Information Technology Concentration

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In today’s world, Information Technology (IT) is a primary component in many product and process innovations. Organizations need leaders with the knowledge and skills necessary to manage digital technology, artificial intelligence, and the use of IT to produce business value. The Information Technology concentration prepares students to become business analysts and consultants ready to apply their skills in project and product management, data analytics, artificial intelligence, and other leading-edge technologies to solve business problems in accounting, finance, marketing, management, entrepreneurship, and international business. Course topics in the IT concentration include project and product management, business analytics, database design and management, artificial intelligence, consulting, fintech, digital innovation, big data, and cybersecurity. IT concentrators are also offered an opportunity for an immersive technology-focused experience in international locations such as Argentina.

Academic Requirements

To complete the IT concentration students must take COMM 3200 and COMM 3220 (in either the third or fourth year) plus three credits of approved IT courses from the courses listed below:

Third Year - Required

COMM 3200 - Project and Product Management Credits: 3 *
COMM 3220 - Data Management for Decision Making Credits: 3 *
* May be taken in Fourth Year

Fourth Year

Select an additional 3 credits from the following list:

COMM 4230 - Fintech: Information Technology in Finance Credits: 3
COMM 4520 - Topics in Information Technology Credits: 1 to 3
Approved Topic: Data Exploration and Visualization with R

Approved Topic: Open Source Innovation for Global Challenges

Approved Topic: Ethical Application of Artificial Intelligence

Approved Topic: Managerial View of AI

Approved Topic: Inventing the Future: Technology’s Impact on Business and Society
COMM 4263 - Cybersecurity as a Business Risk 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
COMM 4529 - Global Commerce Immersion: Topics in Information Technology Credits: 3
(Courses are subject to change)