Engineering and Artificial intelligence

Educational Program: 6B06103 Engineering and Artificial Intelligence
Institution: Eurasian Technological University
Level: Bachelor (NQF 6, SQF 6)
Languages of Instruction: Russian, Kazakh, English
Format: Online
Credits: 240

The 6B06103 Engineering and Artificial Intelligence program is designed to prepare highly qualified specialists capable of developing, implementing, and supporting systems and technologies using artificial intelligence (AI) across various industries. The program emphasizes the integration of theoretical knowledge with practical skills to address contemporary technological challenges and adapt to rapid innovation in the field of AI and information and communication technologies (ICT).

Purpose and Goals:
The main goal of the program is to train professionals who can design and manage AI systems, develop IoT-based devices, and solve complex engineering problems through modern technologies. Graduates will be equipped with the knowledge, skills, and ethical understanding necessary to apply AI solutions in real-world contexts, including business, industry, and public services.

Professional Standards and Career Paths:
The curriculum aligns with professional standards approved in 2022 for AI and IoT development. Graduates can pursue careers as:

• AI Engineer – designing and implementing AI systems.

• AI Specialist – applying AI for problem-solving in industry and research.

• Software Engineer (IoT Systems) – developing software for IoT devices and networks.

Educational Outcomes:
Students will gain competencies in:

1. Understanding economic, legal, and organizational principles, with attention to safety and regulations.

2. Developing interpersonal and teamwork skills, promoting inclusion and equity.

3. Making managerial and technical decisions in AI system design and deployment.

4. Applying engineering and AI design principles, programming languages, and expert system tools.

5. Analyzing data, building mathematical models, and optimizing algorithms for AI and engineering applications.

6. Designing and configuring IoT devices, sensors, and communication systems.

7. Developing smart systems and administering network technologies for AI and IoT.

8. Testing, commissioning, and training users on AI systems.

9. Designing AI system architectures, knowledge bases, and software interfaces.

Curriculum Overview:
The program includes general education, core, and professional disciplines totaling 240 credits. Key areas include:

• Foundational Knowledge: Economics, law, ecology, and life safety, methods of scientific research.

• AI Core: Artificial intelligence, machine learning, multimodel AI systems, functional programming, and AI ethics.

• Software and System Engineering: Software development, system analysis and design, project management, functional software engineering, web and application development.

• IoT and Smart Systems: IoT device programming, smart systems, robotics, mechatronics, intelligent and cognitive systems.

• Data and Digital Technologies: Data modeling, statistical analysis, BIA systems, digital marketing, and online technologies.

• Emerging Technologies: Virtual and augmented reality, optimization in AI, smart technologies, adaptive systems.

Distinctive Features:

• Multilingual education with practical and research-focused training.

• Integration of AI and IoT for solving interdisciplinary technological challenges.

• Strong alignment with labor market requirements and modern professional standards.

• Opportunities for professional growth through practical applications, internships, and project-based learning.

Learning Approach:
The program combines theoretical lectures, hands-on laboratory work, project activities, and research practices. Students learn to apply AI and IoT technologies ethically and responsibly, considering their social, legal, and environmental impact. Emphasis is placed on collaborative, inclusive, and interdisciplinary problem-solving.

Career Opportunities:
Graduates are prepared to work in AI and IoT development, software engineering, smart systems design, data analytics, business intelligence, and digital technology management. They are equipped to contribute to innovation in both private and public sectors, including research institutions, technology companies, and industrial enterprises.