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Online Artificial Intelligence Graduate Certificate

Accelerate Your Career in a Growing Field

Learn to use innovative AI skills to solve business problems with the online Artificial Intelligence graduate certificate from Saint Mary’s University of Minnesota. The program takes a hands-on approach to exploring data engineering and the Internet of Things (IoT), designing data collection methods, and programming deep learning models.

This certificate is a part of Saint Mary’s Accelerators, a carefully crafted series of master’s-level graduate certificates designed to advance your career. After completing the program, you may apply your credits to the Master of Science in Business Intelligence and Data Analytics (BIDA) degree and finish your education faster.*

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12

credits

$760

per credit

2

semesters

AugJanMay

start dates

Online

12

credits

$760

per credit

2

semesters

AugJanMay

start dates

Online

Why Earn Your Artificial Intelligence Certificate Online with Saint Mary's?

Artificial intelligence technologies are taking the business world by storm. With the online Artificial Intelligence graduate certificate, you can become a qualified expert in this growing, in-demand field in less than one year. Learn from experienced faculty in a convenient online platform and take the lead in your business career with artificial intelligence expertise.

Program Highlights

  • Digital Badging for all Graduate Certificate Courses
  • Apply Graduate Certificate Credits to an MS BIDA and MBA
  • No Prerequisite Courses or GRE/GMAT Required

Course List & Requirements

Saint Mary's online Artificial Intelligence certification program provides a foundational introduction to big data, IoT, and artificial intelligence. You will study data engineering to collect, clean, and structure data for AI projects. Courses are taught by expert faculty who bring valuable field expertise into the classroom. This program includes 12 credits of project-based coursework, preparing you to apply innovative AI-based solutions to business strategy, improving outcomes for organizations of all types.

  • This course introduces advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Students are introduced to descriptive, predictive, prescriptive analytics, and optimization models. The course utilizes Microsoft Excel to engineer and analyze business models. Students identify the proper use of complete regression, optimization, and exponential smoothing models.

    Upon completion of this course, students are expected to be able to do the following:

    • Utilize datasets to develop statistics and probability to predict future outcomes
    • Implement appropriate models needed to analyze and critically evaluate business objectives
    • Develop written and oral communication skills required to report on data-intensive business situations
    • Organize data-intensive content in a professional setting
    • Execute advanced analytics techniques

  • The course utilizes the data processing requirements necessary to implement technology-based analytics. The course explores the strengths and limitations of various data formats to make better decisions. The importance of structured and unstructured data formats and performing methods of data extraction, transformation, and loading are covered. Data wrangling methodologies explore constructing custom data pipelines to support efficient analysis. These methods include cleaning, filtering, standardizing, and categorizing data. Processes to review data for accuracy, consistency, and completeness are covered as well as techniques to mitigate error and improve data integrity. The course also investigates the legal and ethical considerations of data management.

    Upon completion of this course, students are expected to be able to do the following:

    • Perform extract, transform, and load (ETL) processes using structured and unstructured data formats
    • Assess data for error and implement techniques to improve data integrity
    • Determine appropriate data formats for given situations
    • Design and document processes for converting raw data into a product suitable for analysis
    • Identify legal and ethical issues related to the processing and dissemination of data

  • This course focuses on the framework for utilizing the Python programming language for artificial intelligence applications. The course explores performing, creating, and scripting. Students gain experience in programming Python scripts and data science applications.

    Upon completion of this course, students are expected to be able to do the following:

    • Write high-quality, maintainable Python programs for deep learning
    • Import Python libraries for artificial intelligence development
    • Articulate and demonstrate the value and concepts of Python programming language for analytical modeling
    • Apply mathematical operations and code aligned with standard machine learning techniques
    • Finally, evaluate common approaches to artificial intelligence application development

  • Note: Students may choose either BIA 645 or BIA 681.

    This course focuses on explaining complex datasets, models, and analysis to a variety of stakeholders including internal and external organizations and personnel of various disciplines. Audience analysis, and effective strategic communication are studied. Students identify and analyze problems. Professionalism in both oral and written communication is expected.

