Programme Overview
B.Sc. Data Science is a cutting-edge programme that trains students to collect, clean, analyse, and communicate data-driven insights using Python, R, SQL, machine learning, and data visualisation tools. The programme is designed in collaboration with industry partners and covers the full data science pipeline — from data acquisition and EDA to model deployment and business storytelling. Graduates are ready for roles as data analysts, ML engineers, and BI developers.
Key Highlights
- 100% industry-relevant curriculum — Python, R, SQL, Tableau, Power BI
- Hands-on datasets from real-world business problems each semester
- Capstone project with data from industry partner companies
- Covers Machine Learning, Deep Learning, NLP, and Time Series
- Elective tracks: Business Intelligence, AI Engineering, or Research Analytics
- Kaggle and GitHub portfolio building integrated into curriculum
- Strong placement support — data roles in tech, finance, and consulting
- Bridge to M.Sc. Data Science / MBA (Analytics) / MTech AI
Semester-wise Syllabus
1Semester I
1
Semester IStatistics & Probability
Python for Data Science
Mathematics for Data Science (Linear Algebra, Calculus)
Introduction to Data Science
Database Fundamentals & SQL
Data Science Lab I
2Semester II
2
Semester IIExploratory Data Analysis (EDA)
Data Wrangling with Pandas & NumPy
Advanced SQL & NoSQL (MongoDB)
Data Visualisation (Matplotlib, Seaborn, Tableau)
Business Analytics Fundamentals
Data Science Lab II
3Semester III
3
Semester IIIMachine Learning — Supervised & Unsupervised
Feature Engineering & Model Selection
Statistical Inference & Hypothesis Testing
Big Data Technologies (Hadoop, Spark)
Cloud Data Services (AWS / GCP)
ML Lab & Mini Project
4Semester IV
4
Semester IVDeep Learning & Neural Networks
Natural Language Processing (NLP)
Computer Vision Fundamentals
Time Series Analysis & Forecasting
Elective I (Recommender Systems / BI / Finance Analytics)
Advanced ML Lab
5Semester V
5
Semester VMLOps & Model Deployment (Flask, Docker, APIs)
Data Ethics, Privacy & Governance
Advanced NLP & LLM Applications
Industry Capstone Data Project — Part I
Elective II — Specialisation
Internship / Kaggle Competition Report
6Semester VI
6
Semester VIAI Product Development
Research Methods in Data Science
Open Data & Responsible AI
Elective III — Advanced Track
Industry Capstone Data Project — Part II
Portfolio Review & Viva
Career Prospects
Data Analyst
Business Intelligence Developer
ML Engineer (Junior)
Data Engineer (ETL / Pipeline)
Data Visualisation Specialist
Research Analyst
Product Analyst
M.Sc. Data Science / MBA Analytics entry
Eligibility Criteria
10+2 with Mathematics, minimum 45% marks
Relaxation for SC/ST/OBC/PwD candidates as per UGC norms. Refer to the Admission Prospectus for exact eligibility and cut-offs.
Admissions Open 2026–27
B.Sc. (Data Science)
Computer Science & IT
Total Fee₹66,000
Per Semester₹11,000 per semester
Duration3 Years
ModeOnline
Intake120 seats
Topics Covered
Data ScienceMachine LearningPythonAnalyticsAI