Curriculum Requirements

Advanced Certificate in Business Analytics

Academics > Degrees > Business Analytics, Advanced Certificate > Curriculum

Major Requirements

Business Analytics Credits:
BUSA 701 Data Interaction and Visualization 3
This course will provide students with understanding and proficiency in data interaction and visualization. Students will use tools like Tableau and Power BI for data wrangling, visualization, and dashboard design, transforming raw data into actionable insights. Emphasizing project-based learning, the course includes AI-assisted data analysis and storytelling to solve real-world business challenges and enhance decision-making.

Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 705 Predictive Analytics 3
Prerequisite: Prerequisites: QANT 501 or permission of the chair

The course provides the application of foundational topics for supervised learning algorithms such as Multiple Linear Regression, Logistics Regression, Nearest Neighbors, Decision and Regression Trees, Discriminant Analysis, Neural Networks, and Ensemble Methods. It first builds a sound understanding of data preparation, exploration, and reduction methods. This course covers prediction as well as classification processes. The emphasis is on learning the application of different machine learning techniques for decision-making situations across business domains rather than mastering the techniques' mathematical and computational foundations.

Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MIST 725 Fundamental Tools for Data Science 3
Prerequisite: Prerequisite: MIST 501

This course provides a comprehensive foundation in database management systems (DBMS) and data science tools, emphasizing AI-enhanced methodologies for modern business applications. Students will explore relational databases, SQL, Python programming, and business analytics, focusing on leveraging AI to optimize database design, data analytics, and visualization, through hands-on projects. This course prepares students to address real-world business challenges using innovative AI-infused data science solutions.

Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
    Total: 9 Credits