Program(s) Available: M.S., Grad Cert
The Master of Science in Data Analytics program from Northwest Missouri State University readies you for a rewarding career using technology techniques to identify, collect, analyze and transform data. Besides acquiring experience in top programming languages, you will also gain hands-on practice with leading data analysis software and platforms. This online program is taught by experienced and dedicated faculty who will support your master's degree studies from start to finish. The on-campus program can be completed in 16 months.
The comprehensive curriculum in this master's in data analytics online program prepares you to contribute your expertise by learning how data affects decision-making through real-life project experiences.
Curious about the difference between our M.S. in Data Analytics and our MBA in Business Analytics? Upon completing the M.S. in Data Analytics program, you will be equipped to handle large data sets in a technical capacity, utilizing data science to uncover data-driven solutions. As a data analyst, your role would involve presenting information crucial for organizations to make well-informed decisions. On the other hand, our MBA in Business Analytics focuses on enhancing your comprehension of how data influences decision-making and honing your ability to communicate effectively across all business levels.
**Most software will be free for student use, but there might be nominal fees associated with some of these.
The Data Analytics program is available on campus as a master of science degree as well as a graduate certificate.
Earn your master’s degree or certificate on a schedule that works for you. Online options include
Dr. Joni Adkins
660.562.1803
jadkins@nwmissouri.edu
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Candidates for the M.S. in Data Analytics should meet the following requirements:
Although students from any undergraduate background are eligible for admission to this program, the M.S. in Data Analytics will require becoming familiar with some technical knowledge or skills including awareness of basic scripting or programming as well as how data are collected, processed, stored, analyzed, and presented. Students are encouraged to visit the web-page for more information on this basic knowledge and skills.
Applicants who do not meet these requirements may be admitted by considering the full academic profile and/or professional experience. The GRE is optional but could be used to improve standing for admission to the program. A Master’s degree from an accredited institution with at least a 3.0 GPA could also be used to meet entrance requirements. The Computer Science and Information Systems area reserves the right of final decision in accepting students to graduate degree candidacy in the department. Criteria for admittance to the program and acceptance to degree candidacy may include academic qualifications and performance, number of applicants and available resources.
Some three-year undergraduate degrees are accepted as well. In countries that utilize the backlog system in higher education, students with excessive backlogs may be considered with a GRE score to improve standing for admission. Current information on backlog limits can be found on the department web page.
Before the program director is allowed to review your application, the Graduate School must verify your TOEFL score. The University sets the acceptable TOEFL score as:
