Graduate Certificate in Data Analysis

The Graduate Certificate in Data Analysis (GCDA) is designed for students who need a solid background in data analysis using modern software. It is intended for professionals or graduate students in diverse fields seeking a short-term program that will strengthen their statistical skills. Those responsible for organizing and analyzing complex data, regardless of what industry, will benefit from this data analysis training. They will discover how to analyze designed experiments, present statistical analysis in tabular and graphical form, communicate results using various data presentation formats to a variety of stakeholders with varying levels of technical skill, and use SAS and R software for statistical analysis. In addition, students will learn about appropriate data collection methods and data mining techniques.

This certificate consists of eight credits of design and data analysis courses and two credits of elective courses. The GCDA is available both online and on campus (Main Campus Face-to-Face).

The GCDA is at the graduate level, requiring students to have already obtained a bachelor's degree. Formal admission is required for students to pursue this certificate. Please contact Karena Alons for questions regarding the application process.  Applicants who have already taken STAT 511A may be considered for a Spring admission. All others should apply for a Fall admission.

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Certificate Program Prerequisites:

  1. college algebra
  2. at least one undergraduate statistics course

The Certificate in Data Analysis may be earned by successfully completing the following:

  1. STAT 511A - Design and Data Analysis for Researchers I: R Software (4 cr.)
  2. STAT 512 - Design and Data Analysis for Researchers II (4 cr.)
  3. Two credits from:
    • STAA 565 - Quantitative Reasoning (1 cr. - must be taken after STAT 512, requires knowledge of R)
    • STAA 566 - Computational and Graphical Statistics (1 cr. - requires knowledge of linear algebra and R)
    • STAA 568 - Industrial/Organizational Statistics (1 cr. - must be taken after or concurrent with STAT 512)
    • STAA 552 - Generalized Regression Models (2 cr. - requires knowledge of R, must be taken after STAT 512)
    • STAA 572 - Nonparametric Methods (2 cr. - requires knowledge of R, must be taken after STAT 512)
    • STAA 573 - Analysis of Time Series (2 cr. - requires at least one semester of calculus - must be taken after STAT 511)
    • STAT 547 - Statistics for Environmental Monitoring (3 cr.) (also offered as CIVE 547)

When selecting coursework for this certificate, please consider the following:


Please also note that all STAT courses are traditional, semester-long courses (16 weeks) and are awarded 3-4 credits, while STAA courses are sub-term courses (8 weeks) and are awarded 1-2 credits.  An 8-week, 2-credit course will require the same amount of time per week as a 16-week, 4-credit course (approximately 12 hours per week on average). See Course Descriptions for additional details regarding courses.

Students must ensure that they have taken all prerequisites before registering for a course.  Students who are not able to show that they have taken the prerequisites may be dropped from the course roster. 


More information on this certificate is available on the Graduate School Website. Contact CSU Online for more information on pursuing this certificate online.

Gainful Employment Disclosure

Contact the Statistics Department:


Phone: (970) 491-5268

Fax: (970) 491-1084

Advising Contact: Jana Anderson, Associate Professor

Phone: (970) 491-7454