School of Computing and Engineering
Empowering future technology leaders with cutting-edge expertise in AI, data science, cybersecurity, cloud computing, and smart manufacturing to drive innovation and digital transformation across industries.
About the School
The School of Computing and Engineering equips professionals to lead in a data-driven, automated world. Programs blend rigorous technical training in data science, artificial intelligence, cloud computing, cybersecurity, and Industry 4.0 technologies with the same Ubuntu-grounded ethics and entrepreneurial mindset found across Osiri University. Students learn to turn complex data into actionable insight and to design, deploy, and manage the intelligent, connected systems reshaping business, healthcare, and manufacturing worldwide.
The school's MSc in Data Science and Information Systems prepares students to apply statistics, machine learning, and information systems design to real organizational challenges, while the MSc in Smart Manufacturing focuses on automation, robotics, digital twins, and Industry 4.0 transformation. Undergraduates can pursue the BS in Business Intelligence and Information Systems or the BS in Manufacturing Business, both delivered jointly with the School of Business.
School at Glance
- BS in Business Intelligence and Information Systems andManufacturing Business: 120 credits minimum.
- MSc programs (Data Science & Information Systems, Smart Manufacturing):
- Courses span Python for data analytics, AI, cloud computing, database management, cybersecurity, digital twin technology, and industrial IoT.
- Hands-on labs use industry-standard tools including Docker, Kubernetes, and major cloud platforms.
- Up to nine transfer credits accepted toward a master's degree from prior university coursework.
- Graduates are prepared for roles in data analysis, business intelligence, IT management, and advanced manufacturing leadership.
Programs
Bachelor's
Equips students with analytical, technological, and strategic skills to transform data into actionable insights—covering analytics, database management, systems design, and digital transformation.
120 credits
Bachelor's
Prepares students to lead and innovate in manufacturing industries by combining business management with production systems, supply chain operations, and smart manufacturing technologies.
120 credits
Master's
Equips students with analytical, technological, and strategic skills to transform data into actionable insights—covering analytics, database management, systems design, and digital transformation.
30 credits
Master's
Prepares professionals to lead manufacturing transformation through automation, AI, robotics, digital twins, and Industry 4.0 practices.
30 credits
Courses
CENG 404
A comprehensive introduction to AI concepts and technologies, including machine learning, neural networks, and generative AI, alongside their ethical and societal implications. Students gain hands-on experience building, training, and evaluating AI models.
3 credits
CENG 504
A graduate-level introduction to AI concepts and technologies, including machine learning, neural networks, and generative AI, alongside ethical implications. Students build, train, and evaluate AI models using contemporary tools.
3 credits
CENG 505
Provides the theoretical foundations and practical skills to design, deploy, and secure modern cloud environments using tools like Docker, Kubernetes, and OpenStack. The course culminates in a capstone project integrating infrastructure, platform, and software services.
3 credits
CENG 302
Examines the ethical, legal, and organizational dimensions of collecting, managing, and using data responsibly in a data-driven world. Students evaluate algorithmic fairness, privacy, and governance strategies through case studies and applied projects.
3 credits
CENG 502
Examines the ethical, legal, and organizational dimensions of collecting and using data responsibly at a graduate level of depth. Students evaluate algorithmic fairness, governance, and data-sovereignty issues through applied projects.
3 credits
CENG 403
Introduces the full data-science lifecycle — from data collection and cleaning through modeling and ethical deployment — using Python and industry-standard libraries. Students build and evaluate predictive models using supervised and unsupervised learning.
3 credits
CENG 503
Introduces graduate students to the full data-science lifecycle, from data collection and cleaning through modeling and ethical deployment. Students gain hands-on experience with Python and industry-standard analytics libraries.
3 credits
CENG 401
Covers relational database concepts, data modeling, normalization, SQL, and performance optimization for designing and administering modern database systems. Students also explore cloud databases, NoSQL systems, and data warehousing.
3 credits
CENG 501
Introduces the principles and practices used to design, implement, and optimize modern database systems, including relational modeling and SQL. Students explore cloud databases, NoSQL, and data warehousing through a capstone project.
3 credits
CENG 506
Explores how digital technologies — AI, telemedicine, and health data analytics — are transforming healthcare delivery and access. Students apply design thinking to develop patient-centered, technology-enabled healthcare solutions.
3 credits
CENG 410
Introduces virtual representations of physical systems used to optimize manufacturing and industrial operations through simulation and predictive analytics. Students develop computational models supporting intelligent, data-driven decision-making.
