MSc Data Science, Technology, and Innovation
Start your career as an in-demand data scientist with this fully online master’s from Edinburgh University. Learn flexibly at your own pace and develop the skills needed to thrive as a data specialist.
Level
Masters DegreeDuration
1 Year Full-timeLanguage
EnglishTotal Tuition Fee
£19,100
MSc Data Science, Technology, and Innovation
Masters Degree (Postgraduate)
1 Year Full-time
Total tuition fee
£19,100
Gain the skills to succeed as a data scientist
There is a growing demand for high-value data specialists across many disciplines and industries. This online MSc has been carefully designed to help you fill this demand and enhance your career path with additional skills in data science.
You’ll develop a strong foundation of knowledge in specific data science disciplines and gain practical skills to apply data research in the real world.
From enhancing your technological skills to advancing your ability to engage with data and data intensive systems, you’ll acquire specialist knowledge you can use in the workplace.
Earn your master’s online with The University of Edinburgh
This online master’s allows you to learn at your own pace, in your own time.
The full programme is at a master’s level however, you can also choose to study at a postgraduate diploma, certificate, or postgraduate professional development (PPD) level.
What skills will you learn?
- Data science
- Data
- Big data
- Data research
To join this programme you should have:
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A UK 2:1 honours degree, or its international equivalent. We will also consider a UK 2:2 honours degree, or its international equivalent, in Computer Science, Informatics, Software Engineering, Computational Physics, Mathematical Physics, Mathematics, Statistics, Computational Chemistry, Chemistry with Computer Science, Physics with Computer Science, or Computational Biology.
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A basic understanding of computer programming concepts. If your undergraduate degree discipline is not listed above, you must highlight on your application any relevant knowledge/experience.
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If you don’t have the above qualifications, relevant work experience will also be considered. If you plan to apply on this basis, please include a detailed CV and outline how your professional background demonstrates your ability to undertake the programme in the Relevant Knowledge/Training section of your application.
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You should also have SQA Higher or GCE A level Mathematics, or equivalent, and ideally some mathematics classes taken at undergraduate level. We also recommend that students have some experience of computer programming (e.g. C, Fortran, Java, Python, R).
International students must demonstrate a level of English language competency at a level that will enable you to succeed in your studies. We accept the following English language qualifications at the grades specified:
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IELTS Academic: total 6.5 with at least 6.0 in each component.
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TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
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C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 169 in each component.
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Trinity ISE: ISE II with distinctions in all four components.
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PTE Academic: total 62 with at least 59 in each component.
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Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
The structure of this online programme helps cover different career stages. You’ll gain an understanding of modern data-intensive approaches and cover topics such as:
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Practical introduction to data science
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Data security
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Applied machine learning
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Data visualisation
The University of Edinburgh
Founded in 1583, the University of Edinburgh is one of the world's top universities and is globally recognised for research, innovation and high-quality teaching.