卡迪夫大學

Overview

The MSc in Data-Intensive Astrophysics 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 the “in-demand” field of “Big Data” and 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. It has been estimated that “Big Data” has already added thousands of new jobs to the UK economy and this is likely to increase as new approaches to data transform the public, private and academic sectors. 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 Astrophysics (such as star formation, galaxy formation or gravitational waves), providing the hands-on experience needed to succeed in the dynamic field of Data-Intensive Astrophysics as well as wider aspects of data science.

Course structure

The MSc Data Intensive Astrophysics is a two-stage (120 credits taught, 60 credits research project) Postgraduate Taught programme delivered over three terms (autumn, spring, and summer) for a total of 180 credits.

Learning and assessment

You will be taught through a combination of lectures, tutorials, seminars and practical computer sessions. Lectures can take a variety of forms depending on the subject material being taught. Generally, lectures are used to convey concepts, contextualise research activities in the School and to demonstrate key theoretical, conceptual and mathematical methods. Lectures will always be kept up-to-date, with the specialist modules providing access to cutting-edge concepts and methods. Our modules typically involve a blend of formative and summative assessments and feedback from teaching staff to students related to these.

Career prospects

Typically, an MSc degree in Data-Intensive Astrophysics will open up opportunities in the following areas: Theoretical, experimental and computational doctoral research in astrophysics; Numerate, technical, research, development and engineering positions in related scientific fields; Physics, mathematics and general science education.