Delhi NCR Campus

BSc (Data Science and Artificial Intelligence/Honours/Honours
with Research)

Open from: 18-May-2026 | Open until: 11-Jun-2026

Analytical Skills Entrepreneurial Development Consumer Behavior Analytics Advanced Data Analytics Artificial Intelligence & Machine Learning Students Pursuing Career in Data Analytics (Finance & Marketing Fields)
0
Semester
Specialisations
0 Yrs
Duration
Top 50
B-School India
Banner
Applications OpenUntil 11-Jun-2026
3 +
6
100 +
95 %
Programme Overview

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 BSc (Data Science and Art at Delhi NCR Campus

Why Choose This Programme?

Interdisciplinary Approach: Combines core concepts of data science and artificial intelligence, equipping you with skills to analyze data, create intelligent systems, and solve real-world problems.
Hands-On Learning: Offers extensive practical exposure through projects, research, and collaborations with leading industry partners, ensuring you’re industry-ready.
Cutting-Edge Technology Focus: Stay ahead of the curve with a curriculum aligned to the latest advancements in AI, machine learning, and big data analytics.
Areas of Specialisation

Choose Your Track

Data Analytics & Business Intelligence

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.

Artificial Intelligence & Machine Learning

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.

Big Data & Cloud Computing

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.

Learning Outcomes

What You Will Learn

Data Analytics & Statistical Techniques: Gain expertise in data visualization, statistical modeling, and predictive analytics to extract actionable insights from large datasets.
Artificial Intelligence & Machine Learning: Learn to develop AI models and machine learning algorithms for pattern recognition, decision-making, and automation.
Programming & Big Data Technologies: Master programming languages such as Python, R, and SQL, while exploring tools for big data processing, cloud computing, and deep learning.
Academic Curriculum

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
COREMathematics for Data Science - I (Calculus & Linear Algebra)4 Credits Credits
COREStatistics - I (Descriptive Statistics & Probability)4 Credits Credits
COREIntroduction to Data Science & AI3 Credits Credits
CORECommunicative English3 Credits Credits
COREPython Programming - I (Basics)3 Credits Credits
COREPython Programming Lab2 Credits Credits
COREData Exploration Lab2 Credits Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 2 — Programming & Analytical Thinking
COREMathematics for Data Science - II (Discrete Maths & Probability)4 Credits Credits
COREStatistics - II (Inferential Statistics)4 Credits Credits
COREPython Programming - II (OOP & Libraries)4 Credits Credits
COREEnvironmental Science2 Credits Credits
COREDigital Tools for Data Analysis3 Credits Credits
Python & Statistics Lab2 Credits Credits
ELECSkill Enhancement Course - I2 Credits Credits
Semester 3 — Data Management & Web Technologies
COREDatabase Management Systems & SQL4 Credits Credits
COREMachine Learning - I (Supervised Learning)4 Credits Credits
COREData Visualisation & Storytelling (Tableau / Power BI)3 Credits Credits
COREBusiness Analytics & Decision Making3 Credits Credits
COREWeb Application Development (Flask / Django)3 Credits Credits
COREML & DBMS Lab2 Credits Credits
ELECOnline Certification Course - I (MOOC)2 Credits Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 4 — AI Foundations & Placement Orientation
COREMachine Learning - II (Unsupervised & Ensemble Methods)4 Credits Credits
COREDeep Learning & Neural Networks4 Credits Credits
COREAdvanced OOP Concepts for AI Applications3 Credits Credits
SECPlacement Orientation & Career Readiness2 Credits Credits
ELECInterdisciplinary Subject - I3 Credits Credits
AI Application Development Lab2 Credits Credits
ELECOnline Certification Course - II (MOOC)2 Credits Credits
Semester 5 — Specialisation & Live Projects
CORENatural Language Processing (NLP)4 Credits Credits
CORECloud Computing for Data Science (AWS / Azure)4 Credits Credits
SPECSpecialisation Subject - I (Track-Based)3 Credits Credits
SPECSpecialisation Subject - II (Track-Based)3 Credits Credits
ELECFinance Analytics / Consumer Behaviour Analytics (Domain Elective)3 Credits Credits
CORELive Project - Phase I2 Credits Credits
ELECResearch Methodology (Honours)2 Credits Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 6 — Industry Applications & Research
COREComputer Vision & Image Processing4 Credits
COREBig Data Technologies (Hadoop, Spark)4 Credits
SPECSpecialisation Subject - III (Track-Based)3 Credits
ELECEntrepreneurship & Innovation in AI3 Credits
CORELive Project - Phase II / Industry Collaboration2 Credits
ELECOnline Certification Course - III (MOOC)2 Credits
SPECResearch Dissertation - Phase I (Honours with Research)3 Credits
Semester 7 — Advanced Computing & Industry Projects
COREAdvanced Topics in AI & Emerging Technologies4 Credits Credits
COREIndustry-Oriented Project / Internship6 Credits Credits
ELECAdvanced Elective - I (e.g. Reinforcement Learning / MLOps)3 Credits Credits
CORELive Simulations & Case Studies2 Credits Credits
Continuous Internal Assessments Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 8 — Dissertation / Capstone & Final Assessments
SPECResearch Dissertation / Capstone Project (Honours with Research)8 Credits Credits
ELECAdvanced Elective - II3 Credits Credits
ELECAdvanced Elective - III3 Credits Credits
Comprehensive Viva Voce & Final Presentation Credits
Download Brochure 2026
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
From the Department

Message from the HOD

HOD Name
Dr. Bosco Paul Alapatt
Computer Science, Mathematics and Statistics)
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

Read more...

Computer Science, Mathematics and Statistics, Delhi NCR Campus
How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications for the 2026 batch are open. Deadline: 11-Jun-2026.

CHRIST
(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029, Karnataka, India

Tel: +91 80 4012 9100 / 9600

Fax: +91 80 4012 9000

Email: mail@christuniversity.in

Web: https://www.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

Copyright © CHRIST (Deemed to be University) 2025 | Privacy Policy