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1 Year On Campus Masters Program
University of PlymouthThe MSc Data Science and Environmental Intelligence at the University of Plymouth is a 12 month full-time postgraduate degree that integrates advanced data science with environmental monitoring and sustainability. Designed for graduates from a range of disciplines, the course focuses on using AI, automation, and big data to tackle environmental challenges.
Delivered through hands-on modules, students gain experience in environmental sensing, analytics, and software development using state-of-the-art laboratories and real-world data.
An optional placement year allows for in-depth industry experience in terrestrial or marine environmental sectors.
Teaching Methods: Lectures, seminars, tutorials, labs, fieldwork, sensor-based data collection, hands-on software training, and industry collaboration
Assessment Methods: Coursework, project work, presentations, technical reports, software-based assignments, and a final research dissertation
Course Overview:
Core:
Placement Preparation
Environmental Observations and Quality Assurance
Terrestrial Environmental Sensors and Big Data
Marine Environmental Monitoring
Software Development and Databases
Big Data Visualisation and Analytics
Applied Data Modelling and Artificial Intelligence
Optional:
MSc Dissertation
Placement year (following the completion of the taught modules)
Real-World Data Projects: Core modules emphasize hands-on data collection and analysis using environmental sensors, AI, and automation
Industry-Relevant Curriculum: Course developed in collaboration with environmental sector professionals to align with current industry needs
Placement Preparation Module: Helps students explore, secure, and prepare for environmental sector placements
Specialist Facilities: Students work in advanced labs and use cutting-edge sensing and data analytics technology
Dissertation Flexibility: Projects may target either marine or terrestrial environments, aligned with career or research interests
Optional Placement Year: 6-12 month placement to gain real-world experience and build professional networks
Rising demand for professionals who can combine data science with environmental intelligence in sustainability, climate policy, and monitoring
Graduates are prepared for roles in marine science, climate analytics, environmental consulting, and AI-driven environmental innovation
Strong foundation for PhD research and academic or R&D roles
Placement year enhances employability with industry insights and real-world skills
Supportive learning environment and inclusive approach promote academic and career success
Scholarships and funding opportunities available to eligible students
Entry Requirements: An honours degree (a second class or better) in a relevant discipline (e.g., BSc Geography, Environmental Science, Geological Sciences, Earth Science, Marine Science, Ocean Science, Data Science, Mathematics, Computing, Chemistry) OR overseas equivalent. If you apply with a degree in a none-related subject this will also be considered. If you apply without recent formal qualifications, but with relevant industry experience you will also be considered.IELTS: 6.5 overall with no less than 5.5 in any component.TOEFL iBT: Overall 90, with component scores of listening 17, reading 18, speaking 20, writing 18Industry Placement option availableScholarships availablePart time studies available ONLY for home studentsYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Environmental Data ScientistEnvironmental AnalystSustainability AnalystMarine Data ScientistEnvironmental ConsultantSensor/Data Systems SpecialistBig Data AnalystAI Solutions Developer (environmental)Environmental Intelligence ResearcherEnvironmental Policy Advisor
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