Nitra Technical Campus Ghaziabad B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Ghaziabad, Uttar PradeshEstd 2002 AKTU, Lucknow
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The Bachelor of Technology [B.Tech] in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning (AI & ML) at Nitra Technical Campus (NTC), Ghaziabad is a 4-year full-time undergraduate program affiliated to Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow and approved by AICTE. The program spans 8 semesters with a total seat intake of 30 seats, and the total course fee is approximately Rs. 3.62 Lakhs (excluding hostel). Admission is through JEE Main scores via UPTAC/AKTU counselling. This specialized program is designed to meet the rapidly growing demand for AI and ML professionals across industries like healthcare, fintech, e-commerce, robotics, and logistics.

Admissions for the 2026 batch are expected to open tentatively in May 2026, with UPTAC counselling registration likely commencing around May-July 2026 based on the 2025 schedule. Students who have appeared in JEE Main 2026 (Session 1: January 21-28, 2026 or Session 2: April 2-9, 2026) are eligible to participate in UPTAC 2026 counselling.

Key Points

  • The AI & ML specialization is a full 4-year track integrated throughout all 8 semesters, not just a few elective subjects.
  • Students gain proficiency in Python, R, TensorFlow, Keras, PyTorch, Scikit-learn, and cloud platforms like AWS and Azure ML.
  • The program covers deep learning, natural language processing, computer vision, data analytics, and intelligent systems design.
  • NTC has modern AI labs with GPU-powered computing, enabling hands-on training with real datasets and live industry projects.
  • With only 30 seats, this is a highly focused and specialized program with a small batch size ensuring personalized attention.
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NTC B.Tech CSE (AI & ML) Fees

The B.Tech CSE (AI & ML) program at NTC carries the same fee structure as other B.Tech programs. The total tuition fee for the 4-year program is Rs. 3,26,000 (Rs. 81,500 per year), with a one-time refundable caution deposit of Rs. 2,000 and one-time admission charges of Rs. 3,000. The total course fee (excluding hostel) comes to approximately Rs. 3,62,460 including AKTU exam fees. Hostel is optional and available on campus.

Fee Breakdown

Fee ComponentAmount
Tuition Fee (4 Years)Rs. 3,26,000
Caution Money (Refundable)Rs. 2,000
One-Time Charges (Uniform, Alumni, Student Welfare)Rs. 3,000
AKTU University/Exam Fee (Rs. 7,865 x 4 years)Rs. 31,460
Total Fees (Excluding Hostel)Rs. 3,62,460
Hostel Charges - Double Occupancy (Per Year, Optional)Rs. 78,500
  • Caution Money of Rs. 2,000 is fully refundable at the time of leaving the institution.
  • AKTU exam fee of Rs. 7,865 per year is subject to change as per university guidelines and is paid directly to AKTU.
  • Students paying the full yearly academic fee in advance are eligible for a free Book Bank facility.
  • Hostel charges are subject to annual revision.
  • Double occupancy: Rs. 78,500/year; Triple occupancy room rent: Rs. 24,000/year (other charges extra).
  • Hostel security deposit of Rs. 5,000 is refundable.
  • Fee is subject to revision by the Fee Fixation Committee of the U.P. Government.

NTC B.Tech CSE (AI & ML) Admission 2026

Admission to B.Tech CSE (AI & ML) at NTC is conducted through UPTAC (Uttar Pradesh Technical Admission Counselling) based on JEE Main scores. The 2025 counselling process ran from May to September 2025 across multiple rounds. For the 2026 batch, the counselling process is expected to follow a similar timeline, tentatively starting in May 2026. Candidates must register on the UPTAC portal, upload documents, fill choices, and report to the allotted institution after seat confirmation.

College Admission Dates

EventTentative Date
UPTAC 2026 Registration and Document UploadMay 2026 - July 2026
Online Choice Filling and LockingJuly 2026
Round 1 Seat AllotmentLate July 2026
Round 2 Seat AllotmentEarly August 2026
Round 3 Seat AllotmentMid August 2026
Round 4 Seat Allotment (Auto Freeze)Mid August 2026
Physical Reporting at Allotted InstitutionAugust 2026
Special Round 1 Registration and AllotmentLate August 2026
Special Round 2 Registration and AllotmentSeptember 2026

Entrance Exam Dates

EventSession 1Session 2
Application Start DateOctober 31, 2025February 1, 2026
Application End DateNovember 27, 2025February 25, 2026
Admit Card ReleaseJanuary 17, 2026March 25, 2026
Exam DateJanuary 21-28, 2026April 2-9, 2026
Answer Key ReleaseFebruary 4, 2026April 12, 2026
Result DeclarationFebruary 16, 2026April 20, 2026

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Candidates must have passed 10+2 or equivalent from a recognized board with Physics and Mathematics as compulsory subjects, along with Chemistry/Computer Science/Biology.
  • Minimum aggregate of 45% marks for General category candidates; 40% for SC/ST/OBC candidates.
  • A valid JEE Main score is mandatory for admission through UPTAC/AKTU counselling.

