Master of Science in
Data Analytics
Earn your degree while gaining paid practical experience. Additionally, you qualify for Day 1 CPT and STEM OPT work eligibility.
Join a MS in Data Analytics in the USA!
The Executive MS Data Analytics Degree (MSDA) is a STEM-designated program. Specifically, EduConnect USA offers this through a partnership with Alliant University. It features a hybrid schedule and practical industry experience. Furthermore, we support you in securing paid off-campus positions in the U.S.
Start Dates: January, March, May, July, August, October
Program Length: 12-16 months. Notably, you can receive up to 3 years of work authorization after graduation.
$5,500 Grant Available
Hybrid Course Schedule
Day 1 CPT and STEM OPT Up To 3 Years After Graduation
Discover the Benefits
This STEM field prepares you to excel in the growing technology sector. Specifically, you’ll learn to decipher data and create meaningful business intelligence. Organizations rely on these skills to reduce costs and design new products. Because work experience is embedded in the program, you can earn an income while studying. Consequently, you can make a difference in your organization while earning your degree.
Work While Studying
First, work in paid roles with top U.S. employers through CPT and OPT eligibility. Then, pay your program costs in small, interest-free payments. We allow you to spread these costs over two years.
Campus Options
Whether you choose Los Angeles or San Diego, both campuses offer unique lifestyle benefits. Alternatively, you may study and work from any U.S. state. Our hybrid schedule combines online courses with two on-campus requirements each term.
Master of Science in Data Analytics Concentration Options
Healthcare Analytics
This concentration targets the expertise required in modern healthcare environments. In particular, it provides a clear understanding of practical decision-making. Students learn techniques to work with diverse data sets and analytics platforms. Moreover, you will use reporting tools to improve the delivery of quality healthcare.
Informatics
Within this concentration, students focus on enterprise-level information management. Specifically, you will learn modeling methods for extracting and loading data. Then, you will transform that data into essential reports and visualizations. As a result, you can establish data-driven recommendations that align with stakeholder objectives.
Frequently Asked Questions
What kind of jobs can I get with a MS in Data Analytics?
With this degree, you can build a career in many specialized fields. For example, you could become a data scientist, consultant, or project manager. Additionally, many graduates work as data architects or big data engineers. Finally, roles like qualitative analyst and modeler are also excellent options.
How do I make my tuition payments?
To assist you, we divide program costs into small, interest-free payments. Typically, you make these payments every two weeks over two years. Once you submit your down payment, our system automatically splits the remaining balance. Therefore, you can pay manageable installments while you study and work.
How does the hybrid schedule work?
Generally, you complete most coursework online. However, you must come to campus twice each 8-week term. Specifically, the first requirement is during Week 1. Then, the second requirement occurs during Week 8. Fortunately, you can choose to attend these sessions in Los Angeles or San Diego.
What concentrations are offered?
The Executive MSDA includes two concentrations. First, Healthcare Analytics focuses on interpreting clinical data. Second, Informatics centers on data systems and workflows. Both options prepare you for data-driven roles in the healthcare and tech industries.
How long does it take to complete the program?
The executive formate MSDA is a 33-credit program. On average, it takes approximately 12 months to complete. After you graduate, you gain STEM OPT eligibility. Consequently, this allows you to continue working in the U.S. for up to three additional years.
