Learn applied statistics in digital agriculture to transform data into actionable insights for academia and industry using advanced multivariate methods and regression analysis.
Credential Type
Graduate Certificate
Cost (2026-27)
$9,576
Delivery Format
Online
Program Length
12 Credit Hours
Enrollment
Fall or Spring
Eligibility Criteria
Bachelor's degree required
Benefit 1
Develop a robust understanding of advanced statistical methods, improving your ability to analyze complex datasets and extract meaningful insights.
Benefit 2
Position yourself as a valuable asset in academia or industry with specialized skills in statistical analysis, enhancing your professional opportunities and growth.
Benefit 3
Gain hands-on experience with statistical software tools like SAS and R, equipping you to apply statistical methods directly to real-world biological and ecological data.
Overview
This certificate is for professionals in agriculture, biology, and data analysis.
It allows you to explore in-depth courses on applied statistics in digital agriculture, enhancing your analytical skills and decision-making capabilities.
Skills You Will Learn
Upon completing this certificate, you will:
- Learn to collect and integrate spatial datasets for advanced analysis in various biological contexts.
- Master simple linear, multiple linear, nonlinear, and logistic regression methods and correlation analysis.
- Gain skills in predictor variable selection, model diagnostics, selection, validation, and implementation of remedial measures such as ridge regression and weighted least squares.
- Develop proficiency in using multivariate methods to analyze complex datasets in biology and ecology.
- Acquire hands-on experience using statistical software such as SAS and R for data analysis.
- Learn to make informed inferences from statistical analyses and prepare results for scientific publication.
- Enhance your capability to use statistical analysis for effective research and decision-making in academic and industry settings.
Build Skills that Matter
Gain the knowledge and practical experience needed to excel in your field and create meaningful impact.
Course Details
The Applied Statistics in Digital Agriculture Certificate consists of the following:
Required Courses:
- CPSC 440 Applied Statistical Methods I (4 hours)
- CPSC 444 Introduction to Spatial Analytics (4 hours)
Pick one:
- CPSC 541 Regression Analysis (5 hrs)
- CPSC 542 Applied Statistical Methods II (5 hours)
- CPSC 543 Applied Multivariate Statistics (4 hours)
This certificate does not require the CS prerequisite like the M.Eng or other certificates. If a student opts to transfer into the M.Eng in Digital Agriculture program, they will need to meet the CS prerequisite before being admitted to the M.Eng program.
How to Enroll
Applying for this Certificate
To apply for a graduate certificate program, you'll need to start an online application through the University of Illinois Graduate College.
The following items are required for your application:
- Bachelor’s degree: Unofficial transcripts are acceptable. A grade point average (GPA) of 3.0 (A=4.0), or comparable GPA for an international applicant, for the last two years of undergraduate study is a minimum requirement for admission.
- Professional resume: This should include personal information (name, address, telephone number, and email address), academic background, work experience (start and end dates for each position and a brief description of responsibilities), educational training, professional associations, and leadership experiences. Please limit your resume to two pages.
- English proficiency scores (international students only): If you are a non-native English speaker, you must upload your TOEFL or IELTS scores directly to your application. Review the Graduate College’s English proficiency requirements for more details on possible exemptions.
Receiving your Certificate
For all students, after courses are completed, confirm your completion of the requirements.
