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St. Francis Institute of Technology (SFIT) offers a comprehensive 4-year Bachelor of Engineering program in Artificial Intelligence and Machine Learning, designed to provide students with advanced knowledge in AI, machine learning, deep learning, and data science. With an annual intake of 60 seats, the course is offered in full-time on-campus mode. The program is designed to equip students with strong fundamentals in algorithms, neural networks, natural language processing, and computer vision. SFIT is NAAC A+ accredited and affiliated to the University of Mumbai, making it a preferred choice for engineering aspirants interested in artificial intelligence and machine learning.

Admissions for the 2026-27 academic year are ongoing through the MHT CET (Maharashtra Common Entrance Test) examination. The MHT CET registration is currently open until February 24, 2026, with the exam scheduled for April 11-19, 2026 (PCM stream). Admit cards will be available by April 10, 2026, and results are expected by June 16, 2026. Following the exam, counselling and seat allotment will take place as per the University of Mumbai schedule. Students must complete document verification and fee payment after receiving their allotment letter to confirm their admission.

Key Points

Specialized curriculum covering machine learning, deep learning, and artificial intelligence
Hands-on laboratory experience with AI/ML frameworks and tools like TensorFlow, PyTorch, and scikit-learn
Electives in advanced topics including computer vision, natural language processing, and reinforcement learning
Strong faculty with research publications in AI and machine learning
Access to high-performance computing laboratories and GPU facilities
Industry collaborations with AI/ML companies providing internship opportunities
Active placement cell with visits from leading AI/ML and tech companies
Emphasis on both theoretical knowledge and practical project-based learning

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SFIT Latest Updates and News

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25 Aug, 2026 SFIT MHT CET Round 3 Cutoff 2026 for BE/BTech is 88.38-96.18 (GOPENS Category). Check round-wise SFIT MHT CET Cutoff 2026.

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BTech/Integrated MTech (MHT CET)3

SFIT BE AI/ML Fees

The total fees for the 4-year BE Artificial Intelligence and Machine Learning program at SFIT is structured to be affordable for students from all economic backgrounds. The annual tuition fee is approximately 148,346 rupees with a development fee of 17,802 rupees per year. The total fees for the entire 4-year course comes to approximately 6.12 lakhs, making it one of the most reasonably priced engineering programs in Mumbai. The fee structure includes tuition, development charges, and other mandatory institutional fees.

Fee Structure

Fee Component	Amount (Annual)	Total (4 Years)
Tuition Fee	148,346	593,384
Development Fee	17,802	71,208
Total Annual Fee	166,148	664,592

The above fees are for the 2026-27 academic year as per the approved fee structure.
Fees are subject to revision as per the Fees Regulating Authority, Mumbai.
Payment can be made through demand draft, pay order, or online transfer (NEFT/IMPS) to the college's ICICI Bank account.
Refundable deposits and other charges, if any, are collected separately.
EMI options may be available for eligible students; interested candidates should contact the college directly for details.

SFIT BE AI/ML Admission 2026

SFIT follows a merit-based admission process for BE programs through the MHT CET examination conducted by the State of Maharashtra. The admission process is transparent and conducted in accordance with University of Mumbai guidelines. Students are selected based on their MHT CET scores, category-wise reservations, and merit ranking. The college conducts counselling sessions to guide students through the admission process and help them make informed decisions.

Important Dates

Event	Date
MHT CET Registration Start	January 10, 2026
MHT CET Registration End	February 24, 2026
MHT CET Admit Card Release	April 10, 2026
MHT CET Exam (PCM Stream)	April 11-19, 2026
MHT CET Result Declaration	June 16, 2026 (Tentative)
Online Registration and Document Upload	June 28 - July 14, 2026 (Tentative)
Document Verification	June 30 - July 15, 2026 (Tentative)
Final Merit List Display	July 24, 2026 (Tentative)
Option Form Submission (CAP Round-I)	July 26-28, 2026 (Tentative)
Reporting to Institute (CAP Round-I)	August 1-4, 2026 (Tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

Candidates must have passed 12th standard (HSC) or equivalent examination from a recognized board
Must have studied Physics, Chemistry, and Mathematics as compulsory subjects in 12th standard
Minimum aggregate marks as per the MHT CET qualifying criteria set by the State of Maharashtra
Indian nationals and NRI candidates are eligible to apply

