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Top/Best Artificial Intelligence Engineering colleges in Bangalore, Karnataka
List of top/best Artificial Intelligence Engineering colleges in Bangalore. With complete list of courses offered and address, contact details.
The Reputed top Artificial Intelligence Engineering Colleges with fees structure from some all over Karnataka are featured in this list
B.E./B.Tech Artificial Intelligence Courses in Top/Best Engineering Colleges in Bangalore 2025
Overview
Artificial Intelligence (AI) is a transformative technology reshaping industries such as healthcare, finance, automotive, and IT. B.E./B.Tech programs in AI, AI & Machine Learning (ML), and AI & Data Science are designed to equip students with skills in machine learning, deep learning, data analytics, and intelligent system design. Bangalore’s top engineering colleges offer these programs with a focus on practical learning, industry collaboration, and strong placement support, leveraging the city’s proximity to tech giants like Infosys, Wipro, and IBM.
Top/Best Engineering Colleges in Bangalore Offering B.E./B.Tech AI Programs
The following colleges are among the top institutions in Bangalore offering AI-related B.E./B.Tech programs, based on NIRF rankings, placement records, and industry reputation:
- M.S. Ramaiah Institute of Technology (MSRIT)
- RV College of Engineering (RVCE)
- BMS College of Engineering (BMSCE)
- CMR Institute of Technology (CMRIT)
- PES University
- Dayananda Sagar College of Engineering (DSCE)
- Jain University
- Nitte Meenakshi Institute of Technology (NMIT)
Top/Best Artificial Intelligence Engineering Colleges in Bangalore: Program Details
M.S. Ramaiah Institute of Technology (MSRIT)
Program: B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Duration: 4 years (8 semesters)
Eligibility: 10+2 with Physics, Mathematics, and Chemistry/Computer Science/Biology/Electronics, minimum 45% aggregate (40% for Karnataka SC/ST/OBC). Admission via KCET/COMEDK UGET/JEE Main.
Core Subjects: Data Structures, Algorithms, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Big Data Analytics, Cloud Computing.
Elective Subjects: AI & Neuroscience, Robotics, Data Mining, Reinforcement Learning.
Practical Components: AI-based projects, internships, lab sessions using Python, TensorFlow, PyTorch.
Evaluation: Continuous Internal Evaluation (CIE) with 40 marks (30 for tests, 10 for assignments) and Semester End Exams (SEE).
Fee Structure: Approximately ₹3.5–4.5 lakhs per year (total ~₹14–18 lakhs for 4 years). Additional fees for management quota seats.
Placements:
- Top Recruiters: Microsoft, Amazon, Goldman Sachs, Infosys, Wipro, Accenture.
- Placement Rate: ~95% for AI-related branches.
- Average Salary: ₹8–12 LPA.
- Highest Salary: Up to ₹42 LPA (2024 data).
NIRF Ranking (2024): 78
RV College of Engineering (RVCE)
Program: B.E. in Computer Science and Engineering (AI and ML Specialization)
Duration: 4 years
Eligibility: 10+2 with PCM, minimum 45% aggregate, KCET/COMEDK UGET scores.
Core Subjects: Programming in Python, Data Structures, AI Fundamentals, Machine Learning Algorithms, Neural Networks, NLP, Data Analytics.
Elective Subjects: IoT, Blockchain, Autonomous Systems, AI Ethics.
Practical Training: Industry-aligned projects, hackathons, internships with tech firms.
Fee Structure: ₹3–4 lakhs per year (total ~₹12–16 lakhs). Management quota fees higher.
Placements:
- Top Recruiters: Google, Cisco, Deloitte, TCS, IBM, Flipkart.
- Placement Rate: ~90–95%.
- Average Salary: ₹10–14 LPA.
- Highest Salary: Up to ₹50 LPA (2024 data).
NIRF Ranking (2024): 96
BMS College of Engineering (BMSCE)
Program: B.E. in Artificial Intelligence and Machine Learning
Duration: 4 years
Eligibility: 10+2 with PCM, minimum 45% aggregate, admission via KCET/COMEDK.
Core Subjects: AI Foundations, Machine Learning, Deep Learning, Computer Vision, Data Science, Probabilistic Modeling.
Elective Subjects: Cloud AI, Big Data Tools, AI for Healthcare, Ethical AI.
Labs: AI and ML labs with tools like Jupyter, Keras, Scikit-learn.
Fee Structure: ₹2.5–3.5 lakhs per year (total ~₹10–14 lakhs).
Placements:
- Top Recruiters: Intel, EY, HCL, Infosys, TATA, Wipro.
- Placement Rate: ~90%.
- Average Salary: ₹7–11 LPA.
- Highest Salary: Up to ₹40 LPA.
NIRF Ranking (2024): 101–150 band
CMR Institute of Technology (CMRIT)
Program: B.E. in Artificial Intelligence and Machine Learning; B.E. in Artificial Intelligence and Data Science
Duration: 4 years
Eligibility: 10+2 with PCM, minimum 45% aggregate, KCET/COMEDK scores.