Admission Process

  • Appear in JEE Main (Session 1 or Session 2).
  • Register on the UPTAC portal (uptac.admissions.nic.in) and pay the counselling registration fee.
  • Upload required documents and complete document verification.
  • Fill and lock college/branch choices online.
  • Receive seat allotment based on JEE Main rank and choice preferences.
  • Pay seat confirmation fee (Rs. 20,000 for General; Rs. 12,000 for reserved categories) within the stipulated time.
  • Report physically to NTC with original documents for admission formalities.

NTC B.Tech CSE (AI & ML) Scholarships 2026

Students enrolled in the B.Tech CSE (AI & ML) program at NTC can avail of multiple scholarship options including government-funded and institution-level scholarships. The UP government scholarships are the most widely availed, covering a significant portion of fees for eligible students.

Scholarship Details

ScholarshipEligibilityAmount/Benefit
UP Government Scholarship (SC/ST/OBC/General-EWS)Students from UP domicile belonging to SC/ST/OBC/EWS categories with family income below prescribed limitAs per government norms (covers tuition and maintenance allowance)
AKTU Merit ScholarshipTop-ranking students in AKTU examinationsFee waiver/cash award as per AKTU norms
NTC Merit-Based ScholarshipAcademically outstanding studentsAs per institutional policy
NTC Corporate Sponsored ScholarshipStudents selected through industry partner programsVaries; often includes internship and placement support
Post-Matric Scholarship (UP Social Welfare Dept.)SC/ST students with family income below Rs. 2.5 Lakhs per annumCovers tuition fee and maintenance allowance
  • UP Government scholarships are applied through the official UP Scholarship portal (scholarship.up.gov.in).
  • Application deadlines for UP scholarships are typically announced in October-November each year.
  • AKTU scholarship details are notified through the official AKTU website (aktu.ac.in).

NTC B.Tech CSE (AI & ML) Placement 2024

NTC has a dedicated Training and Placement Cell that actively invites companies hiring for AI/ML, analytics, and data science roles. The AI & ML specialization gives graduates an edge during placement drives in both core and emerging tech companies. In 2024, the highest package offered was approximately Rs. 12 LPA, with an average package of around Rs. 4 LPA across all branches. Key recruiters include TCS, Capgemini, Infosys, IBM, Tech Mahindra, and other IT companies with AI/ML divisions.

Placement Statistics

Placement StatisticDetails
Highest Package (2024)Rs. 12 LPA
Average Package (2024)Rs. 4 LPA
Lowest PackageRs. 3 LPA
Top RecruitersTCS, Capgemini, Infosys, IBM, Tech Mahindra, NIIT, AJIO

NTC B.Tech CSE (AI & ML) FAQs

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

Ans. B.Tech CSE is a general computer science program covering all core areas of computing. B.Tech CSE (AI & ML) is a specialized program that includes all core CSE subjects plus an in-depth specialization track in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Data Analytics throughout all 4 years. The AI & ML specialization gives graduates a competitive edge in the rapidly growing AI job market.

Ques. Is the seat intake for B.Tech CSE (AI & ML) at NTC limited?

Ans. Yes, the B.Tech CSE (AI & ML) program at NTC has a limited intake of only 30 seats per batch. This small batch size ensures personalized attention, better lab access, and a more focused learning environment compared to larger programs.

Ques. What tools and technologies will I learn in B.Tech CSE (AI & ML) at NTC?

Ans. Students learn Python, R, Java, and SQL as programming languages. For AI/ML tools, the curriculum covers TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, and NumPy. Cloud platforms like Google Colab, Jupyter Notebook, GitHub, AWS, and Azure ML are also part of the training.

Ques. What are the career options after B.Tech CSE (AI & ML) from NTC?

Ans. Graduates can pursue roles such as Machine Learning Engineer, AI Developer, Data Scientist, Big Data Engineer, Business Intelligence Analyst, Computer Vision Engineer, Robotics Software Engineer, and Research Assistant in AI. They can also pursue M.Tech, MS, or Ph.D. in AI/ML at IITs, IIITs, or foreign universities.

Ques. What is the total fee for B.Tech CSE (AI & ML) at NTC?

Ans. The total fee for the 4-year B.Tech CSE (AI & ML) program is approximately Rs. 3.62 Lakhs (excluding hostel). This includes tuition fee of Rs. 3,26,000, refundable caution money of Rs. 2,000, one-time admission charges of Rs. 3,000, and AKTU exam fees of Rs. 31,460 (Rs. 7,865 per year). Hostel charges are additional if you opt for on-campus accommodation.

Ques. Does NTC have dedicated AI labs for B.Tech CSE (AI & ML) students?

Ans. Yes, NTC has modern AI labs with GPU-powered computing infrastructure. Students get hands-on training with real datasets, live industry projects, and model deployment exercises. The college also organizes hackathons, coding bootcamps, and AI workshops to supplement classroom learning.

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