UG CSE – Data Science
Transforming complex multi-variant data streams into intelligent systems and predictive analytics pipelines.[cite: 4]
Course Track Overview
This engineering concentration provides deep immersion into quantitative data modeling, predictive analysis metrics, cloud clustering, and enterprise data lake structures.[cite: 4]
Course Overview
- Core Concepts of Data Science[cite: 4]
- Statistics & Probability for Data[cite: 4]
- Machine Learning Fundamentals[cite: 4]
- Big Data Analytics[cite: 4]
- Data Engineering Principles[cite: 4]
- Ethics in Data Science Protocols[cite: 4]
Academic Regulations
R23 Regulations
Comprehensive course layout structural matrix, credit allocation limits, assessment frameworks, and dynamic engineering evaluation metrics for ongoing batches.
R26 Regulations
Next-generation curriculum optimization structural maps introducing advanced laboratory arrays, industry-aligned tech matrices, and updated parallel research loops.
Tools & Technologies Used
- Python, R programming, and SQL querying[cite: 4]
- TensorFlow, PyTorch deep compilation labs[cite: 4]
- Hadoop & Apache Spark ecosystem infrastructure[cite: 4]
- Power BI & Tableau reporting suites[cite: 4]
- Jupyter Notebook runtime development environments[cite: 4]
- Scikit-Learn, Pandas arrays, and NumPy execution[cite: 4]
Skills You Will Develop
- Data Wrangling & Complex Cleansing Transformations[cite: 4]
- Exploratory Data Analysis Algorithms[cite: 4]
- Predictive Modeling & Statistical Inference[cite: 4]
- Business Intelligence Reporting Systems[cite: 4]
- Real-World Industrial Problem Solving[cite: 4]
- AI-Powered Process Automation[cite: 4]
Career Options
Academic Outlines
Electives Offered
Blockchain for Security, Cloud Data Platforms, IoT Networks, Advanced NLP, Time Series.[cite: 4]
Duration & Stream
4 Years (Undergraduate Tech Engineering degree status)[cite: 4]
