The University of Phoenix’s online Bachelor of Science in Data Science program has been ranked No. 8 on TechGuide’s 2026 list of Best Online Bachelor’s in Data Science Programs. This marks the second year in a row the program has received this recognition.
Recognition Reflects Program Quality
The ranking, released February 10, 2026, considers academic quality, support for working adult learners, and a curriculum designed to build career-relevant skills. TechGuide’s evaluation uses data from the Integrated Postsecondary Education Data System (IPEDS) and College Navigator, along with tuition and program criteria.
A 2025 McKinsey report indicates organizations are facing challenges in filling data science and analyst roles, leading them to focus on reskilling and upskilling initiatives.
Industry-Informed Curriculum
University of Phoenix designs its curriculum in collaboration with labor market researchers, Industry Advisory Councils, and faculty experts to map employer-valued skills. Student progress is tracked through an individual Skills Profile within the Career Navigator, allowing students to showcase their competencies.
Kathryn Uhles, MSP, MIS, dean of the College of Business and Information Technology at University of Phoenix, stated that the ranking “reflects the strength of our data science program and the real‑world skills it helps students develop.”
Frequently Asked Questions
What criteria did TechGuide use for its ranking?
TechGuide evaluates programs using Integrated Postsecondary Education Data System (IPEDS) and College Navigator data, along with tuition and program criteria.
What is University of Phoenix doing to align its curriculum with industry needs?
University of Phoenix collaborates with labor market researchers, Industry Advisory Councils and faculty experts to identify and map employer‑valued skills throughout the curriculum.
What resources are available to students in the program?
Students have access to a Skills Profile within the Career Navigator, allowing them to highlight new competencies and apply them in their work settings.
As the demand for data science skills continues to grow, how will institutions adapt to meet the evolving needs of both students and employers?
