Due to the specialist nature of this course, applicants are required to pass a proficiency quiz in Python before submitting an application for the course. To find out more please contact us at firstname.lastname@example.org or call (0)1245 686707.
You will also need:
- first or second class honours degree in a scientific discipline
- at least A level Maths or Statistics (or equivalent)
- intermediate-level knowledge of Python (tested via online pre-qualifier quiz)
- if English is not your first language, you will be expected to demonstrate a certificated list of proficiency of at least IELTS 6.5 or above.
Months of entry
Advance your career in data science and machine learning with our Masters degree in Data Science. Study part-time by distance learning, and spend two weeks in Cambridge at a hackathon-style bootcamp. Develop the skills you need to analyse complex data, and support business decision-making.
Our MSc Data Science will give you the skills to develop and apply advanced data science tools and techniques. You'll learn to process large, complex datasets, and extract valuable insights to inform business decision-making.
Data science, especially when paired with artificial intelligence, promises to provide the tools to enhance technology, business models and decision-making across a range of sectors, from industrial automation, manufacturing, transport, banking and cyber security to health and social care.
By working on real-world datasets and industry-simulated projects, you'll become proficient in advanced data science tools and techniques, such as data engineering and deep learning.
Our Masters degree has been designed with, and is co-delivered by, Cambridge Spark – leaders in personalised AI-driven training in data science and software engineering. You'll study online via digital learning management systems, and attend a two-week hackathon-style bootcamp on our campus in Cambridge.
Fees and funding
Qualification, course duration and attendance options
- flexible24 months
- Distance learningis available for this qualification
Course contact details
- ARU Applicant Enquiries Team