- Learn from elite academics at one of the UK’s top 10 universities for maths, statistics and computer science (Times Higher Education 2024).
- Understand the breadth of what’s possible with data, on a course that draws on multiple disciplines.
- Develop professional skills that are highly sought after across a range of sectors.
- Apply data driven insights to environmental challenges.
MSc Data Science (Earth and Environmental Analytics)
MSc Data Science (Earth and Environmental Analytics)
About
Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Earth and Environment Analysis master’s will teach you invaluable skills for today’s economy such as:
- data analysis
- project design
- computational methods
- data stewardship.
This pathway focusses particularly on the data techniques and uses that are most relevant to environmental management, with optional course units exploring themes such as pollution control and subsurface geoscience.
The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.
Upon course completion, you’ll have developed a highly valued skillset, enhancing your employability across countless sectors.
Disciplines
Master of Science (MSc)
Requirements
Entry Requirements
See application and selection tab.
In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
- data analytics and/or statistics;
- computational subjects; and
- pathway specific requirements.
These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are:
- Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health)
- Experience in working in data science, GIS or environmental based data analysis
Evidence of training in environment-themed methods or topics
English Program Requirements
Applicants whose first language is not English should meet the following language requirements:
- IELTS Academic test score of 7 overall with no component score below 6.5
- TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757
We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.
To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:
6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.0 in each sub-skill
10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 in three sub-skills, and 5.5 in no more than one sub-skill
If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course.
Career
Career opportunities
Global demand for data scientists continues to grow. On this course, you’ll develop a truly international skillset, opening doors in countless industries.
Some of the fields you can apply your data skills in are:
- banking and financial services
- The Civil Service and local government
- the IT and tech sector
- high performance sports analysis.
- large retail chains
- the pharmaceutical industry
The University has its own dedicated Careers Service that you would have full access to as a student and for two years after you graduate.
At Manchester you will have access to a number of opportunities to help boost your employability .
Fee Information
Tuition Fee
GBP 35,200Application Fee
GBPMSc Data Science (Earth and Environmental Analytics)
The University of Manchester
United Kingdom,
Manchester
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