University of Cambridge

Overview

The Data Intensive Science MSc program at the University of Cambridge offers an in-depth exploration of data analysis tailored for scientific research. This full-time, ten-month course emphasizes the development of robust data analysis pipelines, equipping students with essential skills in statistical methods, machine learning, and open-science programming practices.

What you'll study

• The program comprises both taught modules and a significant data analysis project.
• Students will engage with 7 modules for assessment, consisting of 5 major modules that focus on foundational methods for scientific data analysis and 2 minor modules that apply these methods to specific research contexts.
• The culminating data analysis project centers on assessing the reproducibility of existing scientific analyses, allowing students to select a project from a curated list at the start of the course.
• During the course, students will work on their projects throughout the Lent and Easter terms, with the objective of submission at the conclusion of the program.
• Projects are designed to encourage creativity and critical thinking, enabling students to enhance and refine previously published analyses.

Entry requirements

Applicants are typically expected to hold an Upper Second Class degree or its equivalent from a recognized institution. A strong background in quantitative methods or a related field is advantageous.

Career prospects

Graduates of the Data Intensive Science MSc program are well-prepared for a variety of careers in data analysis, scientific research, and technology sectors. The skills acquired during the course open opportunities in academia, industry, and governmental research organizations, where data-driven decision-making is increasingly vital.