Manav Rachna University, Faculty of Engineering Faridabad B.Tech CSE (Hons.) with Specialization in Generative AI (Google Cloud): Fees 2026, Course Duration, Dates, Eligibility

Faridabad, HaryanaEstd 2004NAAC Grade A
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Collegedunia Team

Content Curator | Updated 3+ months ago

The B.Tech in Computer Science and Engineering (Hons.) with Specialisation in Artificial Intelligence & Machine Learning at Manav Rachna University (MRU), Faridabad is a full-time, on-campus 4-year programme (8 semesters) offered in association with HCL Guvi and Xebia. The programme integrates core computer science principles with advanced AI/ML specialisation covering machine learning algorithms, neural networks, deep learning, natural language processing, computer vision, data analytics, and AI application development. The curriculum is co-designed, co-delivered, and co-certified by Xebia experts, with direct learning sessions from industry professionals during each semester. The total fee for the 4-year programme is Rs. 13,35,200 (Rs. 3,33,800 per year). Admissions are based on merit in JEE Mains, MRNAT, SAT, CUET, or qualifying Class 12 examination. The programme is popular due to its strong industry partnerships, NBA accreditation, NAAC 'A' Grade, and the explosive global demand for AI/ML professionals across all sectors.

Admissions for the 2026-27 session are currently open. Applications can be submitted online at apply.manavrachna.edu.in. Counselling and admission offers are rolled out on a rolling basis from January 25, 2026 onwards, and classes are scheduled to commence from July 18, 2026.

Key Points

  • Curriculum co-designed, co-delivered, and co-certified by Xebia and HCL Guvi experts; students receive direct learning from industry professionals during each semester.
  • Industry collaborations include Xebia, HCL Guvi, Google Cloud, MongoDB, UIPath, Infosys Springboard, and AWS - providing comprehensive AI/ML ecosystem exposure.
  • NBA Accredited (2023) and NAAC 'A' Grade accredited department; QS Platinum Rating for Engineering.
  • 6 Centres of Excellence for hands-on learning and innovation in AI, ML, and related technologies.
  • Specialisation subjects include: Artificial Intelligence, Machine Learning, Neural Networks & Fuzzy Logic, Data Warehousing and Data Mining, Image Processing, Information Retrieval, Mobile Application Analytics, and Introduction to Blockchain Technology.
  • Remote/onsite internship opportunities with Xebia or their clients; industrial visits to Xebia during the semester.
  • Students get access to LinkedIn Learning licences and GitHub accounts; active membership with IEEE and ICT Academy.
  • Highest CTC offered at MRU: Rs. 60 LPA; 600+ MNCs and Indian corporates recruit from campus.

MRU B.Tech AI & ML Fees

Fee Structure

Fee ComponentAmount (Rs.)Remarks
Tuition Fee (per year)₹2,13,900As per fee structure (1st installment: Rs. 2,13,900; 2nd installment: Rs. 1,19,900)
Development Fee (per year)₹46,800Rs. 23,400 per installment
Training Partner Fee (per year)₹76,000Rs. 38,000 per installment (HCL Guvi/Xebia industry partner fee)
Student Resource Fee (per year)₹15,000One-time per year
Total Fee per Year (AY 2026-27)₹3,33,800As per official MRU fee structure for AY 2026-27
Total Fees (4-Year Programme)₹13,35,200For complete 4-year B.Tech duration
  • The fee of Rs. 3,33,800 per year is applicable for Indian students for AY 2026-27.
  • Fees for NRI and international students are different and shared upon enquiry.
  • University Fee includes a Lifetime Alumni Membership Fee of Rs. 3,000 (one time at the time of admission).
  • Payment can be made via online payment (net banking, debit/credit card, UPI), bank transfer (NEFT/RTGS), Demand Draft, cash at the Accounts Office, or education loan through tie-ups with PNB, SBI, HDFC, and ICICI.
  • Hostel facility is available on campus (optional).
  • Hostel fee is separate and varies by room type (single, double, triple; AC and non-AC options available).
  • Hostel fee to be confirmed with the university at the time of admission.

