ABOUT
The School of Computing and Engineering is a dynamic and forward-thinking academic unit committed to excellence in teaching, research, and innovation. It serves as a hub where science, technology, creativity, and problem-solving converge to address complex global challenges and prepare the next generation of leaders in the digital and industrial age.
The School of Computing and Engineering currently offers the following degree programs while contributing to the PhD in Business Innovation:
DEGREE PROGRAMS
Master of Science in Smart Manufacturing
Program Description
The MS in Smart Manufacturing prepares students to lead in the new era of Industry 4.0. Students master cutting-edge technologies like digital twins, artificial intelligence, and computational modeling, while applying leadership and sustainability principles to real-world manufacturing challenges. Through project-based learning, students can launch ventures or drive transformation within existing organizations, all while earning experience and impact.
Admission Requirements
Applicants must hold a bachelor’s degree (or equivalent) in a science, technology, engineering and mathematics (STEM) field and demonstrate proficiency in English. We welcome applicants from STEM backgrounds who are eager to innovate and make an impact in manufacturing. . Non-STEM field degree holders must possess a relevant STEM training or certificate. A strong appetite for entrepreneurship, technology application, and sustainability leadership is highly encouraged. 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..
Program Courses
The MS in Smart Manufacturing offers a dynamic, future-focused curriculum blending technical excellence with leadership and entrepreneurial skills. Students build a strong foundation in computational physics-based modeling, digital twin technology, and AI applications while mastering smart factory and Industry 4.0 practices. Courses in sustainable leadership, python for data analytics, and Ubuntu Mind ground technical knowledge in ethical innovation. Through project-based experiential learning, students work on real manufacturing challenges, preparing to launch ventures or lead technological transformations in advanced manufacturing.
COURSES
CSIS 500 Python for Data Analytics
BICE 502 Sustainable Leadership
ENGR 500 Computational Physics-Based Modeling
ENGR 501 Digital Twin Technology
CSIS 504 Artificial Intelligence
ENGR 503 Industry 4.0 and the Smart Factory
BICE 500 Project-Based Experiential Course
Total Credits: 30
Master of Science in Data Science and Information Systems
Program Description
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.
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.
Program 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.
COURSES
CSIS 500 Python for Data Analytics
BICE 502 Sustainable Leadership
CSIS 501 Database Management
CSIS 502 Data Ethics and Governance
CSIS 504 Artificial Intelligence
CSIS 505 Cloud Computing
BICE 500 Project-Based Experiential Course
Total Credits: 30
Bachelor of Science in Business Manufacturing
Program Description
The BS in Manufacturing Business is designed for future entrepreneurs, plant managers,
business leaders, and innovators who want to combine business entrepreneurship with the
technical knowledge needed to lead modern manufacturing enterprises. It’s ideal for students
passionate about creating or working in sustainable, profitable manufacturing ventures. The
program requires 120 credits, including 30 credits in general education. The BS program is
divided into three phases: Discovery, Journey, and Mastery, with Discovery and Journey
providing students with a solid business entrepreneurship foundation.
Admission Requirements
Applicants must have completed secondary education (or equivalent) and demonstrate a competency in English. We welcome candidates with a strong background in science, technology, and mathematics. An ambition to create impact through manufacturing excellence is a plus. Osiri University will accept up to 60 credits (approximately 20 undergraduate courses) previously taken courses at other universities towards an undergraduate degree. Exemptions may be made on a case-by-case basis.
To begin the enrollment process, please upload a copy of your high school diploma/secondary school certificate or equivalent or an unofficial statement of results showing the subjects you have completed in high/secondary school, along with the administrative fee. After starting classes, ensure that official transcripts/results 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 Courses
The BS in Manufacturing Business blends core business principles with essential manufacturing technology skills. Students learn how to design, lead, and innovate manufacturing businesses that leverage smart technologies and sustainable practices. Through project-based experiences, students gain the tools to launch their own ventures or transform existing manufacturing companies.
