Program Objective

The Master of Science in Data Analytics (MSDA) program equips students with in-demand skills in data science, machine learning, and business intelligence. Emphasizing real-world applications, the program prepares graduates to extract insights from complex data sets and drive data-informed decision-making across industries.

Program Details

Duration: 1–2 years (Full-time / Part-time)

Format: On-campus / Online / Hybrid

Eligibility: Bachelor’s degree in computer science, mathematics, statistics, or related field

Credit Hours: Typically 36–48 credits

Core Curriculum Includes

Data Mining & Warehousing

Statistical Modeling & Inference

Big Data Analytics

Machine Learning Applications

Data Visualization

Predictive Analytics

Programming in Python/R

Ethics in Data Science