Certificate in Data Analysis
The Certificate in Data Analysis is a graduate level certificate, 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. This
certificate may also be pursued by professionals who already have some background in statistics, but who need to update or improve their skills. It includes an introduction to statistical analysis, a course in regression analysis and experimental design and
additional training in more specialized areas of application.
Note: This certificate is currently offered as a certificate of completion. We are in the process of getting this certificate authorized as a transcripted certificate. Please contact Jana Anderson for questions regarding this transition.
Certificate Program Prerequisites:
- college algebra
- an upper division undergraduate statistics course
The Certificate in Data Analysis may be earned by successfully completing the following:
- STAT 511 - Design and Data Analysis for Researchers I (4 cr.)
- STAT 512 - Design and Data Analysis for Researchers II (4 cr.)
- Two credits from:
- STAA 565 - Quantitative Reasoning (1 credit - must be taken after STAT 512, requires knowledge of R)
- STAA 566 - Computational and Graphical Statistics (1 credit - requires knowledge of linear algebra and R)
- STAA 568 - Industrial/Organizational Statistics (1 credit - must be taken after or concurrent with STAT 512)
- STAA 552 - Generalized Regression Models (2 credits - requires knowledge of R and SAS, must be taken after STAT 512)
- STAA 573 - Analysis of Time Series (2 credits - requires at least one semester of calculus - must be taken after STAT 511)
The schedule for course offerings may be found here, and semester dates may be found at our Calendar. When selecting coursework for this certificate, please consider the following:
- STAT 511 is the prerequisite for STAT 512. An upper division undergraduate introductory statistics course (similar to STAT 301 or STAT 311) is the assumed background for STAT 511.
- Some of the STAA courses require students to have a working knowledge of SAS and/or R. Students will learn R computing skills in STAT 511 and SAS computing skills in STAT 512. On campus students who take the SAS section of STAT 511 will need to contact Jana Anderson for information on learning R programming skills.
- Formal admission is required for all students. Contact Jana Anderson for information.
- All coursework for this certificate must be completed through our department.
- You must complete each class with a C or better and achieve an overall GPA of 3.0 or better in the required courses.
- Courses taken prior to admission must be completed with a grade of B or better (see University transfer policies). Students taking courses prior to admission are advised to contact Jana Anderson for permission and direction.
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. For questions or to begin working on this certificate, please contact Dr. Jana Anderson.
For additional information on pursuing this certificate online, please visit http://www.online.colostate.edu/certificates/data-analysis/.
Some useful links:
Contact the Statistics Department Regarding Certificates:
Phone: (970) 491-5268
Fax: (970) 491-1084
Follow us on Twitter: @CSUSTATDistance
Jana Anderson, Director for MAS/ Online Learning Programs