可再生和可持续能源技术硕士

可再生能源的生产正在迅速增长，全球缺少训练有素的工程师。通过本硕士课程，您将获得工程理事会通过机械工程师协会（IMechE）认可的高度相关的资格证书。该课程涵盖诸如光伏，风能，热机械能转换等主题。系统，混合可再生能源系统，能效，建筑能源建模和工程优化。大学在可再生能源和可持续能源技术方面享有盛誉。您将受益于一流的技术设施，包括专业研讨会。我们还有一个专门用于电动汽车的电力网络，风能，光伏和电池测试的实验室。
With climate change dominating news agendas and world economies committing to decarbonisation, there's never been a better time to study a Master's in renewable energy. It is predicted that there will be over 27,000 renewable energy jobs in the UK by 2030, and the North East is rapidly becoming a renewable energy hub. Thousands of renewable energy jobs are due to be created in the region over the next few years from large renewables projects such as the UK's first gigaplant manufacturing car batteries and a £300 million plant turning waste to energy. Beyond the North East, demand for renewable energy and sustainable solutions is growing worldwide and there is a global shortage of trained engineers to fill renewable energy jobs worldwide. Northumbria's Renewable and Sustainable Energy Technologies MSc is a highly relevant qualification, which is accredited by the Engineering Council through the Institution of Mechanical Engineers.<br><br>By the end of this course you'll be in an excellent position to start or continue a career in renewable and sustainable energy technologies. Renewable energy production could increase by up to 1,000% by 2050 compared to 2010, according to the UN Intergovernmental Panel on Climate Change, so there will be a pressing need for well-trained professionals. You could also undertake a postgraduate research degree such as an MPhil, PhD and Professional Doctorate. If you decide to start up your own business, it's good to know that the combined turnover of our graduates' start-up companies is higher than that of any other UK university. Whatever you decide to do, you will have the transferable skills that employers expect from a master's graduate from Northumbria University. These include the ability to tackle complex issues through conceptualisation and undertaking research, the ability to contribute to new processes and knowledge, and the ability to formulate balanced judgements when considering incomplete or ambiguous data.