelligence, Image Processing, Machine Learning, Advanced Search Technique, Soft Computing, Artificial Neural Networks, Data Analytics, Deep Learning, Human-Computer Interaction, Speech Processing, Natural Language Processing​

Course Website: cgccoe.org / cgc.ac.in


Chandigarh Group of Colleges (CGC) Jhanjeri – BTech AI & ML (LEET)

Program: B.Tech. AI & ML (Lateral Entry Engineering Test – LEET)

Duration: 3 years (for diploma holders)

Location: Mohali (Jhanjeri, Punjab)

Eligibility: Diploma holders in relevant fields

Admission: LEET (Lateral Entry Engineering Test)

Ranking: #101-150 NIRF 2024

Special Feature: Pathway for diploma holders to join BTech second year; becomes 3-year program

Placements:

  • Highest Package: ₹1 Crore

  • 10,000+ Placement Offers

  • 1,200+ Recruiters

  • 25-30 LPA offered by 200+ companies

  • 10 LPA offered by 500+ companies

Course Website: cgc.ac.in


Summary Comparison Table

The summary table above provides a consolidated view of all 18 major undergraduate AI programs in India, making it easy to compare based on fees, duration, salary expectations, placement rates, and institute type.


Key Decision Framework

Choose BSc if you:

  • Prefer 3-year programs over 4-year commitments

  • Are interested in theoretical AI foundations and research

  • Want flexibility (BITS/IGNOU online options available)

  • Have lower budget constraints (IGNOU at ₹6,000)

  • Plan to pursue MSc/PhD later


Choose BTech if you:

  • Want comprehensive engineering education with AI specialization

  • Prefer hands-on project work and industry internships

  • Seek roles as AI Engineers, Software Developers, or ML Engineers

  • Value 4-year immersive campus experience

  • Target higher salary packages in specialized roles


Choose Government (IIT/NIT) if you:

  • Can compete in JEE Advanced/Main exams

  • Seek best quality-to-cost ratio (₹6-9.5 Lakhs for 4 years)

  • Want networking with high-performing peers

  • Target top companies like Google, Microsoft, Amazon

  • Value research and academic prestige


Choose Private Universities if you:

  • Cannot meet JEE cut-offs but want quality education

  • Prefer specific locations (Vellore, Pune, Chennai, Noida)

  • Want flexible admission criteria (merit-based vs. entrance exams)

  • Seek industry partnerships and placement support

  • Have budget for premium programs (₹7-19 Lakhs for 4 years)


This comprehensive guide to undergraduate AI Courses should help you make an informed decision based on your academic background, career goals, budget, and preferred learning environment.

 
 
 

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