King Fahd University of Petroleum and Minerals

Saudi Arabia
5 Scholarships 20 Programs 2 Degree levels
Masters

Intelligent Process Control

DegreeMasters
FieldMSc Intelligent Process Control
Duration2 years
Tuition2000.00

Overview

Intelligent Process Control (King Fahd University of Petroleum & Minerals) equips engineering and science graduates with advanced methods for monitoring, modeling, and controlling complex industrial processes. The programme combines process simulation, AI/soft computing, and industrial cyber-physical systems concepts, including digital-twin style approaches for improved decision-making. Focus areas include intelligent control loops, smart sensing, process modeling, and decision support for operational optimization. Includes topics such as industrial control networks (e.g., SCADA/DCS concepts), cybersecurity for control systems, and optimal control design.

About this programme

Overview

The Intelligent Process Control program at King Fahd University of Petroleum and Minerals is designed for graduates in engineering and science who aspire to master advanced techniques for monitoring, modeling, and managing intricate industrial processes. This program integrates elements of process simulation, artificial intelligence, soft computing, and industrial cyber-physical systems, including digital twin methodologies to enhance decision-making capabilities.

What you'll study

The curriculum emphasizes key areas such as intelligent control loops, smart sensing, process modeling, and decision support systems aimed at optimizing operations. Courses cover a variety of crucial topics, including:

  • Intelligent control systems
  • Process simulation techniques
  • Artificial intelligence and soft computing applications
  • Industrial control networks, including SCADA and DCS frameworks
  • Cybersecurity considerations for control systems
  • Optimal control design methodologies

Programme Structure

The structure of the program is built upon core courses that progress from foundational principles of process modeling and control to advanced AI-driven control design and industrial cyber-physical systems. Key courses typically include:

  • Simulation of Chemical Processes
  • Optimal and Learning-based Process Control Design
  • Soft Computing for Identification
  • Cybersecurity of Industrial Control Systems
  • Applied AI in Process Control

Additionally, many master's programs in this discipline require a capstone project or thesis, which should be verified with the department for specific requirements.

The learning approach generally combines theoretical knowledge in mathematical and control theory with practical applications, including case studies and simulation exercises, to facilitate real-world process optimization.

Entry requirements

Applicants typically need a minimum GPA of 2.5 on a standard scale, although specific requirements may vary. It is advisable to confirm the exact criteria with the university.

English requirements

Proficiency in English is essential for all applicants. Specific language requirements should be checked directly with the university for confirmation.

Career prospects

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Programme details are indicative and may change — always verify current information with the official university website before applying.