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About This Program
The data science associate degree from American Military University (AMU) helps you understand data and how it is used to fuel decision-making in business, health, and other sectors.
AMU’s associate data science program explores these fundamental areas:
- Functional coding and methods
- Analytical methods
- Descriptive, predictive, and prescriptive analytics
- Machine learning
This online associate of science develops your ability to produce data analyses and solutions—all grounded in a thorough understanding of ethics, privacy, and security considerations. You also learn how to tell the story of the data using data visualization tools.Â
This associate degree data science program feeds directly into AMU’s bachelor’s degree in data science.Â
NOTE:Â This program has specific admission requirements. Completion of this program does not award any professional certifications, but may be helpful in preparing to earn such certifications.
What You Will Do
- Gather appropriate data for a specified need and pre-process it
- Evaluate a variety of ways to conduct a data analysis
- Create and communicate to both technical and nontechnical audiences a comprehensive report with results
- Explain the ethical, privacy, and security issues related to data science analyses and communication
Degree at a Glance
Number of Credits
60
Cost Per Credit
$360 | $250*
$324**
$324**
Courses Start Monthly
Online
-
Want to Learn More?
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Program Requirements Printable Catalog Version
Must take the following in this Section:
Course ID: 5037
|
Information and Digital Literacy is designed to provide students with sustainable and usable skills essential to success in both academic and professional settings. Students will learn best practices to locate and evaluate sources, and effectively communicate using digital literacy to become proficient 21st century learners.
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Course ID: 4951
|
Martin Luther King, Jr, said, “If you can’t fly, then run. If you can’t run, then walk. If you can’t walk, then crawl. But whatever you do, you have to KEEP MOVING.” Making Writing Relevant is a composition course that will definitely keep you moving. It is not merely a required course; it is the type of course you will want to take because it moves you onto the path to success. Over eight-weeks, we will help you learn the most important components of a successful writer-communicator. We will teach you how to research properly, knowing you will need this skill in every course you take here at APUS and also in interactions in your professional and personal life. We will teach you the formatting style you will use in your field. We will provide a supportive community to strengthen and encourage you, and by the end of this nearly-all-you-need-to-know-about-writing course, you will be able to fly.
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Must take the following in this Section:
Course ID: 3285
|
This course begins with a study of limits and continuity, which leads into the study of derivatives. Students will be taught to find the derivative of many functions using a variety of methods, including power rule, product rule, and chain rule.
Students will then learn how to tackle several different applications of derivatives, including optimization, curve sketching, approximations, and related rates. Finally, students will be introduced to integration and how it can be used to determine areas. (Prerequisite: MATH111, MATH112, or an equivalent course)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Must take all courses for this section.
Course ID: 5077
|
This course provides students with the basic knowledge and skills to handle and analyze data using a variety of methods, as well as different programming languages and tools. Students are introduced to current industry standard data analysis packages and tools – such as those in R/RStudio, Python, and Structured Query Language (SQL) – to prepare them for higher-level courses that rely heavily on the use of these analytic tools. (Prerequisites: MATH302 and MATH220)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Course ID: 5078
|
This course provides students with the basic toolkit of statistical methods and models that practitioners use for regression, analysis of variance, and linear models. This toolkit could be based on Python® or on R. Topics include descriptive statistics/data summaries, inference in simple and multiple linear regression, residual analysis, estimation and testing of hypothesis, transformations, polynomial regression, model building with real data, nonlinear regression and linear models. The course is not mathematically advanced but covers a large volume of material. (Prerequisites: DATS200, MATH302 and MATH220)
Python® is a registered trademark of the Python Software Foundation.
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
Course ID: 5079
|
This course provides an overview of data science including a foundation in research methodology. Data science is a data-driven process that provides descriptive, predictive, and prescriptive insight. Whether reporting on historical information or making predictions about future events, the goal of data science is to add value through analysis that informs. To meet this goal this course introduces a range of tools and methods including supervised and unsupervised techniques. These include techniques such as classification, rule-based association techniques, support vector machines, K-nearest neighbor, regression, and clustering techniques such as K-Means. (Prerequisite: DATS201)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
Course ID: 5139
|
Exploratory data analysis (EDA) plays a crucial role in the first stages of analysis. That is, the data determine what the appropriate analysis technique is rather than an analysis technique being applied to the data. During this course students develop skills in all aspects of exploratory data analysis including a wide variety of tools and techniques for pre-processing and cleaning data, including big data. This course also introduces students to evaluating and plotting/graphing data to evaluate the content and integrity of a data set. (Prerequisite: DATS200)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
Course ID: 5140
|
One of the most important functions in data science is the communication of the meaning in data. Data visualization is a core competency that enables that communication. This course introduces students to best practices in the visual and graphical representation of data and meaning. Design principles are emphasized as skills in visual communication develop. The specific tools and methods used in this course will vary depending on current industry standards and preferences. (Prerequisite: DATS200)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
Course ID: 4538
|
This course presents vectors, matrices, determinants, eigenvalues, and eigenvectors; and how these concepts may be used and applied. The emphasis of the course will be on understanding the concepts and methods of linear algebra, as well as solving problems and understanding how linear algebra is used in real world applications. (Prerequisite: MATH225)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Course ID: 4085
|
This course builds on the concepts introduced in Calculus I and will expand students’ ability to integrate more functions using a variety of techniques, including substitution, integration by parts, and trigonometric substitutions. These skills are then used to find the area between curves, the volume of shapes created by rotating area, arc length, and surface area. The course also introduces sequences and series and includes several methods for determining when the series and sequences converge. (Prerequisite: MATH225)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Course ID: 4081
|
This course is designed to extend calculus concepts to functions with more than two variables. Students will perform vector calculations encompassing operations such as the dot product and cross product. They will also use these skills in several applications, including arc length and motion.