MRU B.Tech AI & ML Admission 2026

MRU Admission Calendar - AY 2026-27

EventDate
Application Form Available OnlineOctober 1, 2025 onwards
Counselling and Admission Offers (MRNAT/JEE Mains applicants)January 25, 2026 onwards (rolling basis)
Counselling and Admission Offers (SAT score applicants)March 15, 2026 onwards
Classes CommenceJuly 18, 2026
  • Admission is based on merit in JEE Mains, MRNAT, SAT, CUET, or qualifying Class 12 examination.
  • No separate entrance exam is conducted by MRU for B.Tech admissions.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Pass in Class 10+2 examination with at least 60% marks in aggregate in 5 subjects: English, Physics, Mathematics, one subject from Chemistry/Computer Science/Biology/Biotechnology, and one subject with the highest score from remaining subjects.
  • Open to Indian, NRI, PIO, and foreign candidates.

Admission Process

  • Visit apply.manavrachna.edu.in and register to fill the online application form with personal, educational, and contact details.
  • Upload scanned copies of required documents: Class 10 and 12 mark sheets, Aadhaar card, and passport-size photographs.
  • Pay the application fee online via net banking, debit/credit card, or UPI.
  • Submit qualifying exam scores (JEE Mains, MRNAT, SAT, CUET, or Class 12 marks) as applicable.
  • Shortlisted candidates receive an offer of admission based on merit; accept the offer and pay the first installment of fees to confirm the seat.
  • Attend orientation and commence classes from July 18, 2026.

MRU B.Tech AI & ML Scholarships 2026

Scholarship Schemes

Scholarship / SchemeEligibilityTuition Fee WaiverRemarks
Utkarsh Scheme (MRNAT 2026)MRNAT 2026 score of 90% and above100% Tuition Fee WaiverValid for admissions taken between January 25, 2026 and May 15, 2026
Utkarsh Scheme (MRNAT 2026)MRNAT 2026 score of 80% to below 90%50% Tuition Fee WaiverValid for admissions taken between January 25, 2026 and May 15, 2026
Utkarsh Scheme (MRNAT 2026)MRNAT 2026 score of 70% to below 80%25% Tuition Fee WaiverValid for admissions taken between January 25, 2026 and May 15, 2026
Uttam Scheme (MRNAT 2026)MRNAT 2026 score of 90% and above100% Tuition Fee WaiverValid for admissions taken between May 16, 2026 and June 30, 2026
Uttam Scheme (MRNAT 2026)MRNAT 2026 score of 80% to below 90%25% Tuition Fee WaiverValid for admissions taken between May 16, 2026 and June 30, 2026
Merit Scholarship (Qualifying Exam)98% and above in Class 12100% Tuition Fee WaiverApplicable for UG programmes
Merit Scholarship (Qualifying Exam)95% to 97.99% in Class 1250% Tuition Fee WaiverApplicable for UG programmes
Merit Scholarship (Qualifying Exam)90% to 94.99% in Class 1225% Tuition Fee WaiverApplicable for UG programmes
Merit Scholarship (Qualifying Exam)85% to 89.99% in Class 1210% Tuition Fee WaiverApplicable for UG programmes
Sports ScholarshipNational-level medal winner50% Tuition Fee WaiverSubject to Sports Committee approval
Sibling ScholarshipSibling already enrolled at any MREI institution10% Tuition Fee Waiver (max Rs. 5,000 one time)Only elder sibling gets the benefit
Alumni ScholarshipAlumnus of any Manav Rachna institution10% Tuition Fee Waiver (max Rs. 5,000 one time)One time at the time of admission
Only Girl Child ScholarshipOnly girl child with 60% aggregate in Class 1210% Tuition Fee Waiver (max Rs. 5,000 one time)One time at the time of admission
  • A student can avail only one scholarship/freeship scheme, whichever is higher, subject to availability of scholarship seats.
  • Total scholarships under all categories are limited to a maximum of 20% of the sanctioned intake.
  • For continuation of scholarship in subsequent semesters: minimum SGPA of 7.5 per semester without any backlog, 85% attendance, and no disciplinary action.
  • Scholarship applies only to tuition fee; other charges (development fee, training partner fee, etc.) are payable in full.
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Table of Contents

MRU B.Tech AI & ML FAQs

Ques. What is the difference between B.Tech CSE (Hons.) AI & ML and regular B.Tech CSE at MRU?

