Artificial Intelligence & Machine Learning
Overview
Degrees Offered: AAS
Program Begins: Fall, Spring, Summer
Delivery Method: Online, On Campus
Phone: 701-224-2429
Email: bsc.cet@bismarckstate.edu
Description
The Artificial Intelligence (AI) & Machine Learning program curriculum focuses on artificial intelligence (including AI for business solutions and other applications), natural language processing, computer vision, computer programming (Python), machine learning, math, engineering, and statistics. It also spotlights building machine learning models that can predict, make decisions, and enhance human capabilities.
Program Certificate Options
The following Program Certificates may be completed independently or alongside the Artificial Intelligence and Machine Learning program:
- Artificial Intelligence & Machine Learning Specialist
- Business End User Security
- Security and Hacking
- Computer Networking
- Offensive and Defensive Security
- Modern Computing Technologies
- Secure Programming
Preparation
Students might consider high school courses in algebra, computers, and statistics to assist them in college study. However, these courses are not mandatory for enrollment.
Requirements
Students who complete the curriculum requirements can earn an Associate in Applied Science degree in Artificial Intelligence & Machine Learning.
Program Pathways
Credits from the Artificial Intelligence & Machine Learning Associate in Applied Science may stack into the following Bachelor of Applied Science degrees:
Career Opportunities
Demand for AI skills is expected to grow exponentially over the next three to five years and drive a need for workers to learn new technical skills across industries. Career opportunities exist as machine learning researcher, AI engineer, data mining and analysis, machine learning engineer, data scientist, business intelligence (BI) developer, and computer systems analyst.
Program Outcomes
Upon graduation, Artificial Intelligence & Machine Learning students will be able to:
- Apply common artificial intelligence (AI) concepts and methodologies, including Neural Networks/Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, and Data Science, for analysis and decision making.
- Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
- Use appropriate programming languages to implement artificial intelligence (AI) solutions.
- Communicate in varied settings, orally and visually, and in writing, in a culturally responsive manner.
- Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions.