Business Analytics

Name Title Credits School
BUSA 301 Data Acquisition, Injection and Preparation, and Visualization 3 School of Management
This course covers key aspects of data management, focusing on AI-powered data acquisition, preparation, and visualization. Students will learn how to leverage AI tools to collect data from diverse sources, including textual sources such as social media and company reports, and use AI-driven methods to clean data efficiently. The course also emphasizes using AI-enhanced visualization tools to create insightful representations that help stakeholders identify patterns and trends. Through hands-on projects, students will apply these tools to solve real-world business challenges.

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

BUSA 305 Python for Business Analytics 3 School of Management
This course discusses applications of business analytics using Python to strengthen data-driven decision-making across various business functions. Students will explore AI-powered tools to enhance data mining, predictive analytics, and decision-making processes. Through practical projects, students will apply these techniques to real-world business challenges using AI-assisted solutions, for better decision-making.

Prerequisite Course(s): Prerequisites: QANT 201

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

BUSA 310 Database Management Systems 3 School of Management
This course provides an introduction to contemporary database management systems, with a focus on AI-enhanced database technologies. The students will learn current developments in database theory and practice. They will design, implement, and manage databases while using AI tools for query optimization, data modeling, and performance tuning.

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

BUSA 410 Web and Social Media Analytics 3 School of Management
This course discusses applications of business analytics in the domain of web and social media. The students will develop social media data mining skills such as sentiment analysis and text mining using Python programming language. They will also develop a managerial understanding of web analytics measures and web performance optimization through Google Analytics.

Prerequisite Course(s): Prerequisites: BUSA 305

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