St Aloysius (Deemed To Be University) Mangalore B.Tech Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Mangalore, KarnatakaDeemed UniversityEstd 1880 Mangalore University, Mangalore NAAC Grade A++ 3.6
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Collegedunia Team

Content Curator | Updated 3+ months ago

The B.Tech in Computer Science and Engineering (AI & ML) is a 4-year full-time undergraduate engineering programme offered by St Aloysius (Deemed To Be University), Mangalore, under its School of Engineering. The programme is conducted on the main campus at Lighthouse Hill Road, Mangalore, and is designed to provide in-depth knowledge of both fundamental and advanced Computer Science concepts with a specialisation in Artificial Intelligence and Machine Learning. The curriculum covers key areas including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, Game Theory, and Cognitive Robotics. The annual tuition fee is Rs. 2,07,000 (Karnataka students), making the total 4-year tuition fee Rs. 8,28,000, with an additional examination fee of Rs. 6,000 per year charged separately. The programme has an intake of 60 seats and is popular among students aspiring for careers in AI, ML, data science, and emerging technology sectors.

Admissions for the academic year 2026-27 are currently open. Admission to B.Tech programmes at St Aloysius University is exclusively through SADET 2026 (St Aloysius Deemed to be University Engineering Test) - KCET and other CET scores are NOT accepted. The SADET is conducted in February based on the Karnataka State Board syllabus in Physics, Chemistry, and Mathematics. As of April 2026, the SADET has been conducted and the admission process (interviews and seat confirmation) is ongoing. Classes are expected to commence in the second week of July 2026.

KEY POINTS

  • Dedicated AI & ML Specialisation: The programme offers focused elective courses in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, Cognitive Robotics, and Autonomous Drones - going well beyond what a general CSE programme covers.
  • State-of-the-Art AI Lab: The department has a dedicated Artificial Intelligence Lab equipped with Intel i9-9900K processors, NVIDIA Quadro RTX 5000 GPUs, 32 GB RAM, and tools including OpenCV, Python, MongoDB, Cassandra, and Neo4j.
  • SADET-Based Admission: Unlike most engineering colleges in Karnataka, St Aloysius University does NOT accept KCET scores. Admission is solely through its own entrance test, SADET, conducted in February.
  • Small Batch Size: With only 60 seats per programme, students benefit from personalised attention from faculty and a focused learning environment.
  • Research-Active Faculty: The School of Engineering has over 40 faculty members actively engaged in research in domains like Deep Learning, AI, Cloud Computing, Natural Language Processing, and Image Processing.

St Aloysius B.Tech AI & ML Fees

Component-wise Fee Structure (2026-27)

Fee Structure

Fee ComponentPer Year (Rs.)Total - 4 Years (Rs.)
Tuition Fee2,07,0008,28,000
Examination Fee6,00024,000
Total Fees2,13,0008,52,000

Hostel Fees (Optional - Not Mandatory)

Hostel ComponentPer Year (Rs.)
Food and Accommodation (Boys/Girls Hostel)75,000
Total Hostel Fee (4 Years)3,00,000
  • The above tuition fees are applicable for Karnataka domicile students.
  • Non-Karnataka students pay Rs. 2,17,000 per year (tuition), totalling Rs. 8,68,000 for 4 years.
  • The examination fee of Rs. 6,000 per year is charged separately and is not included in the annual tuition fee.
  • Hostel fee of Rs. 75,000 per year covers food, accommodation, water, electricity, room rent, and maintenance.
  • Hostel is optional and not mandatory.
  • The application fee for B.Tech is non-refundable once the application number is generated.
  • Fee payment is to be made at the time of admission confirmation.
  • Payment can be made digitally or at the office counter.
  • Education loans up to Rs. 10 lakhs are available under the PM-Vidyalaxmi scheme.
  • Students with family income up to Rs. 8 lakhs/year are eligible for 3% interest subvention.