Admission Process

Register for MHT CET on the official CET Cell Maharashtra website
Appear for the MHT CET examination in the PCM stream
Check the merit list and participate in online counselling
Select SFIT as one of your preferred colleges during counselling
Receive seat allotment letter from the University of Mumbai
Complete online registration and document upload on the University portal
Attend document verification at the college with original certificates and mark sheets
Pay the prescribed fees through the specified payment methods
Obtain the college entrance form and submit it with required documents
Attend the orientation program and commence classes

SFIT BE AI/ML Scholarships 2026

SFIT offers various scholarships and financial assistance programs to deserving students based on merit, category, and financial need. Government scholarships are available for SC/ST/OBC/EBC students as per state government schemes. The college also provides fee waivers under the Tuition Waiver Scheme (TFWS) for economically weaker sections. Additionally, students can avail of scholarships from external organizations and NGOs. The college maintains a dedicated scholarship cell to assist students in identifying and applying for available opportunities.

Scholarship Details

Scholarship Type	Eligibility	Amount	Application Deadline
Government SC/ST Scholarship	SC/ST Category Students	As per state norms	As per government schedule
OBC/EBC Scholarship	OBC/EBC Category Students	As per state norms	As per government schedule
Tuition Waiver Scheme (TFWS)	Economically Weaker Sections	Full/Partial Fee Waiver	During admission
Merit-Based Scholarships	High academic performance	Varies	As announced by college
External Scholarships	Various criteria	Varies	As per respective organizations

Scholarship amounts and eligibility criteria are subject to change as per government policies and college regulations.
Students must submit required documents including caste certificates, income certificates, and academic records for scholarship processing.
Application deadlines vary for different schemes; students are advised to check with the college's scholarship cell for current information.

SFIT BE AI/ML Placement 2026

SFIT has a strong track record of placements for BE Artificial Intelligence and Machine Learning graduates. The placement cell is highly active and maintains relationships with leading AI/ML companies, tech firms, and consulting organizations. Graduates typically pursue careers in machine learning engineering, data science, AI research, and software development. Top recruiters include companies across IT, AI/ML, and consulting sectors. Students become eligible for campus placements from the 7th semester onwards.

Placement Statistics

Placement Metric	Details
Average Package	6-8 LPA
Highest Package	20+ LPA
Placement Rate	80%+
Career Sectors	AI/ML Engineering, Data Science, Software Development, Research

Placement statistics are based on verified data from the college's official placement records.
The college also facilitates internship opportunities during the course to provide practical industry exposure.
Off-campus placements are also encouraged for students seeking opportunities beyond the college's recruitment drive.

SFIT BE AI/ML FAQs

Ques. What is the scope of AI and Machine Learning after graduation?

Ans. Graduates have excellent career prospects in AI/ML engineering, data science, research, and software development. The demand for AI/ML professionals is very high in the industry. Graduates can work in companies like Google, Microsoft, Amazon, and various startups focusing on AI/ML solutions.

Ques. What programming languages and tools are taught in the program?

Ans. The curriculum covers Python, R, and Java programming. Students learn popular ML frameworks like TensorFlow, PyTorch, scikit-learn, and Keras. The program also includes training in data visualization tools, cloud platforms, and big data technologies.

Ques. Are there opportunities to work on real-world AI/ML projects?

Ans. Yes, the program emphasizes project-based learning. Students work on real-world AI/ML projects involving computer vision, natural language processing, and predictive analytics. The college facilitates industry collaborations for such projects.

Ques. What is the difference between AI/ML specialization and Computer Engineering?

Ans. AI/ML specialization focuses specifically on machine learning algorithms, neural networks, and AI applications, while Computer Engineering covers broader computer systems and software development. AI/ML graduates are specialized for data science and AI roles.

Ques. Are internships mandatory during the program?

Ans. While internships are not strictly mandatory, they are highly encouraged as part of the curriculum. The college facilitates internship opportunities during summer breaks and semester breaks. Many students undertake internships in their 3rd and 4th years to gain practical industry experience.

Ques. What are the career prospects and salary expectations for AI/ML graduates from SFIT?

Ans. AI/ML graduates have excellent career prospects with average packages ranging from 6-8 LPA, with some graduates receiving packages above 20 LPA. The demand for AI/ML professionals is very high, and graduates can work in various sectors including IT, finance, healthcare, and e-commerce.

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SFIT BE Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

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