Programme Overview

The B Tech In AI And ML at Atharva University, Mumbai, is a four-year program designed to prepare students for an AI-driven future. Focusing on practical skills, this course equips students to understand and apply AI and machine learning to solve real-world challenges. Known as one of the best B.Tech in Artificial Intelligence and Machine Learning, Atharva offers hands-on projects and industry exposure, ensuring you’re ready to succeed in the tech world and make an impact in various industries.

Complete Curriculum

This comprehensive curriculum combines strong foundations in programming, data structures, algorithms, and core engineering subjects with advanced concepts in machine learning, artificial intelligence, and data-driven systems, ensuring students are equipped to meet real-world industry challenges.

Key Learning Areas

Students will explore Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and AI Ethics, gaining in-depth expertise in cutting-edge AI and ML domains.

Practical Skills

Hands-on training includes TensorFlow, PyTorch, cloud-based AI platforms, and modern analytics tools, enabling students to develop scalable intelligent systems and predictive models effectively.

Hands-On Learning

Learning takes place at Atharva University's state-of-the-art Centre of Excellence labs, with interdisciplinary exposure through real-time industry projects, case studies, and compulsory internships that provide real-world industry experience.

Global Certifications

The programme covers international certification opportunities and value-added programmes, giving students a competitive advantage in the global AI/ML job market.

Research & Innovation

Students gain exposure to emerging AI technologies through research, innovation, and entrepreneurship projects. The curriculum nurtures start-up incubation opportunities, ensuring graduates are future-ready AI and ML practitioners — both technically competent and strategically minded.

Duration & Eligibility

Requirements and selection process for the B.Tech AI/ML program

Requirements and selection process for the B Tech In AI And ML

The B Tech In AI And ML program is designed to equip students with the skills necessary to tackle the growing challenges in AI-driven industries.The course offers global certification opportunities and introduces students to the latest AI technologies through hands-on research and innovation projects. Known as one of the top B.Tech in Artificial Intelligence and Machine Learning , this program focuses on practical learning, ensuring students are ready to work with the cutting-edge technologies shaping the future.

Duration

4 Years (Full-time)

Eligibility

Class 12 (HSC) or equivalent with at least 45% marks in Physics, Chemistry, and Mathematics (40% for reserved categories)

Selection Process

Admission based on JEE / MHT CET / PERA CET scores or Atharva University's All India Entrance Test followed by a personal interview

Programme Highlights

Hands-on learning and advanced concepts for the next wave of B Tech In AI And ML .

From hands-on learning with industry-standard tools like TensorFlow and PyTorch to working on real-world projects, our program ensures you’re ready to tackle complex challenges in AI. With advanced concepts and the latest developments, the curriculum is designed to equip you with the skills and expertise needed for the next wave of innovation in the tech world.

AI-Driven Curriculum Enhancements

Learn specialized modules aligned with global industry needs, preparing you to develop intelligent systems and predictive models for emerging digital ecosystems and industries of the future.

Advanced Machine Learning Frameworks

Gain practical expertise in TensorFlow, PyTorch, and cloud-based AI platforms, focusing on scalable application development to identify patterns and optimize intelligent solutions.

Research & Innovation Opportunities

Explore advanced research in data science and machine learning domains, equipping you with skills to contribute to solving real-world problems across diverse industries.

Entrepreneurship & Start-up Ecosystem

Understand the critical role of innovation, entrepreneurship, and start-up incubation in AI/ML, ensuring practical business applications and industry readiness.

Hands-On Industry Experience

Engage in industry internships, capstone projects, and hands-on learning with leading technology partners, applying classroom knowledge to real-world AI/ML challenges and developing career-ready skills.

Skill-Based Project Learning

Boost your profile with project-oriented learning, global certifications, value-added programmes, and practical exposure in specialized AI and ML domains.

Atharva Cutting-Edge Labs:

Artificial Intelligence and Expert System Lab
Reinforcement Learning Lab
Natural Language Processing Lab
Deep Learning Lab
Data Analytics and Visualization Lab
Machine Learning Lab

Programme Outcomes

What our graduates will be able to accomplish after completing the program

AI/ML Systems Development

Apply concepts of artificial intelligence, machine learning, deep learning, and natural language processing to build intelligent systems and predictive models for real-world applications.

Modern Framework Expertise

Use modern AI/ML frameworks like TensorFlow and PyTorch, along with cloud platforms, to design and optimize scalable applications that meet industry standards.

Research & Innovation Skills

Develop research and entrepreneurial skills through innovation-driven projects and industry exposure, contributing to technological advancement in AI and ML.

Real-World Problem Solving

Contribute to solving complex problems in diverse fields such as healthcare, FinTech, automation, and data science through intelligent AI/ML solutions.

Career Support & Opportunities

Atharva University bridges academics with industry, ensuring students are job-ready for high-demand AI/ML roles.

Atharva University provides strong placement support and internship opportunities for AI/ML students through its extensive industry network. Students benefit from career support services with leading companies such as IBM, TCS, Infosys, Wipro, Capgemini, Deloitte, PwC, HCL, KPMG, Accenture, and Palo Alto Networks. Career support initiatives, industry mentorship, and project-based learning ensure graduates are well-prepared for high-growth careers in AI and ML engineering across global technology sectors.

