About the Programme
Computer Science and Engineering (Artificial Intelligence and Machine Learning - AIML) is a 4-year, 8 semester Undergraduate program aimed at studying, designing, developing, implementing, supporting and managing computer-based artificial intelligent systems. Students under this course learn advanced learning solutions imparting knowledge of innovations in machine learning, deep learning and artificial intelligence (AI). The AIML program provides a rigorous introduction to machine learning, as well as opportunities to explore theoretical and project-based learning in digital image and natural language processing. This course discusses AI methods based on different fields, including neural networks, signal processing, control, and data mining in order to present a unified treatment of machine learning problems and solutions. This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in pursuit of excellence by keeping high
personal and professional values and ethics. BTech CSE-AIML program is designed to enable students to build intelligent machines, software applications with a cutting-edge combination of Computer Vision technologies. This course discusses Intelligent Systems, Supervised and Unsupervised Learning, Neural Networks, and Inductive based Learning in order to design AI Based Applications for the real-world problems.
Artificial Intelligence
This program focuses on developing intelligent systems that can simulate human decision-making and problem-solving abilities. Students learn AI concepts such as neural networks, deep learning, and natural language processing.
Machine Learning
Machine Learning enables computers to learn from data and improve performance without explicit programming. The curriculum covers supervised learning, unsupervised learning, predictive analytics, and real-world AI applications.
Computer Science
The program provides a strong foundation in computer science fundamentals including programming, algorithms, databases, operating systems, and software engineering. Students gain practical and theoretical knowledge for advanced technology development.
Data Science
Students learn techniques to collect, process, and analyze large datasets for intelligent decision-making. The program integrates big data technologies, statistical analysis, and AI-driven data solutions for industry applications.
Why Choose This Programme?
Faculty members with AIML expertise.
Experienced faculty members with specialized knowledge in Artificial Intelligence and Machine Learning guide students through industry-relevant concepts, research, and practical applications.
State of the art infrastructure and laboratories.
Modern laboratories equipped with advanced computing systems, AI tools, and high-performance software provide students with hands-on learning and real-time experimentation opportunities.
Industry and international benchmarked curriculum.
The curriculum is designed in alignment with global academic standards and current industry requirements to ensure students gain future-ready technical and professional skills.
Student centric and project-based teaching pedagogy.
The program emphasizes experiential learning through projects, collaborative activities, case studies, and practical problem-solving to enhance student engagement and innovation.
Research avenues, capstone projects and hackathons.
Students are encouraged to participate in research activities, interdisciplinary capstone projects, and hackathons that foster creativity, analytical thinking, and technological innovation.
Industry-Academia tie-ups.
Collaborations with leading industries and academic institutions provide students with internships, expert sessions, certifications, and exposure to real-world technological practices.
Choose Your Track
Area of Specialization
Focus on extracting meaningful insights from data using analytics, statistics, and AI-driven technologies. Students develop skills in predictive modeling, visualization, and intelligent decision-making systems.
Learn how computers analyze data and improve performance through predictive algorithms and intelligent learning models used in real-world applications.
Explore technologies that enable machines to understand, interpret, and generate human language for applications such as chatbots, translation systems, and virtual assistants.
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 — SEM 1
Semester 2 — SEM 2
Semester 3 — SEM 3
Semester 4 — SEM 4
Semester 5 — SEM 5
Semester 6 — SEM 6
Semester 7 — SEM 7
Semester 8 — SEM 8
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 extracting meaningful insights from data using analytics, statistics, and AI-driven technologies. Students develop skills in predictive modeling, visualization, and intelligent decision-making systems.
Learn how computers analyze data and improve performance through predictive algorithms and intelligent learning models used in real-world applications.
Explore technologies that enable machines to understand, interpret, and generate human language for applications such as chatbots, translation systems, and virtual assistants.
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.