3/4 YEARS (HONOURS) PROGRAM
| Eligibility Criteria, Fees & Duration | |
|---|---|
| Eligibility Criteria | 10 + 2 (Any Stream) |
| Fees/Semester | 45,000/- |
| Duration | 3/4 Years (6/8 Semesters) |
| Intake Capacity | 60 Seats |
Program Introduction
The B.Sc. in Data Analytics is designed as per NEP 2026-27 to develop strong foundations in statistics, programming and databases, progressing into big data processing, predictive analytics, data visualization, cloud data engineering and generative AI / LLMs. With a Business Analytics minor and dedicated internship / on-the-job training and research project components, the programme prepares learners for high-demand roles in data analytics, business intelligence and data engineering.
Salient Features
Industry-Oriented Curriculum
Designed in alignment with current industry needs in Cyber Security and FinTech.
Experienced Faculty
Learn from qualified academicians and industry professionals.
Practical Learning & Labs
Hands-on training through real-time labs, simulations and live projects.
Advanced Technology Exposure
Exposure to cybersecurity tools, cloud platforms (AWS, Azure) and network technologies.
Multiple Entry / Exit
Certified exit at every stage — Certificate, Diploma, Advanced Diploma and Degree.
Internships & Corporate Exposure
On-the-job training and industry internship opportunities in Semesters 5 & 6.
COURSE CURRICULUM
Semester 1
- Linear Algebra and Numerical Analysis
- Programming with Python
- Data Analysis using Spread Sheets
- Mathematics for Computing
- Professional Communication
- Digital Literacy
- Karma Yoga and IKS
Semester 2
- Foundations of Statistics and Probability
- Foundations of Artificial Intelligence
- Relational Database Management System
- Computer Networks
- Interpersonal Communication
- AI Prompting Techniques
- Environmental Governance
- Create a Database (Audit Course, min. 6 pages)
Semester 3
- Data Structures & Algorithms
- Big Data Infrastructure with Linux
- Introduction to Data Analytics
- R Programming
- Basics of Foreign Language
- Design Thinking
- Indian Heritage & Culture
Semester 4
- Data Mining & Data Warehousing
- Business Intelligence Tools
- Financial Accounting for Analytics
- Data Visualization Techniques
- Advanced Foreign Language
- Entrepreneurship & Innovation
- Emotional Intelligence
- Community Connect Project (Audit Course)
Semester 5
- Predictive Analytics
- Machine Learning
- Big Data Processing (Hadoop & Spark)
- Natural Language Processing (NLP) Basics
- DevOps for Data Science
- Cyber Security Fundamentals
Semester 6
- Deep Learning Fundamentals
- Big Data Analytics Framework
- Cloud Data Engineering (AWS / GCP)
- Internet of Things (IoT) – Analytics
- Principles of Ethical Academic Writing and Publication
- On-the-Job Training / Internship (120 hrs)
- Summer Project – Industrial Defined Project (4 weeks)
Semester 7
- Generative AI / LLMs
- MLOps & Model Deployment
- Advanced DB (NoSQL, MongoDB, Cassandra)
- Research Methodology & Data Ethics
- On-the-Job Training / Research Project (180 hrs)
Semester 8
- Data Governance & Compliance
- Cloud Data Management
- DevOps Basics
- Entrepreneurship in Data Science
- On-the-Job Training / Research Project (180 hrs)