UG CSE – Data Science
Transforming complex multi-variant data streams into intelligent systems and predictive analytics pipelines.
Course Track Overview
This engineering concentration provides deep immersion into quantitative data modeling, predictive analysis metrics, cloud clustering, and enterprise data lake structures.
Course Overview
- Core Concepts of Data Science
- Statistics & Probability for Data
- Machine Learning Fundamentals
- Big Data Analytics
- Data Engineering Principles
- Ethics in Data Science Protocols
Tools & Technologies Used
- Python, R programming, and SQL querying
- TensorFlow, PyTorch deep compilation labs
- Hadoop & Apache Spark ecosystem infrastructure
- Power BI & Tableau reporting suites
- Jupyter Notebook runtime development environments
- Scikit-Learn, Pandas arrays, and NumPy execution
Skills You Will Develop
- Data Wrangling & Complex Cleansing Transformations
- Exploratory Data Analysis Algorithms
- Predictive Modeling & Statistical Inference
- Business Intelligence Reporting Systems
- Real-World Industrial Problem Solving
- AI-Powered Process Automation
Career Options
Data Analyst Manager
Enterprise Data Scientist
Business Intelligence Developer
AI & Data Pipeline Engineer
Quantitative Asset Analyst
Research Scientist node
Academic Outlines
Electives Offered
Blockchain for Security, Cloud Data Platforms, IoT Networks, Advanced NLP, Time Series.
Duration & Stream
4 Years (Undergraduate Tech Engineering degree status)
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