Overview
The Data Science MSc at Heriot-Watt University provides students with the technical expertise required to manage, analyse, and communicate insights from vast and complex datasets. This programme is designed for graduates with a background in computing who wish to master the theoretical foundations and practical applications of modern data analytics. By blending rigorous academic study with hands-on experience, the curriculum ensures that students become invaluable assets in the evolving digital economy.
Why Data Science at Heriot-Watt University?
Heriot-Watt University is a leader in technical education, ranking 1st in Scotland and 6th in the UK according to the Daily Mail University League Table 2025. The programme is accredited by the British Computer Society, meeting the academic requirements for Chartered IT Professional status. Students benefit from the university's five decades of expertise in computer science and its role as a hub for global research.
Learning takes place in state-of-the-art facilities, including the National Robotarium and the GRID, which houses the university’s first virtual reality labs. These environments allow students to work with authentic datasets and advanced AI models. The curriculum is continuously informed by cutting-edge research in robotics, AI, and environmental sustainability, ensuring students remain at the forefront of technological innovation.
Tuition Fee Breakdown
- International fee: GBP 26296 per year
- National fee: GBP 12584 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a balance of mandatory theoretical modules and specialised options. Modules may include:
- Data Mining and Machine Learning
- Statistical Modelling and Analysis
- Big Data Management
- Data Visualisation and Analytics
- Research Methods and Project Planning
- Masters Project and Dissertation
- Biologically Inspired Computation
- Computer Network Security
- Databases and Information Systems
Careers with Data Science
Graduates are prepared for high-level roles in data science, data engineering, and business intelligence across a wide range of sectors. The programme has been meticulously developed in collaboration with industry experts to ensure that the skills taught align with the specific requirements of modern employers. This industry-driven approach gives graduates a competitive edge when entering the professional job market.
The university boasts a strong track record for employability, with nearly 90% of graduates entering employment or further education shortly after finishing their studies. By mastering essential tools such as Python and SQL, students are equipped to tackle real-world challenges in industries ranging from healthcare and finance to environmental science and robotics.
Accreditation
Our MSc Data Science programme is accredited by the British Computer Society (BCS).
Programme Structure
Mandatory September- Data Mining and Machine Learning
- Statistical Modelling and Analysis
- Biologically Inspired Computation
- Computer Network Security
- Industrial Programming
- Software Engineering Foundations
- Databases and Information Systems
- Introduction to Natural Language Processing
- Big Data Management
- Data Visualisation and Analytics
- Research Methods and Project Planning
- Advanced Software Engineering
- Digital and Knowledge Economy
- Data Engineering Pipelines
- Distributed & Parallel Technologies
- Masters Project and Dissertation
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
International students should apply at least 6 weeks before 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
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Data Science & Big Data View 420 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
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
Admission requires a second class honours degree or non-UK equivalent that includes substantial components of computer science and programming.
Applicants that do not meet the computer science or programming requirements for the one year programme may be eligible for entry onto the 2 year programme.
Please note: entry onto the 2 year programme is only available for the September intake.
Tuition Fees
-
International Applies to you
Applies to youNon-residents26296 GBP / year≈ 26296 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12584 GBP / year≈ 12584 GBP / year
Additional Details
For part-time, the tuition fee is: £6,096 for UK Nationals and £12,740 for International Applicants.
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Postgraduate scholarships and bursaries
We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.
Future Shapers Scholarship
The Future Shapers scholarship at Heriot-Watt offers a range of high value scholarships to our most talented postgraduate candidates. This scholarship is open for UK applicants, who want to use research to create solutions to solve major global challenges. Successful candidates will receive up to 100% of their tuition fee.
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