Overview

The Bachelor of Science in Information Technology (BSIT) with a concentration in Artificial Intelligence (AI) program comprises 40 courses for a total of 180 quarter-hour credits. All UoNA bachelor’s degree courses are 4.5 quarter-hour credits.

As computer systems and networks become increasingly central to business, information technology professionals with the skills to install, configure, and troubleshoot these systems are essential for successful business operations.

The purpose of the BSIT with AI concentration program is to prepare students to acquire knowledge in theoretical and practical applications in computer hardware, software, and information systems, while specializing in the rapidly evolving field of AI. Students participate in intensive computer laboratory assignments, become skilled in solving research problems, and conducting oral and written presentations.

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Curriculum

General Education (14 Courses)

Course
Credit Hrs
ENGL 101 - Oral Communications
4.5
ENGL 102 - English Composition
4.5
ENGL 103 - Advanced Writing
4.5
DIGI 201 - Information Literacy in Contemporary Society
4.5
MATH 101 - College Algebra
4.5
MATH 102 - Calculus
4.5
QANT 301 - Statistics
4.5
SOSC 101 - Sociology
4.5
SOSC 102 - Psychology
4.5
SOSC 103 - Political Science
4.5
SOSC 201 - Law and Ethics
4.5
SOSC 202 - American Cultural Studies
4.5
SOSC 203 - World History – Ancient to 1750
4.5
SCIN 201 - Future Studies
4.5

Common Core (7 Courses)

BSAI 201 - Principles of Artificial Intelligence
4.5
INST 201 - Introduction to Information Systems
4.5
MGTM 110 - Business Communications
4.5
MGMT 201 - Principles of Management
4.5
MGMT 203 - Principles of Project Management
4.5
TECH 301 - Technology Management
4.5
RESH 401 - Research Methods
4.5

Program Core (10 Courses)

CMSC 200 - Discrete Mathematics
4.5
CMSC 201 - Design and Analysis of Algorithms
4.5
INST 202 - Data Communications and Networking
4.5
TECH 203 - Network Management and Infrastructure
4.5
INST 301 - Computer Hardware and Software
4.5
INST 302 - Computer Server Environment
4.5
INST 401 - Business Intelligence
4.5
CMSC 301 - Introduction to Programming Logics
4.5
CMSC 302 - Operating Systems
4.5
CMSC 304 - Software Engineering
4.5

AI Concentration (8 Courses)

BSAI 204 - Essential Applications for AI
4.5
BSAI 206 - Programming for AI Applications (Python)
4.5
BSAI 208 - Data Preparation and Feature Engineering for AI
4.5
BSAI 302 - Machine Learning for Applied Solutions
4.5
BSAI 304 - Applied Deep Learning and Generative AI
4.5
BSAI 402 - AI Systems Integration and Deployment
4.5
BSAI 404 - AI for Business and Organizational Applications
4.5
BSAI 406 - AI Product Development and Innovation
4.5

Capstone (1 Course)

CAPS 490 - Undergraduate Capstone
4.5