OVERVIEW

Lead today’s data-driven world by combing advanced analytics and real-world application. Students gain the skills to turn complex data into actionable insights and to build intelligent systems that drive innovation. The program emphasizes ethical leadership, practical learning, and creation of technology opportunities.

WHAT YOU’LL LEARN

Become a data scientist and a leader in the information systems sector who is poised for impact:
Design, develop and manage intelligent information systems
Apply statistics, machine learning, and artificial intelligence techniques to extract meaningful patterns from complex data.
Build data pipelines, manage databases, and integrate cloud-based information systems.
Understand the ethical, legal, and social implications of data-driven technology and systems management.

ADMISSION REQUIREMENTS

Admission to the MS in Data Science and Information Systems requires a bachelor’s (or an equivalent) and proficiency in English. We welcome applicants from all academic and professional backgrounds, including business and IT professionals, career switchers, and researchers who want to work at the intersection of data analysis, system optimization and real-world applications (like health, agriculture, finance, logistics, educations, etc.). Osiri University will accept up to nine credits (approximately three graduate courses) previously taken courses at other universities towards a master’s degree. Exemptions may be made on a case-by-case basis.

To begin the enrollment process, please upload a copy of your bachelor’s degree (or an equivalent qualification, such as an HND) or an unofficial transcript, along with the administrative fee. After starting classes, ensure that official transcripts are sent to the Registrar via email at [email protected], or mailed to The Registrar, 2737 N. 49th Street, Lincoln, Nebraska, USA, 68504, directly from your former institution.
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CURRICULUM / COURSES

The MS in Data Science and Information Systems offers a dynamic curriculum blending theory with hands-on application. Students begin with foundational courses in python for data analytics and database management and take advanced courses in cloud computing. Through project-based learning, students tackle real-world problems and lead in complex data environments.

HUMA 570 Ubuntu Mind
CSIS 500 Python for Data Analytics
BICE 502 Sustainable Leadership
CSIS 501 Database Management
CSIS 502 Data Ethics and Governance
CSIS 503 Data Science and Analytics
CSIS 504 Artificial Intelligence
CSIS 505 Cloud Computing
BICE 500 Project-Based Experiential Course
Total Credits: 30