Constructor University

Germany
1 Scholarships 17 Programs 3 Degree levels

Robotics And Intelligent Systems

Offered at Constructor University, Germany
FieldRobotics & Intelligent Systems
Duration3 years
Tuition20000.00

Overview

The Robotics and Intelligent Systems program at Constructor University focuses on building the engineering foundations for autonomous mobile robots and intelligent automation systems. Through lab-based projects and applied coursework, you develop skills in robotics, machine learning, and the algorithms that enable perception, planning, and control. You’ll also explore how intelligent mobility concepts can be inspired by natural systems, preparing you for roles in robotics R&D and automation across industries such as transport, logistics, and marine technology.

About this programme

Overview

The Robotics and Intelligent Systems program at Constructor University provides a strong engineering foundation in the field of autonomous mobile robots and intelligent automation systems. Through hands-on projects and applied coursework, students gain essential skills in robotics, machine learning, and the algorithms that facilitate perception, planning, and control of robotic systems.

This program emphasizes the inspirations drawn from natural systems to develop intelligent mobility concepts, equipping graduates for careers in robotics research and development, as well as automation across various industries such as transportation, logistics, and marine technology.

What you'll study

The curriculum integrates fundamental computing and physics principles with specialized training in robotics and intelligent systems. Students will progress from introductory programming and algorithms to advanced robotics and machine learning techniques essential for autonomous systems.

Core modules (indicative)

  • Programming in C and C++
  • Algorithms and Data Structures
  • Foundations of Computer Science
  • Classical Physics for Engineering
  • Robotics: Sensing, Control, and System Design
  • Machine Learning: Methods for Intelligent Decision-Making

Applied learning

  • Hands-on practical work in modern robotics and computing labs
  • Project-based learning linking algorithms and models to robotic functionalities
  • Collaborative problem-solving and technical documentation skills

Entry requirements

While specific GRE or GMAT requirements have not been detailed for this program, it is advisable to consult the admissions team or the program website for accurate entry criteria. Additionally, GPA thresholds may vary, and prospective students should confirm these details directly.

Career prospects

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Programme details are indicative and may change — always verify current information with the official university website before applying.