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Pathway to Computing

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GRADUATE CERTICATE

How do you enter the AI and computing field after college?

USF’s fully online 15-credit-hour Pathway to Computing Graduate Certificate is an AI career transition program designed for students from non-computing backgrounds who want to enter tech, AI, or cybersecurity fields.

This flexible graduate certificate builds core skills in programming, data structures, and algorithms, preparing you for both industry roles and graduate study such as a master's in artificial intelligence, computer science, or data intelligence.

No prior coding experience is required. It supports future study in areas such as AI or cybersecurity master's degrees.


What you will learn:

Core computing fundamentals including programming, data structures, algorithms, and computer systems are built into these hands-on courses. These are skills that prepare you for advanced AI study and tech careers.


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The PTC program is a focused, eight-course graduate certificate that provides a rigorous introduction to AI and computing for students without a technical background. Much of the coursework is grounded in mathematics to build confidence for entering a computing career or continuing on to a master's degree in artificial intelligence, data science or cybersecurity.
 
By completing the certificate, you gain priority admission to your choice of master's degree: USF's Master of Science in Artificial Intelligence program or USF's Master of Science in Data Intelligence, with no GRE required.

As part of a national effort to expand opportunities in the tech industry, USF encourages applicants from all backgrounds, especially women in STEM. With flexible, asynchronous courses designed for busy professionals, this certificate offers a practical, accessible route into computing.

Apply today to take the first step toward expanding your options for AI, data engineering, cybersecurity and more.
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A Bridge to Advanced Tech


USF’s PTC graduate certificate is an AI career transition program that provides a pathway into computing and AI graduate study, with priority admission (no GRE required) to USF master’s programs in engineering and artificial intelligence. 

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No Tech Degree Required


This program is designed for students with non-technical backgrounds, requiring no prerequisites or GRE, and builds foundational skills in Python, C programming, and data analysis for future study in computing and AI graduate programs.  

 

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Fully Online on Your Time


These are asynchronous, online courses that are ideal for busy adults who cannot attend on campus or attend set class times.

Students can complete this 15-credit-hour program in as little as two semesters if enrolled full-time. Part-time students can successfully complete the program in 3-5 semesters.

 

FOLLOW THIS LINK FOR OUR ONLINE BROCHURE

For more information about the Pathway to Computing Graduate Certificate, fill out the form at the bottom of this page to get immediate access to our in-depth online brochure about the program. The form will help us personalize information to guide you through your decision-making process.

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Erin Nolan

Online Success Coach

Schedule a Call

erinnolan@usf.edu

Pathway to Computing Graduate Certificate Courses

Courses

Click each course to read the description.

 


JING WANG, PHD
PROGRAM DIRECTOR, PATHWAY TO COMPUTING PROGRAM
PROFESSOR OF INSTRUCTION

Jing Wang is a professor of instruction in the department of computer science and engineering. She received her PhD in 2005 in electrical engineering and computer science from Vanderbilt University. Her research interests are computer animation, undergraduate computer science and engineering education, and broadening participation in computing. Throughout her career, Wang has been actively involved in the important mission of recruiting and mentoring women in computer science and engineering. She serves as the faculty advisor of Women in Computer Science and Engineering student organization since 2013.

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  • Spotlight Scroll Icon PTC_James Anderson

    James Anderson, PhD

    Associate Professor of Instruction

    Blockchain Technology
    Supply Chain Improvement
    Programming Languages
    Engineering Design
    Software Engineering
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  • Spotlight Scroll Icon PTC_Isabela M. Hidalgo

    Isabela M. Hidalgo, PhD

    Assistant Professor of Instruction

    Human-Computer Interactions
    Programming Languages
    Databases
    Programming Courses
    Computer Science and Engineering
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  • Spotlight Scroll Icon PTC_Alessio Gaspar

    Alessio Gaspar, PhD

    Associate Professor

    Evolutionary Algorithms
    Computer Assisted Learning
    Python
    Linux Technologies
    Operating Systems
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  • Spotlight Scroll Icon PTC_Marbin Pazos-Revilla

    Marbin Pazos-Revilla, PhD

    Assistant Professor of Instruction and Systems Administrator

    Cybersecurity
    Internet of Things
    Programming Languages
    Computer Networks
    Virtualization and Cloud Computing
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  • Spotlight Scroll Icon PTC_Shaun Canavan

    Shaun Canavan, PhD

    Associate Professor

    Biometrics
    Image Processing
    Pattern Recognition
    Computer Vision
    Data Structures and Algorithms
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  • Spotlight Scroll Icon PTC_Srinivas Katkoori

    Srinivas Katkoori, PhD

    Professor

    VLSI Design and CAD
    Embedded Systems
    Hardware Security
    Electronic Design Automation
    Computer System Design
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  • Spotlight Scroll Icon PTC_Ken Christesen

    Ken Christensen, PhD

    Professor and Associate Chair of Undergraduate Affairs

    Energy-Efficient Computing and Communications Systems
    Improving Communications Storage
    Distribution
    Use of Energy in Small Grids
    Computer Networks
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Projected to Grow

According to the U.S. Bureau of Labor Statistics, "overall employment in computer and information technology occupations is projected to grow much faster than the average for all occupations from 2023 to 2033.

  • About 356,700 openings are projected each year, on average, in these occupations due to employment growth and the need to replace workers who leave the occupations permanently."

Similarly, "employment of computer and information research scientists is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations."

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Average Salaries

The Pathway to Computing Graduate Certificate can be your first AI programming experience, leading to enhanced career opportunities and significant salary growth.

According to Gray Intelligence, the average salary for computer science roles among individuals who have completed post-baccalaureate education exceeds $110,000. According to the U.S. Bureau of Labor Statistics (2024), the annual median salary for Computer Information and Research Scientists is approximately $140,000.

According to March 2026 average salary data from Indeed.com, job titles related to artificial intelligence careers and other positions that would benefit from the foundation built in the Pathway to Computing Graduate Certificate include:

  • Principal Software Engineering Manager - $218,474
  • Machine Learning Engineer - $186,878
  • AI Developer - $151,490 
  • AI Architect - $148,486
  • Full Stack Developer - $134,046 
  • Software Engineer - $131,346
  • Finance Manager - $119,319 
  • IT Systems Engineer - $103,379 
  • App Developer - $97,070
 
 

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