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MSc Data Science
Frenchay Campus, Bristol, United Kingdom
12 monthsProgram duration
18,000 GBPTuition Fee/year
YesScholarships
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
If you're looking to specialise or upskill in this field, this master's will equip you to apply data science techniques in your current role and organisation, or to progress onto new work opportunities.
Looking at the full data science pipeline, you'll learn to understand organisational requirements and ethical conduct; design research studies; and employ data engineering skills to gather, transform and clean small and large-scale data.
Gain the skills and tools to design and implement data science projects and programmes to solve real business and societal issues.
Undertake exploratory analysis, using statistics, machine learning and predictive modelling.
Present and communicate results to stakeholders, and become adept at implementing production workflows and solutions.
You'll work on live data science projects, using data and issues from your own company (if applicable) and those of our industrial partners.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
If you're looking to specialise or upskill in this field, this master's will equip you to apply data science techniques in your current role and organisation, or to progress onto new work opportunities.
Looking at the full data science pipeline, you'll learn to understand organisational requirements and ethical conduct; design research studies; and employ data engineering skills to gather, transform and clean small and large-scale data.
Gain the skills and tools to design and implement data science projects and programmes to solve real business and societal issues.
Undertake exploratory analysis, using statistics, machine learning and predictive modelling.
Present and communicate results to stakeholders, and become adept at implementing production workflows and solutions.
You'll work on live data science projects, using data and issues from your own company (if applicable) and those of our industrial partners.
Admission requirements
Exam Scores
Important Dates
Undergraduate
We normally require an honours degree at 2:2 or equivalent in a relevant subject. Experience with quantitative methods and/or coding is highly recommended.
Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Marketing, Economics, Psychology and Social Sciences.
We can consider applicants who do not meet the normal entry requirements, but who have relevant professional experience or qualifications. In your application, you should describe in detail your professional experience and qualifications.
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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