COURSE CURRICULUM

Data Analytics program offers a comprehensive mix of mathematics, statistics, and computer science to equip you with the skills to analyze complex datasets and make data-driven decisions. In your first year, you will build a strong foundation through core courses such as Calculus I, Introduction to Programming, Introductory Linear Algebra with Applications, Data Structures I, and Introduction to Data Analytics. You will also explore business fundamentals through courses like Introduction to Business Principles for Entrepreneurs or Understanding the Business Environment, and strengthen your mathematical reasoning with Foundations and Applications of Mathematics or Introduction to Mathematical Proofs. Electives allow you to broaden your knowledge in areas such as microeconomics, macroeconomics, environmental studies, or the history of computing.As you advance, upper-year courses focus on applying analytical techniques to real-world problems. You will study Discrete Mathematics, Probability, Computational Methods for Data Analysis, Regression Analysis, Statistical Learning, Data Visualization, Machine Learning, and Data Mining. This progression ensures you develop both the theoretical foundation and practical expertise required to extract insights from large datasets. By integrating coursework across natural sciences, social sciences, arts, and business, the program prepares you for diverse careers in finance, marketing, health care, technology, and government, where data-driven decision-making is crucial.