Joy University Tirunelveli Bachelor of Technology [B.Tech] (Computer Science Engineering - Artificial Intelligence & IOT): Fees 2026, Course Duration, Dates, Eligibility

Tirunelveli, Tamil NaduPrivate UniversityEstd 1984
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Collegedunia Team

Content Curator | Updated on - Apr 27, 2026

Joy University, Tirunelveli, offers a 4-year full-time B.Tech in Computer Science Engineering with Artificial Intelligence specialisation under the NIAT (NxtWave Industry-ready Acceleration Training) Upskilling Programme, offered through the School of Computational Intelligence (SOCI). This programme combines the UGC-recognised B.Tech degree from Joy University with an industry-focused upskilling curriculum delivered by NIAT, covering Artificial Intelligence, Machine Learning, Data Science, and full-stack development. The annual tuition fee is Rs. 2,00,000, making the total tuition fee for the 4-year programme Rs. 8,00,000. The course is offered in full-time, on-campus mode and is popular among students seeking a tech-intensive education with strong placement support and industry-aligned skills training.

Admissions for the 2026-27 academic year are currently open. Students apply through the NIAT portal (apply.niatindia.com) and must appear for the NAT (NxtWave Aptitude Test), with Phase 1 scheduled on April 19, 2026. Admission to Joy University is also subject to JOYAT (Joy University Scholastic Aptitude Test) and the university's own eligibility criteria. Candidates with JEE Main score above 80 percentile are eligible for a direct offer from Joy University.

Key Points

  • This is a dual-track programme: students earn a UGC-recognised B.Tech degree from Joy University while simultaneously undergoing NIAT's industry upskilling curriculum in AI, ML, Data Science, and full-stack development.
  • The NIAT upskilling programme is offered at 25+ institutions across India; Joy University is the Tamil Nadu campus for this collaboration.
  • The curriculum is designed to make students industry-ready from Day 1, with structured hands-on projects, real-world problem solving, and tech labs equipped for AI and cloud computing.
  • Students with JEE Main score above 80 percentile are eligible for a direct admission offer from Joy University, bypassing the JOYAT requirement.
  • The programme is offered under the School of Computational Intelligence (SOCI), which has a dedicated faculty team with expertise in AI, data science, cybersecurity, and computer vision.
  • NIAT is an upskilling initiative by NxtWave and is not a degree-awarding body; the B.Tech degree is awarded solely by Joy University as per UGC and AICTE norms.

JU B.Tech CSE (AI) Fees

Fees

Fee ComponentAmount
Tuition Fee (Year 1)Rs. 2,00,000
Tuition Fee (Year 2)Rs. 2,00,000
Tuition Fee (Year 3)Rs. 2,00,000
Tuition Fee (Year 4)Rs. 2,00,000
Admission Fee (One-time)Rs. 10,000 (approx., part of one-time payment)
Caution Deposit (One-time, refundable)Rs. 7,500 (approx., part of one-time payment)
Total One-time ChargesRs. 17,500
Total Fees (Tuition + One-time)Rs. 8,17,500

Hostel Fees (Optional - not mandatory for the course)

Room TypeOccupancyFee per Annum
Non-Premium (attached washroom)4 studentsRs. 95,000
Non-Premium (attached washroom)3 studentsRs. 1,15,000
Non-Premium (attached washroom)2 studentsRs. 1,45,000
Premium AC (attached washroom)4 studentsRs. 1,25,000
Premium AC (attached washroom + additional facilities)3 studentsRs. 1,35,000
  • The caution deposit (approximately Rs. 7,500) is refundable at the time of course completion, subject to no dues.
  • Hostel accommodation is optional and subject to availability on a first-come, first-served basis.
  • The NIAT NAT registration fee of Rs. 1,200 is non-refundable and is paid separately to NIAT.
  • No EMI options are officially listed by Joy University; fee payment is done in instalments as per the university's schedule.

