About the Programme
Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks. This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics. BTech CSE-Data Science specialization program is a multidisciplinary field that combines statistics, programming, domain knowledge, and data analysis skills. The increasing significance of data in our digital age, along with the numerous opportunities it presents across industries, makes data science courses highly sought after by individuals and organizations looking to harness the power of data for better decision-making and innovation. The demand for data scientists and data architects have been on the rise in recent years, and this trend is expected to continue for the foreseeable future.
Data Science
This program equips students with the skills to collect, process, analyze, and interpret complex datasets for intelligent decision-making and business solutions.
Artificial Intelligence
Students learn AI techniques and intelligent algorithms that help machines perform tasks such as prediction, automation, and pattern recognition.
Big Data Analytics
The curriculum focuses on handling massive volumes of structured and unstructured data using modern big data tools, cloud technologies, and analytical platforms
Computer Science
The program builds a strong foundation in programming, databases, algorithms, software engineering, and computational problem-solving required for data-driven technologies.
Why Choose This Programme?
Dedicated laboratories for data science research.
Fully equipped labs provide hands-on experience in data analytics, machine learning, and AI model development. Students gain practical exposure using industry-standard tools and real-world datasets
Abroad university exchange programs
Students get opportunities to study or collaborate with international universities for global exposure. These programs help enhance academic learning and cross-cultural technical experience.
Data Science student clubs associated seminars and conferences
Student-led clubs and academic events encourage innovation, peer learning, and knowledge sharing. Regular seminars and conferences connect students with experts and emerging trends in the field
Industry Tie-ups for internships, project work and for placements.
Strong collaborations with companies provide internship opportunities and real-time industry projects. These partnerships improve employability and placement prospects in leading organizations.
Industry 4.0 curriculum to match recent frameworks
The curriculum is aligned with modern Industry 4.0 technologies such as AI, IoT, cloud computing, and automation. It ensures students are trained in future-ready skills required by global industries.
Exclusive domain expert faculty members
Experienced faculty with strong expertise in Data Science and related domains guide students through advanced concepts and research. They bring academic excellence combined with industry insights to enhance learning outcomes.
Choose Your Track
Area of Specialization
Focuses on understanding data, identifying patterns, and generating insights to support business and research decisions.
Build intelligent systems that learn from data and make predictions or decisions without explicit programming.
Focuses on managing and processing large-scale datasets using distributed systems and cloud technologies.
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 — Python Programming
Semester 3 — Data Structures
Semester 4 — Computer Networks
Semester 5 — Cloud Computing
Semester 6 — Deep Learning
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.
Focuses on understanding data, identifying patterns, and generating insights to support business and research decisions.
Build intelligent systems that learn from data and make predictions or decisions without explicit programming.
Focuses on managing and processing large-scale datasets using distributed systems and cloud technologies
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.