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.
The Certificate in Data Analysis may be earned by successfully completing the following:
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.
Contact the Statistics Department:
Phone: (970) 491-5268
Fax: (970) 491-1084
Advising Contact: Jana Anderson, Associate Professor
Phone: (970) 491-7454