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MSc Applied Data Science
Heriot-Watt University — Edinburgh, United Kingdom
MSc Applied Data Science is a postgraduate Data Science & AI course at Heriot-Watt University, Edinburgh, United Kingdom. It takes 1 year, costs £21,072 per year and starts in September.
Postgraduate · 1 year · Full-time · Data Science & AI · £21,072 per year
Intakes: September
This programme transforms graduates from diverse backgrounds into proficient data scientists. Students gain expertise in managing complex datasets, including data modelling, storing, processing and visualising data. The curriculum emphasises practical tools including Python, R and SQL and is informed by active academics in data science and AI. It is not intended for those with degrees in mathematics or computer science. Entry requirements (from the course page): Minimum 2:2 honours degree in any subject; Mathematics at A Level grade C or above (or international equivalent); Not intended for those with degrees in mathematics or computer science. English language requirement: IELTS 6.0 overall with no component below 5.5 (or accepted equivalent). International full-time tuition fee: £21,072 per year (International full-time fee per year, 2027 intake, as published).
Modules
- Practical Data Science
- Software Fundamentals for Data Science
- Data Storytelling
- Data Mining
- Applied Data Science Dissertation
- Data Assimilation
- Artificial Intelligence
- Databases and Information Systems
- Probability and Statistics
- Modelling and Tools
Frequently asked questions
How long is MSc Applied Data Science at Heriot-Watt University?
MSc Applied Data Science takes 1 year (Full-time).
How much does MSc Applied Data Science at Heriot-Watt University cost?
The listed tuition fee is £21,072 per year. Fees can change, so confirm the current amount before you apply.
When does MSc Applied Data Science start?
Intakes: September.
What level is MSc Applied Data Science?
It is a postgraduate course in Data Science & AI.
What will I study on MSc Applied Data Science?
Modules include Practical Data Science, Software Fundamentals for Data Science, Data Storytelling, Data Mining, Applied Data Science Dissertation and Data Assimilation.