Data Analytics - Master of Data Analytics (Online)
The curriculum for the degree program is composed of 30 graduate credits. It is divided into different categories. One course can be used to satisfy only one category.
| Prefix | Title | Credits |
|---|---|---|
| Foundation | ||
| CSCI 4520 | Python Programming I | 3 |
| or CSCI 4525 | Python Programming II | |
| A ST 511 | Statistical Methods for Data Analytics can be replaced by (A ST 505 and A ST 507) | 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 | |
| Solar Astrophysics | 3 | |
| Advanced Bioinformatics and NCBI Database | 3 | |
| Business Analytics II | 3 | |
| Enterprise Resource Planning & Business Processes | 3 | |
| Python Programming II | 3 | |
| Computer Science I Transition | 3 | |
| Introduction to Data Structures Transition | 3 | |
| Computer Graphics I | 3 | |
or ICT 460 | Advanced Software Development Concepts | |
| Bioinformatics Programming | 3 | |
| Bioinformatics | 3 | |
| Database Management Systems II | 3 | |
| Photovoltaic Devices and Systems | 3 | |
| Selected Topics (Numerical Computational Methods for Smart Grid) | 1-9 | |
| 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 5220 | 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 | |
| Capstone Experience | ||
| Select one of the following courses can be replaced by a course from Advanced Topics and Applications | 3 | |
| Master's Project | 1-6 | |
| Special Research Problems | 1-6 | |
| Master's Thesis | 1-15 | |
| Independent Study | 1-3 | |
| Special Research Problems | 3 | |
| Independent Study | 1-3 | |
| Master's Technical Report | 3 | |
| Special Research Programs | 1-3 | |
| Special Research Problems | 1-3 | |
Internship | ||
| 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 |
| One Elective Course from the list of Advanced Topics and Applications courses | 3 | |
| Credits | 9 | |
| Second Year | ||
| Fall | ||
| Two Elective Courses from the list of Advanced Topics and Applications courses | 6 | |
| CSCI 5140 or ICT 458 | Database Management Systems I or Web Development and Database Applications | 3 |
| Credits | 9 | |
| Spring | ||
| Choose one from the capstone experience group or one from the Advanced Topics and Applications group | 3 | |
| Credits | 3 | |
| Total Credits | 30 | |