    Upon completion of this course, students are expected to be able to do the following:

    • Conduct stakeholder analysis and communications results
    • Identify business problems and create analytical approaches to solve them
    • Write reports based on best-practice data analysis frameworks
    • Demonstrate best practice communication techniques to visualize, explore, and act on data science findings

  • Note: Students may choose either BIA 645 or BIA 681.

    This course introduces students to the complex nature of deep learning. First, by studying supervised and unsupervised models, students explore the benefits deep learning offers businesses. Then, using Python, students build a neural network model using the Keras framework and interpret the results for stakeholders.

    Upon completion of this course, students are expected to be able to do the following:

    • Communicate a conceptual understanding of why neural networks are gaining popularity
    • Compare neural networks with other data structures and the situations in which neural networks should be used over other structures
    • Visualize and interpret the components of a shallow neural network
    • Construct a basic deep neural network model using Python and the Keras library
    • Explain profound neural network model results for stakeholders

Share Your Success

Saint Mary’s supports your success by providing you with the tools necessary to not only achieve your professional goals but to share them with the world—especially the digital world.

As part of our commitment, Saint Mary’s offers an opportunity for you to be awarded digital badges. Digital badges are a graphic verification representing your achievement after completing a specific online course or program.

Admissions

The online Artificial Intelligence certificate program is financial aid eligible and can be completed in one year. No prerequisite coursework is required, and you don't need GRE/GMAT scores to apply. For admission to the program, you'll need:

    • An undergraduate degree from a regionally accredited institution
    • A minimum GPA of 2.75 on a 4.0 scale
    • A written statement: Your background and future goals all impact your success with Saint Mary’s and inform your education. As you prepare your written statement, think about including previous experiences, education, and your strengths and interests. Share your motivations for entering the online human resource management certificate program and how it will contribute to your career

  • No prerequisite coursework or experience is required for this program.

  • You don’t need GRE/GMAT scores to apply for this program.

  • Transfer credits are not accepted for this program.

    • Students with transcripts from universities outside the United States, the United Kingdom, Ireland, New Zealand, Australia, and Canada (except for the Quebec Province) must take and pass English proficiency testing
    • Saint Mary’s accepts the Test of English as a Foreign Language (TOEFL) with a minimum score of 72, the International English Language Testing System (IELTS) with a minimum score of 6.0, the Michigan Language Assessment Battery (MELAB) with a minimum score of 74 percent, the Pearson Test of English Academic (PTE) with a minimum score of 51, or the International Test of English Proficiency (ITEP) with a minimum score of 4.0

  • Whether you apply through our online application via hard copy, or in-person with a Saint Mary’s admissions counselor, your application must include the following items:

    $25 non-refundable application fee: Note that Saint Mary’s alumni, students seeking readmission, veterans, and active military personnel are exempt from this application fee.

    Official transcripts: An official transcript issued to Saint Mary’s University of Minnesota from the institution posting the applicant’s completed degree and other relevant transcripts documenting program prerequisites and potential transfer credits must be sent separately and directly from your institution. Saint Mary’s University of Minnesota accepts official transcripts electronically from previously attended institutions. Transcripts should be sent to oladmissions@smumn.edu or mailed to:

    Transcript Processing Center
    Saint Mary’s University of Minnesota
    851 Trafalgar Court, Suite 420
    Maitland, FL 32751

    An up-to-date résumé: Include both your educational and professional experience.

    Two references: Provide the names of two people (including title, organization, email, and phone number) who can serve as professional references, if needed, during the application review process. The best references are those who know you professionally, such as current or former supervisors.

  • Upcoming application deadlines for Saint Mary’s online Artificial Intelligence certificate:

    • Spring: December 18, 2023
    • Summer: April 22, 2024
    • Fall: August 20, 2024

  • Upcoming start dates for Saint Mary’s online Artificial Intelligence certificate:

    • Spring: January 8, 2024
    • Summer: May 6, 2024
    • Fall: September 3, 2024

  • Once you’ve submitted your application, expect to be notified about acceptance approximately two weeks after your submission date.

