Applicants

Admission scenarios-2026 All about admission Grants Anti-Olympic Cost of education Discounts and benefits Below 50 points / Without UNT

Interesting

Words of encouragement ACCA International Program Accommodation and dormitories Campus Tour International studying METU Courses

Educational programs

College Bachelor's degree Master's degree Doctoral candidacy Second higher education Distance Learning

Pay for tuition

Main Departments Educational programs of the department
6B06104 — Artificial Intelligence in Engineering
You can apply for a government grant
6B06104 — Artificial Intelligence in Engineering - Undergraduate

Grants

EVERYONE WHO RECEIVED A GRANT WILL GET A LAPTOP AS A GIFT
+ AN INCREASED SCHOLARSHIPp

In METU, in addition to state grants, there are internal rector`s grants, grants from local executive bodies and PF «Қазақстан Халқына»

Program passport

Field of education

6B06 - Information and communication technologies

Field of study

6B061 - Information and communication technologies

Group of educational programs

B057 - Information Technologies

Educational program

6B06104 — Artificial Intelligence in Engineering

Level of education

Baccalaureate, first/second higher education

Degree

Bachelor

Language of education

Kazakh, Russian, English

Profile subjects of UNT

mathematics - computer science

Program passport

Field of education

6B06 - Information and communication technologies

Field of study

6B061 - Information and communication technologies

Group of educational programs

B057 - Information Technologies

Educational program

6B06104 — Artificial Intelligence in Engineering

Level of education

Baccalaureate, first/second higher education

Degree

Bachelor

Language of education

Kazakh, Russian, English

Profile subjects of UNT

mathematics - computer science

Program description

Training specialists capable of applying artificial intelligence and data analysis methods to develop and implement intelligent engineering systems in the context of digital economic transformation.
We train a new generation of specialists in artificial intelligence for engineering who are capable of developing intelligent control systems, digital twins, machine learning solutions, computer vision systems, Internet of Things (IoT) technologies, and industrial automation systems for Industry 4.0 enterprises.

Profile of training

  • Databases and SQL
  • Embedded Intelligent Systems
  • Mathematical Analysis I
  • Mathematical Analysis II
  • Introduction to Engineering and Artificial Intelligence
  • Linear Algebra and Analytic Geometry
  • Programming I (Python)
  • Programming II (OOP and Data Structures)
  • Engineering and Computer Graphics
  • Fundamentals of Electrical Engineering and Electronics
  • Probability Theory and Mathematical Statistics
  • Natural Language Processing
  • Professionally Oriented Foreign Language
  • Machine Learning I (Classical Methods)
  • Computer Vision
  • Numerical Methods
  • Intelligent Control Systems
  • Ethical and Legal Aspects of AI in Engineering
  • Engineering AI Project
  • Intelligent Embedded Systems and IoT
  • Data Processing
  • Research Methods
  • Management and Optimization
  • Neural Networks for Technical Systems
  • Intelligent Control Systems, Industrial Automation
  • Machine Learning II (Deep Learning)
  • Control Systems and Automation (SCADA/PLC)
  • Data Analysis and Visualization
  • Internet of Things (IoT)
  • Intelligent Manufacturing Systems
  • Engineering Systems Modeling
  • Statistical Methods
  • Internet of Things Technologies in AI Engineering Applications
  • Digital Twins in Engineering
  • Intelligent Sensor Systems
  • Internet of Things technologies in engineering applications
  • Engineering systems and sensors (IoT for engineers)
  • Digital filters and spectral analysis
  • Digital signal processing
  • Processing of big data streams
  • Integration of Artificial Intelligence and Internet of Things: Edge AI and AIoT
  • Robotic intelligent systems
  • Machine learning automation and lifecycle management
  • Cyber-physical systems
  • Artificial intelligence system architecture

Additionally

Catalogs of compulsory / university / elective disciplines

Aquired skills

Professional skills/Hard skills

Development of modern software solutions and intelligent systems based on artificial intelligence

Building and training neural networks, applying Machine Learning and Deep Learning algorithms to real-world tasks

Analysis and processing of big data, building predictive and analytical models

Development of web services, AI applications and engineering digital solutions

Design and implementation of computer vision and natural language processing systems

Working with IoT and embedded systems: from sensors to intelligent devices

Integration of AI into industry, automation and cyber-physical systems

Using cloud technologies for scaling and deployment of solutions

Designing AI system architecture and managing model lifecycle (MLOps)

Ensuring reliability and security of digital solutions according to modern standards

Soft Skills

ability to solve problems comprehensively

Critical thinking

ability to form judgements and make decisions

ability to work in team

skills of project management

creative thinking

Emotional intelligence

skills of business communication

Individual trajectory of education

We help students to choose an individual trajectory of education by means of Minor programs and Dream Skills programs
Dreamskills
130+ online courses with instructions in Russian and Kazakh from top universities in the world.
Minor programm
These are additional educational programs from the 2nd year to obtain additional professional skills
Digital technologies
Business Management and Administration
Emergency situations and fire safety at work
Quality expertise of hydrocarbon`s processing

Future professions

Educational program developer

About university
Our mission is to maximize the student`s potential and make him a sought-after specialist in the Kazakh and international labor market. We teach the most relevant and demanded engineering and technological professions.

Advantagies of entering

International study and practice

  • Grants for study in foreign universities;
  • Practice in the world`s leading tecnological companies;
  • 42 countries of Europe and Asia;
  • starting from the first year.

Everything for a proper learning

  • Modern educational programs;
  • Teachers: kazakh and foreign professors and experts;
  • Library, laboratories, coworking;
  • Comfortable dormitory, canteen and medical office.

Start of career and employment

  • We train modern practitioners;
  • Employment assistance from the first year;
  • International business incubator;
  • MICROSOFT academies, Huawei ICT, Oracle, CISCO, 1С.

Discounts, benefits, installment

  • Installments with monthly payment without overpayments;
  • for everyone who wants to study - grants, discounts, benefits, scholarships;
  • grants and discounts for large family and with additinal requirements;
  • discounts for our graduates and employers.

Vibrant student life

  • 42 student clubs and groups;
  • professional, scientific, linguistic, creative, intellectual, sport events every month;
  • conferences, trainings, master classes.

Transfer from another university

  • We admit students from other universities;
  • Contact the admmissions committee and submit package of documents;
  • We are prepared to answer to all questions and assist with trasfer.

METU Admissions Committee

List of documents

  • certificate of education (original);
  • 6 photographs of 3x4;
  • 072-U-form medical certificate;
  • A copy of identity card or a copy of birth certificate (PIN);
  • Certificate of higer education with an application (original);
  • Certificate issued according to the results of the UNT.

Contacts of addmissions committee

89/21 Al-Farabi avenue, (93G/5 Al-Farabi avenue), Kazakhstan, Almaty, 050060

Work schedule:
daily, from 8:00 to 20:00