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丹麦技术大学 · 自主系统硕士 硕士

Technical University of Denmark|Autonomous Systems。 下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身,不与其他学校同一名称的项目共用。
QS 2027 · 第 105 位
学位 硕士 · 50 门课程

📖 项目简介

Autonomous systems are entering our working, urban, and domestic environments. Imagine fleets of smart robots that collaborate in manufacturing facilities, advanced warehouse logistics solutions such as the Amazon warehouses, crew-less cargo ships, smart grids, or interconnected smart home appliances. Those are just a few examples of what we call autonomous systems.

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The MSc in Autonomous Systems equips you to participate in and lead work related to the design and deployment of autonomous systems, exploiting the latest advances in artificial intelligence, big data analysis, digitization, sensing, optimization, information technologies, and systems engineering.

The MSc programme in Autonomous Systems has been developed to build both mathematical and theoretical understanding, as well as practical experience of students, applicable to Industry 4.0, robotics, and autonomous software agents, among other application areas.

Focus is on systematic problem solving and synthesis, and you will acquire specialized knowledge in the area. More specifically, the study programme will provide you with sound hands-on experience through laboratory work and the application of IT-based tools.

Presentation of the MSc programme in Autonomous Systems

You should be aware that your choice of courses in your individual study plan offers a high degree of flexibility. Therefore, you have every opportunity to design your own study programme and career by choosing from the wide range of courses offered at DTU. You are responsible for ensuring consistency when designing your study plan.

以上为丹麦技术大学该项目官网项目页原文(英文),本站未做改写或补写。

📋 项目参数

自主系统硕士

Autonomous Systems
硕士
语言要求英语(要求 B-level, IELTS, TOEFL, CAE)
📚 课程设置(50 门,理工基础课 7 / 专业课程 7 / 专业核心课 35 / 核心能力课 1)
理工基础课7 门
  • 12100Quantitative methods to assess sustainability (Polytechnical Foundation)
  • 12106Quantitative methods to assess sustainability (Polytechnical Foundation)
  • 12105Quantitative methods to assess sustainability (Polytechnical Foundation)
  • 12101Quantitative methods to assess sustainability (Polytechnical Foundation)
  • 38402Innovation in Engineering (Polytechnical Foundation)
  • 38404Innovation in Engineering (Polytechnical Foundation)
  • 38400Innovation in Engineering (Polytechnical Foundation)
专业课程7 门
  • 38403Facilitating Innovation in Multidisciplinary Teams
  • 38405Facilitating Innovation in Multidisciplinary Teams
  • 38401Facilitating Innovation in Multidisciplinary Teams
  • 34757Unmanned autonomous systems
  • 34761Robot Autonomy
  • 34763Autonomous Marine Robotics
  • 34766Robotic Manipulation: Perception, Planning, Control and Learning
专业核心课35 门
  • 34755Building dependable robot systems
  • 38102Technology Entrepreneurship
  • 38106Developing an Entrepreneurial mindset
  • 38113Applied AI for Entrepreneurs
  • 02180Introduction to Artificial Intelligence
  • 02225Distributed Real-Time Systems
  • 02280Artificial Intelligence and Multi-Agent Systems
  • 02291System Integration
  • 02452Machine Learning
  • 02456Deep learning
  • 02460Advanced Machine Learning
  • 02471Machine learning for signal processing
  • 02476Machine Learning Operations
  • 02477Bayesian machine learning
  • 02501Advanced Deep Learning in Computer Vision
  • 02510Deep learning and data engineering for image analysis
  • 02516Introduction to Deep Learning in Computer Vision
  • 02518Computational 3D Imaging and Analysis
  • 02611Optimization for Data Science
  • 02612Constrained Optimization
  • 02613Python and High-Performance Computing
  • 02614High-Performance Computing
  • 02619Model Predictive Control
  • 30554Global Navigation Satellite Systems
  • 34241Digital video technology
  • 34366Intelligent systems
  • 34367Project in Intelligent Systems
  • 34745Linear control design 2
  • 34746Robust and fault-tolerant control
  • 34752Bio-inspired control for robots
  • 34753Robotics
  • 34760Safety and Reliability in Robotic and Automation Systems
  • 34764Robotics and Automation in Pharmaceutical Manufacturing
  • 42136Advanced Operations Research Methods
  • 42137Optimization using metaheuristics
核心能力课1 门
  • 34759Perception for Autonomous Systems

