MSc in Smart Manufacturing
Prepares professionals to lead manufacturing transformation through automation, AI, robotics, digital twins, and Industry 4.0 practices.
- Self-paced, online
- Live sessions (recorded)
- 9 courses · 30 credits
- Under one year
Program Description
The MSc in Smart Manufacturing prepares professionals to lead the transformation of manufacturing systems through advanced technologies, automation, artificial intelligence, digital twins, robotics, data analytics, and Industry 4.0 practices. Students develop the technical, managerial, and innovation competencies necessary to improve productivity, sustainability, quality, and competitiveness in modern manufacturing environments. The MS in Smart Manufacturing is designed for engineers, technology specialists, business professionals with science, technology, engineering, and mathematics (STEM) backgrounds, and STEM entrepreneurs who want to lead the future of manufacturing through innovation, digital transformation, and sustainable practices. It’s ideal for those looking to create, optimize, and automate advanced manufacturing systems while launching entrepreneurial solutions. Through project-based learning, students can launch ventures or drive transformation within existing organizations, all while earning experience and impact.
What You’ll Learn
Graduates will be able to:
- Apply Industry 4.0 technologies to manufacturing systems.
- Utilize automation, robotics, and AI to optimize operations.
- Analyze manufacturing data to improve performance and decision-making.
- Design smart manufacturing solutions that enhance efficiency and sustainability.
- Evaluate emerging technologies and their organizational impacts.
- Manage technology-driven manufacturing transformation initiatives.
- Improve quality, productivity, and supply chain performance.
- Lead innovation in advanced manufacturing environments.
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.
3 Credits
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 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 504 — Artificial Intelligence (Elective)
- CENG 508 — Industry 4.0 and the Smart Factory (Elective)
- CENG 509 — Industrial IoT and Connectivity (Elective)
- CENG 510 — Digital Twin Technology and Computational Modeling (Elective)
- CENG 511 — Foundations of Smart Manufacturing (Elective)
- CENG 512 — Manufacturing Technology and Process (Elective)
- HUMA 570 — Ubuntu Mind (Required)