Mar Baselios Institute of Technology and Science Ernakulam B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Ernakulam, KeralaEstd 2009NAAC Grade B++
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Collegedunia Team

Content Curator | Updated on - Apr 27, 2026

Mar Baselios Institute of Technology and Science (MBITS) in Ernakulam, Kerala, offers a prestigious 4-year full-time Bachelor of Technology program in Computer Science and Engineering with specialization in Artificial Intelligence & Machine Learning. This comprehensive program is designed to equip students with cutting-edge knowledge and practical skills in one of the most sought-after domains of technology.

Program Overview:

  • Duration: 4 years (Full-time)
  • Intake Capacity: 60 seats
  • Admission Mode: KEAM (Kerala Engineering Architecture Medical) Entrance Examination
  • Total Program Cost: ₹6,48,000
    • Tuition Fees: ₹3,60,000
    • Hostel Fees: ₹2,88,000

Why This Program is Popular:

The AI & ML specialization has emerged as one of the most in-demand fields in the technology industry. MBITS's program combines theoretical excellence with practical industry exposure, making graduates highly competitive in the job market. The institute's strong placement record, industry partnerships, and focus on real-world projects make this program an excellent choice for aspiring engineers.

MBITS B.Tech CSE (AI & ML) Admission Status

Current Admission Timeline (2026 Batch):

  • KEAM Application Deadline: February 6, 2026
  • KEAM Examination: April 13-25, 2026
  • Results Declaration: May 10, 2026
  • Counselling Process: May 25 - June 10, 2026
  • Batch Start Date: June 2026

The admission process follows the standard Kerala engineering admission procedure through KEAM. Eligible candidates must appear for the KEAM entrance examination and secure a rank within the cutoff to be eligible for counselling.

Key Points

  • Cutting-Edge Curriculum: The program curriculum is regularly updated to align with industry standards and emerging technologies in AI and Machine Learning, ensuring students learn the latest tools and frameworks.
  • Advanced Laboratory Facilities: State-of-the-art labs equipped with high-performance computing systems, GPU clusters, and specialized software for AI/ML development and research.
  • Industry Partnerships: Collaborations with leading tech companies including TCS, Infosys, Wipro, and emerging AI startups provide internship opportunities and real-world project exposure.
  • Comprehensive Placement Training: Dedicated placement cell conducts regular training sessions on technical skills, aptitude, and soft skills to prepare students for campus recruitment.
  • NBA Accreditation: The program is accredited by the National Board of Accreditation (NBA), ensuring quality education and international recognition of the degree.
  • Dedicated Placement Cell: A proactive placement cell maintains strong relationships with recruiters and ensures maximum placement opportunities for graduating students.
  • Real-World Projects: Students work on industry-relevant projects throughout the program, gaining practical experience in developing AI/ML solutions for real business problems.

MBITS B.Tech CSE (AI & ML) Fees

Fees Structure

Fee ComponentAmount (₹)
Tuition Fees (4 years)₹3,60,000
Hostel Fees (4 years)₹2,88,000
Total Program Cost₹6,48,000
  • Tuition fees include all academic expenses, laboratory access, and course materials.
  • Hostel fees are applicable for students opting for on-campus accommodation.
  • A portion of the fees may be refundable as per the institute's refund policy.
  • Additional charges may apply for special events, seminars, or optional certifications.
  • Scholarships and financial aid may be available to eligible students.

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

Important Dates for 2026 Admission

EventDate
KEAM Application Submission DeadlineFebruary 6, 2026
KEAM Examination Start DateApril 13, 2026
KEAM Examination End DateApril 25, 2026
KEAM Results DeclarationMay 10, 2026
Counselling Start DateMay 25, 2026
Counselling End DateJune 10, 2026
Batch CommencementJune 2026

KEAM Exam Details

AspectDetails
Exam NameKerala Engineering Architecture Medical (KEAM)
Exam Duration2.5 hours per paper
Number of Papers2 (Physics & Chemistry, Mathematics)
Total Marks480 marks
Question TypeMultiple Choice Questions (MCQ)
Negative MarkingYes, 1 mark deduction for wrong answers
Eligibility12th pass with Physics, Chemistry, and Mathematics

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Candidates must have passed 12th standard (or equivalent) with Physics, Chemistry, and Mathematics as mandatory subjects
  • Minimum aggregate score requirement as per KEAM guidelines
  • Valid KEAM rank within the cutoff for the program
  • Age limit: No upper age limit; minimum age should be 17 years as on July 1 of the admission year

