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 | |