Ans. The regular B.Tech CSE is a 4-year programme covering core computer science subjects without a specific industry specialisation. The B.Tech CSE (Hons.) AI & ML is also 4 years but includes an additional Honours specialisation in Artificial Intelligence and Machine Learning, co-designed and co-certified by Xebia and HCL Guvi. The Hons. variant includes dedicated AI/ML subjects like Machine Learning, Neural Networks & Fuzzy Logic, Data Warehousing and Data Mining, Image Processing, and Information Retrieval, along with direct learning sessions from Xebia industry experts, industrial visits, and remote/onsite internship opportunities with Xebia or their clients. The fee for the Hons. variant is higher due to the training partner fee component.

Ques. What is the role of Xebia and HCL Guvi in this programme?

Ans. Xebia is a global technology consulting and digital transformation company that co-designs the AI/ML specialisation curriculum, co-delivers specialisation courses through their experts, co-certifies the programme, and provides industrial visits and internship opportunities. HCL Guvi is the other industry knowledge partner, providing additional AI/ML learning resources and certification pathways. Together, they ensure the curriculum is aligned with current industry needs and that students gain practical, job-ready skills. The co-certification by Xebia and HCL Guvi adds significant value to the degree beyond the MRU B.Tech credential.

Ques. What AI/ML tools and technologies will students learn in this programme?

Ans. Students learn Python programming (the primary language for AI/ML), data structures and algorithms, machine learning algorithms (supervised, unsupervised, reinforcement learning), neural networks and deep learning, natural language processing, computer vision and image processing, data warehousing and data mining, and mobile application analytics. They also get exposure to Google Cloud AI tools, MongoDB for data management, UIPath for automation, and AWS AI services through MRU's industry partnerships. The curriculum includes hands-on lab sessions and real-world projects using these tools.

Ques. What are the career opportunities after B.Tech CSE (Hons.) AI & ML from MRU?

Ans. Graduates can work as Machine Learning Engineers, Data Scientists, AI Research Engineers, NLP Engineers, Computer Vision Engineers, Data Analysts, AI Product Managers, and Deep Learning Engineers. Career opportunities span IT companies, e-commerce, healthcare, fintech, automotive (autonomous vehicles), manufacturing (Industry 4.0), and government AI initiatives. Entry-level salaries for AI/ML roles typically range from Rs. 5-10 LPA, with experienced professionals earning Rs. 15-25 LPA or more at top tech companies. The highest CTC offered at MRU is Rs. 60 LPA.

Ques. Is there a difference between B.Tech CSE (Hons.) AI & ML and B.Tech CSE (Hons.) Generative AI at MRU?

Ans. Yes. B.Tech CSE (Hons.) AI & ML focuses on the broader spectrum of artificial intelligence and machine learning - covering classical ML algorithms, neural networks, data mining, image processing, and NLP. B.Tech CSE (Hons.) Generative AI is a newer specialisation focused specifically on generative models like GANs, diffusion models, large language models (LLMs), and AI content generation. Both are 4-year programmes with industry partnerships, but Generative AI is more focused on the cutting-edge subset of AI that powers tools like ChatGPT, DALL-E, and Midjourney. Students interested in a broader AI/ML foundation should choose AI & ML, while those specifically interested in generative models and LLMs should consider the Generative AI specialisation.

Ques. What internship and placement support is available for AI & ML students at MRU?

Ans. Internship opportunities are available with Xebia or their clients (remote/onsite), and through MRU's broader industry network including Google Cloud, AWS, MongoDB, and Infosys Springboard. The dedicated CRCDC (Corporate Resource Centre and Career Development Cell) provides year-round placement support including mock interviews, resume preparation, soft skills training, and campus recruitment drives. The "Super 40" initiative provides additional placement support to high-performing students. Over 600 MNCs and Indian corporates recruit from MRU's campus, and the highest CTC offered has been Rs. 60 LPA.

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