Admission Process

  1. Application: Register and apply for KEAM examination through the official portal
  2. Entrance Exam: Appear for KEAM examination in April 2026
  3. Results: Check KEAM results on May 10, 2026
  4. Counselling: Participate in the counselling process (May 25 - June 10, 2026) to secure admission
  5. Document Verification: Submit required documents for verification
  6. Admission Confirmation: Complete admission formalities and secure your seat

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

Scholarship Details

Scholarship NameEligibilityBenefits
ASAP (Advancement Scholarship for Academic Performance)Merit-based; top performers in academicsPartial to full tuition fee waiver
Merit Cum-Means ScholarshipMerit + financial needUp to 50% fee reduction
Central Sector ScholarshipSC/ST/OBC candidates; merit-basedFull tuition fee coverage
CH Muhammed Koya ScholarshipEconomically weaker sections; merit-basedTuition + hostel fee support

Scholarship Application Process:

  • Applications are invited during the admission process
  • Merit is determined based on KEAM rank and 12th standard performance
  • Financial need assessment is conducted for need-based scholarships
  • Selected candidates are notified before the start of the academic year

MBITS B.Tech CSE (AI & ML) Placement 2026

Placement Statistics

StatisticDetails
Highest Package₹44 lakhs per annum
Average Package₹3.5 lakhs per annum
Placement Rate80% of graduating students secured placements
Recruiting CompaniesTCS, Infosys, Wipro, HCL, Cognizant, IBM, Accenture, Amazon, Google, Microsoft, and various AI/ML startups

Placement Highlights:

  • Strong industry connections ensure consistent recruitment drives
  • Dedicated placement cell provides interview preparation and career guidance
  • Students receive training in technical skills, communication, and aptitude
  • Internship opportunities during the program enhance employability
  • Alumni network provides mentorship and career advancement opportunities
23 Views Last Year
11 Studentsshown interest in the last 30 days

Table of Contents

MBITS B.Tech CSE (AI & ML) FAQs

Ques. What is the difference between AI/ML specialization and Data Science?

Ans. While both fields are related, they have distinct focuses. AI & Machine Learning specialization emphasizes building intelligent systems, algorithms, neural networks, and autonomous solutions. Data Science, on the other hand, focuses more on data analysis, statistical modeling, and deriving insights from data. The AI/ML program at MBITS provides deeper knowledge in machine learning algorithms, deep learning, computer vision, and natural language processing, making graduates well-suited for roles in AI development, research, and advanced ML engineering.

Ques. Is the program offered only in full-time mode?

Ans. Yes, the Bachelor of Technology in Computer Science and Engineering (AI & ML) is offered exclusively as a full-time 4-year program. This ensures students have dedicated time for coursework, laboratory work, projects, and internships without any conflicting commitments. The full-time format allows for comprehensive learning and maximum industry exposure.

Ques. What are the career prospects after completing this program?

Ans. Graduates of this program have excellent career prospects in various sectors including IT companies, AI startups, research organizations, financial institutions, healthcare, autonomous vehicles, robotics, and e-commerce companies. Job roles include Machine Learning Engineer, AI Developer, Data Scientist, Research Scientist, AI Consultant, Computer Vision Engineer, and NLP Specialist. The average package of ₹3.5 lakhs with a highest package of ₹44 lakhs demonstrates strong market demand for our graduates.

Ques. How competitive is the admission process for this program?

Ans. The AI & ML specialization is highly competitive due to its popularity and strong placement record. With only 60 seats available and high demand, candidates need a good KEAM rank to secure admission. The cutoff rank varies each year based on the number of applicants and their performance. Typically, candidates in the top 500-1000 ranks in KEAM have better chances of securing admission to this program.

Ques. What are the hostel facilities available for students?

Ans. MBITS provides well-maintained hostel facilities with modern amenities including spacious rooms, high-speed internet connectivity, 24/7 security, mess facilities with nutritious food, recreational areas, and sports facilities. The hostel fee of ₹2,88,000 for the 4-year program covers accommodation and basic amenities. Separate hostels are available for male and female students with appropriate supervision and support services.

Ques. How does the program develop practical skills in AI and Machine Learning?

Ans. The program emphasizes hands-on learning through multiple channels: (1) Advanced laboratory sessions with real datasets and industry-standard tools; (2) Semester-long projects where students develop complete AI/ML solutions; (3) Internship opportunities with leading companies; (4) Industry expert lectures and workshops; (5) Participation in hackathons and coding competitions; (6) Capstone project in the final year where students work on real-world problems. This comprehensive approach ensures graduates are job-ready with practical expertise in developing, deploying, and maintaining AI/ML systems.

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