Program Quick Facts
Obtain the technical skills you need to further your career in data analytics.
Flexible, online classes make it easier to reach your goals while balancing work and family life.
NMSU Global Campus offers competitively priced tuition and scholarship opportunities.
Elevate Your Knowledge in the Domain of Data Analytics
The Master of Data Analytics at NMSU Global Campus provides complex technical knowledge that prepares you for advancement in your career. In this 100% online program, you’ll learn how to analyze large, diverse data sets and develop effective ways to communicate your solutions to audiences of all backgrounds. By the time you’ve completed our flexible, affordable master’s program, you’ll know how to apply mathematical models, computational thinking, and programming skills to real-life data analysis problems.Apply Now
NMSU Global Campus graduates with a Master of Data Analytics are highly qualified to pursue the following positions:
- Analytics Officer
- Business Intelligence Analyst
- Computer Systems Design
- Data Analyst
- Data Scientist
- Financial and Operational Analysts
- Healthcare Analysts
- Scientific Researcher
- System Analysts
- Technical Consulting
“As an 18 year old, I found NMSU to be one of the most inviting campuses — rich in student life yet equally involved in academics. As a 36 year old, I am looking forward to coming full circle with NMSU and graduating as an Aggie forever.”
Stephanie M., Class of 2024
The Master of Data Analytics program provides you with a deep understanding of data management and analysis, computational and statistical thinking, and computer systems.
In this interdisciplinary program, you’ll learn how to apply the theories, methodologies, and tools of various fields — including mathematics, statistics, and computer science — to diverse data-rich domains, such as life science, medicine, physical science, social science, engineering, business, and education.
Delivery Format: 100% online
Program Credits: 30 credits
Program Length: 1.5-2 years; up to 3-4 years part-time
Cost Per Credit Hour: $444.40*
Active Military Cost Per Credit Hour: $250*
College: Arts and Sciences
Program Contact: Huiping Cao or Tuan Le
The Master of Data Analytics program is composed of 30 graduate credits and offers two possible options. Students may choose to pursue the general Data Analytics program or to complete the program with the Digital Agriculture concentration, which requires 12-14 credit hours in that area.
The admission requirements for the degree program include:
- A 3.0 GPA
- A personal statement
- A resume
- An unofficial transcript
- A minimum mathematical preparation level of Linear Algebra (MATH 2415: Introduction to Linear Algebra) or an equivalent course (such as E E 200: Linear Algebra, Probability and Statistics Applications)
|C S 453: Python Programming I||3|
|A ST 511: Statistical Methods for Data Analytics||3|
|C S 508: Introduction to Data Mining||3|
|ICT 458: Web Development and Database Applications||3|
|BCIS 575: Database Management Systems||3|
At NMSU Global Campus, we strive to offer competitively priced tuition to keep your tuition costs affordable. If you need financial aid, we’re ready to work with you to determine the best ways to finance your education.
Financial assistance includes loans, grants, and scholarship opportunities. To apply, use NMSU’s convenient Scholar Dollar$ one-stop scholarship application, which serves all students in the NMSU system.
NMSU and NMSU Global Campus students are also eligible for loans and grants. The first step in applying for financial aid is to complete a Free Application for Federal Student Aid (FAFSA). Learn more about financial aid opportunities at NMSU.
Contact Financial Aid
*For NMSU Global Campus programs and courses, the per credit hour cost is listed above. Special tuition agreements (Western Undergraduate Exchange, Descubre, etc.) are not applicable to NMSU Global Campus programs. Course fees still apply and are charged separately. Textbooks, uniforms, equipment, etc., are additional program costs. Additional per credit costs might be charged by the program, department or college.