Scientific Computing and Data Analysis (Earth and Environmental Sciences)

Program Overview

The Scientific Computing and Data Analysis (Earth and Environmental Sciences) MSc program at Durham University equips students with advanced skills in using sophisticated datasets and tools to tackle cutting-edge problems in Earth's environment and resource management. It combines theoretical knowledge with practical experience, focusing on real-world applications and research. Graduates are well-prepared for careers in environmental consulting, climate science, data science, research, and software development.

Program Outline

Outline:

This program is designed to equip students with advanced knowledge and skills in using sophisticated datasets and tools to tackle cutting-edge problems relating to Earth's environment and resource management. It offers a blend of theoretical and practical knowledge, focusing on the application of scientific computing and data analysis techniques.

Program Structure:

• Modules:
• Introduction to Machine Learning and Statistics
• Introduction to Scientific and High Performance Computing
• Professional Skills
• Earth and Environmental Sciences
• Project
• Plus, optional modules like:
• Advanced Statistical and Machine Learning: Foundations and Unsupervised Learning
• Advanced Statistics and Machine Learning: Regression and Classification
• Data Acquisition and Image Processing
• Performance Modelling, Vectorisation and GPU Programming
• Advanced Algorithms and Discrete Systems
• Computational Linear Algebra and Continuous Systems
• Teaching methods: Lectures, practical classes/computer labs, fieldwork, independent study, research and analysis, project (dissertation), coursework, group and individual presentations.
• Assessment: Coursework, presentations, project (33% of total mark).

Assessment:

The program utilizes a combination of assessment methods, including:

• Coursework: Assignments, quizzes, and other activities designed to evaluate understanding of specific modules.
• Presentations: Individual or group presentations to showcase research and analysis findings.
• Project: A significant research project (dissertation) worth one-third of the final grade, focusing on a chosen topic within Earth and environmental sciences, scientific computing, data analysis, or related areas.

Teaching:

The program is delivered by a collaborative team from the Department of Computer Science, Department of Earth Sciences, Department of Mathematical Sciences, Business School, and Department of Physics.

Teaching methods:

• Lectures: Introducing core concepts and theories.
• Practical classes/computer labs: Hands-on experience with data analysis and scientific computing tools.
• Fieldwork: Collecting and analyzing real-world data.
• Independent study: Individual research and exploration of chosen topics.
• Research and analysis: Developing and applying analytical skills.
• Project/dissertation: Extensive research project involving data analysis, problem-solving, and scientific writing.
• Coursework: Assignments and assessments to solidify understanding of specific modules.
• Presentations: Individual or group presentations to hone communication and presentation skills.

Faculty:

The program features experienced academics and researchers from various departments, bringing their expertise and industry insights to the classroom.

Unique approaches:

• Focus on real-world applications: The program emphasizes the application of scientific computing and data analysis techniques to address actual environmental and resource management challenges.
• Access to cutting-edge tools and technology: Students gain experience with advanced computing systems, software, and data acquisition tools.
• Strong research focus: The program is embedded in ongoing research activities, allowing students to engage with cutting-edge developments and contribute to knowledge creation.
• Collaboration with industry partners: The program offers opportunities to work on projects with real-world impact in collaboration with industry partners.

Careers:

Graduates of this program are well-equipped for careers in various sectors related to Earth and environmental sciences, data analysis, scientific computing, and related fields. Some potential career paths include:

• Environmental consultant: Using data analysis and modeling to inform environmental decision-making.
• Climate scientist: Researching and analyzing climate data to understand climate change and its impacts.
• Data scientist: Developing and applying data analysis techniques to solve complex problems in various industries.
• Research scientist: Conducting research and developing new knowledge in Earth and environmental sciences or related fields.
• Software developer: Creating and implementing software solutions for data analysis, scientific computing, and other applications.

Other:

• The program is well-suited for students with a strong quantitative background in physics, Earth sciences, mathematics, computer science, or other natural sciences.
• Students are encouraged to choose a specialization area aligned with their interests and background.
• The program emphasizes developing strong research, analysis, and communication skills.
• Graduates are prepared to contribute to the advancement of knowledge and solutions in Earth and environmental sciences and related fields.

Full Time Fees

Tuition fees

Home students £13,500 per year EU students £30,900 per year Island students £13,500 per year International students £30,900 per year The tuition fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).