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.
Why Choose This Programme?
What You Will Learn
Eligibility & Fee Structure
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.