A close-up of an industrial robot arm in a modern factory.
An engineer working on a computer with complex technical drawings.
A team of technicians collaborating on a piece of machinery.

Technical Courses

Deepen your expertise with specialized technical training.

Project Management Professional (PMP)
Online
KNUST
Project Management Professional (PMP)
Prepare for PMP certification and acquire globally recognized project management skills that enhance your career. This course is designed to prepare participants for the Project Management Professional (PMP) certification examination. Participants will gain a comprehensive understanding of project management concepts, principles, and best practices as defined by the Project Management Institute (PMI). Through lectures, practice exams, and interactive discussions, participants will develop the knowledge and skills needed to pass the PMP exam and excel as project managers.
Fee: GHS 2700
Faculty: Dr. David Mpettey
Duration: 1 month
Geographic Information Systems (GIS)
Online
KNUST
Geographic Information Systems (GIS)
Learn how to utilize GIS technology for spatial analysis, decision-making, and environmental management. This course provides participants with a comprehensive understanding of Geographic Information Systems (GIS), including principles, techniques, and applications. Participants will learn how to use GIS software to capture, store, analyse, and visualise spatial data for various purposes. Through lectures, hands-on exercises, and practical projects, participants will develop the skills necessary to work with geospatial data and solve real-world problems.
Fee: GHS 2500
Faculty: Mr Nii Obed Aryee Damey
Duration: 1 month
Data Analysis with STATA
Online
KNUST
Data Analysis with STATA
Master data analysis techniques using STATA to transform raw data into meaningful insights for research and decision-making. This course provides participants with comprehensive skills in data analysis using STATA, one of the most powerful statistical software packages. Participants will learn how to import, clean, manipulate, and analyze data using STATA's robust features. Through hands-on exercises and real-world examples, participants will develop proficiency in conducting various statistical analyses, creating visualizations, and interpreting results to make data-driven decisions.
Fee: GHS 2000
Faculty: Dr. Bright Owusu Asante
Duration: 1 month