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 4520 | Python Programming I | 3 |
or CSCI 4525 | Python Programming II | |
A ST 511 | Statistical Methods for Data Analytics | 3 |
Select one of the following courses | 3 | |
R Programming I | 3 | |
Statistical Analysis with R | 3 | |
Methodologies | ||
CSCI 5415 | Introduction to Data Mining | 3 |
CSCI 5420 | Applied Machine Learning I | 3 |
or E E 565 | Machine Learning I | |
Select one of the following courses | 3 | |
Database Management Systems I | 3 | |
Database Management Systems | 3 | |
Web Development and Database Applications | 3 | |
Advanced Topics and Applications | ||
Choose nine credits from the following: | 9 | |
Applied Multivariate Analysis | 3 | |
Computational Statistics | 3 | |
Advanced Methods in Astrophysics | 3 | |
Business Analytics II | 3 | |
Advanced Bioinformatics and NCBI Database | 3 | |
Computer Graphics I | 3 | |
or ICT 460 | Advanced Software Development Concepts | |
Bioinformatics Programming | 3 | |
Bioinformatics | 3 | |
Advanced Software Engineering | 3 | |
Digital Image Processing | 3 | |
Characterizing Time-Dependent Engineering Data | 3 | |
or BCIS 561 | Business Analytics I | |
Stochastic Processes Modeling | 3 | |
or I E 522 | Queuing Systems | |
Design and Implementation of Discrete-Event Simulation | 3 | |
Multimedia Theory and Production | 3 | |
or COMM 550 | Seminar in Communication Technologies | |
Fourier Series and Boundary Value Problems | 3 | |
or STAT 5230 | Elementary Stochastic Processes | |
Seminar in Social Networks | 3 | |
Seminar in Text Analysis for the Social Sciences | 3 | |
Seminar in Data Visualization | 3 | |
Instrumentation in Agronomy | 3 | |
Advanced Agricultural Mechanization | 3 | |
Advanced Soil Physics | 3 | |
Capstone Experience | ||
Select one of the following courses | 3 | |
Master's Project | 1-6 | |
Master's Thesis | 1-15 | |
Special Research Problems | 3 | |
Master's Technical Report | 3 | |
Master's Thesis | 3 | |
Internship | ||
Specific Requirement for Digital Agriculture Concentration | ||
Introduction to Data Mining | 3 | |
Advanced Soil Physics | 3 | |
Advanced Agricultural Mechanization | 3 | |
Instrumentation in Agronomy | 3 | |
Total Credits | 30 |
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.
First Year | ||
---|---|---|
Fall | Credits | |
A ST 511 | Statistical Methods for Data Analytics | 3 |
CSCI 4520 | Python Programming I | 3 |
CSCI 5415 | Introduction to Data Mining | 3 |
Credits | 9 | |
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 | ||
Credits | 9 | |
Second Year | ||
Fall | ||
Two remaining Digital Agriculture Courses | 6 | |
CSCI 5140 or ICT 458 | Database Management Systems I or Web Development and Database Applications | 3 |
Credits | 9 | |
Spring | ||
Choose onf from the following | 3 | |
Master's Project | ||
Master's Thesis | ||
Special Research Problems | ||
Master's Technical Report | ||
Master's Thesis | ||
Internship | ||
Credits | 3 | |
Total Credits | 30 |