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Complete your Penn State course work at your own pace and 100% online.
Application deadline
Credits and costs
Stackable Credentials
This program is embedded within the Master of Artificial Intelligence.
Gain Computer Vision Skills to Prepare for a Career Using AI
Understand machine vision processes, including image classification, object detection, image segmentation, and activity detection.
Design, build, and deploy computer vision models on cloud-based infrastructure, servers, and embedded devices.
Learn the theory and approaches of reinforcement learning and deep learning and their application to computer vision systems.
Explore a wide range of data visualization approaches that can be applied to complex data across varied data types to gain insights and find hidden patterns.
Computer Vision Courses
Computer Vision Courses
The courses in this artificial intelligence certificate will help you master the foundational concepts of computer vision so you are able to model, design, develop, and test computer vision applications.
Required Courses (9 credits)
- 3credits
This course will cover the main theory and approaches of reinforcement learning, along with deep learning and common software libraries and packages.
- 3credits
This course focuses on the design of computer-based, machine vision systems using appropriate algorithms and best practices. Students will learn image representation and structuring; feature extraction and segmentation; and information extraction, filtering, and analysis.
- 3credits
This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets.
Using Certificate Credits toward a Stackable Credentials Degree Pathway
As part of the stackable pathway, the courses required for this 9-credit certificate can also be applied to a Master of Artificial Intelligence if you apply and are accepted into the program. If you have been accepted into this certificate program, you will not be charged an additional fee to apply for the Master of Artificial Intelligence program.
Courses may also apply to other degree programs. Students should contact their adviser to discuss transfer credit policies and application fees and details.
All courses must be completed with a minimum grade of C or better and an overall GPA of 3.0.
Course Availability
If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.
Start or Advance Your Career
Start or Advance Your Career
Applications of computer vision span a multitude of industries and domains, transforming the way we perceive and interact with the world. Computer vision is finding ever-increasing uses in the health care, autonomous vehicle, manufacturing, robotics, game design, financial trading, and marketing industries, among many others.
The Graduate Certificate in Computer Vision can prepare you for leadership roles as a computer vision engineer, data scientist with a focus on visualization, computer vision research scientist, and AI engineer with focus on reinforcement learning.
Career Services to Set You Up for Success
From the day you're accepted as a student, you can access resources and tools provided by Penn State World Campus Career Services to further your career. These resources are beneficial whether you're searching for a job or advancing in an established career.
- Opportunities to connect with employers
- Career counselor/coach support
- Occupation and salary information
- Internships
- Graduate school resources
Ready to Learn More?
Get the resources you need to make informed decisions about your education. Request information on this program and other programs of interest by completing this form.
Ready to take the next step toward your Penn State graduate certificate?
Costs and Financial Aid
Costs and Financial Aid
Learn about this program's tuition, fees, scholarship opportunities, grants, payment options, and military benefits.
Graduate Tuition
Graduate tuition is calculated based on the number of credits for which you register. Tuition is due shortly after each semester begins and rates are assessed every semester of enrollment.
2024–25 Academic Year Rates
How many credits do you plan to take per semester? | Cost |
---|---|
11 or fewer | $1,067 per credit |
12 or more | $12,805 per semester |
2025–26 Academic Year Rates
How many credits do you plan to take per semester? | Cost |
---|---|
11 or fewer | $1,078 per credit |
12 or more | $12,933 per semester |
Paying for Your Certificate
Students pursuing a certificate are considered "nondegree," a status that is not eligible for federal student aid, including the Federal Direct Stafford Loan program. A private alternative loan may be an option to consider.
Additionally, Penn State offers many ways to pay for your education, including an installment plan and third-party payments. Penn State World Campus also offers an Employer Reimbursement and Tuition Deferment Plan. Learn more about the options for paying for your education.
Students pursuing a degree and meeting all other eligibility requirements may qualify for financial aid.
Military Benefits
Military service members, veterans, and their spouses or dependents should explore these potential military education benefits and financial aid opportunities, as well.
Additional Cost of Attendance Details
To view the detailed list of cost of attendance elements:
- visit the Tuition Information site
- click the plus sign to expand the table
- select a semester from the World Campus row
Technical Requirements
Review the technical requirements for this program.