Course Structure

	AI & ML
Sr No	Course Title	Semester
1	Engineering Mathematics – I	I
2	Engineering Chemistry	I
3	Technical & Professional Communication	I
4	Digital Logic Design	I
5	Discrete Mathematics	I
6	Engineering Chemistry Lab	I
7	Technical & Professional Communication Lab	I
8	Digital Logic Design Lab	I
9	Programming Fundamentals Lab (C/C++)	I
10	Design Thinking Lab	I
11	Foreign Language (German/French)	I

	AI & ML
Sr No	Course Title	Semester
1	Engineering Mathematics – II	II
2	Engineering Physics	II
3	Object Oriented Programming with Java	II
4	Data Structure and Algorithms	II
5	Introduction to Data Science	II
6	Engineering Physics Lab	II
7	Object Oriented Programming with Java Lab	II
8	Data Structure and Algorithms Lab	II
9	Data Science Lab	II
10	Indian Knowledge System	II
11	Foreign Language (German/French)	II

	AI & ML
Sr No	Course Title	Semester
1	Linear Algebra	III
2	Theoretical Computer Science	III
3	Analysis Of Algorithms	III
4	Database Management System	III
5	Computer Networks	III
6	Python Programming	III
7	Economics for Engineers	III
8	Analysis Of Algorithms Lab	III
9	Computer Networks Lab	III
10	Database Management System Lab	III
11	Foreign Language (German/French)	III

	AI & ML
Sr No	Course Title	Semester
1	Probability and Statistics	IV
2	Artificial Intelligence	IV
3	Machine Learning	IV
4	Operating System	IV
5	Advanced Python Programming	IV
6	Artificial Intelligence Lab	IV
7	Machine Learning Lab	IV
8	Operating System Lab	IV
9	Open Elective – II	IV
10	Multidisciplinary Minor – I	IV
11	Multidisciplinary Minor – I Lab	IV
12	Foreign Language (German/French)	IV

FAQ’s

Q1. What is the B.Tech in Artificial Intelligence & Machine Learning program at Atharva University?

The B.Tech in Artificial Intelligence & Machine Learning (AI & ML) at Atharva University is a 4-year undergraduate program designed to equip students with in-depth knowledge and hands-on experience in cutting-edge AI technologies. The program emphasizes machine learning algorithms, data science, deep learning, natural language processing, computer vision, and AI applications across industries.

Q2. What are the eligibility criteria for admission to this program?

To be eligible, candidates must have passed 10+2 with Physics, Mathematics, and Chemistry/Computer Science as core subjects, securing at least 45% aggregate marks. Admission is based on merit and performance in Atharva University’s entrance exam JEE Main, or MHT-CET.

Q3. What makes Atharva University’s AI & ML program unique?

Atharva University offers:

Industry-aligned curriculum co-designed with leading AI professionals.
Hands-on lab sessions and project-based learning.
Regular industry interactions, guest lectures, and workshops.
Internship opportunities with tech giants and startups.
Career support through the dedicated Training & Placement Cell.

Q4. What career opportunities are available after completing this program?

Graduates can pursue diverse roles such as:

AI Engineer
Machine Learning Scientist
Data Analyst / Data Scientist
Robotics Engineer
NLP Engineer
Business Intelligence Developer

They can work across sectors like IT, healthcare, finance, automotive, education, and more.

Q5. Does Atharva University offer internships or industry collaborations?

Yes, the university has collaborations with leading tech firms and research organizations. Students are encouraged to take up internships from the 3rd year onwards. Our Placement Cell assists in securing internships and job placements with companies like TCS, Infosys, Wipro, Accenture, IBM, and AI-focused startups.

Q6. What kind of labs and facilities are available for AI students?

The university houses a state-of-the-art Lab, Cloud Computing Center, and High-Performance Computing Facility. These labs are equipped with the latest tools, software, and GPU-based computing systems to facilitate advanced AI and ML experimentation.

Q7. Are there opportunities for research or higher studies?

Absolutely. Students can participate in faculty-led research projects, publish papers, and present at conferences. The program lays a strong foundation for pursuing M.Tech, MS, or Ph.D. in AI, ML, Data Science, or related fields in India or abroad.

Q8. Is there an entrance exam for the program?

Yes, applicants can appear for Atharva University All India Entrance Test. Scores from national/state-level exams such as JEE Main and MHT-CET are also accepted.

Q9. Can students from non-computer science backgrounds apply?

No, the program is structured for students from a science background with mathematics. Candidates must have studied Physics and Mathematics in 10+2 to be eligible.

Q10. What is the fee structure for the B.Tech in AI & ML?

Detailed fee breakup and scholarship criteria can be found in the admissions brochure.
Scholarships are available for meritorious students.

Q11. What soft skills and extracurricular opportunities are offered?

Students are trained in communication, teamwork, leadership, and problem-solving through workshops and clubs. Technical fests, hackathons, AI forums, and student chapters of IEEE and ACM also offer vibrant extracurricular engagement.