3 credits
CENG 510
Introduces virtual representations of physical systems used to optimize manufacturing operations through simulation and predictive analytics, at graduate depth. Students develop digital models supporting intelligent decision-making.
3 credits
CENG 411
Provides a comprehensive introduction to the technologies and systems driving manufacturing's digital transformation, including automation, robotics, and data analytics. Students explore connected manufacturing and operational-excellence principles.
3 credits
CENG 511
Provides a graduate-level introduction to the technologies driving manufacturing's digital transformation, including automation, robotics, and IIoT. Students apply systems thinking to design agile, resilient manufacturing operations.
3 credits
CENG 409
Examines the sensors, edge computing, and communication protocols that enable connected manufacturing environments. Students design industrial connectivity solutions supporting predictive maintenance and real-time monitoring.
3 credits
CENG 509
Examines the sensors, edge computing, and protocols enabling connected manufacturing environments at graduate depth. Students design scalable industrial connectivity solutions supporting predictive maintenance.
3 credits
CENG 408
Explores the fourth industrial revolution and its impact on manufacturing through cyber-physical systems, IIoT, robotics, and digital twins. Students design strategies for digital transformation within manufacturing enterprises.
3 credits
CENG 508
Explores the fourth industrial revolution's impact on manufacturing through cyber-physical systems, IIoT, and digital twins, at graduate depth. Students design digital-transformation strategies for manufacturing enterprises.
3 credits
CENG 101
Provides a foundational understanding of computer hardware, software, networking, and cloud technologies alongside productivity and digital-collaboration tools. The course also covers cybersecurity basics, digital citizenship, and responsible, ethical technology use.
3 credits
CENG 406
Examines how attackers compromise networks, systems, and applications, and how defenders protect them using layered controls and security operations. Hands-on lawful exercises build skills in traffic analysis, hardening, and digital forensics.
3 credits
CENG 507
Examines how attackers compromise systems and how defenders protect them using layered controls, cryptography, and security operations, with extended graduate analysis. Hands-on lawful activities build skills in forensics and penetration-test planning.
3 credits
CENG 412
Examines the materials, methods, and technologies used to transform raw materials into finished products, including machining, forming, and additive manufacturing. Students learn how process choices affect quality, cost, and sustainability.
3 credits
CENG 512
Examines the materials, methods, and technologies used to transform raw materials into finished products, at graduate depth. Students evaluate how process choices affect quality, cost, safety, and sustainability.
3 credits
CENG 400
A hands-on introduction to Python programming focused on data-science applications, from foundational programming through applied data analysis and visualization. Students build skills to read, write, and debug Python code for practical data problems.
3 credits
CENG 500
A rigorous, hands-on graduate introduction to Python programming for data-science applications, computer vision, and deep-learning workflows. Students build proficiency reading, writing, and applying Python code to practical data problems.
3 credits
The School of Computing and Engineering fosters technological innovation and problem-solving skills, preparing students to lead in data science, smart manufacturing, and advanced information systems for the evolving digital economy.
Programs
- BS in Business Intelligence and Information Systems
- BS in Manufacturing Business
- MSc in Data Science and Information Systems
- MSc in Smart Manufacturing
Courses
- CENG 404 — Artificial Intelligence
- CENG 504 — Artificial Intelligence
- CENG 505 — Cloud Computing
- CENG 302 — Data Ethics and Governance
- CENG 502 — Data Ethics and Governance
- CENG 403 — Data Science and Analytics
- CENG 503 — Data Science and Analytics
- CENG 401 — Database Management
- CENG 501 — Database Management
- CENG 506 — Digital Technology for Sustainable Healthcare
- CENG 410 — Digital Twin Technology and Computational Modeling
- CENG 510 — Digital Twin Technology and Computational Modeling
- CENG 411 — Foundations of Smart Manufacturing
- CENG 511 — Foundations of Smart Manufacturing
- CENG 409 — Industrial IoT and Connectivity
- CENG 509 — Industrial IoT and Connectivity
- CENG 408 — Industry 4.0 and the Smart Factory
- CENG 508 — Industry 4.0 and the Smart Factory
- CENG 101 — Introduction to Computers
- CENG 406 — Introduction to Cybersecurity
- CENG 507 — Introduction to Cybersecurity
- CENG 412 — Manufacturing Technology and Process
- CENG 512 — Manufacturing Technology and Process
- CENG 400 — Python for Data Analytics
- CENG 500 — Python for Data Analytics