This interdisciplinary program merges Computer Science, Mathematics/Statistics, and Domain/Business Knowledge to extract actionable insights from large, complex data sets to optimize organizational processes. It prepares graduates for high-impact roles as data science leaders, consultants, and educators who can design innovative, data-driven solutions for government, industry, and the academe. By focusing on deep analytical and technical skills like machine learning and big data, the program equips future leaders to address real-world challenges and contribute to national development.
The Master of Data Science program is designed to provide students with a structured and comprehensive learning journey over two academic years. It combines foundational knowledge, practical skills, and advanced concepts in a progressive manner, ensuring that students develop the expertise needed to excel in the rapidly evolving field of data science. The curriculum includes a balanced mix of coursework, assessments, and a culminating capstone project that integrates theoretical understanding with real-world application.
First Year, First Semester
Mathematics for Data Science
Programming for Data Science
Introduction to Data Science
Data Visualization and Storytelling
First Year, Second Semester
Machine Learning I
Data Mining and Wrangling
Statistics for Data Science
Data Science and Business Thinking
First Year, Summer
Comprehensive Exam
Second Year, First Semester
Machine Learning II
Big Data
Research Methods for Data Science
Second Year, Second Semester
Capstone Project
Download Program of Study here.