St Aloysius B.Tech AI & ML Admission 2026

College-Specific Admission Dates (2026-27)

EventDate / Details
B.Tech Admissions OpenNovember 2025
SADET 2026 (Entrance Exam)February 2026 (conducted by St Aloysius University)
Interview ProcessAfter SADET; date communicated via WhatsApp/email
Fee Payment (Seat Confirmation)On the day of interview
Academic Year CommencementSecond week of July 2026 (Tentative)
Application Portalbtech-admissions.staloysius.edu.in

Entrance Exam Details

ExamConducted ByRelevanceDetails
SADET 2026 (St Aloysius Deemed to be University Engineering Test)St Aloysius (Deemed To Be University)Mandatory - only entrance exam acceptedBased on Karnataka State Board syllabus in Physics, Chemistry, and Mathematics; conducted in February

Important Note: KCET scores are NOT accepted for B.Tech admissions at St Aloysius University. Admission is exclusively through SADET 2026. Students who have appeared for KCET must separately apply and appear for SADET to be considered for admission here.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria:

  • Candidates must have passed 2nd PUC / 12th Std / equivalent examination with English as one of the languages.
  • Must have obtained a minimum of 45% marks in aggregate in Physics and Mathematics along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science.
  • Relaxation: 40% for SC/ST candidates; 45% for Category 1, 2A, 2B, 3A, and 3B candidates.

Admission Process:

  • Register and apply online at btech-admissions.staloysius.edu.in.
  • Upload required documents (SSLC marksheet, II PUC/12th marksheet, Aadhaar card, passport-size photograph).
  • Appear for SADET 2026 (conducted in February; based on Physics, Chemistry, and Mathematics).
  • Shortlisted candidates are called for an in-person interview with the admission committee.
  • Successful candidates must pay the programme fee on the day of the interview to confirm the seat.
  • Final admission is confirmed after verification of original documents post II PUC/12th results.

St Aloysius B.Tech AI & ML Scholarships 2026

Scholarship Details

ScholarshipTypeEligibilityAmount / Benefit
Vidwath SpoorthiManagement ScholarshipStudents scoring 90% and above in PUC/12th (for BCA & B.Sc. streams; specific % for B.Tech to be confirmed)Fee concession (amount announced after classes begin)
Vidya SpoorthiManagement Scholarship (Need-cum-Merit)Minimum 60% and above in previous examination; financial needFee concession
Kreeda SpoorthiManagement ScholarshipState and National level sports participants/winnersFee concession
SAFAL (St Aloysius Fellowship for Aspiring Learners)Endowment ScholarshipNeedy students, children of police personnel, and other eligible categoriesFee concession
Backward Class Post Matric ScholarshipGovernment ScholarshipCategory I: Income up to Rs. 2,50,000/year; Category IIA, IIIA, IIIB: Income up to Rs. 1,00,000/yearAs per government norms
SC/ST Post Matric ScholarshipGovernment ScholarshipKarnataka domicile; annual family income up to Rs. 2,50,000As per government norms
VidyasiriGovernment ScholarshipAnnual income below Rs. 2,00,000As per government norms
Central Sector Scheme of ScholarshipsGovernment Scholarship80% and above in PUC; family income up to Rs. 4,50,000/yearAs per government norms
PM-Vidyalaxmi Education Loan SchemeCentral Government SchemeAll students; 3% interest subvention for family income up to Rs. 8 lakhs/yearCollateral-free loan up to Rs. 10 lakhs; 3% interest subvention
Post Matric Scholarship for Students with DisabilitiesGovernment ScholarshipPhysically handicapped studentsAs per government norms
  • Management scholarships are awarded based on academic merit and financial status.
  • Detailed eligibility criteria and application procedures will be announced after classes begin.
  • Government scholarships must be applied for online through the SSP Portal (ssp.postmatric.karnataka.gov.in) or NSP Portal (scholarships.gov.in).
  • Scholarship benefits can be withdrawn if the student fails to maintain regular attendance, good conduct, and satisfactory academic progress.
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Table of Contents

St Aloysius B.Tech AI & ML FAQs

Ques. Why does St Aloysius University not accept KCET scores for B.Tech admissions? What is SADET and how is it different?