Earn Stackable Credentials on the Way to a Master's Degree
Earn Stackable Credentials on the Way to a Master's Degree
This certificate can serve as a stand-alone credential and as a step on your journey toward a Master of Artificial Intelligence. Stackable credentials recognize your new skills and knowledge while you work toward your master's degree — with no additional application fees.
Earning graduate certificates from Penn State World Campus is a great way to gain new skills and quickly add valuable credentials to your résumé.
This graduate certificate’s courses satisfy requirements toward the following degree(s):
This 33-credit artificial intelligence master's degree will help you gain the skills and knowledge needed to develop intelligent systems and explore new frontiers in artificial intelligence, machine learning, deep learning, natural language processing, reinforcement learning, and computer vision.
Learn more about the Master of Artificial IntelligenceShow Your Progress with a Digital Badge
Show Your Progress with a Digital Badge
Upon completion of this program, Penn State awards you a graduate certificate and a digital badge from Credly.
Certificate earners are awarded a digital badge for each certificate they complete as part of this stackable credentials group. Badges can be displayed digitally to recognize your accomplishment of attaining a new level of knowledge.
Set Your Own Pace
Set Your Own Pace
Whether you are looking to finish your program as quickly as possible or balance your studies with your busy life, Penn State World Campus can help you achieve your education goals. Many students take one or two courses per semester.
Our online courses typically follow a 12- to 15-week semester cycle, and there are three semesters per year (spring, summer, and fall). If you plan to take a heavy course load, you should expect your course work to be your primary focus and discuss your schedule with your academic adviser.
To Finish Your Certificate in Less than a Year
- Take 1–2 courses each semester
To Finish Your Certificate in One Year
- Take 1 course each semester
Timelines may vary based on course availability.
Convenient Online Format
This program's convenient online format gives you the flexibility you need to study around your busy schedule. You can skip the lengthy commute without sacrificing the quality of your education and prepare yourself for more rewarding career opportunities without leaving your home.
A Trusted Leader in Online Education
Penn State has a history of more than 100 years of distance education, and World Campus has been a leader in online learning for more than two decades. Our online learning environment offers the same quality education that our students experience on campus.
Information for Military and Veterans
Are you a member of the military, a veteran, or a military spouse? Please visit our military website for additional information regarding financial aid, transfer credits, and application instructions.
How to Apply to Penn State
How to Apply to Penn State
Apply by March 15 to start May 19
Application Instructions
Deadlines and Important Dates
Complete your application and submit all required materials by the appropriate deadline. Your deadline will depend on the semester you plan to start your courses.
Summer Deadline
Apply by March 15 to start May 19Fall Deadline
Apply by July 15 to start August 25Spring Deadline
Apply by November 15, 2025, to start January 12, 2026
Steps to Apply
For admission to the J. Jeffrey and Ann Marie Fox Graduate School, an applicant must hold either (1) a baccalaureate degree from a regionally accredited U.S. institution or (2) a tertiary (postsecondary) degree that is deemed comparable to a four-year bachelor's degree from a regionally accredited U.S. institution. This degree must be from an officially recognized degree-granting institution in the country in which it operates.
Students should hold a bachelor's degree in computer science, engineering, or mathematics to be considered for admission to the program. Students from other disciplines will be considered based on prior course work (including the entrance requirements for mathematics and programming) and standardized test scores. Students should have earned at least a 3.00 junior/senior GPA (on a 4.00 scale) in their baccalaureate program.
Mathematics Requirement
Applicants must complete Calculus I (equivalent to Penn State's MATH 140), 1 semester of probability or statistics, and 1 semester of linear algebra.
Programming Requirement
Applicants must complete two introductory-level programming courses where both courses used the same language. If an applicant believes his/her work experience satisfies the background, he/she should include a recommendation letter from a technical colleague describing the applicant’s coding contributions at work.
You will need to upload the following items as part of your application:
Official transcripts from each institution attended, regardless of the number of credits or semesters completed. Transcripts not in English must be accompanied by a certified translation. If you are a Penn State alumni, you do not need to request transcripts for credits earned at Penn State but must list Penn State as part of your academic history.
GRE or GMAT — Scores are NOT required and will not be accepted.
English Proficiency — The language of instruction at Penn State is English. With some exceptions, international applicants must take and submit scores for the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS). Minimum test scores and exceptions are found in the English Proficiency section on the Fox Graduate School's "Requirements for Graduate Admission" page. Visit the TOEFL website for testing information. Penn State's institutional code is 2660.