Students will then apply their calculus skills to multivariable equations to find the partial derivatives and double and triple integrals. Finally, they will apply their vector skills to vector calculus and work with vector fields, line integrals, and surface integrals. (Prerequisite: MATH226)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Course ID: 3291
|
This is an interactive course designed to help students achieve a greater understanding of the statistical methods and models available to analyze and solve the wide variety of problems encountered in business, science, medicine, education, the social sciences, and other disciplines. Successful completion of this course will provide students with a working knowledge of the principles of both descriptive and inferential statistics, probability, averages and variations, normal probability distributions, sampling distributions, confidence intervals, statistical hypothesis tests, and correlation and regression analyses. The emphasis of the course will be on the proper use of statistical techniques and their application in real life -- not on mathematical proofs. This course will use Microsoft Excel for some of the work. Students should have a basic familiarity with Excel and have access to this software application. MATH120 is the recommended mathematics general education course for students who will be required to take additional statistics courses such as MATH302 Statistics as part of their program of study. (Prerequisites: MATH110, MATH111, MATH120, or MATH225)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 02/23/26 - 07/31/26 | 08/03/26 - 09/27/26 | Summer 2026 Session I | 8 Week session |
| 04/27/26 - 10/02/26 | 10/05/26 - 11/28/26 | Fall 2026 Session B | 8 Week session |
| 05/25/26 - 10/30/26 | 11/02/26 - 12/27/26 | Fall 2026 Session I | 8 Week session |
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Select any courses that have not been used to fulfill major requirements. Credits applied toward a minor or certificate in an unrelated field may be used to fulfill elective credit for the major.
Must take all courses for this section.
Course ID: 5141
|
This course is intended to be the last course taken prior to completing the Associate of Science in Data Science program of study. Students will work as a team to acquire and analyze data to address a specified challenge or problem. This course stresses critical thinking in analyzing data with a focus on implementation of potential solutions within a given context. Challenges or problems assigned in this course involve real-world, complex situations such as large natural disasters, broad financial incidents or pandemics, planning for policy discussions at the state, regional or national level, etc. (Intended to be the last course in the program)
| Registration Dates | Course Dates | Session | Weeks |
|---|---|---|---|
| 06/29/26 - 12/04/26 | 12/07/26 - 01/31/27 | Fall 2026 Session D | 8 Week session |
Admission Requirements
- Applicants must have completed preparation in mathematics equivalent to pre-calculus or higher. A review of high school or college transcripts showing completion of this requirement will be conducted during the admission process.
- All AMU undergraduate programs require a minimum of a high school diploma or equivalent (i.e., GED). Please read all undergraduate admission requirements before applying to this program and be prepared to submit the required documentation.
- There is no fee to complete the AMU admission application. View steps to apply.
Need Help?
Selecting the right program to meet your educational goals is a key step in ensuring a successful outcome. If you are unsure of which program to choose, or need more information, please contact an AMU admissions representative at 877-755-2787 or [email protected].
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Maryland Residents learn more about costs, completion rates, median debt, and more.
2Alumni Graduated with No APUS-incurred Student Loan Debt As of December 31, 2021
Includes alumni who graduated with an associate, bachelor's, or master's degree from APUS. Student loan debt is defined as student loans and private education loans used for tuition, fees, living expenses, and book costs associated with courses taken at APUS. Many APUS students receive military tuition assistance and veterans education benefits, which are not student loan debt.
1The University reserves the right to accept or deny credits according to policies outlined on our University website. Please see the University's transfer credit policy webpage for complete information.
*Cost Per Credit Hour
The Preferred Military Rate is $250 per credit hour for undergraduate and master's-level courses. This rate is available to all U.S. active-duty servicemembers, National Guard members, Reservists, and military families, including parents, spouses, legal partners, siblings, and dependents.
See all military student benefits.
Cost of Attendance
Learn more about AMU’s cost components and full cost of attendance.
