Department of Computer Science | MSc Scientific Computing and Data Analysis (Astrophysics) 12 months Postgraduate Programme By Durham University |TopUniversities

Department of Computer Science | MSc Scientific Computing and Data Analysis (Astrophysics)

Programme Duration

12 monthsProgramme duration

Tuitionfee

34,500 GBPTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Developments in many areas of science and engineering are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference.


Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:


  • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
  • Mathematical aspects of data analysis and the simulation and analysis of mathematical models
  • Implementation and application of fundamental techniques in an area of specialisation (as well as Astrophysics, we offer options in Financial Technology, Engineering, AI Platforms, Computer Vision and Robotics, or Environmental and Geographic Information Systems)


There’s great synergy between the modules, and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and directly translate them into working codes in their respective application areas.


If you have an undergraduate degree in a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level in astrophysics, either in academia or in industry, then this could be the course you’re looking for.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Developments in many areas of science and engineering are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference.


Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:


  • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
  • Mathematical aspects of data analysis and the simulation and analysis of mathematical models
  • Implementation and application of fundamental techniques in an area of specialisation (as well as Astrophysics, we offer options in Financial Technology, Engineering, AI Platforms, Computer Vision and Robotics, or Environmental and Geographic Information Systems)


There’s great synergy between the modules, and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and directly translate them into working codes in their respective application areas.


If you have an undergraduate degree in a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level in astrophysics, either in academia or in industry, then this could be the course you’re looking for.

Admission Requirements

4.5+
120+
6.5+
62+
176+
All streams require a 2:1 BSc (Honours) degree or international equivalent
  • In Physics OR
  • In Computer Science OR
  • In Mathematics OR
  • In Earth Sciences OR
  • In Engineering OR
  • In any natural sciences with a strong quantitative element.

We encourage applicants to select a specialisation area that aligns with their background. Please note that standard business degrees do not provide the necessary mathematical foundation.

Additional requirements
  • Applicants must demonstrate strong programming skills in at least one compiled language, preferably C or C++, although Rust, Java, C#, Fortran, or Pascal are also acceptable. Proficiency in Python may suffice if the applicant has a strong background in their chosen specialisation. Those lacking experience in C or C++ are advised to enrol in our pre-sessional course.
  • We require all applicants to demonstrate strong quantitative mathematical knowledge in their undergraduate degree
  • Applicants must have introductory physics modules if holding a non-physics degree

1 Year
Sep

Tuition fees

Domestic
15,000 GBP
International
34,500 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Postgrad Programmes 170