Pathway to Computing
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GRADUATE CERTICATE
How do you enter the computing field after college?

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.

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.

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.

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.
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JING WANG, PHDPROGRAM DIRECTOR, PATHWAY TO COMPUTING PROGRAM
- PROFESSOR OF INSTRUCTION
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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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James Anderson, PhD
Associate Professor of Instruction
Blockchain TechnologySupply Chain ImprovementProgramming LanguagesEngineering DesignSoftware Engineering -
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Isabela M. Hidalgo, PhD
Assistant Professor of Instruction
Human-Computer InteractionsProgramming LanguagesDatabasesProgramming CoursesComputer Science and Engineering -
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Alessio Gaspar, PhD
Associate Professor
Evolutionary AlgorithmsComputer Assisted LearningPythonLinux TechnologiesOperating Systems -
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Marbin Pazos-Revilla, PhD
Assistant Professor of Instruction and Systems Administrator
CybersecurityInternet of ThingsProgramming LanguagesComputer NetworksVirtualization and Cloud Computing -
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Shaun Canavan, PhD
Associate Professor
BiometricsImage ProcessingPattern RecognitionComputer VisionData Structures and Algorithms -
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Srinivas Katkoori, PhD
Professor
VLSI Design and CADEmbedded SystemsHardware SecurityElectronic Design AutomationComputer System Design -
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Ken Christensen, PhD
Professor and Associate Chair of Undergraduate Affairs
Energy-Efficient Computing and Communications SystemsImproving Communications StorageDistributionUse of Energy in Small GridsComputer Networks -
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James Anderson, PhD
Associate Professor of Instruction
Blockchain TechnologySupply Chain ImprovementProgramming LanguagesEngineering DesignSoftware Engineering -
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Isabela M. Hidalgo, PhD
Assistant Professor of Instruction
Human-Computer InteractionsProgramming LanguagesDatabasesProgramming CoursesComputer Science and Engineering -
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Alessio Gaspar, PhD
Associate Professor
Evolutionary AlgorithmsComputer Assisted LearningPythonLinux TechnologiesOperating Systems -
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Marbin Pazos-Revilla, PhD
Assistant Professor of Instruction and Systems Administrator
CybersecurityInternet of ThingsProgramming LanguagesComputer NetworksVirtualization and Cloud Computing -
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Shaun Canavan, PhD
Associate Professor
BiometricsImage ProcessingPattern RecognitionComputer VisionData Structures and Algorithms -
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Srinivas Katkoori, PhD
Professor
VLSI Design and CADEmbedded SystemsHardware SecurityElectronic Design AutomationComputer System Design -
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Ken Christensen, PhD
Professor and Associate Chair of Undergraduate Affairs
Energy-Efficient Computing and Communications SystemsImproving Communications StorageDistributionUse of Energy in Small GridsComputer Networks -


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