Learn how artificial intelligence is applied to real business problems. This program combines core engineering and AI fundamentals with business understanding, helping students work with data, automation, and decision systems used across industries such as finance, marketing, operations, and enterprise technology.
Minimum 60% aggregate in 10+2 or equivalent from any recognized board with Physics, Mathematics + Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational Subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship (with minimum 45% marks in the respective subject).
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This program focuses on how businesses use data, analytics, and artificial intelligence to improve efficiency, predict outcomes, and make informed decisions. Students learn engineering and AI fundamentals while developing a clear understanding of how technology supports business functions such as marketing, finance, operations, and strategy.
Learning is strengthened through practical exposure. Through internships, applied projects, and case-based learning, students observe how AI tools and data systems are used in real organisations. This hands-on approach helps students build analytical thinking, problem-solving skills, and workplace readiness.
Designed around how businesses are adopting AI, analytics, and automation across functions and industries.
Structured internships allow students to apply AI and data concepts to real business use-cases.
Students build strong technical foundations while understanding how AI supports business decisions.
Academic learning, digital modules, projects, and industry exposure work together to build practical capability.
Learn from faculty and mentors who guide students on AI concepts and their business applications.
Support for resume building, interview readiness, role clarity, and placement opportunities.
Awarded by Adamas University, ensuring academic credibility and professional recognition.
Key competencies you will develop during this program
| Subject | Credit |
|---|---|
| Engineering Mathematics I | 4 |
| Environmental Science | 3 |
| Applied Science | |
| Introduction to Programming | 2 |
| Electrical and Electronics Technology | |
| Programming Lab | 2 |
| Electrical and Electronics Technology Lab | |
| English Communication | 2 |
| Principles and Applications of AI | |
| Life Sciences | 2 |
| Design Thinking & Prototyping | 3 |
| Engineering Mechanics | |
| Engineering Drawing and CAD | 2 |
| Engineering Workshop | |
| Certification course | IIT |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| Engineering Mathematics II | 4 |
| Environmental Science | 3 |
| Applied Science | |
| Introduction to Programming | 2 |
| Electrical and Electronics Technology | |
| Programming Lab | 2 |
| Electrical and Electronics Technology Lab | |
| English Communication | 2 |
| Principle and Applications of AI | |
| Venture Ideation | 2 |
| Soft Skills and Aptitude I | 1 |
| Design Thinking & Prototyping | 3 |
| Engineering Mechanics | |
| Engineering Drawing and CAD | 2 |
| Engineering Workshop | |
| Certification course | IIT |
| Total Credit | 21 |
| Subject | Credit |
|---|---|
| Machine Learning Fundamentals | 4 |
| Business Analytics | 4 |
| Marketing Management | 4 |
| Object-Oriented Programming | 4 |
| Operations Research | 4 |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| Deep Learning & Neural Networks | 4 |
| Strategic Management | 4 |
| Data Mining & Warehousing | 4 |
| Financial Management | 4 |
| Cloud Computing | 4 |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| Natural Language Processing | 4 |
| Business Intelligence Systems | 4 |
| Supply Chain Analytics | 4 |
| Computer Vision | 4 |
| Internship I | 4 |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| AI for Business Applications | 4 |
| Predictive Analytics | 4 |
| Digital Marketing Analytics | 4 |
| Big Data Technologies | 4 |
| Ethics in AI | 4 |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| AI Solutions Architecture | 4 |
| Enterprise AI Systems | 4 |
| Customer Analytics | 4 |
| Elective I | 4 |
| Internship II | 4 |
| Total Credit | 20 |
| Subject | Credit |
|---|---|
| Capstone Project | 4 |
| AI Entrepreneurship | 4 |
| Industry 4.0 & IoT | 4 |
| Elective II | 4 |
| Professional Development | 4 |
| Total Credit | 20 |
| B.Tech in Artificial Intelligence & Data Science (Business Application) | Year 1 | Year 2 | Year 3 | Year 4 |
|---|---|---|---|---|
| Tuition Fee | 2,00,000 | 2,00,000 | 2,00,000 | 2,00,000 |
| Admission Fee | 43,800 | - | - | - |
| Total | 2,43,800 | 2,00,000 | 2,00,000 | 2,00,000 |
| Total Fee (4 Years) | 8,43,800 | |||
Join thousands of students who are transforming their careers with our innovative New-Gen learning Programs
Login to the Application Portal and start your application form.
Upload all required documents through the portal.
Appear for the university entrance exam.
Score 40% marks to be eligible for admission.
Accept the offer letter and pay the admission fees to confirm your admission.
Get answers to common questions about the B.Tech in Artificial Intelligence & Data Science (Business Application) Program