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The course encompasses several different educational and societal objectives:
Societal demand for multi-domain expertise to tackle the challenges posed by observing and modelling complex systems;
The need to train postgraduate students with high levels of multidisciplinary fluency and team working skills; and,
A demand for highly trained research scientists able to drive data analysis on feature-rich sets of data from diverse sources.
The course has four primary objectives for the training it will provide students:
To develop students’ expertise in the techniques used to study planets, from the Earth’s deepest past to the solar system planets and on to exoplanets;
To give students a working knowledge of the structure of life, its essential physical-chemical requirements, and its impacts on planetary environments;
To ensure students get essential practical experience in running a research project in a team; and,
To build students’ capacity in modern data handling techniques and convey an awareness of the wide range of academic and industrial applications of these skills.
Program overview
Main Subject
Astronomy
Degree
MPhil
Study Level
Masters
Study Mode
On Campus
The course encompasses several different educational and societal objectives:
Societal demand for multi-domain expertise to tackle the challenges posed by observing and modelling complex systems;
The need to train postgraduate students with high levels of multidisciplinary fluency and team working skills; and,
A demand for highly trained research scientists able to drive data analysis on feature-rich sets of data from diverse sources.
The course has four primary objectives for the training it will provide students:
To develop students’ expertise in the techniques used to study planets, from the Earth’s deepest past to the solar system planets and on to exoplanets;
To give students a working knowledge of the structure of life, its essential physical-chemical requirements, and its impacts on planetary environments;
To ensure students get essential practical experience in running a research project in a team; and,
To build students’ capacity in modern data handling techniques and convey an awareness of the wide range of academic and industrial applications of these skills.
Applicants for this course should have achieved a UK Good II.i Honours Degree. If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Students will need to be familiar with matrix algebra, calculus, statistics, and to be able to work with and solve differential equations. Prior coding experience is essential (of at least 40 hours or equivalent).
16 May 2024
10 Months
Oct
Candidates are required to submit references or letter(s) of recommendation for acceptance
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
MPhil in Planetary Science and Life in the Universe
University of Cambridge, Cambridge, United Kingdom
10 monthsProgram duration
51,047 GBPTuition Fee/year
16 May, 2024Application Deadline
YesScholarships
Program overview
Main Subject
Astronomy
Degree
MPhil
Study Level
Masters
Study Mode
On Campus
- Societal demand for multi-domain expertise to tackle the challenges posed by observing and modelling complex systems;
- The need to train postgraduate students with high levels of multidisciplinary fluency and team working skills; and,
- A demand for highly trained research scientists able to drive data analysis on feature-rich sets of data from diverse sources.
The course has four primary objectives for the training it will provide students:Program overview
Main Subject
Astronomy
Degree
MPhil
Study Level
Masters
Study Mode
On Campus
- Societal demand for multi-domain expertise to tackle the challenges posed by observing and modelling complex systems;
- The need to train postgraduate students with high levels of multidisciplinary fluency and team working skills; and,
- A demand for highly trained research scientists able to drive data analysis on feature-rich sets of data from diverse sources.
The course has four primary objectives for the training it will provide students:Admission requirements
Exam Scores
Important Dates
Application
If your degree is not from the UK, please check International Qualifications to find the equivalent in your country.
Students will need to be familiar with matrix algebra, calculus, statistics, and to be able to work with and solve differential equations. Prior coding experience is essential (of at least 40 hours or equivalent).
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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