Undergraduate Machine Learning Certificate Online
What Is an Undergraduate Machine Learning Certificate?
An Undergraduate Certificate in Machine Learning is a focused academic credential that teaches foundational methods for using data to build, test and evaluate machine learning models. You will explore how to prepare datasets, apply machine learning algorithms and consider the responsible use of artificial intelligence (AI).
This certificate examines classification, regression, prediction and pattern recognition. Coursework introduces how machine learning systems detect relationships in data and use those patterns to produce predictions and other data-driven outputs
Online: $295 per credit [More Info]
Up to 90 credits, only 84 can be lower division
Credits: Fill out the Lopes Eval to find out what will transfer
Admission Requirements (Bachelor's)
- 16+ years old
- High School Graduate
- 2.8+ Unweighted GPA
OR 2.5+ Unweighted GPA and
- ACT: 19
- SAT: 1000*
Admission requirements may differ based on degree level, program and modality, or transfer status. Some programs of study may require a higher GPA and/or other qualifying criteria for admission. Please review full admission and program requirements in the University Policy Handbook.
*Math and reading only on a 1600 point scale (test date after 3/1/2016). SAT score of 1380 required for 2400 point scale (test date before 3/1/2016).
What To Expect From an Undergraduate Machine Learning Certificate
Expect to examine machine learning as a structured problem-solving process. You will work with datasets by identifying usable variables, preparing information for analysis, selecting an appropriate modeling approach and evaluating whether a model produces reliable results. This process can help you understand how factors such as incomplete data, model selection, testing methods and bias affect the quality of a machine learning system.
You will also examine responsible AI through GCU’s Christian worldview, including considerations surrounding privacy, fairness, transparency and the human impact of automated decisions.
What Is the Online Machine Learning Certificate Experience Like at GCU?
Take Machine Learning Courses Online With Flexibility
The online machine learning certificate offers the flexibility to build technical skills while balancing your education with work and other commitments. Through online coursework, you will study topics such as Python programming, statistical learning and deep learning in a format designed to fit into a busy schedule.
GCU has been institutionally accredited by the Higher Learning Commission since 1968. The College of Engineering and Technology shares the university’s commitment to upholding the principles and standards established by our accrediting bodies.
As an online student in the machine learning certificate program, you can access the College of Engineering and Technology student resources to support your learning experience. These resources include academic tools, technology-focused opportunities and guidance to help you plan coursework and prepare for future education or career goals.
What Will I Study in a Machine Learning Certificate?
Machine learning courses examine the technical process of transforming raw data into information that can be used to train and evaluate predictive models. You will explore how data is prepared for analysis, how different algorithms approach prediction and classification problems and how model performance is assessed using statistical methods and probability-based techniques. Coursework may also introduce quantitative concepts that support data-driven decision-making and machine learning applications.
This certificate also examines the responsible development and use of AI, including considerations involving data privacy, fairness, transparency and potential bias.
Core Machine Learning Course Topics
Coursework introduces the stages involved in developing machine learning solutions, from preparing usable data to selecting modeling approaches and evaluating results.
Four of the main course topics include:
Data preparation and analysis
Learn how data is cleaned, organized and transformed into a usable format before it is analyzed by a machine learning model
Machine learning algorithms
Explore approaches used for classification, regression, prediction and pattern recognition, including how different methods address different types of data problems
Model development and testing
Examine how models are trained, tested and evaluated to determine how effectively they identify patterns and produce reliable results
Responsible AI and ethics
Consider how privacy, fairness, transparency and potential bias can affect the development and use of machine learning systems
What Skills Can You Develop in a Machine Learning Certificate Program?
You can develop machine learning skills in data preparation, model selection, mathematical concepts, model testing and evaluation, interpreting model outputs, programming workflows and responsible AI.
Who Can Benefit From an Undergraduate Machine Learning Certificate?
An Undergraduate Certificate in Machine Learning may benefit students, individuals looking to learn a modern skill and professionals with backgrounds in computer science, information technology, software development, engineering or mathematics who want to build focused knowledge in machine learning.