Ans. St Aloysius (Deemed to be University) conducts its own entrance examination called SADET (St Aloysius Deemed to be University Engineering Test) for B.Tech admissions, and KCET scores are not accepted. This is because as a Deemed University, St Aloysius has the autonomy to set its own admission criteria. SADET is based on the Karnataka State Board syllabus in Physics, Chemistry, and Mathematics and is conducted in February. Students who have appeared for KCET must separately register and appear for SADET to be eligible for admission to B.Tech programmes at St Aloysius University. The SADET is followed by a personal interview, and final selection is based on both.

Ques. What makes the B.Tech CSE (AI & ML) at St Aloysius different from a regular B.Tech CSE programme?

Ans. The B.Tech CSE (AI & ML) at St Aloysius is specifically designed with a deep focus on Artificial Intelligence and Machine Learning technologies. While a regular CSE programme covers general computing subjects, this specialisation integrates dedicated elective courses in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, Cognitive Robotics, and Autonomous Drones. The department also has a dedicated AI Lab with NVIDIA Quadro RTX 5000 GPUs and tools like OpenCV and Python, enabling hands-on training in real AI/ML workflows. This makes graduates significantly more competitive for roles in AI research, data science, and emerging technology companies.

Ques. With only 60 seats, how competitive is admission to B.Tech CSE (AI & ML) at St Aloysius? What score is typically needed in SADET?

Ans. With just 60 seats available, the programme is moderately competitive. Since SADET is based on Physics, Chemistry, and Mathematics from the Karnataka State Board syllabus, students who have a strong foundation in these subjects and have scored well in their II PUC exams are well-positioned. The university also considers the personal interview performance and previous academic record. There is no publicly declared minimum SADET cutoff, but students with 70% and above in PCM at the PUC level and good communication skills generally have a strong chance of securing admission.

Ques. What are the career prospects after completing B.Tech CSE (AI & ML) from St Aloysius University, Mangalore?

Ans. Graduates of B.Tech CSE (AI & ML) are well-positioned for careers in AI engineering, machine learning engineering, data science, computer vision, natural language processing, and robotics. Industries actively hiring AI/ML graduates include healthcare diagnostics, fintech, manufacturing automation, autonomous vehicles, and technology companies. Graduates can also pursue higher studies (M.Tech, MS, or MBA) at reputed institutions in India and abroad. The School of Engineering at St Aloysius has over 40 research-active faculty members, which also opens doors for research internships and collaborative projects during the programme.

Ques. Is the B.Tech CSE (AI & ML) programme at St Aloysius approved by AICTE? What is the recognition status of the degree?

Ans. St Aloysius (Deemed to be University) received its Deemed University status in 2024, and its B.Tech programmes are offered under this status. The university is recognised by the UGC (University Grants Commission). AICTE does not differentiate between B.E. and B.Tech degrees - both are considered equivalent and carry equal recognition for employment and higher education purposes. Students should verify the current AICTE approval status of the specific B.Tech programme directly with the university's admissions office before enrolling, as the engineering school is relatively new.

Ques. What laboratory and infrastructure facilities are available for B.Tech CSE (AI & ML) students at St Aloysius?

Ans. The department has well-equipped laboratories specifically designed for AI and ML coursework. The dedicated Artificial Intelligence Lab features Intel i9-9900K processors, NVIDIA Quadro RTX 5000 GPUs, 32 GB RAM, and software tools including OpenCV, Python, MongoDB, Cassandra, and Neo4j. Other labs include a Computer Programming Lab, Software Systems Lab, Intel Multicore Lab, Cloud Computing Lab, and Database Systems Lab - all equipped with modern hardware and software. The campus also has a well-stocked library, canteen, banking facility with ATM, and on-campus hostel facilities for both boys and girls.

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