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The MSc Digital Ocean at Îá°®³Ô¹Ï is an innovative, multidisciplinary programme designed for students who want to harness cutting-edge digital technologies to explore, analyse, and understand the marine environment. Combining expertise in oceanography, programming, data science, and machine learning, this course equips graduates with the skills needed to address global challenges in marine science, climate change, and ocean sustainability.

Course highlights

• Interdisciplinary approach: Gain expertise in ocean science, programming, and data analytics to tackle real-world marine challenges.
• Advanced technical training: Learn highly sought-after skills in Python, MATLAB, GIS, and machine learning.
• Research-led teaching: Benefit from Bangor’s internationally recognised expertise in marine science and digital ocean technologies.
• Career-ready skills: Graduates are well-equipped for careers in marine research, environmental consultancy, ocean observing systems, and data science.

The Digital Ocean MSc is ideal for students with backgrounds in marine science, environmental science, or related disciplines who want to use digital innovation to transform our understanding of the ocean. If you are passionate about the marine environment and want to develop cutting-edge technical skills to study and protect it, as well as super charge your career, this course is for you.

What will you study on this course?

The MSc Digital Ocean provides a strong foundation in oceanographic principles, climate science, and data-driven approaches. You will learn how to work with vast marine datasets, gaining expertise in programming, machine learning, and information visualisation to extract meaningful insights about the ocean.

Core areas of study include:

• Climate and climate change, understanding Earth’s climate system, past and future climate change, and the ocean’s role in regulating global climate.
• Information visualisation, developing skills to communicate complex oceanographic data effectively through digital visualisation techniques.
• Programming & data science, learning Python programming and MATLAB to analyse and model oceanographic data, with a focus on real-world applications.
• Machine learning and AI, exploring predictive modelling and AI-driven solutions for marine research and conservation.
• Ocean data analysis, learning state-of-the-art tools such as GIS, numerical modelling, and remote sensing to interpret ocean dynamics.

Practical Experience

Practical experience is at the heart of this programme we provide hands on learning and access to exciting research opportunities. You will work with real-world oceanographic datasets, including satellite observations, sensor networks, and fisheries data. This course also emphasises computational techniques and quantitative skills, ensuring you are well-prepared for careers in marine technology, ocean observation, and environmental data science.

Individual Project

The MSc Individual Project is the pinnacle of the programme, where you will undertake an independent research project aligned with our cutting-edge marine research. This provides an opportunity to apply your technical expertise to a topic of your choice, working alongside leading researchers in the field.

Candidates are normally expected to have a minimum 2.ii Bachelors degree in a numerical science. 

Graduates from other subject areas (e.g. Geography, Geology, Biology or other sciences) and those with two or more years relevant work  experience are also encouraged to apply. Applications will be assessed on individual merit. Applicants are expected to demonstrate high levels of motivation and experience in their Personal Statement and CV and must have qualifications in mathematics to A-level (or equivalent) or beyond.

All applicants are expected to supply a satisfactory Personal Statement which demonstrates knowledge of the programme and a clearly stated motivation. Personal Statements written in a generic format, without reference to the programme will be rejected.

All applications must be accompanied by reference. (The reference requirement is waived for recent Îá°®³Ô¹Ï graduates only).

International applicants whose first language is not English or Welsh are required to provide evidence of English language proficiency. Minimum English language requirements are IELTS 6.5 (with no element below 6.0), or equivalent.

Digital Ocean MSc graduates are well-equipped for careers in marine research, environmental consultancy, ocean observing systems, and data science.