Overview
- Degree awarded
- Master of Science (MSc)
- Duration
- 1 year
- Entry requirements
-
- high 2:1 honours degree (or overseas equivalent)
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
- How to apply
- Apply online
Course options
Full-time | Part-time | Full-time distance learning | Part-time distance learning | |
---|---|---|---|---|
MSc | Y | N | N | N |
Course overview
- 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.
Open days
The University holds regular open days, where you will have the opportunity to find out more about our facilities and courses.
On this day, you will find out more about the School, our resources, and meet academic and admissions staff who will be able to answer any questions you have.
For more information, see open days and visits .
Fees
For entry in the academic year beginning September 2024, the tuition fees are as follows:
-
MSc (full-time)
UK students (per annum): £16,000
International, including EU, students (per annum): £32,000
Further information for EU students can be found on our dedicated EU page.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
We offer a number of postgraduate taught scholarships and merit awards to outstanding applicants and international students.
In addition, the Manchester Alumni Scholarship Scheme offers a £3,000 reduction in tuition fees to University of Manchester alumni who achieved a First class Bachelor's degree and are progressing to a postgraduate taught master's course.
For more information, see fees and funding or search the University's postgraduate funding database.
Contact details
- School/Faculty
- School of Social Sciences
- Contact name
- School of Social Sciences Admissions Office
- Telephone
- +44 (0) 161 306 5500
- pg-soss@manchester.ac.uk
- Website
- https://www.socialsciences.manchester.ac.uk/social-statistics/
- School/Faculty
-
See: School Subjects
Courses in related subject areas
Use the links below to view lists of courses in related subject areas.
Entry requirements
Academic entry qualification overview
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 language
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.
English language test validity
Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course.
Applicants from Majority English-speaking countries
If you are a national of a majority English-speaking country (or have studied for a full bachelor's degree or higher from one of these countries) you may be exempt from submitting further evidence of English language proficiency.
Other international entry requirements
We accept a range of qualifications from across the globe. To help international students, the university provides specific information for many individual countries. Please see our country-specific information page for guidance on the academic and English language qualifications which may be accepted from your country.
Application and selection
How to apply
Advice to applicants
In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
- data analytics and/or statistics;
- computational subjects;
- pathway specific requirements.
These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
Staged Admissions
As there is a high demand for our courses, we operate a staged admissions process with selection deadlines throughout the year. Due to the competition for places and high quality of applications that we receive, we give preference to students from high ranking institutions and with grades above our minimum entry requirements.
Please ensure you submit all supporting documentation with your application before the application deadline to avoid a delay in processing.
Applications for 2024 entry:
Stage 1: Application received by 8th December 2023 ; Application update by 22nd February 2024
Stage 2: Application received by 3rd March 2024 ; Application update by 25th April 2024
Stage 3: Application received by 5th May 2024 ; Application update by 8th June 2024
Stage 4: Application received by 1st July 2024 ; Application update by 25th July 2024
Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date.
Applications received after our final selection deadline will be considered at our discretion if places are still available.
Please note: All places are subject to availability and if you apply at one of the later stages, some courses may already be reaching capacity or be closed to further applications. We, therefore, recommend that you apply early in the cycle to avoid disappointment.
Course details
Course description
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.
Aims
This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges and reap the rewards of interdisciplinary teamwork.
There is growing evidence across academia, policy makers and industry that `Environmental Intelligence (EI)' is an emerging research area of strategic global importance. Its primary aim is to understand and respond to the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.
Key areas of concern include:
- Climate Change (e.g., resilient cities, clean power, smart transport options, sustainable production).
- Biodiversity and Conservation (e.g., habitat protection and restoration, pollution control, realizing natural capital), Natural Hazards (e.g., predicting and forecasting, early warning systems, resilient infrastructure).
- Environment and Health (e.g., air quality, water and sanitisation, social and environmental inequalities).
Mapped to The University of Manchester's research strengths, the aim of this pathway is to prepare you for new and exciting training across cutting edge data science and environmental science technologies to integrate multiple complex data sources and create tools that enable informed decision making for future environmental systems.
Course unit details
Through a set of core units, you will develop a set of key data science skills.
The core units are:
- Machine Learning and Statistics (both semesters);
- Understanding Databases;
- Understanding Data and their Environment;
- Applying Data Science
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
Title | Code | Credit rating | Mandatory/optional |
---|---|---|---|
Statistics and Machine Learning 1: Statistical Foundations | DATA70121 | 15 | Mandatory |
Statistics & Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics | DATA70132 | 15 | Mandatory |
Understanding Databases | DATA70141 | 15 | Mandatory |
Applying Data Science | DATA70202 | 15 | Mandatory |
Understanding Data and their Environment | DATA71011 | 15 | Mandatory |
Extended Research Project | DATA72000 | 60 | Mandatory |
Programming in Python for Business Analytics | BMAN73701 | 15 | Optional |
Privacy, Confidentiality and Disclosure Control | DATA70402 | 15 | Optional |
Measuring and Predicting 2 | EART60071 | 15 | Optional |
Computational Subsurface Geoscience | EART60152 | 15 | Optional |
Displaying 10 of 19 course units | |||
Display all course units |
Disability support
Careers
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 .