Automation and control of production processes

The Master’s educational program “Automation and Control of Production Processes” at Eurasian Technological University is designed to train specialists capable of designing, implementing, and managing automated systems in diverse industrial environments. The program equips students with advanced knowledge in control systems, robotics, data analytics, and artificial intelligence, enabling them to enhance operational efficiency, optimize workflows, and improve product quality. The program is registered under number 7M07100464, with a total credit load of 60 ECTS and a study period of 1 year, aligned with Level 7 on both the National Qualification Framework (NQF) and the State Qualification Framework (SQF). Instruction is delivered in Russian, Kazakh, and English, providing graduates with the skills to operate in both national and international industrial contexts.

The program is developed in accordance with professional standards, including Professional Standard №1 “Technical Control and Supervision” (approved 2024), preparing graduates for managerial roles in specialized transport and industrial units. It combines theoretical knowledge with practical competencies, emphasizing automation, system integration, process optimization, and economic evaluation. Students are trained to analyze production workflows, identify inefficiencies, implement innovative automation solutions, and make data-driven decisions to increase productivity and reduce operational costs.

Educational outcomes are carefully defined to ensure graduates meet industry expectations:

1. Application of automation technologies (ON1): Students master SCADA, DCS, and PLC systems, integrating automated solutions to optimize production efficiency.

2. Design and management of automated systems (ON2): Graduates develop technical documentation, conduct risk assessments, and ensure compliance with safety and reliability standards.

3. Process data analysis (ON3): Students apply experimental engineering methods to identify bottlenecks, optimize processes, and improve cost efficiency.

4. Software and modeling proficiency (ON4): Graduates create mathematical models, work with large datasets, and apply IoT and AI technologies to automation projects.

5. Economic evaluation and project management (ON5): Students perform cost-benefit analyses, assess investment attractiveness, and incorporate environmental and social considerations.

6. Technical documentation development (ON6): Graduates produce design specifications, diagrams, operating instructions, and ensure adherence to quality and safety standards.

7. Intelligent system design (ON7): Students design AI-based control systems for transport and industrial processes, applying advanced digital technologies for efficient decision-making.

The program’s curriculum is structured to provide both foundational and specialized knowledge across 13 core disciplines, totaling 60 credits:

• Foreign Language (Professional) – 2 credits: Professional communication and terminology for international collaboration.

• Management – 2 credits: Strategic planning, leadership, and digitalized organizational management.

• Psychology of Management – 2 credits: Leadership, motivation, team dynamics, and organizational behavior.

• Design of Virtual Measuring Instruments – 4 credits: Development and implementation of software models for measuring physical quantities.

• Theory and Technique of Engineering Experiment – 4 credits: Experimental research methods, measurement techniques, and data reliability assessment.

• Automation of Production Processes – 5 credits: Design and implementation of automated systems, SCADA/PLC applications, IoT integration.

• Microprocessor Architecture of Modern Control Systems – 5 credits: Microprocessor design, internal architecture, and parallelism optimization.

• Artificial Intelligence – 5 credits: Machine learning, neural networks, and AI applications in industrial automation.

• Automation Task Dispatching Systems – 5 credits: System design for task coordination, process monitoring, and optimization.

• Integration of Digital Technology in Automation Control Systems – 5 credits: IoT, AI, and data analytics integration into automation workflows.

• Intelligent Control Systems – 5 credits: Development of autonomous, adaptive systems using AI algorithms.

• Models of Objects of Technical and Technological Control – 4 credits: Process modeling, quality assessment, and control optimization.

• Typical Structures and Means of Automation Systems – 4 credits: Analysis of automated system architectures, implementation methods, and industrial application.

Practical application is emphasized through hands-on projects, case studies, and modeling exercises, ensuring that students can implement automation solutions in real industrial contexts. Graduates gain technical proficiency in SCADA, PLCs, AI systems, microprocessor-based control, and virtual measuring instruments, as well as management skills in project planning, economic evaluation, and international communication.

The program prepares graduates for careers in manufacturing, logistics, industrial engineering, and R&D management, with competencies aligned to the Atlas of New Professions for R&D managers. Upon completion, students receive a Master’s degree, qualifying them to lead automation projects, design intelligent control systems, and implement innovations across multiple industrial sectors.

By integrating technical expertise, digital technologies, and management competencies, the program ensures that graduates are capable of optimizing production processes, reducing costs, improving safety, and adopting AI-driven decision-making tools, meeting the evolving demands of modern industry. With 60 credits of advanced learning, graduates emerge as well-rounded specialists ready to drive innovation in automated production environments.