🎯 入学要求

官网给出的录取条件原文,含学校统一要求与该项目的附加要求;语言成绩的具体分数线请到项目官网核对。

To be eligible for admission, applicants must document a relevant Bachelor’s degree (or equivalent). Applicants must have completed a minimum of 80 -90 ECTS credits within relevant subject areas, distributed across the following groups.

  • 15 ECTS Mathematics (Linear algebra, Calculus)
  • 10 ECTS Statistics and probability
  • 20 ECTS Programming (Object-oriented programming, mathematical programming )
  • 20 ECTS Electrical components and electronics prototyping Iincluding sensing and mechatronics)
  • 10 ECTS Signal processing and analysis (analog and digital signal)
  • 5-10 ECTS Machine learning (Supervised/Unsupervised Learning)

Bachelor of Science students from other universities in Denmark with a relevant background such as

  • Electrical Engineering – AU
  • Manufacturing and Operations Engineering – AAU
  • Robotics Engineering – AAU
  • Electronic Engineering and IT – AAU
  • Mechanical Engineering and Manufacturing – AAU
  • Electronics – SDU
  • Robot Systems - SDU

may apply for admission and will be assessed individually.

The following Bachelors of Engineering from other universities in Denmark with a relevant background may apply for admission and will be assessed individually:

  • Mechatronics - SDU

International applicants with a relevant Bachelor’s degree must be able to document that they possess corresponding qualifications and will be assessed individually.

The specific academic requirements for the MSc courses can be found in DTU’s course database and it is the individual student’s responsibility to ensure that these requirements are met. The assessment will be based on completed and documented courses. Admission is based on an overall academic assessment. Meeting the minimum ECTS requirements does not in itself guarantee admission.

List of suggested competences

The topics below are not strictly demanded for admission, but experience with some of them would be an advantage. The mentioned courses are some indicative courses that are offered in DTU; other courses with similar focus are equally considered.

  • Mathematics at level 2 , indicative courses offered in DTU:
  • Statistic and probability. Indicative courses offered in DTU:

📊 申请案例数据分析

本站尚未收录丹麦技术大学的录取案例,暂无法给出该项目的录取背景分析。案例库按院校与专业方向整理,补抓后这里会自动出现。

❓ 常见问题

以下问答的答案全部取自本页已列出的官网数据,不做推测;官网未公布的项不出现在这里。
丹麦技术大学自主系统硕士主要学什么?
该项目为硕士,官网介绍:Autonomous systems are entering our working, urban, and domestic environments. Imagine fleets of smart robots that collaborate in manufacturing facilities, advanced warehouse logistics solutions such …
丹麦技术大学自主系统硕士的语言成绩要求是什么?
英语(要求 B-level, IELTS, TOEFL, CAE)。
丹麦技术大学自主系统硕士的入学要求是什么?
To be eligible for admission, applicants must document a relevant Bachelor’s degree (or equivalent). Applicants must have completed a minimum of 80 -90 ECTS credits within relevant subject areas, distributed across the following groups.
丹麦技术大学自主系统硕士一共开设多少门课程?
课程设置共 50 门。
学制 / 学费 / 语言要求 / 申请节奏为按国家(地区)通行区间整理的参考值,各校每年均可能调整,最终以院校官网公布为准;本站不提供中介服务。 排名数据:QS 名次来自 QS 官方榜单整理,U.S. News 名次整理自 Ranking Radar 公开数据集(CC-BY-4.0),原始榜单 © U.S. News & World Report。
自主系统硕士
丹麦技术大学