Tech‑powered environmental intelligence
Learning driven by industry and active researchers
Pathways to impact and employability
Webinar | 7 May 2026
Details
Year 1
Core modules
APIE502
Placement Preparation
This module is aimed at students who may want to undertake an optional industrial placement upon completion of the taught programme. It is designed to assist students in their search for a placement, and preparation for the placement itself.
GEES531
Environmental Observations and Quality Assurance
20 credits
This module introduces the fundamental concepts of ‘the analytical approach’ to working with environmental problems, including student-lead case studies that allowing them to learn and apply the principles of good practice for observational data collection, quality control and traceability. Research study skills sessions are included, leading to the planning of a research dissertation.
100% Coursework
GEES535
Terrestrial Environmental Sensors and Big Data
20 credits
Terrestrial sensor networks are revolutionising the design of urban environments, as well as informing land and catchment management. This module builds upon the semester 1 by providing students with the opportunity to solve real-world questions relating to sustainability challenges using expanded datasets from automated sensors and environmental observations used in current earth and environmental science research.
60% Coursework
40% Practicals
MAR538
Marine Environmental Monitoring
20 credits
Monitoring of the marine environment provides data that underpins research, exploitation, management and policy development. Students will learn about the practicalities of reliable marine data collection using autonomous platforms and sensors, be introduced to secondary data sources from across the subject area, and develop associated skills in spatial and time-series data analysis techniques and interpretation.
60% Coursework
40% Practicals
COMP5000
Software Development and Databases
20 credits
The critical first part of a data science project is extracting and cleaning the data (dealing with missing values, for example.) In this module you will be taught how to use a programming language to do common data science tasks, such as data cleaning, and how to build a Graphical User Interface to a program. You will also learn the design of relational databases, and the extraction of data from a database using SQL.
100% Coursework
MATH517
Big Data Visualisation and Analytics
20 credits
There is an ever increasing amount of Big Data available. You will learn state-of-the-art techniques for extracting valuable information and insights from Big Data. We'll teach you professional software to clean, visualize and analyse complicated datasets. We'll also provide you with experience of professional reporting your Big Data analyses.
100% Coursework
MATH518
Applied Data Modelling and Artificial Intelligence
20 credits
We'll teach you state-of-the-art modelling and analytics techniques for Data Science, so that you can provide informed strategic advice in a broad range of business and related situations. You'll meet techniques to extract knowledge from data and to update that knowledge when new observations become available. We'll also discuss popular Machine Learning algorithms for making classification decisions.
100% Coursework
Optional modules
GEES520
MSc Dissertation
60 credits
This is your chance to take on independent, postgraduate-level research project. You get to choose a topic that excites you, work with expert advisors, and dive deep into cutting-edge methods and analysis. You'll challenge ideas, explore new perspectives, and develop real expertise. In the end, you’ll present your findings in a dissertation and showcase your research - proving just how far you’ve come.
100% Coursework
PROJ522
MSc Dissertation
60 credits
The student will complete an independent research project that they have designed. The project can be submitted in a journal paper format, a dissertation or another written format as appropriate to the discipline. The write-up will include project aims, research problem to be addressed, methodology, data analysis, interpretation, discussion/synthesis, conclusions, supported by Figures and Tables, as appropriate.
100% Coursework
Optional placement year following completion of the taught programme
Core modules
APIE503
Industry Placement
This module enables students to take a 6-12 month placement linked to their programme. Assessment is based on Progress Reports, Regional Tutor evaluation, Employer evaluation and self-evaluation via reflective report (or portfolio).
Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.
The following programme specification represents the latest programme structure and may be subject to change:
Careers, industry and research
Hear from our students
Ultimately, I aspire to make a positive impact on the world around me, contributing to the development of sustainable solutions that address pressing environmental and climate-related issues.
The course is brilliant for teaching you new skills or building on ones from your undergraduate. We did lots of lab work, which I hadn’t done before, and also lots of field work. We had the opportunity to go out on the boats, and we were lucky enough to see dolphins!
This course teaches some very powerful data processing techniques such as the use of coding languages and data processing software.
Specialist facilities
Learn more about our facilities
Research-informed teaching
Dr Lam to help shape UN’s next major climate change assessment
Dr Cho Kwong Charlie Lam
Lecturer in Environmental Science
Professor Simon Ussher
Professor of Marine and Analytical Chemistry
Dr Marco Palomino
Visiting Associate Professor
Postgraduate student life
The University takes every single step to ensure that students are supported. There are continuous workshops on referencing, a writing café and peer-supported learning sessions. Furthermore, lecturers are generally aware and sensitive to transitioning to university therefore they are always offering support when needed.
Postgraduate student
Your Plymouth community
Your societies
Fees and funding
Tuition fees
£11,700 per year
£650 per 10 credits
Tuition fee price changes
£21,000 per year
Tuition fee price changes
Fund your studies
Postgraduate Masters Loans (PGML)
Tuition fee discount for University of Plymouth graduates
- 10% or 20% discount on tuition fees for home students
Supporting students with the cost of living
Apply
Entry requirements
Extended entry requirements
- a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element).
English language requirements - evidence of qualifications (degree certificates or transcripts), to show that you meet, or expect to meet the entry requirements
- a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
- your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
- proof of sponsorship, if applicable.
Ready to apply?
After you apply
7575
1 year
(+ optional placement)
Full-time, Part-time route available
Plymouth
Entry requirements
If you are an international applicant interested in information and future support you can
BSearch entry requirements for your country
Extended entry requirements
- a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element).
English language requirements - evidence of qualifications (degree certificates or transcripts), with translations if not in English, to show that you meet, or expect to meet the entry requirements
- a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
- your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
- proof of sponsorship, if applicable.
Ready to apply?
Need support with your application?
- Personal statement guidance
- Student visa support
- Travel and arrival information
- and more
After you apply
7575
1 year
(+ optional placement)
Full-time, Part-time route available
Plymouth
International students
Visit us at a postgraduate on-campus open evening
Athena Swan Silver awarded to the School of Engineering, Computing and Mathematics