MSc in Scientific Computing with Data Science, University of Bristol

Bristol,

12 Months

Check Eligibility

About this course

If you’re a recent graduate in a Physical or Life Science looking to deepen your understanding of computing and its role in scientific research, this programme is a great fit. It aims to develop your skills in coding, machine learning, and high-performance computing, and teaches you how to apply these to complex scientific problems across various disciplines such as physics, chemistry, biology, and earth sciences. The course combines theoretical learning with practical application through workshops, project work, and industrial visits, giving you experience in modelling scientific systems and solving real-world problems. The programme leverages Bristol’s top research ranking and world-class facilities, especially in supercomputing and data science, to ensure you learn from experts engaged in cutting-edge research.

Why this course is highly recommended

This programme is highly recommended for students interested in applying computational techniques to scientific problems. With a focus on practical, hands-on learning supported by expert academics, students will gain key skills in coding, data analysis, and software engineering applicable across industries. The strong links with industrial and academic partners, along with opportunities for networking and projects, open doors for future employment and research roles in a competitive job market. Bristol’s reputation for research excellence enhances the value of this qualification.

Specialisation

The programme focuses on scientific computing and data science as an interdisciplinary field. You will learn modern programming languages, data analysis, machine learning algorithms, and cloud technologies, all tailored for application in scientific research. The course is designed to build on your core scientific knowledge, whether from physical or life sciences, and enhance it with advanced computational techniques.

Course fees

Application fees

1st year tuition fees

36.00L

Living cost

Degree requirements

Applicants should have an upper second-class honours degree or international equivalent in disciplines such as chemistry, earth sciences, physics, biological sciences, or engineering. Candidates must demonstrate competency in mathematics, with modules like data science, statistics, or applied mathematics at 60% or higher. Experience in computing is not required, but relevant work experience or postgraduate qualifications may be considered. The course accepts students from a variety of scientific backgrounds with the necessary math skills.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

Career prospects

Graduates will be equipped for roles in computing, data analysis, and scientific research within both private and public sectors. The programme’s focus on applied skills and industry contacts helps students build a professional network, improve communication and project management skills, and access job opportunities in data science, scientific computing, and research roles. The practical projects and industry visits further enhance employability in a competitive landscape.

FAQs

What background do I need to apply for this course?

A degree in physical or life sciences with a good math background (modules like data science, statistics, or applied mathematics at 60% or above) is required. Computing experience is not essential, but relevant work experience or postgraduate qualifications can be considered.

What is the duration and start date of the programme?

The programme lasts one year full-time, starting in September 2025.