About the Programme
B.Tech. in Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the concepts of Artificial intelligence and machine learning and apply it in various applications. Delivery of the curriculum is through a problem based and project-based approach. The students are provided with a 360-degree holistic education with an equal weightage being given to co-curricular and extra-curricular activities along with the necessary skill development required for engineering industry. Further Highlights of the Programme include,
• Globally competent curriculum vetted through involvement of industry experts and academic experts in line with industry requirements.
• The students will have mandatory internships and also industry-based student internships to understand the requirements of industry.
• Students are given a plethora of interdisciplinary and multidisciplinary disciplines through open electives and global electives in line with National Education Policy 2020.
• Industry oriented curriculum towards providing opportunities to solve real time problems faced by industries.
• Application based teaching learning through case studies and frequent field visits.
• Opportunity to hone their skill sets required in a particular domain through Honours and Minor programmes.
Industry-Focused Curriculum
Learn core concepts of Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and Intelligent Systems through hands-on projects and real-world applications.
Practical Learning & Innovation
Students gain practical exposure through laboratories, internships, mini-projects, hackathons, and research activities in emerging AI technologies.
Career Opportunities & Higher Studies
Graduates can pursue careers as AI Engineers, Machine Learning Engineers, Data Scientists, Business Intelligence Analysts, and Research Professionals.
Ethical AI & Future Technologies
The program emphasizes responsible and ethical use of Artificial Intelligence while exploring modern technologies like Generative AI, Robotics, IoT, and Cloud AI.
Why Choose This Programme?
Project Based Learning
Students learn through real-time projects, case studies, and practical problem-solving activities that enhance technical and analytical skills.
Global Competence Building
The program develops global perspectives through interdisciplinary learning, communication skills, and exposure to emerging international technologies.
Core Job Opportunities
Graduates gain opportunities in leading industries such as Artificial Intelligence, Machine Learning, Data Science, Automation, and Software Development.
International Exchange Programs
Students can participate in academic collaborations, global learning initiatives, and exchange programs with international institutions.
Fast Track Internship
The institution facilitates early internship opportunities with industries, startups, and research organizations to provide practical exposure.
Open air theatre and gazebos for outdoor learning
The campus provides open learning spaces such as open-air theatres and gazebos that encourage interactive and collaborative learning experiences.
Choose Your Track
Areas of Specialization
Focus on intelligent systems, neural networks, computer vision, and natural language processing technologies.
Develop skills in data visualization, big data analytics, statistical modeling, and business intelligence techniques.
Explore robotics, IoT integration, automation systems, and AI-powered smart devices for real-world applications.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Computer Programming
Semester 2 — Basics Electrical Engineering
Semester 3 — Python Programming
Semester 4 — Computer Networks
Semester 5 — Cloud Computing
Semester 6 — Digital Image Processing
Semester 7 — Internship
Semester 8 — Project Work
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Focus on intelligent systems, neural networks, computer vision, and natural language processing technologies.
Develop skills in data visualization, big data analytics, statistical modeling, and business intelligence techniques.
Explore robotics, IoT integration, automation systems, and AI-powered smart devices for real-world applications.
Message from the HOD
Bangalore Kengeri Campus
We are at the vanguard of a technological revolution in which data-driven solutions and intelligent systems are reshaping every industry. At CHRIST (Deemed to be University), the Department of AI and Data Science Engineering is dedicated to fostering the next wave of researchers, innovators and moral AI experts who can develop significant answers to pressing problems. Academic rigour and experiential learning are integrated in our department. Our students participate in project-based learning, research, industry collaboration and internships as part of a comprehensive curriculum that is tailored to stay up with global a
Message from the HOD
We are at the vanguard of a technological revolution in which data-driven solutions and intelligent systems are reshaping every industry. At CHRIST (Deemed to be University), the Department of AI and Data Science Engineering is dedicated to fostering the next wave of researchers, innovators and moral AI experts who can develop significant answers to pressing problems. Academic rigour and experiential learning are integrated in our department. Our students participate in project-based learning, research, industry collaboration and internships as part of a comprehensive curriculum that is tailored to stay up with global advancements. We place a strong emphasis on holistic education, which promotes societal impact, interdisciplinary learning, and critical thinking. We take great pride in the lively learning environment we foster, our committed faculty and our active student body. As we expand, we want to establish ourselves as a centre for innovation and teaching in the fields of artificial intelligence, machine learning and data science. I encourage you to investigate the opportunities in our department and work with us to create a future.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications for the 2026 batch are open. Deadline: 07-Jun-2026.