Computer Science & Engineering in Artificial Intelligence & Machine Learning
Build the intelligence behind tomorrow’s technology. Develop expertise in Artificial Intelligence, Machine Learning, data-driven systems, automation and intelligent applications through an industry-oriented engineering programme.
4 Years
8 Semesters
AI + ML
Future-Focused Learning
Future Ready
THE PROGRAMME
Where Intelligence Meets Innovation
Artificial Intelligence and Machine Learning are transforming the way businesses, industries and society solve problems.
Our B.Tech AI & ML programme develops strong foundations in programming, mathematics, statistics, data structures and algorithms before progressing into Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Natural Language Processing and intelligent systems.
Students learn to analyse data, develop predictive models and design intelligent solutions for real-world applications.
Learn. Build. Innovate.
The programme combines theoretical foundations with programming, experimentation, projects and application-based learning.
95%
100+
AI + ML
Project Based
Learning Approach
Department Vision
To develop innovative and responsible AI professionals capable of designing intelligent technologies that address real-world industrial and societal challenges.
Department Mission
- Provide strong foundations in computing, mathematics and AI.
- Develop practical skills in Machine Learning and intelligent systems.
- Encourage research, innovation and experimentation.
- Promote ethical and responsible use of AI.
- Prepare students for careers in emerging technology domains.
MEET OUR FACULTIES
Faculty & Academic Leadership
Behind every successful student is a team of dedicated educators, mentors, and professionals. Our experienced faculty and staff are committed to delivering quality education, encouraging innovation, and guiding students toward academic, professional, and personal excellence.
Dr. Prakash K Sonwalkar
Qualification: B.E, M.Tech, Ph.D
Designation: Professor & HOD
Experience: 18 yrs
Dr. Anand Gudnavar
Qualification: B.E, M.Tech, Ph.D
Designation: Professor, Dean accreditation
Experience: 19 yrs
Prof. Hanumant Pujar
Qualification: B.E,M.Tech
Designation: Assistant Professor
Experience: 16 Yrs
Prof. Swati Laxmeshwar
Qualification: M.Tech (CSE)
Designation: Assistant Professor
Experience: 13 yrs
Prof. Shashikala Reddy D
Qualification: M.Tech (CSE)
Designation: Assistant Professor
Experience: 8 Yrs
Prof. Megha V. Patil
Qualification: B.E, M.Tech
Designation: Assistant Professor
Experience: 7 yrs
Other Staff Members
Miss. Shradha Bokade
Qualification: Diploma
Designation: Instuctor
Email: shradhabokade28@gmail.com
Experience: 3 yrs
Miss. Sahana P Boraganve
Qualification: BCA
Designation: Instructor
Email: sahanaboraganve@gmail.com
Experience: 0.5 yrs
Mrs. Kalpana Patil
Designation: Attender
Experience: 6 yrs
WHY AI & ML?
More Than a Degree. A Journey Into Intelligent Technology.
Build the technical confidence, creativity and problem-solving mindset required to thrive in a rapidly changing digital world.
01 / FOUNDATION
Strong Computing Foundation
Develop expertise in programming, mathematics, statistics, algorithms and computational thinking.
02 / TECHNOLOGY
AI & ML Exposure
Explore machine learning, deep learning, computer vision, NLP, generative AI and intelligent systems.
03 / PRACTICAL
Learn Through Data
Work with datasets, machine learning models, AI frameworks and real-world problem-solving projects.
04 / INDUSTRY
Industry-Oriented Skills
Develop capabilities relevant to technology, analytics, automation, software and AI-driven industries.
05 / INNOVATION
Build Intelligent Solutions
Transform ideas into AI-powered applications that address practical business and societal challenges.
06 / CAREER
Future-Focused Careers
Prepare for opportunities in AI engineering, machine learning, data science, analytics, software development and intelligent automation.
Research Center Details
List of Recognized SupervisorsList of Recognized Supervisors
Our Programs
Program Educational Objectives (PEOs):
- Build careers in Artificial Intelligence, Machine Learning and computing industries.
- Apply mathematical, statistical and computational knowledge to complex problems.
- Design intelligent systems for real-world applications.
- Demonstrate professional ethics and responsible AI practices.
- Pursue higher education, research, innovation and entrepreneurship.
Program Specific Outcomes (PSOs):
- Apply AI and ML algorithms to real-world datasets.
- Design, develop and evaluate intelligent computational models.
- Apply knowledge of data science, deep learning and intelligent systems.
- Develop AI-based solutions while considering accuracy, security, ethics and scalability.
CURRICULUM JOURNEY
Four Years. One Intelligent Future.
YEAR 01
BUILD THE FOUNDATION
Programming • Engineering Mathematics • Engineering Science • Computer Fundamentals • Communication
YEAR 02
MASTER COMPUTING & DATA
Data Structures • OOP • DBMS • Probability & Statistics • Algorithms • Computer Networks
YEAR 03
EXPLORE ARTIFICIAL INTELLIGENCE
Artificial Intelligence • Machine Learning • Data Science • Deep Learning • NLP • Computer Vision
YEAR 04
BUILD INTELLIGENT SYSTEMS
Advanced AI • Generative AI • Industry Projects • Internship • Capstone Project • Research & Innovation
Frequently Asked Questions
What is B.Tech AI & ML?
A four-year engineering programme focused on Artificial Intelligence, Machine Learning, programming, data and intelligent computing systems.
Is AI & ML a good career option?
AI and ML are rapidly expanding technology fields with applications across numerous industries.
What programming languages are useful for AI & ML?
Python is widely used, along with other programming languages depending on the application.
What can I become after B.Tech AI & ML?
Graduates can pursue careers as AI Engineers, ML Engineers, Data Scientists, AI Analysts and related technology professionals.
Is mathematics important for AI & ML?
Yes. Mathematics, statistics and logical reasoning provide important foundations for understanding AI and ML.