Behavioral Data Analytics Certificate

The University of North Dakota, founded in 1883 and located in Grand Forks, combines a long academic tradition with a strong emphasis on research and professional preparation. UND is especially well known for its aviation and aerospace programs, hosting one of the largest collegiate flight training operations in the United States, alongside robust offerings in engineering, health sciences and the humanities. The campus fosters a collaborative research culture and a supportive community for a student body of more than 13,000.

UND supports interdisciplinary research through numerous centers and institutes that give students access to hands-on projects, applied laboratories and faculty-led innovation. Academic programs balance theoretical foundations with experiential learning, allowing students to engage in internships, clinical placements and industry partnerships. Faculty mentorship, coupled with a broad array of degree options, helps students develop both technical expertise and transferable skills valued by employers.

International students find UND appealing for its specialized programs, supportive services and active campus life in Grand Forks. Aviation students benefit from extensive flight training infrastructure, while learners in health and engineering access strong clinical and laboratory resources. With a focus on practical experience, research opportunities and career-oriented advising, the University of North Dakota prepares graduates to enter competitive fields and contribute to innovation in their chosen professions.

The Behavioral Data Analytics Certificate is a non-degree program for students who want to develop quantitative research skills and learn to harness the power of big data and data analytics. It's offered by the University of North Dakota and takes one year to complete. The main advantage of this program is that it helps students forecast future consumer behavior through predictive modeling.

The curriculum focuses on teaching students how to collect and analyze data, as well as how to use predictive modeling to forecast future consumer behavior. Students will develop skills in data analysis, statistical modeling, and research methods. The program also includes hands-on components, where students will work with real-world data to practice their skills.

Graduates of this program can pursue careers as Data Analysts, Business Intelligence Developers, Quantitative Researchers, Marketing Analysts, or Operations Researchers. They can work in various industries, including finance, healthcare, and retail, and can be employed by companies, non-profit organizations, or government agencies.