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The BAS in Information Systems and Technology (IST), Artificial Intelligence Concentration provides graduates with a broad base of theoretical, technical and specialized knowledge in artificial intelligence.
Develop skills and understanding to apply statistical algorithms to AI applications, natural language processing, perform usability testing and evaluate results of human-AI interactions.
- AI Software Developer
- AI Software Engineer
- Machine Learning Developer
- Data Visualization Specialist
- AI/ML Specialist
- And More…
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The pandemic and Great Resignation has a lot of folks reconsidering their careers, and high-tech continues to be a fast-growing field. Our AI-focused bachelor’s provides those transitioning to a different career, a low-cost, high value degree opportunity so they can be eligible for high-paying careers in AI.” – Dena Laney Program Chair
Academic Pathways (Admission Requirements)
AAS-T Robotics & AI Degree
Best for: students without any outside credits to transfer in
The Associate of Applied Science-Transfer (AAS-T) degree in Robotics & AI seamlessly prepares students for admission into the BAS Artificial Intelligence program.
Upon completion of the AAS-T students will have all of the prerequisites to be eligible to start on the bachelor’s degree, and can apply all 90 credits to the 180 credit program.
It typically takes an additional two years for students to complete the remaining Bachelor’s coursework at a full-time status.
Other BC Programs and Transfer Degrees
Best for: students with outside credits to transfer in
Students may be admitted into the BAS Artificial Intelligence program without the associate degree in Robotics & AI after completing the 65 equivalent credits that represent the combination of specific program prerequisite courses and other college-level credits.
General Education Prerequisites: ENGL& 101, ENGL 201 or ENGL& 235 or ENGL 271, Natural Science LAB, MATH& 138 or higher and 20 Credits of Electives
Technical Prerequisites: BUSIT 103, PROG 108, PROG 120, NSCOM 231 and ROBAI 240
Application Development vs. Artificial Intelligence
Many students interested in software development have questions about application development and artificial intelligence. Check out their similarities and differences and choose the path that’s best for you.
- More of a “generalist” software development degree
- Focus areas: Full stack web development/Mobile Apps
- Highest level of math: College-level algebra
- More of a “specialized” software development degree
- Focus areas: Data modeling, ML, cognitive computing, and NLP
- Highest level of math: College-level algebra and applied statistics
- Students use: Python, Python libraries, SQL
Application Development and AI share the same general education program prerequisite requirements including ENGL& 101, ENGL 201 or ENGL& 235 or ENGL 271, Natural Science LAB, MATH& 138 or higher, and 20 Elective Credits, but require different technical prerequisites for each concentration.
Technical Prerequisites App Dev
- PROG 109 Introduction to Web Development
- PROG 110 Introduction to Programming
- PROG 120 Object Oriented Programming Concepts (C#)
- PROG 123 Server-Side Web Development
- PROG 209 Client-Side Web Programming
Technical Prerequisites AI
- BUSIT 103 SQL Fundamentals
- PROG 108 Introduction to Scripting
- PROG 120 Object Oriented Programming Concepts (Python)
- NSCOM 231 Introduction to Cloud Architecture and Services
- ROBAI 240 Programming for Machine Learning
Last Updated January 21, 2022