Business Analytics Track

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Overview

Business Analytics Track is designed to provide students with broad, interdisciplinary knowledge and skills that help managers leverage analytics to improve performance and decision-making. Students will learn practical research skills necessary to design, create, and analyze data sets as well as to report meaningful insights to diverse audiences. Students will appreciate the challenges and opportunities facing a wide array of commercial enterprises that rely on analytics to make key strategic decisions.

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 - Database Management Systems and Business Intelligence Credits: 3
COMM 3330 - Marketing Research & Analytic Techniques Credits: 3
COMM 4522 - Topics in Business Analytics Credits: 3
Approved Topic: Business Analytics with Python

Approved Topic: Business Analytics with Rapid Miner

Approved Topic: Business Analytics w/ Low-Code Technologies

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
COMM 5140 - Accounting for Decision Making and Control Credits: 3