国际学生入学条件
A copy of your degree certificate and transcripts which show you have achieved a 2:1 honours degree in a relevant subject area such as astronomy, astrophysics, computer science, engineering, mathematics, physics, or related physical science, or an equivalent international degree. If your degree certificate or result is pending, please upload any interim transcripts or provisional certificates.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English - At least 69 overall with a minimum of 59 in all communicative skills
课程简介
The MSc in Data Intensive Physics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research as well technical, development and engineering positions in related scientific fields. By combining data analysis and computational techniques with a core science discipline, the course is intended to satisfy the increasing demand for well-qualified postgraduates who are equipped with the expertise to respond to a range of challenges arising from this exciting field. The course is delivered by members of our Data Innovation Research Institute, which was recently established to conduct research into the aspects of managing, analysing and interpreting massive volumes of textual and numerical information. A key component of the course is a 3 month summer project, which will be based either in our School of Physics and Astronomy, or with one or more of our external partners. The project will focus on the application of modern data science methodologies to a problem in physics (such as photonics, biophotonics, nanoscience, materials physics, medical physics, or other areas of theoretical or computational physics), providing the hands-on experience needed to succeed in the dynamic field of Data Intensive Physics as well as wider aspects of data science. Career prospects - Typically, an MSc degree in Data Intensive Physics will open up opportunities in the following areas: Theoretical, experimental and computational doctoral research; Numerate, technical, research, development and engineering positions in related scientific fields and Physics, mathematics and general science education.
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