AMCEC Artificial Intelligence and Machine Learning Cutoff 2025, Fees & Placements

Historical Cutoff Trends & Closing Rank Trajectory for Artificial Intelligence and Machine Learning

Selecting Artificial Intelligence and Machine Learning at AMC Engineering College (AMCEC) requires a nuanced understanding of entrance rank dynamics across Karnataka state and all-India entrance channels. The following comparative table documents opening and closing ranks recorded across the 2023, 2024, and 2025 admissions cycles.

In the 2025 state counseling process (KCET), General Merit candidates encountered a final closing rank of N/A, following a Round 1 opening rank of 33,463. For all-India candidates qualifying through COMEDK UGET, the closing threshold settled at 109,229. Aspirants aiming for this program in upcoming counseling rounds should target rank bands within or slightly ahead of these closing benchmarks during initial option entry.

Tuition Structure & Quota Commitments for Artificial Intelligence and Machine Learning

Financial planning for B.E. Artificial Intelligence and Machine Learning involves three statutory entry tiers established under institutional and state norms:

• Karnataka Government Quota (KCET): Students allotted seats through KEA merit counseling remit regulated annual tuition of KCET: ₹1.13L, totaling approximately ₹4.5 Lakhs across the complete 4-year undergraduate degree.
• All-India Consortium Quota (COMEDK): Non-Karnataka and all-India entrants pay standard annual tuition of COMEDK: ₹1.25L–₹2.00L (COMEDK: ₹2.00L/yr), payable in four equal installments prior to the commencement of each academic year.
• Institutional Management Quota: For self-financed admissions, the four-year composite package is fixed at Available on Inquiry. The installment schedule includes: Year 1: ₹0.0L, Year 2: ₹0.0L, Year 3: ₹0.0L, Year 4: ₹0.0L, along with a nominal one-time registration charge of ₹0.0L.

Official Demand Drafts for tuition fees must be issued payable strictly to: Tuition DD: 'AMC Engineering College' (or 'Paramahamsa Foundation Trust'), Payable at Bengaluru payable at Bengaluru.

Placement Records, Salary Distributions & Recruiter Engagement

Graduates from AMCEC's Department of Artificial Intelligence and Machine Learning benefit from an established corporate placement ecosystem. The latest academic cohort recorded an overall placement conversion of Active Campus Placements.

Key departmental compensation metrics include:

• Department All-Time Highest Offer: ₹30.0 LPA
• Latest Peak Offer (2025/26 Cycle): ₹24.0 LPA
• Department Average Compensation: ₹5.96 LPA
• Baseline Compensation: ₹4.5 LPA

Recruitment drives feature leading software enterprises, electronic systems designers, core engineering conglomerates, and multinational consulting firms. Undergraduate students undergo structured pre-placement orientation including coding bootcamps, technical aptitude coaching, and mock interview panels.

Return on Investment (ROI) & Payback Horizon for Artificial Intelligence and Machine Learning

Evaluating the economic yield of completing Artificial Intelligence and Machine Learning at AMC Engineering College shows distinct financial payback horizons based on admission quota:

For state quota KCET scholars investing approx ₹4.5 Lakhs across four years, an average starting salary of ₹5.96 LPA achieves full tuition recovery within 7 to 9 months of active employment, representing one of the highest educational ROI multiples in Karnataka technical education.

For COMEDK entrants investing between ₹10 Lakhs and ₹13.2 Lakhs, the payback horizon averages 1.6 to 2.1 years. Direct entrants should benchmark package distributions against their total fee outlay.