Smart technologies in transport engineering

Program Title: Smart Technologies in Transport Engineering
Degree Awarded: Bachelor (BSc / Bachelor of Engineering)
Total Credits: 240 ECTS-equivalent credits
Level: Undergraduate (NQF Level 6, SQF Level 6)
Duration: 4 years (full-time)
Mode of Study: Online / Blended
Language of Instruction: English, Russian, Kazakh
Field of Study: Engineering and Engineering Affairs
Primary Subject: Engineering – Mechanical

Program Overview

The Bachelor’s program “Smart Technologies in Transport Engineering” is an interdisciplinary engineering program designed to prepare highly qualified specialists for the modern transport and automotive industry. The program integrates classical mechanical and electrical engineering with advanced digital technologies, including artificial intelligence (AI), machine learning, Internet of Things (IoT), automation, robotics, digital twins, and smart control systems.

The program responds to the global transformation of transport systems toward automation, electrification, sustainability, and digitalization. Graduates gain both strong engineering fundamentals and applied skills for designing, developing, operating, and managing intelligent transport systems and vehicles.

Program Objectives

The main objectives of the program are to:

• Train engineers capable of designing and operating modern transport systems and vehicles
• Develop competencies in intelligent and automated transport technologies
• Apply artificial intelligence and data-driven methods to transport engineering problems
• Integrate sustainability, environmental responsibility, and safety into engineering solutions
• Prepare graduates for professional practice, further education, or research in transport-related fields

Structure and Credit Distribution

The program consists of 240 credits, distributed as follows:

• General Education Disciplines: ~40 credits
• Basic Engineering Disciplines: ~90 credits
• Major (Professional) Disciplines: ~90 credits
• Elective and Minor Disciplines: ~20 credits

Core Academic Content

Students study a wide range of fundamental and advanced engineering subjects, including:

Engineering Foundations

• Higher Mathematics and Mathematical Modeling
• Physics and Physics of Materials
• Theoretical Mechanics
• Strength of Materials
• Materials Science and Innovative Materials
• Fluid and Gas Mechanics
• Theory of Mechanisms and Machines

Mechanical and Transport Engineering

• Fundamentals of Transport Engineering
• Machine Details and Fundamentals of Design
• Internal Combustion Engines and Traction Electric Motors
• Hydraulics and Hydropneumatic Drives
• Technological Processes of Mechanical Engineering Production
• Fundamentals of Design and Calculation of Transport Engineering

Electrical, Electronic, and Control Systems

• Theoretical Foundations of Electrical Engineering
• Fundamentals of Electronics and Industrial Electronics
• Basics of Electric Drive
• Digital Control Systems for Electric Drives
• Electronic Control Equipment, Navigation and Autopilot Systems
• Electrical Safety and Reliability of Transport Engineering

Digital and Intelligent Technologies

• Programming Languages and Methods (C/C++)
• Artificial Intelligence
• Artificial Intelligence and Machine Learning in Transportation Engineering
• AI-based Control Systems
• Digital Devices and Microprocessors
• Internet of Things (IoT) in Transportation Systems
• Intelligent Transport Systems (ITS)
• Digital Twins in Transportation Engineering
• Modeling and Simulation of Transport Processes
• Smart Computer-Aided Design (CAD)

Management, Sustainability, and Interdisciplinary Studies

To ensure well-rounded professional development, the program includes:

• Project Management (5 credits)
• Management in Transport Engineering (5 credits)
• Economics and Financial Literacy (5 credits)
• Green Technologies and Sustainable Development
• Ecology and Life Safety
• Ecology and Cybersecurity in Transport Systems
• Social Aspects of Sustainable Development

Practical Training and Applied Learning

The program emphasizes applied learning through:

• Engineering calculations and design projects
• Software-based modeling and simulation
• Case studies in intelligent transport systems
• AI and data-driven problem-solving tasks
• Course projects focused on real-world transport engineering problems

Students acquire hands-on experience with CAD systems, simulation tools, AI frameworks, and control algorithms, preparing them for professional engineering environments.

Learning Outcomes

Upon graduation, students will be able to:

• Apply mechanical, electrical, and digital engineering principles to transport systems
• Design and analyze vehicles and transport equipment using modern CAD and simulation tools
• Develop and apply AI and machine learning solutions for transport engineering
• Implement IoT-based monitoring and intelligent control systems
• Ensure safety, reliability, environmental sustainability, and cybersecurity of transport systems
• Work effectively in multidisciplinary and international engineering teams

Career Opportunities

Graduates of the program can work as:

• Transport and Automotive Engineer
• Mechanical Engineer
• Intelligent Transport Systems Engineer
• AI and Automation Engineer
• Digital Control Systems Engineer
• Transport Technology Analyst
• Junior AI Specialist in Engineering
• R&D Engineer in transport and mobility sectors

Graduates are also prepared to continue studies in Master’s programs in engineering, artificial intelligence, transport systems, or smart technologies.

Relevance and Professional Standards

The program is developed in alignment with the Professional Standard “Development of Artificial Intelligence Applications” (2022) and meets national and international requirements for engineering education. It supports the development of skills relevant to smart mobility, autonomous systems, and sustainable transport solutions.

Conclusion

The Bachelor’s program in Smart Technologies in Transport Engineering provides a comprehensive and future-oriented engineering education. With 240 credits, a strong foundation in mechanical and electrical engineering, and advanced training in AI, IoT, and intelligent systems, the program prepares graduates to actively contribute to the digital transformation of the global transport industry.