COURSE CURRICULUM

The Data Analytics program offers a comprehensive curriculum designed to equip students with essential skills in statistics, mathematics, business technology, and data analysis. The program begins with foundational courses such as STAT 1100 Descriptive Statistics and MATH 1360 Business Mathematics, which help students develop basic analytical and quantitative skills. CSIS 1500 Introduction to Business Technologies introduces students to the technological tools commonly used in business environments.As students progress, they delve into data-specific coursework. CSIS 1700 Data Exploration introduces the fundamental techniques for understanding and working with data. CSIS 2300 Electronic Commerce provides insights into the digital business landscape, while CSIS 2500 Introduction to Data Science lays the groundwork for understanding the data science field and its applications. CSIS 2800 Data Visualization Fundamentals focuses on presenting data in a clear and impactful way, using visual tools and techniques.Advanced courses deepen the students’ technical abilities. CSIS 3300 R Programming for Data Analytics teaches programming skills in R, a language widely used in statistical analysis and data science. CSIS 3410 Information Analysis helps students understand the methods used to interpret and make sense of data. CSIS 3700 Data Analytics Methods explores various analytical models and techniques used in solving real-world problems.The program also covers key infrastructure and systems. CSIS 4300 Database Systems introduces database design and management. CSIS 4310 Decision Support Systems examines tools and systems that assist in organizational decision-making. CSIS 4320 Data Warehousing teaches how to organize large datasets for analytical use. Finally, CSIS 4330 Machine Learning for Data Analytics introduces algorithms and models used in predictive analytics and automated decision-making.Together, these courses provide a well-rounded education in data analytics, preparing students for roles in data science, business intelligence, and analytics-driven decision making across industries.