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Pathway to Computing

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GRADUATE CERTICATE

How do you enter the computing field after college?

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Are you considering transitioning into the computer science field but don’t have the technical skills yet? Our fully online 15-credit-hour Pathway to Computing Graduate Certificate is designed for individuals from various academic backgrounds looking to transition into the computer science field. Whether you're a college graduate in a non-computing field or a professional looking to break into tech, this program provides the foundational skills you need to start your journey toward qualifying for positions in the booming tech job market or preparing to enroll in a graduate-level computer science program. No prior experience or coding knowledge is required – we’ll teach you everything from discrete structures to object-oriented design to algorithms.

This program will prepare you to gain admission into graduate-level computer science programs or to qualify for positions in the booming tech job. This is an ideal pathway for anyone looking to shift into the rapidly growing field of computing.

What you will learn: Essential computing courses, including topics like data structures, programming, algorithms, and computer systems.

By completing the certificate, you gain priority admission to your choice of master's degree: USF's Master of Science in Computer Science program or USF's Master of Science in Data Intelligence, with no GRE required. If you don't feel ready to commit to a full master's program, the PTC graduate certificate qualifies you to be accepted in the Artificial Intelligence Graduate Certificate program, which requires the technical foundation you build in the PTC program.

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 a new career in tech.

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A Bridge to Advanced Tech


USF's PTC graduate certificate is an ideal way to launch a tech career. 

This bridge program will help you gain priority admission into USF’s Master of Science in Computer Science and Master of Science in Data Intelligence programs, with no GRE required. If you're not ready for a master's degree, continue to USF's Artificial Intelligence Graduate Certificate.

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No Tech Degree Required


This computer science program was created for those with unrelated bachelor's degrees. Participants aren't required to have a technology-based background. This program has no computer science prerequisites, and does not require GRE scores for admission. 

The Pathway to Computing graduate certificate provides a curriculum centered around the foundations of Python, data analysis, C programming and other real-world applicable skills. 

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Fully Online on Your Time


The Pathway to Computing features asynchronous online courses that are ideal for busy adults who cannot attend on campus or attend set class times. The graduate certificate provides the starting point for preparing for a computing career after successful completion of 15 course credit hours.

Students can complete this program in as little as two semesters if enrolled full-time. Busy working professionals can successfully complete the program in three, four or five 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.

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

      Spotlight Scroll Icon PTC_Jing Wang

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."

Average Salaries

The Pathway to Computing Graduate Certificate can be one of your first steps that leads to enhanced career opportunities and significant salary increases. According to Gray Intelligence, the average salary for computer science jobs for those who have successfully completed post-baccalaureate education in computer science is more than $110,000. Earning USF's Master of Science in Computer Science or the Master of Science in Data Intelligence increases applicants' marketability for these careers. Some job titles for potential opportunities include:

  • Principal Software Engineer - $170,836
  • Software Engineer - $105,637
  • App Developer Technical Lead - $94,054
  • Finance Manager / Consultant - $116,263
  • Software Developer - $105,637
  • IT Analyst / Manager - $84,915