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Master of Science (MS) in Smart Manufacturing
The MS in Smart Manufacturing is designed for engineers, technology specialists, business professionals with STEM backgrounds, and STEM entrepreneurs who want to lead the future of manufacturing through innovation, digital transformation, and sustainable practices. Students learn to create, optimize, and automate advanced manufacturing systems while launching entrepreneurial solutions.
In this section
Overview
The MS in Smart Manufacturing equips students to excel in Industry 4.0. Graduates master cutting-edge technologies such as digital twins, artificial intelligence, and computational modeling, while applying sustainable leadership principles to real-world manufacturing challenges. Through project-based learning, students can launch ventures or drive transformation within existing organizations, gaining practical experience and impact along the way.
What You'll Learn
Graduates become pioneers in smart manufacturing innovation, capable of building the factories of the future and launching ventures that make a real-world impact:
Apply digital twin technology and AI to modern manufacturing systems
Develop smart factories that are efficient, scalable, and sustainable
Lead innovation and digital transformation in manufacturing organizations
Design entrepreneurial manufacturing solutions with measurable impact
Admission Requirements
Bachelor’s degree in STEM or equivalent preferred
Non-STEM applicants must show relevant STEM coursework or certification
English proficiency
Transfer Credits: Up to 9 graduate credits (≈3 courses)
Curriculum / Courses
The MS in Smart Manufacturing blends technical mastery with leadership and entrepreneurial skills. Students gain expertise in computational physics-based modeling, digital twin technology, AI applications, and smart factory practices, while courses in sustainable leadership, Python for data analytics, and Ubuntu Mind ensure ethical innovation. Project-based experiential learning prepares students to launch ventures or lead technological transformations in advanced manufacturing.
- HUMA 570 Ubuntu Mind
- CSIS 500 Python for Data Analytics
- BICE 502 Sustainable Leadership
- 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 500 Project-Based Experiential Course
Total Credits: 30
University Application Process
Step 1: Check Admission Requirements
Review the entry requirements for your chosen degree program.
Verify if any additional selection criteria apply.
Step 2: Submit Your Application
Complete and submit your application online through the Osiri University Student Portal.
Upload all required documents, including transcripts, certificates, and proof of English proficiency.
Pay the administrative fee applicable to your program.
Step 3: Application Assessment
An admissions consultant will be assigned to your application upon submission.
Applicants can track the progress of their application via the Self-Service Portal.
Compliance with minimum requirements does not guarantee admission, as placement depends on program availability, academic results, and other criteria.
Key Program Information
Delivery Mode: 100% online (all students are international)
Administrative Fee: $600 per year for most programs; some programs like Education: $2,400 per year
Program Duration: Typically 1 year for master’s programs, 3–5 years for PhD programs
Transfer Credits: Up to 9 graduate credits (case-by-case evaluation)
Support: Access to mentors, academic advisors, preparatory resources, and project-based learning opportunities
Enquiries:
Email: kaabo@osiriuniversity.org
Phone: +1 (531) 248 1863
Program Highlights:
Self-paced online learning
Live lectures (recorded if missed)
9 courses
Complete program in less than a year
Annual Fee:
$600 per year (or $50/month for 11 months, then $100 in the 12th month)
Application Deadline:
15 May 2025
Classes Start:
1 June 2025
Enquiries
Email: kaabo@osiriuniversity.org
Phone: +1 (531) 248 1863