Tuition & Fees

A college education is invaluable. You can take it wherever you want to go or as far as you want to go. The cost of quality education should not get in the way of reaching your goals. Here at Saint Mary’s, we are committed to providing a quality education that is accessible and affordable. Explore cost breakdowns for tuition and other fees of the online Artificial Intelligence certificate.

Graduate Certificate: Artificial Intelligence Careers & Salary

The field of artificial intelligence is growing rapidly along with the expansion of cloud computing, increased use of big data, and prioritization of information security. With the online Artificial Intelligence certificate, you'll gain the AI and programming skills you need for the tech jobs of the future. The salary breakdown of artificial intelligence professionals is:

AI Developer

$77,8501

Business Intelligence Architect

$111,5442

Data Scientist

$97,4833
13%

growth rate is expected for computer and information technology occupations through 2030.4

What You'll Learn

As a graduate of this program, you will be able to:

  • Design and deploy an end-to-end AI (artificial intelligence) solution
  • Present deliverables to stakeholders that align with an organization’s strategic goals
  • Evaluate ethical considerations around artificial intelligence-based solutions
  • Consider conflict resolution, cross-functional teamwork, and compliance issues

Frequently Asked Questions

Saint Mary's University of Minnesota is accredited by the Higher Learning Commission.

You may apply for admission to Saint Mary's online Artificial Intelligence certificate program anytime. After you are admitted, you may begin taking online classes at the start of any semester: Spring, Summer, or Fall.

No. Transfer credits are not accepted for graduate certificates.

No. As long as you submit your assignments by the time they are due, you can work and study when it is most convenient for you.

Applicants must hold a bachelor’s degree from a regionally accredited institution, along with a GPA of at least 2.75 on a 4.00. Further information about admissions requirements and the application process can be found in the admissions section on this page.

All of the support systems available to on-campus students at Saint Mary's University are available for online learners as well. If you need academic support, a team of advisers is ready to assist. Professors are just a phone call or email away, and every online Saint Mary's University student is paired with a dedicated student services coordinator who will make sure your educational and professional goals stay on track. Technical support is also available to online students 24/7 at 877-308-9954 ext. 3.

It's easy! Your journey to a more rewarding career starts by calling 877-308-9954 to speak with an enrollment counselor. Or, you can request more information, and we'll reach out to you. If you already know Saint Mary's University of Minnesota is the right place to earn your online Artificial Intelligence Certificate, go ahead and begin the Online Application Process.

No. The degree you earn online from Saint Mary's is identical to the degree offered on campus.

The online Artificial Intelligence certificate program requires you to complete 12 credit hours of program work. However, you'll be able to complete your coursework in as little as two semesters.

The program is fully online.

No, these are instructor-led courses. While there are no set class times, there are assignments with set due dates.

Yes. Certain coursework requires software that is only compatible with a Windows-based PC, and will not properly work on a Mac computer (Apple iOS). Therefore, to be successful in the program, you will either need to use a Windows-based PC or partition your Mac so that the required Windows OS software is available.

Yes. Many different types of financial aid are available to those who qualify. To discuss tuition rates and financial aid options, call 877-308-9954 to speak with an enrollment counselor.

Sources and Disclaimer

  1. PayScale, Average AI Programmer Salary, U.S. Retrieved from https://www.payscale.com/research/US/Job=AI_Programmer/Salary.
  2. PayScale, Average Business Intelligence (BI) Architect Salary, U.S. Retrieved from https://www.payscale.com/research/US/Job=Business_Intelligence_(BI)_Architect/Salary.
  3. PayScale, Average Data Scientist Salary, U.S. Retrieved from https://www.payscale.com/research/US/Job=Data_Scientist/Salary.
  4. Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Computer and Information Technology Occupations. Retrieved from https://www.bls.gov/ooh/computer-and-information-technology/home.htm.

*Students in the BIDA program are required to select an Artificial Intelligence, Business Analytics, or Healthcare Analytics certificate to complete 33 credits to confer a degree.