Purdue University Northwest

What you'll study

Coursework builds from core AI and machine learning concepts toward advanced, specialized topics. Example courses listed by the program include:

• IT 50700 – Measurement And Evaluation In Industry And Technology
• IT 50800 – Quality And Productivity In Industry And Technology
• ITS 52000 – Applied Machine Learning
• ITS 53000 – Practical Deep Learning
• ITS 53100 – High Performance Computing And Big Data
• ITS 62000 – Cyber Security and Machine Learning
• ITS 66600 – Advanced Data Visualization Techniques
• TECH 64600 – Analysis Of Research In Industry And Technology

The program describes a two-year progression: year one establishes foundational AI and machine learning courses; year two allows deeper study through advanced coursework or the option of a directed project or thesis.

Entry requirements

• Baccalaureate degree from a college or university of recognized standing.
• Completion of studies equivalent to those required of PNW baccalaureate recipients.
• A B or better average in the undergraduate major.

Career prospects

The program prepares graduates for technical roles that apply AI methods in industry. Job titles the program highlights include:

• Artificial Intelligence Engineer
• Data Scientist/Engineer
• Machine Learning Engineer
• Software Engineer

PNW notes employers where graduates from its technology master’s programs have been employed, including Amazon, Meta, Microsoft, Google and CDW.

Scholarships & funding angle

The program page does not list specific scholarships. Prospective applicants should contact PNW graduate studies or the College of Technology for information on assistantships, institutional funding, employer partnership opportunities and external scholarships that may support graduate study.