Semester-wise Syllabi & Course Structure
COE Academic PortalThe curricula and semester syllabi for the Department of Data Science are formulated under autonomous academic regulations following Choice Based Credit System (CBCS) and Outcome-Based Education (OBE) guidelines set by UGC and Bharathidasan University.
| S.No | Semester | Course Code | Course / Subject Title | Category | Credits |
|---|---|---|---|---|---|
| 1 | Semester I | DSC101 | Introduction to Data Science & Mathematical Foundations | Core Course | 4 |
| 2 | Semester I | DSC102 | Python for Data Analysis & Scientific Computation | Core Course | 4 |
| 3 | Semester I | LAB101 | Python for Data Science Lab | Practical Lab | 2 |
| 4 | Semester II | DSC201 | Probability Distributions & Applied Statistics | Core Course | 4 |
| 5 | Semester II | DSC202 | Advanced SQL & Database Management Systems | Core Course | 4 |
| 6 | Semester II | LAB201 | SQL & Relational Database Lab | Practical Lab | 2 |
| 7 | Semester III | DSC301 | Exploratory Data Analysis & Data Wrangling | Core Course | 5 |
| 8 | Semester III | DSC302 | R Programming for Statistical Modeling | Core Course | 4 |
| 9 | Semester III | LAB301 | R Programming & EDA Lab | Practical Lab | 2 |
| 10 | Semester IV | DSC401 | Predictive Modeling & Statistical Machine Learning | Core Course | 5 |
| 11 | Semester IV | DSC402 | Data Warehousing, ETL Pipelines & Big Data | Core Course | 4 |
| 12 | Semester IV | LAB401 | Machine Learning & Big Data Lab | Practical Lab | 2 |
| 13 | Semester V | DSC501 | Business Intelligence & Data Visualization (Tableau/Power BI) | Core Course | 5 |
| 14 | Semester V | DSC502 | Time Series Analysis & Forecasting | Core Course | 4 |
| 15 | Semester V | LAB501 | BI & Interactive Dashboarding Lab | Practical Lab | 2 |
| 16 | Semester VI | DSC601 | Deep Learning & Natural Language Analytics | Core Course | 5 |
| 17 | Semester VI | DSC602 | Data Governance, Privacy, Ethics & Cloud Pipelines | Core Course | 4 |
| 18 | Semester VI | PRJ601 | Capstone End-to-End Data Science Project | Project Work | 4 |