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Placement Preparation (APIE502)
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.
Environmental Observations and Quality Assurance (GEES531)
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.
Terrestrial Environmental Sensors and Big Data (GEES535)
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.
Marine Environmental Monitoring (MAR538)
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.
Modelling and Analytics for Data Science (MATH501)
This module gives students an understanding of modelling and analytics techniques for Data Science. It supplies modern data modelling tool boxes for making strategic decisions in a broad range of Business related practical situations. It offers a hands-on introduction to Bayesian inference and machine learning. It provides additional practice in making professional presentations.
Big Data and Social Network Visualization (MATH513)
Sophisticated analytics techniques are needed to visualize today's increasing quantities of Big Data. Up-to-date R tools including dplyr for data manipulation, ggplot2 for visualization, and knitr/LaTeX for document presentation are studied. These are applied to database interrogation, social network visualization and sentiment analysis. The module provides considerable experience of writing professionally documented R code using RStudio.
Software Development and Databases (COMP5000)
This module will provide knowledge and skills in software development and database design. It will cover computational problem solving, abstraction and problem decomposition. The module will enable students to identify appropriate system requirements related to the relational database model.
MSc Dissertation (GEES520)
The student will complete an independent research project that they have designed in semester 1 as part of their research skills development. The record of the research will communicate the project aims, research problem, methodology, data analysis, interpretation, discussion/synthesis and conclusions in the format specified and to a professional standard.
MSc Dissertation (MAR524)
The student will complete a research project that they have designed in the semester 1 research skills module. The project can be submitted in the format of a journal paper or dissertation. The write-up will communicate the project aims, methodology, data analysis, interpretation, synthesis and conclusions.
Industry Placement (APIE503)
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:
The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.
Student | 2024-2025 | 2025-2026 |
---|---|---|
Home | £11,000 | £11,350 |
International | £19,800 | £20,400 |
Part time (Home) | £610 | £630 |
Telephone: +44 (0)1752 585858
Email: admissions@plymouth.ac.uk
Learn more about the programme, its relevancy to real world issues and the career opportunities available.