It may be particularly relevant if you want to:
Completion of the certificate does not guarantee employment, certification, promotion or advancement, and some occupations may require additional education, training or experience.
The skills developed in this certificate may benefit people working toward or in technology-related occupations, including:
Data scientist
Collects, analyzes and interprets complex datasets to uncover insights and support data-informed decision-making
Software developer
Designs, develops and maintains software applications that may incorporate machine learning functionality
Data analyst
Examines data patterns and trends to support business operations, reporting and strategic planning
Business intelligence analyst
Uses data visualization and analytical tools to help organizations understand performance and make informed decisions
Data scientist jobs are projected to increase 35% from 2025 to 2035(See disclaimer 1)
Percentage of companies that require employees to have machine learning skills(See disclaimer 2)
Understanding Online Machine Learning Certificate Tuition
The cost of the Undergraduate Machine Learning Certificate depends on current campus tuition rates and applicable financial options. You can review current on-campus tuition and speak with a university counselor about program length, course sequencing and available financial resources.
Ways To Save
Your education is an important financial investment, and there are several ways to help manage costs while earning your degree. GCU’s university counselors are available to help you explore available options and provide personalized guidance on your estimated cost of attendance.
Complete the Free Application for Federal Student Aid (FAFSA) annually to determine eligibility for federal grants and student loans. Since some aid is awarded on a first‑come, first‑served basis, GCU recommends submitting the FAFSA as early as possible after Oct. 1 to maximize funding opportunities.
If you’ve earned college credits from another institution, you may be able to complete your degree sooner at GCU by transferring those credits. Submit the Lopes Unofficial Credit Evaluation form, then connect with a university counselor who can provide you with personalized guidance.
You may be able to reduce your college costs by applying for GCU’s on-campus or online student scholarships. We invite you to explore available institutional scholarships and determine which opportunities you may be eligible for. GCU also encourages students to seek out third‑party scholarships and grants.
Explore Your Financial Options
Connect with a university counselor to learn more about tuition, cost-planning resources and available options.
Machine Learning Certificate FAQs
Get answers to common questions about GCU’s machine learning certificate, including who it is designed for, what students may study and how machine learning differs from artificial intelligence.
Is a machine learning certificate worth it?
Who should consider earning a machine learning certificate?
What programming language is used in GCU’s machine learning courses?
Do I need programming experience before starting the machine learning certificate?
What is the difference between machine learning and artificial intelligence?
What machine learning topics can students study in this certificate?
What Are the Admission Requirements for a Certificate in Machine Learning?
GCU offers a streamlined admission process with no application fee, personal statement or essay required. High school students may qualify for admission by meeting either the minimum GPA requirement or minimum SAT or ACT test score requirements. Admission criteria may vary by degree or program, so please review the requirements for your chosen program.
You can apply to a degree program at GCU in just three simple steps. Your university counselor is standing by to assist you with any questions about the application process.
It starts with selecting the program that aligns with your goals from one of GCU's 380+ academic programs — from undergraduate degrees to post-master’s certificate programs to doctoral degrees.
Pick your program
Explore our on-campus, online or evening cohort options under the Degree Programs page to find the right program for you.
Complete our online application
Your university counselor will direct you to the online application. Fill in all required information and submit the form.
Submit supporting documents
Submit your official transcripts and any relevant test scores, and confirm with your university counselor that all forms for your desired program are submitted.
Program Curriculum
Core Courses
Related AI Blogs
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Develop foundational skills in Python programming, data preparation, machine learning models and responsible AI with GCU’s Undergraduate Certificate in Machine Learning. Build technical knowledge you can apply to data-driven problems while completing your coursework online.
- U.S. Bureau of Labor Statistics. (2026, Aug. 27). Data Scientists: Job Outlook. Occupational Outlook Handbook. Retrieved September 2026.
- McCain, A. (2023, Feb. 26). 25+ Incredible Machine Learning Statistics [2026]: Key Facts About The Future Of Technology. Retrieved September 2026.
Approved and verified accurate by the Assistant Dean of the College of Engineering and Technology on Oct. 1, 2026.