Cutting-edge program bridging computer science and statistics. Covers data analysis, machine learning, statistical modeling, and big data technologies. Students work with real-world datasets and industry tools. Career paths include data scientist, analyst, and machine learning engineer.

Year 1 - Semester 1

• DS101: Programming for Data Science (Python)
• DS102: Introduction to Statistics
• MATH101: Calculus for Data Science
• DS103: Database Systems
• DS104: Data Visualization

Year 1 - Semester 2

• DS105: Data Structures and Algorithms
• DS106: Probability Theory
• DS107: Linear Algebra
• DS108: Data Wrangling
• DS109: Statistical Computing (R)

Year 2 - Semester 1

• DS201: Machine Learning Fundamentals
• DS202: Statistical Modeling
• DS203: Big Data Technologies
• DS204: Data Mining
• DS205: Deep Learning Basics

Year 2 - Semester 2

• DS206: Natural Language Processing
• DS207: Time Series Analysis
• DS208: Cloud Computing for Data Science
• DS209: Business Analytics
• DS210: Experimental Design

Year 3 - Semester 1 Specialization Tracks (choose one):

Analytics Track:

• DS301: Advanced Business Analytics
• DS302: Marketing Analytics
• DS303: Financial Analytics
• DS304: Supply Chain Analytics
• DS305: HR Analytics

ML Engineering Track:

• DS311: Advanced Machine Learning
• DS312: Deep Learning Applications
• DS313: Computer Vision
• DS314: MLOps
• DS315: AI Ethics

Year 3 - Semester 2

• DS401: Capstone Project
• DS402: Industry Internship
• DS403: Data Science Ethics
• DS404: Advanced Visualization
• DS405: Emerging Technologies in Data Science