Data Analytics (Digital Agriculture) - Master of Data Analytics (Online)

The curriculum for the degree program is composed of 30 graduate credits.

Prefix Title Credits
Foundation
CSCI 4520Python Programming I3
or CSCI 4525 Python Programming II
A ST 511Statistical Methods for Data Analytics3
Select one of the following courses3
R Programming I3
Statistical Analysis with R3
Methodologies
CSCI 5415Introduction to Data Mining3
CSCI 5420Applied Machine Learning I3
or E E 565 Machine Learning I
Select one of the following courses3
Database Management Systems I3
Database Management Systems3
Web Development and Database Applications3
Advanced Topics and Applications
Choose nine credits from the following:9
Applied Multivariate Analysis3
Computational Statistics3
Advanced Methods in Astrophysics3
Business Analytics II3
Advanced Bioinformatics and NCBI Database3
Computer Graphics I3
Advanced Software Development Concepts
Bioinformatics Programming3
Bioinformatics3
Advanced Software Engineering3
Digital Image Processing3
Characterizing Time-Dependent Engineering Data3
Business Analytics I
Stochastic Processes Modeling3
Queuing Systems
Design and Implementation of Discrete-Event Simulation3
Multimedia Theory and Production3
Seminar in Communication Technologies
Fourier Series and Boundary Value Problems3
Elementary Stochastic Processes
Seminar in Social Networks3
Seminar in Text Analysis for the Social Sciences3
Seminar in Data Visualization3
Instrumentation in Agronomy3
Advanced Agricultural Mechanization3
Advanced Soil Physics3
Capstone Experience
Select one of the following courses3
Master's Project1-6
Master's Thesis1-15
Special Research Problems3
Master's Technical Report3
Master's Thesis3
Internship
Specific Requirement for Digital Agriculture Concentration
Introduction to Data Mining3
Advanced Soil Physics3
Advanced Agricultural Mechanization3
Instrumentation in Agronomy3
Total Credits30

A Suggested Plan of Study

Additional classes may be needed based on placement test results and course prerequisites. Visit with an advisor for help with creating a customized plan.

Plan of Study Grid
First Year
FallCredits
A ST 511 Statistical Methods for Data Analytics 3
CSCI 4520 Python Programming I 3
CSCI 5415 Introduction to Data Mining 3
 Credits9
Spring
CSCI 5420 Applied Machine Learning I 3
CSCI 4530 R Programming I 3
Take one of the following 3
Advanced Agricultural Mechanization  
Advanced Soil Physics  
Instrumentation in Agronomy  
 Credits9
Second Year
Fall
Two remaining Digital Agriculture Courses 6
CSCI 5140
Database Management Systems I
or Web Development and Database Applications
3
 Credits9
Spring
Choose onf from the following 3
Master's Project  
Master's Thesis  
Special Research Problems  
Master's Technical Report  
Master's Thesis  
Internship  
 Credits3
 Total Credits30