Scientific and Data Intensive Computing MSc

University College London (UCL)

United Kingdom, London

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Home/United Kingdom/London /University College London (UCL)/Scientific and Data Intensive Computing MSc

University College London (UCL)

United Kingdom , London

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

London

Bloomsbury

Program Language

English

Start & Deadlines

Next Intake Deadlines 31-Mar-2023

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Tuition Fee

GBP 37,500 / year

Apply Date 31-Mar-2023

Scientific and Data Intensive Computing MSc

About

About this degree

This programme aims to provide a rigorous formal training in computational science to produce highly computationally skilled scientists and engineers capable of applying numerical methods and critical evaluation of their results to their field of science or engineering. It brings together best practices in computing with cutting-edge science and provides a computing edge over traditional science, engineering and mathematics programmes.

Who this course is for

This programme is suitable for students with motivated and inquisitive minds who have a background in science, engineering or a related subject, and a strong interest in computing. Some experience in programming is essential.

Read about what it takes to study for a Master's at UCL

What this course will give you

UCL Physics & Astronomy is among the top departments in the UK for this subject area: UCL is consistently placed in the global top 20 across a wide range of university rankings – and is currently 4th in the UK in the QS World University Rankings by Subject 2023 for Physics & Astronomy.

The degree is associated with UCL’s Centre for Data Intensive Science and Industry, which is hosted by the department of Physics and Astronomy. The Centre also runs a highly successful Centre for doctoral training hosting over 50 PhD students.

Our wide-ranging expertise provides opportunities for ground-breaking interdisciplinary investigation. World-leading experts in the field and students benefit from a programme of distinguished visitors and guest speakers in many scientific seminars. In this way, a network of collaborators, mentors and peers is created, which students can access in their future careers.

This degree has been designed to balance professional software development and high-performance computing skills with a comprehensive selection of numerical mathematics and scientific subjects, culminating in a scientific computing dissertation project. The dual aspect of a science and computing degree enables students to tackle real-life problems in a structured and rigorous way and produce professional software for their efficient solution.

The department of Physics & Astronomy at UCL are proud holders of the Athena Swan Silver Award and achieved a Juno Champion Award from the Institute of Physics.

Read about what you'll get out of a graduate programme

Scientists and engineers are tackling ever more complex problems, most of which do not admit analytical solutions and must be solved numerically. Numerical methods can only play an even more important role in the future as we face even bigger challenges. Therefore, skilled scientific programmers are in high demand in industry and academia and will drive forward much of the future economy.

Requirements

Entry Requirements

Normally a first-class Bachelors degree in science, engineering or a related subject and with a strong interest in computing or an overseas qualification of the equivalent standard. Students with a first degree in Finance, Management, Actuarial Science or related subjects will not normally be accepted.

English Program Requirements

The English language level for this programme is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Career

Students develop a comprehensive set of skills which are in high demand both in industry and academia: professional software development skills including state-of-the-art scripting and compiled languages; knowledge of techniques used in high-performance computing; understanding and an ability to apply a wide range of numerical methods and numerical optimisation; a deeper knowledge of their chosen science subject; oral and written presentational skills.