NED University of Engineering and Technology’s Centre for Continuing Engineering Education is offering a three-week professional course on Data Science for Manufacturing and Process Industries, designed to equip engineers and industry professionals with the analytical skills needed to extract value from industrial data. The course commences August 1, 2026, with sessions held Saturdays from 6:00 PM to 9:00 PM, carrying an investment of Rs18,000 per participant, with an early bird discount available.
The curriculum is built specifically around the data challenges and opportunities present in manufacturing and process industries, beginning with an introduction to data science in an industrial context before moving into industrial data sources including Enterprise Resource Planning systems, sensors, and Internet of Things devices. Participants will cover data preprocessing and the unique challenges of industrial datasets, exploratory data analysis, and key performance indicator design specific to manufacturing operations. The course places significant emphasis on applied, outcome-oriented skills, covering predictive maintenance concepts that allow manufacturers to anticipate equipment failures before they occur, process and production optimisation techniques, quality analytics for identifying defects and inefficiencies, and supply chain analytics and forecasting.
A particularly practical component of the course is its focus on dashboarding and visualisation using Power BI, one of the most widely adopted business intelligence tools across Pakistani and international manufacturing enterprises, giving participants a directly transferable skill they can apply immediately within their organisations. The course concludes with case studies built around simulated industry scenarios and a final project or use case presentation, ensuring participants leave with practical, demonstrable experience rather than purely theoretical knowledge. The course carries 1.0 Continuing Professional Development credit as per Pakistan Engineering Council by-laws and is led by trainer Arman Bari. For Pakistan’s manufacturing sector, which has historically lagged behind other industries in adopting data-driven decision-making despite generating substantial volumes of operational data through ERP systems and increasingly connected industrial equipment, a course that bridges data science techniques with manufacturing-specific applications addresses a meaningful skills gap. Interested participants can register at https://academy.neduet.edu.pk/registration-form.
Follow the SPIN IDG WhatsApp Channel for updates across the Smart Pakistan Insights Network covering all of Pakistan’s technology ecosystem.
