B.Tech. - Computer Science & Engineering (Artificial Intelligence & Machine Learning)
Course Code
Start Date
2023
Study Location
North Campus
Qualification
10+2
Department
Department of Computer Science & Engineering
Duration
4 Years
Course Overview
B.Tech. in Computer Science & Engineering (Artificial Intelligence and Machine Learning) is a 4-year undergraduate program that focuses on the latest advancements in AI and ML, including deep learning algorithms and natural language processing.
Students learn to apply these technologies to real-world problems such as image recognition, speech processing, recommendation systems, and fraud detection. The program emphasizes practical implementation and problem-solving skills.
The curriculum provides exposure to modern tools, cloud computing platforms, and big data analytics software, enabling students to build scalable and intelligent systems.
With experienced faculty support, industry collaboration, and career guidance services, students are well-prepared for internships and job opportunities in the rapidly growing field of Artificial Intelligence and Machine Learning.
B.Tech First Year:
- Candidate must have passed 10+2 or equivalent examination from a recognized board.
- Physics and Mathematics are compulsory subjects.
- One subject from Chemistry / Biotechnology / Biology / Technical Vocational subject.
- Minimum 45% marks (40% for reserved categories) in qualifying examination.
B.Tech Lateral Entry:
- 3-year Diploma in Engineering OR B.Sc. with Mathematics as a compulsory subject.
- Must be from a recognized institute or university.
- Minimum 45% marks (40% for reserved categories) in qualifying examination.
Job opportunities for B.Tech. in Computer Science & Engineering (AI & ML) graduates:
- Healthcare: AI Data Analyst, Machine Learning Engineer, Research Scientist
- Finance: Data Scientist, Business Intelligence Developer, AI Engineer
- E-commerce: Machine Learning Engineer, Big Data Engineer, UX Developer
- Core AI Roles: AI Engineer, NLP Engineer, Research Scientist
Graduates have strong career opportunities across multiple industries such as healthcare, finance, e-commerce, IT, and research. They can work as Machine Learning Engineers, Data Scientists, AI Researchers, and more.
The demand for AI & ML professionals is rapidly increasing, and with the right technical skills and practical experience, graduates can secure high-paying roles and contribute to cutting-edge technologies shaping the future.
Modules
The B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program is designed to equip students with advanced knowledge in computer science, artificial intelligence, and modern machine learning technologies. Students gain hands-on experience through coding labs, AI & ML projects, industrial training, internships, hackathons, and research-based learning.
The program prepares graduates for careers in Artificial Intelligence, Machine Learning, Data Science, Software Development, Automation, Robotics, and emerging technology-driven industries.
Fees and funding
| Academic fee (annual) | AKTU University exam fee (annual) |
|---|---|
| ₹ 84,930 | ₹ 7,500 |
The institute supports Uttar Pradesh state scholarships under the Post Matric / Dashmottar scheme. These scholarships are designed to help eligible students continue their education with financial assistance from the Government of Uttar Pradesh.
Major funding streams- Social Welfare Department Scholarships: For students belonging to the General and SC/ST categories, including economically weaker students where applicable.
- Backward Class Welfare Scholarships: For OBC students pursuing recognised post-matric and professional programmes.
- Minority Welfare Scholarships: For eligible students from minority communities such as Muslim, Sikh, Christian, Buddhist, Jain, and Parsi.
The Post Matric (Dashmottar) scholarship may provide tuition reimbursement and maintenance support to eligible UP students studying in recognised institutions. Amounts and benefits vary by course, category, and government guidelines for the academic year.
Income ceilings- General / OBC / Minority: Annual family income up to ₹2.0 lakh.
- SC / ST: Annual family income up to ₹2.5 lakh.
To apply, the student should be a permanent resident or domicile holder of Uttar Pradesh, enrolled in a recognised programme, and admitted through the applicable route such as counselling where mandated by the scheme. The student must also have an Aadhaar-linked bank account for DBT transfer.
Mandatory requirements- Minimum qualifying marks:Generally 60% in the last qualifying examination for many professional courses, subject to scheme rules.
- Attendance:Students must maintain the attendance level required by the institute and scholarship authorities; many institutions report attendance for verification.
- Entrance qualification:Valid JEE Main / CUET / equivalent qualification, wherever required by the programme or admission route.
- Aadhaar card.
- Caste certificate, if applicable.
- Tehsildar-issued income certificate.
- Recent fee receipts.
- Previous academic mark sheets.
- Counselling or allotment letter, where applicable.
- Bank account details linked with Aadhaar for DBT.
The scholarship cell assists students with application guidance, document verification, and online portal submission to help ensure timely and accurate processing. Students are also guided on Aadhaar linkage, bank verification, and form correction before final submission.
Important noteScholarship benefits are subject to the official rules of the Uttar Pradesh government and may change from year to year. Students should apply only through the official portal and submit complete, correct documents to avoid rejection or delay.
- To encourage academic progression within Naraina Group of Institutions by offering tuition relief when students continue higher education inside the Naraina Group.
- Applies when a student progresses to another NGI programme/year without interruption and meets NGI’s academic and conduct requirements.
How to apply
- Apply to the institute’s student services cell at admission for the subsequent NGI programme. Approval is subject to academic standing and administrative verification.
Why NGI
We are committed to empowering students with the knowledge, skills, and values needed to excel in a dynamic world.
Encouraging students to explore innovation through advanced research facilities and practical project-based learning.
Next steps
Experience campus at an Open Day. Can't visit? Receive regular email updates or ask current students and staff questions about life at NGI.