Overview
The Data Intensive Science course from the University of Cambridge is a response to the increasing demand for skilled research scientists capable of designing and implementing robust data analysis pipelines.
This programme provides students with a comprehensive understanding of data science techniques, preparing them for careers in various sectors, including science, health, finance, and e-commerce. The University boasts exceptional facilities and a strong network of partnerships, enhancing the learning experience and providing students with opportunities to engage in cutting-edge research.
By the end of this course, students will have:
- thorough knowledge of statistical analysis including its application to research and how it underpins modern machine learning methods;
- comprehensive understanding of data science and machine learning techniques and packages and their application to several practical research domains;
- developed advanced skills in computer programming utilising modern software development best practices created in accordance with Open Science standards;
- demonstrated abilities in the critical evaluation of data science tools and methodologies for their real-world application to scientific research problems.
Programme Structure
Curriculum:
- The taught element comprises two module types; major modules which cover all essential aspects required for scientific data analysis, and minor modules which demonstrate the application of these data science skills to real-world scientific research areas. Candidates will be required to take seven modules in total for assessment comprising 5 major and 2 minor modules.
- The data analysis project will focus on investigating the reproducibility of a key scientific data analysis in the literature. Students will select their project from a pre-approved list in Michaelmas term and will work on it over Lent and Easter terms with submission at the end of the course. The projects will be designed to be open-ended so students can improve or extend what is already published in the literature.
Key information
Duration
- Full-time
- 10 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Data Science & Big Data View 406 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
- Applicant’s degree should be in science or a technology discipline, and applicants are expected to demonstrate abilities at an adequate level in mathematics especially in the domain of linear algebra, statistics and probability. Candidates should also demonstrate sufficient training to engage with the scientific content of at least 2 minor modules.
Tuition Fees
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International Applies to you
Applies to youNon-residents41064 GBP / year≈ 41064 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15672 GBP / year≈ 15672 GBP / year
Living costs
Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Intensive Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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