To begin the online application, you will need a Penn State account.
Create a New Penn State Account
If you have any problems during this process, contact an admissions counselor at [email protected].
Please note: Former Penn State students may not need to complete the admissions application or create a new Penn State account. Please visit our Returning Students page for instructions.
Stackable Credentials Application Fee Waiver
If you have been previously accepted to a program with stackable credentials, you will not be charged an additional application fee for any associated programs.
Associated programs in the artificial intelligence stack:
Certificates
- Graduate Certificate in Foundations of Artificial Intelligence
- Graduate Certificate in Natural Language Processing
- Graduate Certificate in Computer Vision
Degree
- Master of Artificial Intelligence
If you begin with a certificate and are interested in pursuing the Master of Artificial Intelligence, work with your adviser while completing your first certificate to determine which program to apply to next.
Up to 15 credits earned in any of these certificate programs may be transferred to the Master of Artificial Intelligence, subject to restrictions outlined in GCAC-309 Transfer Credit.
You can begin your online application at any time. Your progress within the online application system will be saved as you go, allowing you to return at any point as you gather additional information and required materials.
- Choose Enrollment Type: "Certificate Admission"
- Choose "WORLD CAMPUS" as the campus
Checking Your Status
You can check the status of your application by using the same login information established for the online application form.6. Complete the application.
Admissions Help
If you have questions about the admissions process, contact an admissions counselor at [email protected].
Current Penn State students should contact [email protected] with questions and for assistance.
Contact Us
Contact Us
Have questions or want more information? We're happy to talk.
To learn more about the Graduate Certificate in Computer Vision, offered in partnership with the Penn State Great Valley School of Graduate Professional Studies, please contact:
For general questions about the program:
Dr. Amanda Neill
[email protected]
For general questions about Penn State World Campus:
World Campus Admissions Counselors
Phone: 814-863-5386
[email protected]
Learn from the Best
Learn from the Best
The Graduate Certificate in Computer Vision is offered in partnership with the Penn State Great Valley School of Graduate Professional Studies. Penn State World Campus offers a flexible, online platform that allows you to pursue a world-class education while you continue to gain valuable work experience. You will receive the same education as a Penn State student on campus, and your courses will be taught by the same graduate faculty who are active in research and experts in their fields.
Faculty
Raghu Garud
DegreePh. D., Strategic Management and Organization, University of MinnesotaRaghu Garud is the Farrell Chair in Innovation and Entrepreneurship and a professor of management and organization at Penn State. His research explores the emergence and adoption of novelty. Raghu was recognized by the Technology and Innovation Management Division of the Academy of Management as its distinguished scholar for 2020. In addition to many journal articles, Raghu has co-edited or co-authored several books.
He has served on the faculty at the Stern School of Business at New York University. Raghu also has been a Fellow of the Sydney Sussex College, the University of Cambridge, a visiting scholar at VU Amsterdam, the Copenhagen Business School, the University of Bologna, the University of St. Gallen, The Indian School of Business, and the Singapore Management University.
Hajime Shimao
- DegreePh.D., Economics, Purdue University
- DegreeB.A., Psychology, University of Tokyo
Hajime Shimao is an interdisciplinary social scientist who explores unique applications of machine learning and artificial intelligence in a wide range of domains, including economics, management, finance, law, history, and art. His research aims to unify views and methodologies from traditional disciplines with the cutting-edge technologies to develop novel research frameworks in social science.
Chengfei Wang
- DegreePh.D., Computer Science, Auburn University
- DegreeM.S., Computer Science, Auburn University
- DegreeM.S., Biophysics, University of Electronic Science and Technology of China
- DegreeB.S., Biotechnology, University of Electronic Science and Technology of China
Dr. Chengfei Wang is an assistant professor of artificial intelligence. He teaches courses in foundations of AI and analytics programming in Python. His research interests include the robustness problem of deep learning models applied in life-critical missions and business intelligence based on natural language analysis of customer reviews on social media. His research on the robustness of the computer vision model was published at top-tier AI conference Computer Vision and Pattern Recognition (CVPR) Conference.
We Are Penn State Online
This is the real Penn State. You will take courses with curriculum developed by the same professors who teach on campus. You can expect the same caliber of academic quality that you associate with Penn State.