Overview
Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?
Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.
Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.
You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.
You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.
This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Python Programming
- Data Modelling and Consultancy
- Deep Learning
- Data Science Project
Bayesian Machine Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
There is no fixed application deadline for home students, but it is strongly recommended you apply no later than three months before your intended start date.
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Canterbury, United Kingdom
Disciplines
Data Science & Big Data View 407 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A 2:2, 2:1 or First Class degree.
- All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Additional Details
fees tbc
Living costs
Canterbury
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility