Online
Program Available
Graduate Certificate
Program Type
Total Credits
15
Affordability
Private School Education At State School Prices
Why Study Machine Learning in Business?
A machine learning in business certificate equips you with the practical skills to apply statistical and machine learning models to real-world business challenges, using tools such as Python, SQL, and non-SQL databases. Through hands-on projects, you’ll gain the ability to move beyond basic charts to predictive analytics and informed decision-making with AI in business. Park’s Graduate Certificate in Machine Learning in Business lays a strong foundation for understanding the core of AI, including how machine learning powers technologies like Generative AI. Whether you’re aiming for career advancement or planning to pursue an ISBA degree, this certificate offers an immediate and future-ready advantage in a data-driven world.
What You’ll Learn
- The machine learning in business certificate covers foundational coding skills in Python, focusing on data collection, manipulation, and visualization using key libraries in data science. You’ll also explore how poor data practices can distort business insights, helping you avoid common pitfalls when applying AI and machine learning in business.
- In the machine learning for business program, you will learn to apply statistical analysis and data science techniques to solve real-world business problems. From identifying data points to generating actionable insights, you’ll use machine learning in business analytics to evaluate outcomes, understand limitations, and support informed decision-making.
- You will learn how to access, clean, and manage big data using relational and non-relational databases, APIs, and standalone datasets. By mastering querying, merging, and aggregating techniques, you’ll be able to support machine learning for business use cases like fraud detection, predictive analytics, and customer segmentation.
- The AI and machine learning in business certificate also delves into advanced machine learning models, including neural networks, clustering, time series analysis, and association rules mining. You’ll explore deep learning, interpretability, bias, and natural language processing—developing skills that bridge computer science and business to drive innovation through artificial intelligence.
- Depending on your chosen elective, you could explore Text Analytics, where you’ll learn to apply natural language processing techniques like sentiment analysis, text summarization, and document categorization to extract insights from unstructured business data. Alternatively, Sports Analytics offers hands-on experience using statistical analysis, data visualization, and machine learning to evaluate player performance, predict outcomes, and support data-driven decision-making in the sports industry.
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Dr. Adrian James
Interim Dean, College of Management
Associate Professor of Management
adrian.james@park.edu
Tuition & Fees
Park University offers a transparent and student-focused approach to tuition and financial aid. Our tuition structure is designed to be competitive and manageable, and our financial aid counselors are available to guide you through every step of the process. From understanding your cost breakdown to exploring funding options, we ensure that financial planning is clear, personalized, and aligned with your educational journey.
Admission Requirements
Park University’s graduate certificate programs are designed for professionals looking to deepen their expertise. To apply, you’ll need a bachelor’s degree from an accredited institution and a minimum GPA of 2.75. You can pursue a certificate on its own or alongside a graduate degree—with your advisor’s approval. Keep in mind that certificate admission doesn’t automatically grant entry to a full graduate program. To earn the certificate, you’ll need to maintain a 3.0 GPA and complete 75% of the program coursework at Park to meet the residency requirements.
Visit Admissions Policies and Procedures to learn more about admission requirements at Park University.
Machine Learning in Business Career & Future Opportunities
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*General salary and employment outcomes vary by geographic area, previous work experience, education and opportunities for employment that are outside of Park University’s Control. The labor market and average salary range can be explored further at the U.S. Bureau of Labor and Statistics.
FAQs: Machine Learning in Business Graduate Certificate
No. While familiarity with statistics or business analytics is helpful, the program is designed for professionals from diverse fields—including business, healthcare, and public administration—who want to apply machine learning tools to solve organizational challenges. Foundational concepts are introduced before advancing to applied techniques.
Yes. Credits earned in the Machine Learning in Business Graduate Certificate may be transferable toward Park’s Master of Science in Information Systems and Business Analytics (ISBA) or other graduate programs. This pathway enables students to begin with a certificate and progress toward a full graduate credential as their career goals evolve.
The program equips professionals with both technical fluency and strategic insight to champion AI initiatives within their organizations. Students learn to evaluate machine learning tools, communicate data-driven recommendations to stakeholders, and align AI applications with business objectives—skills essential for roles such as AI strategist, analytics lead, or digital transformation manager.
This certificate can lead to roles like data analyst, business intelligence specialist, machine learning consultant, or operations analyst. It equips you with in-demand skills in predictive modeling, data-driven decision-making, and AI tools, making you valuable in industries such as finance, marketing, logistics, and technology.
Ready To Take The Next Step?
Class Start Dates: Term Dates