Business Analytics Track

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Overview

The Business Analytics Track is designed to provide students with broad, interdisciplinary knowledge and skills that help managers leverage analytics and artificial intelligence (AI) to improve performance and decision-making. Students will learn practical skills necessary to manage and analyze data, using tools ranging from visualization, to statistics and machine learning, to AI. This will prepare students to create meaningful data-driven insights for diverse audiences, as well as manage products that use data to produce outcomes across organizations.

Eligibility

The Business Analytics Track is open to all Commerce students whose academic requirements allow them the flexibility to take the required 12 credit hours.

Curriculum

Required Courses (9 credits)

COMM 3220 - Data Management for Decision Making Credits: 3
COMM 3330 - Marketing Research & Analytic Techniques Credits: 3
COMM 4522 - Topics in Business Analytics Credits: 3
Approved Topic: Foundations of Machine Learning and AI with Python

Approved Topic: Foundations of Machine Learning and AI with Low Code Credits / Units: Credits: 3

Electives (3 credits)

COMM 4230 - Fintech: Information Technology in Finance Credits: 3
COMM 4263 - Cybersecurity as a Business Risk Credits: 3
COMM 4350 - Customer Analytics & Brand Strategy Credits: 3
COMM 4351 - Marketing Analytics for Big Data Credits: 3
COMM 4371 - Strategic Brand Consulting and Communications Credits: 3
COMM 4380 - Consumer Behavior and Marketing Strategy Credits: 3
COMM 4559 - New Course in Commerce Credits: 1 to 4
Approved Topic: Data Exploration and Visualization with R

Approved Topic: Ethical Application of Artificial Intelligence

Approved Topic: Managerial Use of Artificial Intelligence Credits / Units: Credits: 3
COMM 5140 - Accounting for Decision Making and Control Credits: 3