JU B.Tech CSE (AI) Admission 2026

Important Dates

Joy University B.Tech Admission Dates (2026-27)

EventDate
Admissions Open for 2026-27Open (as of April 2026)
NIAT NAT Phase 1 ExamApril 19, 2026
NIAT NAT Registration FeeRs. 1,200 (non-refundable)
NIAT Career Counselling (post-NAT)Rolling basis after NAT result
JOYAT Entrance Exam (2026 cycle)October 2026 (tentative, based on previous year)
JEE Main Direct Offer EligibilityScore above 80 percentile in JEE Main 2026
Phase 1 Fee Payment Deadline (Joy University)April 10, 2026 (for current cycle)
Pre-Admission OrientationJune 20, 2026 (tentative)
Academic Session CommencementJuly 2026 (tentative)

Relevant Entrance Exam Dates

ExamEventDate
JEE Main 2026 Session 1ExamJanuary 21-28, 2026
JEE Main 2026 Session 1ResultFebruary 16, 2026
JEE Main 2026 Session 2ExamApril 2-9, 2026
JEE Main 2026 Session 2ResultApril 20, 2026
NIAT NAT Phase 1Aptitude Test for NIAT Upskilling AdmissionApril 19, 2026
JOYAT (Joy University Scholastic Aptitude Test)Entrance Exam for B.Tech AdmissionsOctober 2026 (tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • HSE / CBSE / ICSE / CIE +2 with Maths, Physics, Chemistry and English as mandatory subjects with a minimum of 60% aggregate marks in PCM and a minimum of 50% in every subject.
  • A valid score in JOYAT (Joy University Scholastic Aptitude Test) is required; candidates scoring above 80 percentile in JEE Main are eligible for a direct offer from Joy University.
  • For the NIAT Upskilling track, candidates must have passed out in 2023, 2024, 2025, or 2026; students who passed out before 2023 are not eligible for the NIAT programme.

Admission Process

  • Register on the NIAT portal at apply.niatindia.com and pay the Rs. 1,200 NAT registration fee.
  • Appear for the NAT (NxtWave Aptitude Test), a 90-minute cognitive aptitude test.
  • Qualify NAT and attend a one-on-one career counselling session with NIAT.
  • Apply to Joy University through admissions.joyuniversity.edu.in and appear for JOYAT (or submit JEE Main scorecard if above 80 percentile for direct offer).
  • Complete fee payment and registration formalities at Joy University to confirm the seat.
  • Attend pre-admission orientation before the commencement of the academic session.

JU B.Tech CSE (AI) Scholarships 2026

Merit-Based Scholarships for UG Programmes (JOYAT-based)

JOYAT Score (%)Eligibility (X and XII throughout)Tuition Fee Waiver
90% and above80% and above25% throughout the course
80% and above75% and above20% throughout the course
70% and above70% and above15% throughout the course

Category-Based Scholarships for UG Programmes

CategoryEligibility (X and XII throughout)Tuition Fee Waiver
SC / ST60%10%
Differently Abled50%60%
Defence and Paramilitary60%10%
International Level Sports Player50%100%
National Level Sports Player50%75%
State Level Sports Player50%60%
District Level Sports Player50%25%
Domicile (Tamil Nadu students)60%5%

Alumni and Staff Scholarships

CategoryEligibilityTuition Fee Waiver
Joy/Rajas Group AlumniAll UG Programmes15%
Alumni's Spouse / Children / Siblings60% throughout (X, XII)15%
Employees of Rajas Group (Spouse/Children/Siblings)60% throughout (X, XII)15%

Foreign National Student Scholarships

EligibilityScholarship
More than 60% in 12th grade50% on tuition fee
More than 55% in 12th grade30% on tuition fee
  • Only one scholarship can be availed per student for the entire duration of the programme.
  • Scholarships are awarded on a first-come, first-served basis within each category.
  • Students must maintain a minimum GPA of 6.5 and have no backlogs in any semester for scholarship renewal.
  • Scholarship applications must be submitted after enrolment with original documents.
  • Renewal applications must be submitted on or before July 30 of every academic year.
  • The scholarship committee's decisions are final and binding.
  • Scholarships apply to Joy University tuition fees only and do not cover the NIAT programme fees or registration charges.