COURSES
HUMA 300 Ubuntu Mind (GedEd)
BICE 102 Principles of Management
BICE 103 Introduction to Entrepreneurship and Venture Creation
BICE 104 Media Writing (GedEd)
BICE 105 Global Issues (GedEd)
BICE 201 Global Entrepreneurial Environment
BICE 106 Basic Mathematics (GedEd)
BICE 107 Financial Literacy (GedEd)
BICE 202 Entrepreneurial Marketing
BICE 203 Entrepreneurship and Innovation
CSIS 101 Introduction to Computers (GedEd)
BICE 108 Principles of Project Management (6 credits)
BICE 204 Principles of Economics (6 credits) (GenEd)
Total Credits: 45
BICE 300 Principles of Communication (GedEd)
BICE 205 Theories of Entrepreneurship
BICE 301 Business Strategy for Sustainability
BICE 302 Sustainable Leadership
BICE 206 Statistics (GedEd)
BICE 303 Supply Chain Management
CSIS 302 Data Ethics and Governance
HUMA 210 Happiness (GenEd)
BICE 304 Global Sustainable Human Resource Management
BICE 305 Law and Ubuntu
BICE 207 Biographical Studies of Entrepreneurial Thinkers and Giants
BICE 306 Leading with Accounting and Finance
BICE 401 Business Opportunity Scouting and Evaluation (6 credits)
Total Credits: 42
BICE 401 International Business and Management (6 credits)
CSIS 500 Python for Data Analytics
ENGR 500 Computational Physics-Based Modeling
ENGR 501 Digital Twin Technology
ENGR 502 Manufacturing Technology and Process
CSIS 504 Artificial Intelligence
ENGR 503 Industry 4.0 and the Smart Factory
BICE 403 Social Entrepreneurship and Community Development (6 credits)
Total Credits: 30
Bachelor of Science in Business Intelligence and Information Systems
Program Description
The BS in Business Intelligence and Information Systems prepares students to lead in a data-driven world. It combines core business education with in-demand technical skills, including Python, AI, data science, and cloud computing. Through real-world projects and cutting-edge tools, students learn to transform data into insight, and insight into impact.
Admission Requirements
Open to students with a high school diploma/secondary school certificate or equivalent who are passionate about innovation and making a difference in their communities. Applicants must demonstrate English proficiency. No standardized test scores required, just your commitment, curiosity, and bold ideas. We welcome creative thinkers from all backgrounds with the courage to learn by doing and who want to use data for good. Osiri University will accept up to 60 credits (approximately 20 undergraduate courses) previously taken courses at other universities towards an undergraduate degree. Exemptions may be made on a case-by-case basis.
To begin the enrollment process, please upload a copy of your high school diploma/secondary school certificate or equivalent or an unofficial statement of results showing the subjects you have completed in high/secondary school, along with the administrative fee. After starting classes, ensure that official transcripts/results 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 Courses
Students in this program explore the intersection of business strategy and cutting-edge technology. Courses cover Python for data analysis, data science, database systems, AI, and cloud computing, alongside core business topics such as entrepreneurship, leadership and operations. Emphasizing hands-on learning, students tackle real data challenges from organizations and startups, preparing them for careers as analysts, consultants, or system managers. By graduation, students will be equipped to turn complex data into strategicdecisions that drive business performance and ethical impact.
COURSES
HUMA 300 Ubuntu Mind (GedEd)
BICE 102 Principles of Management
BICE 103 Introduction to Entrepreneurship and Venture Creation
BICE 104 Media Writing (GedEd)
BICE 105 Global Issues (GedEd)
BICE 201 Global Entrepreneurial Environment
BICE 106 Basic Mathematics (GedEd)
BICE 107 Financial Literacy (GedEd)
BICE 202 Entrepreneurial Marketing
BICE 203 Entrepreneurship and Innovation
CSIS 101 Introduction to Computers (GedEd)
BICE 108 Principles of Project Management (6 credits)
BICE 204 Principles of Economics (6 credits) (GenEd)
Total Credits: 45
BICE 300 Principles of Communication (GedEd)
BICE 205 Theories of Entrepreneurship
BICE 301 Business Strategy for Sustainability
BICE 302 Sustainable Leadership
BICE 206 Statistics (GedEd)
BICE 303 Supply Chain Management
CSIS 302 Data Ethics and Governance
HUMA 210 Happiness (GenEd)
BICE 304 Global Sustainable Human Resource Management
BICE 305 Law and Ubuntu
BICE 207 Biographical Studies of Entrepreneurial Thinkers and Giants
BICE 306 Leading with Accounting and Finance
BICE 401 Business Opportunity Scouting and Evaluation (6 credits)
Total Credits: 42
BICE 401 International Business and Management (6 credit)
CSIS 300 Python for Data Analytics
CSIS 301 Database Management
CSIS 303 Data Science and Analytics
CSIS 304 Artificial Intelligence
CSIS 305 Cloud Computing
BICE 402 Research Methods (6 credits)
BICE 403 Social Entrepreneurship and Community Development (6 credits)
Total Credits: 30
GRADUATE CERTIFICATES
- CSIS 540 Cybersecurity (8 weeks)
- CSIS 560 Data Science and Analytics (8 weeks)
- CSIS 530 Computer Networking and Data Communication (available in the summer)
- CSIS 570 Artificial Intelligence (8 weeks)
- CSIS 510 Internet of Things (8 weeks)
- CSIS 580 Machine Learning
INSTRUCTORS
Christopher Bamidele
Dr. Chioma Bedford-Fubara
Dr. Fredrick Ezeh
Timothy A. Ogunleye
Wise Osagie
Dr. Eddie Salakpi
