About the Programme
The BSc (Data Science and Artificial Intelligence) programme at CHRIST (Deemed to be University), Delhi NCR Campus, acquaints students with the latest upcoming technologies in the field of Data Science and AI and their applications in real-world problems. The course emphasises the usage of different tools and algorithms for developing strong analytical skills. It offers students the opportunity to learn the various aspects of finance and marketing analytics, providing a definite edge through specialisation in analytics that offers meaningful insight for decision making. The programme enables students to analyse finance and marketing data and take effective decisions on the challenges of the global economy, embedding courses like Business Analytics, Python, and Data Mining to meet the demands of the changing business environment.
Data-Driven Decision Making
Students learn to analyse complex finance and marketing datasets, applying statistical and AI-driven techniques to generate actionable insights that support informed decision-making in dynamic business environments.
Tools & Technology Mastery
The curriculum integrates hands-on training in industry-standard tools including Python, R, SQL, Tableau, and machine learning frameworks ensuring students are proficient in both programming and data analysis workflows.
Industry-Integrated Learning
Collaborative projects with leading industry partners, live data projects, and internships bridge the gap between academic theory and real-world practice, keeping students industry-ready from day one.
Interdisciplinary & Research Focus
The programme blends computer science, mathematics, statistics, and business analytics into a cohesive curriculum. Honours and Honours with Research tracks provide additional depth for students with aspirations in research or advanced academics.
Why Choose This Programme?
Core Concepts of Data Science & AI : Gain a deep and structured understanding of the foundational and advanced principles of Data Science and Artificial Intelligence equipping you with skills to analyse data, build intelligent systems, and solve complex real-world problems across diverse domains.
Practical Exposure through Projects & Industry Collaborations : The programme ensures practical exposure through live projects, guided research, and collaborations with leading industry partners. Students are industry-ready upon graduation, having worked with real datasets and applied AI models in domain-specific contexts.
Technology-Focused Curriculum : Stay ahead of the curve with a curriculum continuously aligned to the latest advancements in AI, machine learning, and big data analytics. Subjects are updated regularly to reflect emerging tools, frameworks, and methodologies used in top organisations globally.
Choose Your Track
Focuses on transforming raw data into business insights. Covers statistical modelling, data visualisation (Tableau, Power BI), Excel analytics, SQL, and domain-specific analytics in finance and marketing ideal for aspiring data analysts and BI consultants.
Covers supervised and unsupervised ML algorithms, neural networks, deep learning, NLP, and AI model deployment. Students work with Python, TensorFlow, and scikit-learn ideal for those targeting AI engineer, ML specialist, or research associate roles.
Explores big data ecosystems (Hadoop, Spark), cloud platforms (AWS, Azure, GCP), data engineering pipelines, and real-time data processing. Ideal for students aiming for roles in data engineering, cloud analytics, or enterprise data management.
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 — Mathematical & Statistical Foundations
Semester 2 — Programming & Analytical Thinking
Semester 3 — Data Management & Web Technologies
Semester 4 — AI Foundations & Placement Orientation
Semester 5 — Specialisation & Live Projects
Semester 6 — Industry Applications & Research
Semester 7 — Advanced Computing & Industry Projects
Semester 8 — Dissertation / Capstone & Final Assessments
Eligibility & Fee Structure
Career Paths
Message from the HOD
Delhi NCR Campus
Welcome to the Department of Computational Sciences, CHRIST(Deemed to be University), NCR Campus. Soon, India will be a talent provider to the world of computational sciences. To meet the demanding educational requirements in the field of sciences and preparing young minds to set a high benchmark in society, the University has started the School of Sciences with the Department of Computational Sciences as a separate wing. The mission of the budding department is to utilize the power of computational sciences to mould the young minds, to take up the challenging industry innovations for the betterment of society. Computational Science has marked its importance in our professional and personal life.
The curriculum is designed to
Message from the HOD
Welcome to the Department of Computational Sciences, CHRIST(Deemed to be University), NCR Campus. Soon, India will be a talent provider to the world of computational sciences. To meet the demanding educational requirements in the field of sciences and preparing young minds to set a high benchmark in society, the University has started the School of Sciences with the Department of Computational Sciences as a separate wing. The mission of the budding department is to utilize the power of computational sciences to mould the young minds, to take up the challenging industry innovations for the betterment of society. Computational Science has marked its importance in our professional and personal life.
The curriculum is designed to impart in-depth subject knowledge, problem-solving skills, personal grooming, and research aptitude. A well-qualified teaching staff with Ph.D. in the various domain will help the students to guide them in different latest areas of computing. Apart from the regular classroom sessions, the department pays attention to the holistic development of an individual. The students also get an opportunity to organize and coordinate various levels of department and university activities like corporate interfaces, fests, seminars, workshops, etc. The student community is also encouraged to be part of various science club activities for broadening their enthusiasm for Science. I am sure that the world-class facilities available to the students, the unending support of a team of dedicated teachers, the various co-curricular, extra-curricular activities available in each semester, and the fully engaged campus life will mould the students to face the challenges ahead in a matured manner.
Thank you for your interest and support
Dr. Bosco Paul Alapatt
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: 11-Jun-2026.