Core Subjects: AI Algorithms, Data Engineering, Machine Learning, Deep Learning, NLP, Data Visualization.
Elective Subjects: AI in IoT, Predictive Analytics, Cognitive Computing.
Practical Work: Capstone projects, industry internships, workshops.
Fee Structure: ₹2–3 lakhs per year (total ~₹8–12 lakhs).
Placements:
- Top Recruiters: Capgemini, Cognizant, TCS, Amazon, Infosys.
- Placement Rate: ~85–90%.
- Average Salary: ₹6–10 LPA.
- Highest Salary: Up to ₹25 LPA.
NIRF Ranking (2024): 151–200 band
PES University
Program: B.Tech in Computer Science and Engineering (AI Specialization)
Duration: 4 years
Eligibility: 10+2 with PCM, minimum 60% aggregate, PESSAT/KCET scores.
Core Subjects: AI Systems, Machine Learning, Data Structures, Algorithms, Neural Networks, Computer Vision.
Elective Subjects: AI for Robotics, Quantum Computing, Data Privacy.
Training: Industry tie-ups for projects, internships with startups.
Fee Structure: ₹4–5 lakhs per year (total ~₹16–20 lakhs).
Placements:
- Top Recruiters: Atlassian, Oracle, SAP Labs, IBM, Accenture.
- Placement Rate: ~95%.
- Average Salary: ₹10–15 LPA.
- Highest Salary: Up to ₹50 LPA.
NIRF Ranking (2024): 101–150 band
Top/Best Artificial Intelligence Engineering Colleges in Bangalore: General Insights Across Colleges
Foundation Courses: Mathematics (Linear Algebra, Probability, Statistics), Physics, Programming (Python, Java, R).
Core AI/ML Courses: Machine Learning, Deep Learning, NLP, Computer Vision, Data Analytics.
Emerging Topics: AI Ethics, Generative AI, AI for Healthcare, Autonomous Systems.
Practical Focus: Hands-on projects, internships, and industry-sponsored hackathons.
Ranges from ₹2–5 lakhs per year, depending on the college and quota (government/management). Government quota seats (via KCET) are generally cheaper; management quota seats can cost 2–3 times more.
Common entrance exams: KCET, COMEDK UGET, JEE Main, or university-specific tests like PESSAT (PES University) or JET (Jain University). Eligibility typically requires 10+2 with PCM and a minimum of 45–60% aggregate.
Sectors Hiring: IT, finance, healthcare, automotive, e-commerce, and consulting.
Roles Offered: AI Engineer, Machine Learning Engineer, Data Scientist, Data Engineer, NLP Specialist.
Average Salary Range: ₹6–15 LPA, with top performers securing ₹25–50 LPA.
Placement Rates: 85–95% across top colleges, with premier institutes like RVCE and MSRIT achieving near 100% for AI branches.
Bangalore’s tech ecosystem provides access to internships and placements with companies like Google, Microsoft, Amazon, and startups. Colleges collaborate with industry for curriculum design, guest lectures, and live projects.
Expected Salaries
| Role | Salary Range |
|---|---|
| AI Engineer (Entry-Level) | ₹6–12 LPA |
| Machine Learning Engineer (Entry-Level) | ₹7–14 LPA |
| Data Scientist (Entry-Level) | ₹8–15 LPA |
| Data Engineer (Entry-Level) | ₹6–12 LPA |
| Mid-Level Roles (3–5 years experience) | ₹15–30 LPA |
| Senior Roles (5+ years) | ₹30–60 LPA or higher |
Factors Influencing Salaries:
- College reputation and NIRF ranking.
- Skills in high-demand areas like deep learning, NLP, or generative AI.
- Internship experience and project portfolio.
- Performance in competitive coding and hackathons.
Why Choose Bangalore for AI Studies?
- Tech Hub: Home to India’s largest IT and startup ecosystem, offering networking and job opportunities.
- Industry-Aligned Curriculum: Colleges partner with tech firms to ensure relevance.
- Research Opportunities: Access to AI research labs and innovation centers.
- High Demand: AI and ML skills are in high demand, with the global AI market expected to grow significantly by 2025.
Recommendations
- For Budget-Conscious Students: Consider BMSCE or CMRIT for affordable fees and decent placements.
- For Top Placements: MSRIT, RVCE, or PES University offer the best salary packages and recruiter diversity.
- For Research-Oriented Students: Jain University and CMRIT emphasize practical projects and industry tie-ups.
- Preparation Tips:
- Strengthen fundamentals in mathematics and programming.
- Build a portfolio with AI/ML projects (e.g., on GitHub).
- Participate in hackathons and internships to enhance employability.
Sources
- NIRF Rankings 2024
- Official college websites (MSRIT, RVCE, BMSCE, CMRIT, PES University)
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