MSc in Data Science and Information Systems
Equips students with analytical, technological, and strategic skills to transform data into actionable insights—covering analytics, database management, systems design, and digital transformation.
- Self-paced, online
- Live sessions (recorded)
- 9 courses · 30 credits
- Under one year
Program Description
The MSc in Data Science and Information Systems prepares professionals to leverage data, analytics, artificial intelligence, and information technologies to solve organizational and societal challenges. Students develop competencies in data management, statistical analysis, machine learning, information systems design, cybersecurity awareness, and data-driven decision-making. The program emphasizes practical applications, innovation, and ethical use of data in business, government, and nonprofit organizations. Lead today’s data-driven world by combining 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
Graduates will be able to:
- Collect, manage, analyze, and interpret complex datasets.
- Apply statistical and machine learning techniques to real-world problems.
- Design and evaluate information systems that support organizational objectives.
- Utilize data visualization tools to communicate insights effectively.
- Assess ethical, legal, and security considerations related to data management.
- Develop data-driven solutions that improve organizational performance.
- Evaluate emerging technologies and their business implications.
- Lead data-informed decision-making initiatives.
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 artificial intelligence. Through project-based learning, students tackle real-world problems and lead in complex data environments.
3 Credits
3 Credits
3 Credits
3 Credits
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, education, etc.). Osiri University will accept up to nine credits (approximately three graduate courses) previously taken 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.
Program at a Glance
School
Computing and Engineering
Credits
30
Length
Under 1 year
Format
Online, self-paced
Fee
$65 / 3-credit course
Questions?
Contact the Registrar at [email protected] or visit us at 2737 N. 49th Street, Lincoln, Nebraska, USA 68504.
Courses in This Program
- BICE 500 — Project-Based Experiential Course (Required)
- BICE 502 — Sustainable Leadership (Required)
- CENG 500 — Python for Data Analytics (Elective)
- CENG 501 — Database Management (Elective)
- CENG 502 — Data Ethics and Governance (Elective)
- CENG 503 — Data Science and Analytics (Elective)
- CENG 504 — Artificial Intelligence (Elective)
- CENG 505 — Cloud Computing (Elective)
- CENG 506 — Digital Technology for Sustainable Healthcare (Elective)
- CENG 507 — Introduction to Cybersecurity (Elective)
- HUMA 570 — Ubuntu Mind (Required)
