Key Academic Highlights
Academic Excellence
Comprehensive curriculum blending Mathematics, Statistics, Python, and Deep Learning
Academic Excellence
Hands-on big data infrastructure, GPU-accelerated computing, and cloud sandbox labs
Academic Excellence
Proximity to Manyata Tech Park ensuring real-world data science project internships
Academic Excellence
100% IAGI Badge Scholarships for top board and competitive exam performers
Eligibility Criteria (Admissions 2026-27)
Pass in 10+2 / Pre-University (PUC) / CBSE / ISC or equivalent examination in Science with Mathematics / Statistics / Computer Science with at least 45% aggregate marks.
Value-Added Industry Certifications
Alongside the formal curriculum, students earn professional certifications integrated into the academic calendar:
Curriculum Structure & Semester Modules
Our syllabus integrates foundational coursework, intensive laboratory practicals, and capstone corporate projects:
Semester 1
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS101 | Calculus & Linear Algebra for Data Science | 4 Hrs/Wk |
| DS102 | Programming Fundamentals with Python | 4 Hrs/Wk |
| DS103 | Descriptive Statistics & Probability | 4 Hrs/Wk |
| DS104P | Python & Data Wrangling Lab | 3 Hrs/Wk |
Semester 2
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS201 | Data Structures & Algorithms with Python | 4 Hrs/Wk |
| DS202 | Probability Distributions & Inferential Statistics | 4 Hrs/Wk |
| DS203 | Relational Databases & Advanced SQL | 4 Hrs/Wk |
| DS204P | Data Structures & SQL Practicum | 3 Hrs/Wk |
Semester 3
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS301 | Supervised Machine Learning Algorithms | 4 Hrs/Wk |
| DS302 | Data Exploration & Interactive Visualization (Tableau/Seaborn) | 4 Hrs/Wk |
| DS303 | Numerical Optimization Techniques | 4 Hrs/Wk |
| DS304P | Machine Learning Model Lab | 3 Hrs/Wk |
Semester 4
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS401 | Unsupervised Learning & Pattern Recognition | 4 Hrs/Wk |
| DS402 | Big Data Engineering with Hadoop & Spark | 4 Hrs/Wk |
| DS403 | Cloud Computing Platforms for Analytics | 4 Hrs/Wk |
| DS404P | Big Data Processing Lab | 3 Hrs/Wk |
Semester 5
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS501 | Deep Learning Architectures & Neural Networks | 4 Hrs/Wk |
| DS502 | Natural Language Processing (NLP) | 4 Hrs/Wk |
| DS503 | Time Series Forecasting & Econometrics | 4 Hrs/Wk |
| DS504P | Deep Learning & NLP Project Lab | 3 Hrs/Wk |
Semester 6
| Subject Code | Course / Paper Name | Weekly Hours |
|---|---|---|
| DS601 | AI Ethics, Governance & Model Deployment (MLOps) | 4 Hrs/Wk |
| DS602 | Industry Capstone Data Science Project | 6 Hrs/Wk |
| DS603 | Corporate Internship & Dissertation | 4 Hrs/Wk |
Career Opportunities & Placements
Graduates from this program are recruited by top tier corporations, consulting firms, technology enterprises, and healthcare providers:
Transit & Travel Guide for Faridabad Students
Fast Connectivity to Kalyan Nagar Campus:
| ✈️ By Air: | Frequent direct flights connecting New Delhi (DEL) to Bangalore (BLR) every 30-45 minutes. |
| 🚆 By Train: | Superfast Rajdhani and Duronto trains connecting New Delhi / Nizamuddin directly to Bangalore. |
| 🏡 Student Hostels: | Modern residential accommodation with air-conditioned/non-AC rooms, Wi-Fi, and North Indian cuisine. |
Frequently Asked Questions
What programming languages are taught in B.Sc. Data Science?
Students learn Python, R, SQL, and introductory Scala, along with machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, and Apache Spark.
Can students from non-computer science backgrounds apply?
Yes, as long as the student has studied Mathematics or Statistics at the 10+2 / Pre-University level, introductory bridge courses in programming are provided in the first semester.