Automation and control

Master Degree in Automation and control
Сipher: 6M070200
Name: Automation and control


To provide students with theoretical knowledge and practical skills allowing to master and apply modern knowledge and the scientific principles of research, development and realization of controls in technical systems of monitoring, automation and the information service used in various areas of human activity.

Training the highly qualified specialists capable to solve research, organizational and administrative problems of development and creation of modern software and hardware for research and design, control, technical diagnosing and industrial tests of systems of automatic and automated control and also to have skills of scientific and pedagogical work on training of specialists on control in technical systems.


 State Compulsory Module 

  • History and Philosophy of Science
  • Foreign language (professional)
  • Pedagogy
  • Psychology

 Basic Professional Modules: Required Core Modules :

Compulsory Professional modules

(Investigation in Automation and Control)

Module 1. Industrial automation

  • Organization and Planning of Scientific Research
  • Automation of technical systems
  • Industrial computers

Module 2. Controllers and Simulators 

  • Automated management systems on microcontrollers
  • Controllers and Simulators for technological process control

Track 1: Automated Control Systems of Technological Processes

Module 1: Automation systems design 

  • Mathematical programming and its application in control systems
  • Automation systems design in industrial process

Module 2: Theoretical informatics and distributed computing

  • Theoretical computer science
  • Distributed calculations 

Module 3: Management systems and automation objects control

  • Information support of management systems  
  • Optimal control of automation objects

Module 4: Providing of safety and administration of networks

  • Methods and technical equipments of providing of safety
  • Administration of corporate networks

Track 2: Design and development of the advanced industrial information systems

Module 1: Systems design and modeling

  • Applied mathematical models of systems with network structure
  • Automation systems design

Module 2: Security Management

  • Safety and security of computer systems
  • Design of technical systems of security management

Module 3: Simulation of systems and computing platforms

  • Simulation of systems
  • Mobile and cloud computing platforms

Module 4: Industrial networks and management of the objects

  • Industrial networks and protocols
  • Optimal control of automation objects



Research work

Research Seminars I-IV



Graduates of the master degree can work in organizations and the enterprises where the automated process control systems of various productions, automated information control systems of different functions, the automated systems of collection, processing and transmission of data, the automated design systems are used; and in research institutes, scientific and production associations of any form of ownership, in government or private educational institutions as a lecturer.

Further studies

Further studies. Master graduates can continue their education at the PhD level in the profession or professions related to this one. They can also continue to research activities in that economy grown back, which will directly apply their knowledge. Access to teacher training (educa¬tion track); to Research and Pedagogic training.

Learning & Teaching Approaches

Teaching methods include lectures, smaller tutorial groups and seminars, practical workshop sessions, individual assignments and group tasks. Students learn to put theory into practice by completing team-based projects. Most learning is in small groups (up to 10 people) and emphasizes discussion, making research, problem solving, task preparation. In the final year about half time is dedicated to the final thesis, which is also presented and discussed with a discussion group of teachers and peers.

Assessment methods

Assessment methods include coursework, presentations and practical/written exams. The aim is to use the most appropriate assessment strategy for testing the achievement of the learning outcomes. Evidence of the achievement of the theoretical/conceptual type of learning outcome takes the form of verbalized description, explanation, discussion, critical evaluation, etc. of some concept, theory, principle or technique/methodology. Assessment thus typically takes the form of an opportunity to verbalize the knowledge and understanding e.g. written reports, answers to exam questions, etc. Evidence of achievement of the practical and skills oriented type of learning outcome normally takes the form of the expression of the skill concerned through the completion of some of the stages in the process of the solution of a given problem.

Programme competences


Critical and self-critical abilities: ability to think in scientific terms, propose problems, gather data, analyze them and propose findings.

Written and oral communication in one’s own language: ability to write and speak correctly in many languages (Kazakh, Russian or English).

Ability to work autonomously, taking initiatives and managing time: ability to organize complex efforts over a period of time, producing the required result on schedule.

Ability to work with others in a multidisciplinary multi-national setting.

Capacity to handle effectively with practical problems


Basic general knowledge:

- deep knowledge of the automation and control system and ability to critically evaluate the problems, approaches and trends that reflect the current state of scientific discipline, research and the scope of professional practice of the automation and control;

- understanding of methods and techniques that are applicable to their own research and advanced scientific research;

Applying knowledge in practice: ability to

- an apply their knowledge and understanding by solving the problem in a new or unfamiliar environment within the wider (or multidisciplinary) context associated with automation and control;

- find the original use of existing knowledge, along with a practical understanding of how existing methods of research and analysis used in the relevant science for the creation and interpretation of new knowledge;

- demonstration of independence and original approach to solving problems, to plan and solve problems in a professional manner;

Programme learning outcomes

Program provide the graduates with knowledge and skills:

—          ability to demonstrate deep knowledge and understanding theoretical basics and research context in the fields of mathematics, electrical engineering, information technology related to design and development of automation and control systems.

—          ability to apply knowledge and understanding in new or unfamiliar environments within broader (or multidisciplinary) contexts related to automation and control field;

—          to know methods of the critical analysis and assessment of modern scientific achievements, and also methods of generation of the new ideas at the solution of research and practical tasks, including in cross-disciplinary areas

—          to know modern program complexes and hardware for the solution of tasks in the field of automation of difficult technical objects control and systems experimental research;

—          to know prospects and tendencies of development of information technologies of automation and control;

—          to know an order, methods and tools of protection of intellectual property;

—          be able to study in a manner that may be largely self-directed or autonomous;

—          ability to develop working plans and programs of carrying out scientific researches and technical development, preparation of tasks for performers;

—          ability to collecting, processing, analyze and systematization of scientific and technical information, choose the techniques and cures of tasks of a research subject;

—          ability to carrying out natural researches and computer modeling of control objects and processes with application of modern mathematical methods, technical tools and software;

—          critical analysis and assessment of modern scientific achievements and results of activities for the solution of research and practical tasks, including in cross-disciplinary areas;

—          preparation by results of the executed researches of scientific and technical reports, reviews, publications and scientific reports;

—          participation in development of educational and methodical materials for trained on disciplines of subject domain of this direction.