Bachelor of Computer Application [BCA] {Hons.} (Artificial Intelligence and Machine Learning)

The Bachelor of Computer Application Honours in Artificial Intelligence and Machine Learning at IILM University, Greater Noida is a four-year undergraduate programme focused on intelligent systems. The total fee is INR 8,00,000 and admission is merit-based with CUET-UG or IILMEEE scores. Students learn machine learning, deep learning and data-driven applications, making the course popular among those targeting AI developer and data analyst roles.

📋 Admission Status: Applications closed. Class Commencement begins 01 July 2026.

Key Points

• Labs in machine learning and deep learning
• Projects on computer vision and language processing
• Python and data tools across the curriculum
• Capstone work building intelligent applications
• Mentor-guided model training on real datasets

IILM BCA AI and ML Fees 2026

Component	Amount (INR)
Tuition Fee (4 Years)	INR 8,00,000
Hostel Fee (Per Year)	INR 1,42,000
Total Fees (Hostel Charges Separate)	INR 8,00,000

• Tuition fee is payable in equal annual instalments.
• Hostel and mess charges are optional and billed separately.
• Merit scholarships can reduce the total tuition payable.
• A one-time admission and caution deposit applies at enrolment.

IILM BCA AI and ML Admission 2026

Event	Date
CUET-UG 2026 Registration Closes	February 26, 2026
CUET-UG 2026 Exam	May 11 to 31, 2026
Class Commencement	01 July 2026

• Selection considers academic merit, entrance score and a personal interview.
• Limited seats are filled on a rolling, first-come basis.
• Applying early improves both selection and scholarship prospects.
• Original documents are verified on campus before classes begin.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

• Passed 10+2 in any stream with minimum 50 percent aggregate.
• Mathematics or Computer Science at 10+2 level is preferred.
• Final selection includes a personal interview along with academic merit.

Admission Process

• Register on the IILM University admission portal and fill the form.
• Upload academic documents and pay the application fee online.
• Submit a valid CUET-UG or IILMEEE score where available.
• Appear for the personal interview or interaction round.
• Accept the merit-based offer letter and pay the admission fee.
• Complete document verification on campus before classes begin.

✓ Opt for this if

• Want an AI-focused computer applications degree
• Aiming for machine learning or data roles
• Prefer applied projects over heavy theory
• Comfortable with INR 8 Lakhs private fee

✗ Skip if

• Seeking a low-cost government computer course
• Want only traditional software development focus
• Need guaranteed placement before joining

IILM BCA AI and ML Scholarships 2026

Scholarship	Amount	Eligibility
IILM Merit Scholarship	Up to full tuition waiver	Based on 12th or entrance merit
Early Bird Scholarship	Fee concession	Early applicants in the cycle
Sports and Cultural Scholarship	Fee concession	Outstanding sports or cultural record
Education Loan Support	As per bank policy	All eligible candidates

• Merit scholarship slabs depend on board or entrance percentage.
• Early bird concession applies in the first admission window.
• Scholarships are reviewed each year against academic performance.
• Only one scholarship category applies per student each year.

IILM BCA AI and ML FAQs

Ques. What roles can BCA AI and ML graduates target?

Ans. Graduates can aim for junior machine learning engineer, data analyst, AI associate and software developer roles. The Honours project and applied labs help build a portfolio that recruiters value. Outcomes depend on individual skill and interview performance, and many students continue to a master’s degree to move into deeper AI research and engineering positions. Internships often help students secure their first roles.

Ques. What does the AI and ML curriculum include?

Ans. The programme covers programming, data structures and databases alongside machine learning, deep learning, neural networks, natural language processing and computer vision. Python and modern data tools feature throughout. Laboratory work and live projects let students train models and build intelligent applications, giving practical experience that complements the theory taught in classroom sessions. The curriculum follows current industry practice.

Ques. Is an entrance exam compulsory for this BCA?

Ans. No fixed entrance is mandatory. IILM admits students on merit and a personal interview, and a valid CUET-UG or IILMEEE score adds weight. Candidates need at least 50 percent in 10+2, with Mathematics or Computer Science preferred. Seats are filled on a rolling basis, so applying early helps both selection and scholarship eligibility. A strong entrance score can also support merit-based fee concessions.

Ques. What scholarships are available for this programme?

Ans. IILM offers merit scholarships of up to a full tuition waiver based on board or entrance percentage. Early bird concessions reward first-window applicants, and sports or cultural achievers receive extra relief. Education loan support is available too, helping families manage the INR 8,00,000 total fee across the four years of the Honours course. Scholarship slabs are reviewed each year against academic performance.

Ques. Does IILM provide hostel facilities for BCA students?

Ans. Yes. On-campus hostel rooms are offered at Greater Noida for an optional INR 1,42,000 per year, billed separately from tuition. Each room provides basic furniture, internet and security, and allotment depends on availability. Outstation students pursuing AI and ML should book hostel space early to ensure accommodation close to the campus and labs. Mess facilities are available to resident students.

Ques. Do students work on real AI projects during the course?

Ans. Yes. The four-year Honours format includes applied projects where students build and test machine learning models, work with real datasets and explore computer vision or language tasks. These projects, supported by campus labs and mentors, help students move from classroom theory to practical AI development that strengthens their profile for internships and placements. Capstone work lets students showcase complete applications and demonstrate end-to-end problem solving to recruiters during interviews and portfolio reviews.