B.Sc Honors (Data Science)
A rigorous blend of statistics, programming, and data engineering � equipping students to extract actionable insights from complex datasets in modern enterprise environments.
Program Overview
The B.Sc Honors in Data Science is designed for students who want to harness the power of data to make impactful decisions. This program provides a strong interdisciplinary foundation spanning mathematics, statistics, computer science, and domain expertise, enabling graduates to work across industries from healthcare and finance to e-commerce and research.
Students engage with real datasets, build predictive models, design dashboards, and deploy machine learning solutions � gaining practical skills that are immediately applicable in data-driven organizations.
Core Curriculum
Statistics & Probability
Descriptive statistics, probability theory, hypothesis testing, regression analysis, and Bayesian inference.
Python & R for Data Analysis
Data wrangling with Pandas, visualization with Matplotlib/Seaborn, and statistical computing with R.
Machine Learning Fundamentals
Linear and logistic regression, decision trees, ensemble methods, model evaluation and tuning.
Big Data Technologies
Hadoop, Spark, Hive, and cloud data platforms (AWS, GCP, Azure) for large-scale data processing.
Data Visualization & BI
Dashboard creation with Tableau, Power BI, and Plotly for communicating data-driven insights.
Database Management & SQL
Relational databases, advanced SQL queries, ETL pipelines, and data warehousing principles.
Career Pathways & Opportunities
Data Science graduates are among the highest-paid professionals globally:
- Data Scientist
- Data Engineer
- Business Intelligence Analyst
- Data Analyst at MNCs
- ML Ops Engineer
- M.Sc Data Science / MBA
Quick Facts
Tools & Technologies
- ? Python, R, SQL
- ? Pandas, NumPy, Scipy
- ? Tableau & Power BI
- ? Apache Spark & Hadoop
- ? Cloud Platforms (AWS/GCP)
- ? Scikit-learn & XGBoost