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丹麦技术大学 · 可持续能源系统硕士 硕士

Technical University of Denmark|Sustainable Energy 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 · 56 门课程

📖 项目简介

DTU is at the forefront of education and innovation for energy system solutions, accelerating green transition and sustainable energy.

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The MSc Eng programme in Sustainable Energy Systems provides you with solid knowledge of optimal interactions among various energy technologies and components, as well as optimal operation and coordination of large-scale integrated energy systems, including power, heat, natural gas, hydrogen, and transport sectors.

Study programme focus

There is a strong focus on the integration of renewable energy sources as well as system and market solutions to accelerate it.

For this, you will learn and exploit cutting-edge multidisciplinary solutions based on socio-economic analysis, mathematical programming, advanced modelling and statistical methods, digitalization, and machine learning.

Each study line specializes in specific aspects of energy systems, including digital energy systems, energy system analysis, and energy-efficient building systems.

During the course of study, you will acquire extensive expertise in various energy system solutions with focus on sustainability.

The MSc is a two-year graduate programme with a workload of 120 ECTS credit points.

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

可持续能源系统硕士

Sustainable Energy Systems
硕士
语言要求英语(要求 B-level, IELTS, TOEFL, CAE)
📚 课程设置(56 门,理工基础课 7 / 专业课程 4 / 专业核心课 20 / 核心能力课 25)
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)
  • 38400Innovation in Engineering (Polytechnical Foundation)
  • 38404Innovation in Engineering (Polytechnical Foundation)
  • 38402Innovation in Engineering (Polytechnical Foundation)
专业课程4 门
  • 38401Facilitating Innovation in Multidisciplinary Teams
  • 38405Facilitating Innovation in Multidisciplinary Teams
  • 38403Facilitating Innovation in Multidisciplinary Teams
  • 41636Design for Circular Economy
专业核心课20 门
  • 38102Technology Entrepreneurship
  • 42014Environmental and Resource Economics
  • 42015Energy Economics
  • 42016Business Economics and Finance
  • 02421Stochastic Adaptive Control
  • 02435Decision-Making Under Uncertainty
  • 02456Deep learning
  • 02477Bayesian machine learning
  • 02517Responsible AI: Algorithmic fairness and explainability
  • 02611Optimization for Data Science
  • 02613Python and High-Performance Computing
  • 12362Daylighting and Lighting
  • 12611Heat and mass transfer in buildings
  • 41462Building Performance Simulation
  • 41465Computational Fluid Dynamics for Buildings
  • 41466Sustainable heating and cooling of buildings
  • 41469Solar resource assessment and forecasting
  • 42136Advanced Operations Research Methods
  • 42879Decision Support and Strategic Assessment
  • 46705Power grid analysis
核心能力课25 门
  • 46205Feasibility studies of energy projects
  • 46740Distributed energy technologies, modelling and control
  • 46770Integrated energy grids
  • 34552Photovoltaic systems
  • 41418Green fuels and power-to-x
  • 41468Sustainable District Heating
  • 46200Planning and Development of Wind Farms
  • 46745Integration of wind power in the power system
  • 47301Hydrogen energy and fuel cells
  • 47330Energy storage and conversion
  • 47334Carbon capture, utilization, and storage
  • 02452Machine Learning
  • 02582Computational Data Analysis
  • 02417Time Series Analysis
  • 02476Machine Learning Operations
  • 46120Scientific Programming for Wind Energy
  • 02807Computational Tools for Data Science
  • 42112Mathematical Programming Modelling
  • 42114Integer Programming
  • 02612Constrained Optimization
  • 46755Renewables in electricity markets
  • 46765Machine learning for energy systems
  • 46750Optimization in modern power systems
  • 46500Probabilistic Methods in Wind Energy
  • 41417Digitalization of Thermal Energy Technologies – Modelling and Simulation Methods

🎯 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。

National Applicants (holding a Bachelor from Denmark)

BSc Eng applicants. The following Bachelor of Science in Engineering programmes from DTU give students access to admission MSc Eng programme in Sustainable Energy Systems:

  • Architectural Engineering
  • Artificial Intelligence and Data
  • Civil Engineering
  • Data Science and Management
  • Electrical Engineering
  • Engineering Physics
  • General Engineering
  • Applied Mathematics (former Mathematics and Technology)
  • Mechanical Engineering
  • Design of Sustainable Energy Systems

Other applicants must have completed the following DTU courses or similar to apply for admission to the MSc Eng programme in Sustainable Energy Systems:

📊 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。

🔗 站内归类方向

该项目已归属站内方向「能源工程」,可到该校该方向页看同方向的其他项目与录取案例

❓ 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。
丹麦技术大学可持续能源系统硕士的语言成绩要求是什么?
英语(要求 B-level, IELTS, TOEFL, CAE)。
丹麦技术大学可持续能源系统硕士的入学要求是什么?
National Applicants (holding a Bachelor from Denmark) BSc Eng applicants. The following Bachelor of Science in Engineering programmes from DTU give students access to admission MSc Eng programme in Sustainable Energy Systems: Architectural …
丹麦技术大学可持续能源系统硕士一共开设多少门课程?
课程设置共 56 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。