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Data Analytics Certificate

Stand out and advance your career with a graduate certificate in data analytics

Quick Look

OFFERED AS:

Certificate

FORMAT:

In-Person, Online, Hybrid

CREDITS REQUIRED:

12

Kutztown University’s Data Analytics Graduate Certificate is designed for professionals and graduate students seeking practical, application-driven expertise in one of today’s fastest-growing fields. This flexible, 12‑credit program equips you with the skills needed to work with real-world data, whether you plan to advance in your current role or pursue new opportunities.

Why Choose Kutztown University for Your Data Analytics Certificate

While earning your data analytics certification, you’ll learn to locate, prepare, analyze, visualize, and interpret data using modern machine learning, predictive analytics, and big data tools—skills increasingly sought by employers across sectors such as business, healthcare, government, and technology. 

Kutztown’s flexible format allows you to attend in person or online, creating a learning experience that fits your lifestyle. Students pursuing a Master of Science in Computer Science or a Master of Business Administration at Kutztown University can combine this certificate with their degree by taking courses that count toward both programs.

Data Analytics Certificate Highlights

The Data Analytics Graduate Certificate features a practical, skills‑focused curriculum that covers data mining, predictive analytics, big data concepts, machine learning techniques, and data visualization. Students may also complete a capstone experience through either an independent study project or a professional internship, ensuring they gain hands‑on, real‑world analytics experience. 

Program Highlights:

  • Flexibility to attend class online, in-person, or in a hybrid format
  • Quality instruction at an affordable cost
  • Accomplished faculty providing high-quality instruction and support
  • Cutting-edge curriculum focusing on the latest trends in data analytics 

Student Learning Outcomes

  • Data Analytics Graduate Certificate
    1. Demonstrate the ability to locate useful massive data sources, download targeted data, evaluate it for integrity and completeness, and format it for use in data analysis software tools.
    2. Filter, organize, and manage prepared data for use in the analysis.
    3. Construct formal analyses of data using multiple machine learning mechanisms and processes, including standard approaches from the following list.
      1. Data association rules
      2. Data classification trees
      3. Statistical regression techniques
      4. Data clustering techniques
      5. Instance-based machine learning
      6. Ensemble machine learning
      7. Neural networks
    4. Create meaningful graphical visualizations of patterns in data relationships.
    5. Evaluate the integrity and completeness of the results of data analyses.
    6. Communicate the results of analyses using written, graphical, and oral communication
      techniques.
    7. Integrate the results of analyses into automated mechanisms for responding to patterns in
      data.

Data Analytics Graduate Certificate Frequently Asked Questions