Applied Data Science, MSc 12 months Postgraduate Program By Swansea University |Top Universities
Program Duration

12 monthsProgram duration

Tuitionfee

21,950 GBPTuition Fee/year

Application Deadline

17 Jul, 2024Application Deadline

Scholarship

YesScholarships

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc in Applied Data Science is designed to provide appropriate training to students with a non-specialist background to enable them to enhance their future opportunities and play a key role in digital economy.
The programme will educate students to work with, visualise and understand data, encourage statistical thinking and develop data-driving decision-making. In addition, the programme provides the necessary foundation in Mathematics, Statistics and basic programming skills that are key to a systemic understanding of the complexity of data and its analysis. It also provides key skills in several topics in Computer Science, such as Data Visualisation and Machine Learning. This programme is aimed at students who have a degree in any non-highly numerate subject, but who are interested in learning essential data science methods with various applications.
Please note, Applied Data Science, MSc, is appropriate for those who do not have an undergraduate degree in the Mathematics field (or equivalent).  If you have an undergraduate degree in Computer Science (or equivalent) and wish to pursue a data science route within your Masters, please see Data Science, MSc.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc in Applied Data Science is designed to provide appropriate training to students with a non-specialist background to enable them to enhance their future opportunities and play a key role in digital economy.
The programme will educate students to work with, visualise and understand data, encourage statistical thinking and develop data-driving decision-making. In addition, the programme provides the necessary foundation in Mathematics, Statistics and basic programming skills that are key to a systemic understanding of the complexity of data and its analysis. It also provides key skills in several topics in Computer Science, such as Data Visualisation and Machine Learning. This programme is aimed at students who have a degree in any non-highly numerate subject, but who are interested in learning essential data science methods with various applications.
Please note, Applied Data Science, MSc, is appropriate for those who do not have an undergraduate degree in the Mathematics field (or equivalent).  If you have an undergraduate degree in Computer Science (or equivalent) and wish to pursue a data science route within your Masters, please see Data Science, MSc.

Admission requirements

Undergraduate

169+
64+
6+
79+
A UK second class honours degree or equivalent in ANY degree that doesn’t include a strong mathematical or data science component, together with a GCSE in Mathematics at grade B (or equivalent). Applications will be considered from other candidates on case-by-case basis.
 IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.
17 Jul 2024
1 Year
Sep

Tuition fee and scholarships

Domestic Students

10,150 GBP
-

International Students

21,950 GBP
-

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:
opportunities

Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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Apply via the university’s online application system here or browse the postgraduate prospectus here.


You can stay connected with Swansea University on Facebook, Twitter and YouTube.

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