Artificial Intelligence—How WGU is Making an Impact
Artificial Intelligence (AI) is changing the way we live and work. It helps systems and machines learn, adapt, and make decisions - powering tools like apps that recommend movies, online assistants that answer questions, and programs that predict trends. AI is the smart technology behind the scenes, helping solve problems and improve the world around us.
At WGU, we’ll help you understand how AI works and where it fits into your future. Whether you’re just getting started or ready to focus on a specific career, our offerings are designed to meet you where you are. Let us help you build the skills to create a future that embraces the power of AI.
AI Career Pathways Based on Your Interest
CAREER PATH 1
Entry Level: Software Engineer
Mid Level: Infrastructure Engineer
Advanced Level: Solutions Architect
Expert Level: Visionary Leader
CAREER PATH 2
Entry Level: Software Engineer
Mid Level: Systems Engineer
Advanced Level: Solutions Architect
Expert Level: Visionary Leader
CAREER PATH 3
Entry Level: Research Scientist
Mid Level: AI/ML Engineer
Advanced Level: Decision Engineer
Expert Level: Research Pioneer
CAREER PATH 1
Entry Level:
Business Analyst
Mid Level:
Data Strategist
Advanced Level:
Digital Transformation Leader
Expert Level:
Chief Officer, Ethics Innovator
CAREER PATH 2
Entry Level:
Risk and Governance Specialist
Advanced Level:
Operational AI Leader
Expert Level:
Strategy Consultant
CAREER PATH 3
Entry Level:
Risk and Governance Specialist
Advanced Level:
Compliance Officer
Expert Level:
Chief Scientist
CAREER PATH 1
Mid Level:
Product Manager
Advanced Level:
Decision Engineer
Expert Level:
Research Pioneer
CAREER PATH 2
Mid Level:
Data Scientist
Advanced Level:
Digital Transformation Leader
Expert Level:
Chief Officer, Ethics Innovator
CAREER PATH 3
Mid Level:
Data Scientist
Advanced Level:
Decision Engineer
Expert Level:
Research Pioneer
CAREER PATH 4
Mid Level:
Product Manager
Advanced Level:
Digital Transformation Leader
Expert Level:
Chief Officer, Ethics Innovator
AI COURSE
SAMPLE AI CAREERS
DEGREE OPTIONS AT WGU WITH AI INTEGRATION
The curriculum in several of our IT programs is designed to respond to the need of increased AI integration in the tech sphere. Several courses in these programs have artificial intelligence components that help students gain experience in skill in AI, machine learning, and more.
Technology
Software Engineering – B.S.
You're a creative and tech genius who wants the bigger opportunities....
You're a creative and tech genius who wants the bigger opportunities.
- Time: 60% of graduates finish similar programs within 35 months.
- Tuition: $4,085 per 6-month term.
- Courses: 36 or 38 total courses in this program depending on your track.
Certifications included in this program at no additional cost are:
- CompTIA Project +
- AWS Certified Cloud Practitioner
- ITIL®1 Foundation Certification
You can also accelerate your program and complete both a B.S. in Software Engineering and an M.S. in Software Engineering together, requiring less courses overall and saving you time and money. Learn more about this option.
Skills for your résumé that you will learn in this program:
- Scripting and programming
- Web development
- Mobile application development
- User experience design
- Software quality assurance
Technology
Computer Science – B.S.
Problem solvers and math lovers needed! Your task:...
Problem solvers and math lovers needed! Your task:
Lay the groundwork for the computing breakthroughs that will enable tomorrow's technologies. Utilize your previous college courses or IT experience to help you complete your degree faster.
- Time: 60% of graduates in similar programs finish within 24 months.
- Tuition: $4,085 per 6-month term.
- Courses: 37 total courses in this program.
You'll have the opportunity to earn these certifications:
- Linux Essentials
- Axelos ITIL Foundation
You can also accelerate your program and complete both a B.S. in Computer Science and an M.S. in Computer Science together, requiring less courses overall and saving you time and money. Learn more about this option.
Skills for your résumé that you will learn in this program:
- Artifical Intelligence (AI)
- Machine Learning
- Logic
- Architecture and systems
- Data structures
- Computer theory
- Version Control
- Linux
Technology
Data Analytics – B.S.
Lean into data, and walk away with a cutting-edge online degree:...
Lean into data, and walk away with a cutting-edge online degree:
- Time: 62% of graduates finish within 36 months.
- Tuition and fees: $3,835 per 6-month term.
- Courses: 39 total courses in this program.
Certifications in this program at no additional cost include:
- AWS Cloud Practitioner
- CompTIA Data+
- CompTIA Project+
- Udacity Nanodegree—a unique, highly recognized credential designed to prepare you for a career in data science
- MSI Change Management (Optional Certification)
- Certiprof Design Thinking Professional Certificate (Optional Certification)
Skills for your résumé that you will learn in this program:
- Data management
- Data wrangling
- Statistical analysis
- Visualization
- Leadership and management
- Model deployment & storytelling
Technology
Data Analytics – M.S.
Lead businesses with strong analysis skills:...
Lead businesses with strong analysis skills:
- Time: 61% of graduates finish within 20 months.
- Tuition: $4,520 per 6-month term.
- Courses: 11 total courses in this program.
This program consists of three specialization areas which allow you to gain specific experience and skills that will benefit your future career. You can choose from data science, data engineering, and decision process engineering specializations to enhance your degree.
Skills for your résumé that you will learn in this program:
- Data Modeling
- Big Data
- Business Intelligence
- Data Quality
- SQL
- Python
AI Articles