JU B.Tech CSE (AI) Placement 2026

Placement Prospects

RolesCompaniesPackage Range
AI/ML Engineer, Data Scientist, Full Stack Developer, Software EngineerIntel, IBM, Infosys, Wipro, Tech Mahindra, In Time TecRs. 5.50 LPA to Rs. 9 LPA

Table of Contents

Joy University Tirunelveli Latest Updates and News

29 Mar, 2026 Joy University Tirunelveli B.Tech Computer Science Engineering - Artificial Intelligence Fee Structure 2026 has been released. The total academic fee is ₹ 6.4 Lakhs.

JU B.Tech CSE (AI) FAQs

Ques. What exactly is the NIAT Upskilling Programme, and is the B.Tech degree from Joy University or from NIAT?

Ans. The B.Tech degree is awarded solely by Joy University, which is UGC-recognised. NIAT (NxtWave Industry-ready Acceleration Training) is an upskilling initiative by NxtWave and is not a degree-awarding body. Under this collaboration, students enrolled in the B.Tech CSE (Artificial Intelligence) programme at Joy University simultaneously undergo NIAT's industry-focused curriculum covering AI, ML, Data Science, and full-stack development. The degree certificate will be issued by Joy University as per UGC and AICTE norms, and NIAT provides an additional upskilling certification.

Ques. Is it mandatory to appear for both NAT and JOYAT to get admission into this programme?

Ans. For the NIAT Upskilling track specifically, students must first register and appear for the NAT (NxtWave Aptitude Test) through the NIAT portal. After qualifying NAT and attending career counselling, they are directed to apply to Joy University. At the university level, a valid JOYAT score is required for admission. However, candidates who have scored above 80 percentile in JEE Main are eligible for a direct offer from Joy University and may not need to appear for JOYAT separately. Both processes run in parallel and students should initiate both applications simultaneously.

Ques. What is the fee structure for this programme, and are there any hidden charges beyond the tuition fee?

Ans. The annual tuition fee for B.Tech CSE (Artificial Intelligence) under the NIAT Upskilling track at Joy University is Rs. 2,00,000, totalling Rs. 8,00,000 for the 4-year programme. In addition, a one-time charge of approximately Rs. 17,500 (admission fee + caution deposit) is payable at the time of joining. Separately, NIAT charges a non-refundable registration fee of Rs. 1,200 at the time of NAT application. Hostel fees, if opted, range from Rs. 95,000 to Rs. 1,45,000 per annum depending on room type and occupancy. There are no other hidden charges officially listed.

Ques. What are the career and placement prospects after completing this B.Tech programme?

Ans. Graduates of B.Tech CSE (Artificial Intelligence) from Joy University under the NIAT Upskilling track are trained for roles such as AI/ML Engineer, Data Scientist, Full Stack Developer, and Software Engineer. The NIAT programme specifically focuses on making students placement-ready with structured projects and industry mentorship. Joy University's placement records show packages ranging from Rs. 5.50 LPA to Rs. 9 LPA, with companies like Intel, IBM, Infosys, Wipro, Tech Mahindra, and In Time Tec recruiting from the campus. The NIAT collaboration further expands placement opportunities through NxtWave's industry network.

Ques. Can students who passed out before 2023 apply for the NIAT Upskilling track at Joy University?

Ans. No. The NIAT Upskilling Programme has a specific eligibility restriction: only students who passed out in 2023, 2024, 2025, or 2026 are eligible to apply. Students who completed their 12th grade before 2023 are not eligible for the NIAT track. However, such students may still apply for the regular B.Tech CSE (Artificial Intelligence) programme at Joy University (not under NIAT), which has a different fee structure (Rs. 1,60,000 per year) and does not have this pass-out year restriction.

Ques. How does the NIAT curriculum differ from the regular B.Tech curriculum at Joy University, and will students have to manage both simultaneously?

Ans. Yes, students enrolled in the NIAT Upskilling track manage both the Joy University B.Tech curriculum and the NIAT upskilling modules simultaneously. The NIAT curriculum is designed to complement the university's academic programme and focuses on practical, industry-relevant skills such as coding, AI/ML projects, data science tools, and full-stack development. The NIAT modules are structured to be completed alongside regular coursework without conflicting with the university's academic schedule. Smart classrooms, tech labs, and NIAT's online learning platform support this dual-track learning model on campus.

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