Course summary
The MSc Data Science is a 1-year programme that equips you with the expertise to extract, analyse, and communicate meaningful insights from vast and complex datasets—making you an invaluable asset across a wide range of industries. Designed for those with a background in computing or related disciplines, the programme blends rigorous theoretical foundations with practical, hands-on skills essential for managing and analysing large-scale data. Data Science is a dynamic, multi-disciplinary field that draws upon programming, data engineering, statistics, machine learning, and data visualisation. This programme offers comprehensive training across all these domains, enabling you to model, store, and process substantial datasets using advanced algorithms and technologies. You will also explore cutting-edge tools and methods for visualising and interpreting information—turning raw data into actionable knowledge. A diverse range of optional modules allows you to tailor your learning to suit your interests and career goals, with opportunities to specialise in areas such as artificial intelligence, machine learning, cybersecurity, statistical modelling, or software engineering. The skills developed throughout the programme are highly transferable and applicable across both industrial and scientific sectors. Your learning culminates in an MSc project, giving you the opportunity to apply your expertise to a significant, real-world data challenge. In many cases, this project can be conducted in collaboration with an external academic or industry partner, enhancing your professional experience and industry readiness. Enhancements for Your Success At Heriot-Watt University, our MSc in Data Science programme empowers you with the most cutting-edge knowledge and practical skills required for a thriving career in data science. Here's what sets us apart: -Excellence in Rankings: We take pride in our ranking as the 1st in Scotland and 6th in the UK for Artificial Intelligence, according to Daily Mail University League Table 2025 -Industry-Driven Employability: To ensure your success, we've actively collaborated with industry experts to understand precisely what employers are seeking in data scientists. We've meticulously integrated these insights into our programme, giving you a competitive edge during job interviews and setting you up for success from day one. -Mastery of Essential Tools: In today's competitive job market, proficiency in key software tools like Python, R, SQL, and data visualisation is essential for data scientists. Our programme will equip you with mastery of these indispensable tools. -Streamlined Synergy: Our revamped course structure promotes greater synergy between different subject areas like statistics, machine learning, and big data engineering. This holistic understanding will empower you to tackle complex data challenges with ease, enhancing your problem-solving capabilities. Global Research Institutes (GRIs) Heriot-Watt University is home to four world-leading Global Research Institutes (GRIs), designed to foster interdisciplinary collaboration and tackle some of the most pressing global challenges of our time. These dynamic hubs bring together leading researchers, industry partners, policymakers, and stakeholders from across academia, government, and business—creating vibrant ecosystems that drive innovation, inform policy, and deliver real-world impact. The GRIs are closely integrated with teaching and learning, ensuring that students benefit directly from cutting-edge research and develop the skills and experience needed to become future leaders in their fields. Accreditation The MSc Data Science is accredited by the British Computer Society (BCS), meeting the academic requirements for Chartered IT Professional (CITP) status
Modules
September Intake Year 1 Mandatory September -Data Mining and Machine Learning -Statistical Modelling and Analysis Optional September -Biologically Inspired Computation -Computer Network Security -Industrial Programming -Software Engineering Foundations -Databases and Information Systems -Introduction to Natural Language Processing Mandatory January -Big Data Management -Data Visualisation and Analytics -Research Methods and Project Planning Optional January -Advanced Software Engineering -Digital and Knowledge Economy -Data Engineering Pipelines -Distributed & Parallel Technologies Mandatory May -Masters Project and Dissertation January Intake Year 1 Mandatory January -Big Data Management -Data Visualisation and Analytics Optional January -Advanced Software Engineering -Digital and Knowledge Economy -Data Engineering Pipelines -Distributed & Parallel Technologies Mandatory September -Research Methods and Project Planning -Data Mining and Machine Learning -Statistical Modelling and Analysis Optional September -Biologically Inspired Computation -Computer Network Security -Software Engineering Foundations -Industrial Programming -Introduction to Natural Language Processing Mandatory Second January -Masters Project and Dissertation
Assessment method
You will be assessed by coursework, exams, and your research project, and will receive support and feedback throughout the programme.
Entry 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. We welcome applications from international students and accept qualifications from around the world. Please refer to the entry requirements for your country for more details. English language requirements If your first language is not English, we'll need to see evidence of your English language ability. The minimum English language requirement for entry to this programme is IELTS 6.0 (or equivalent) with no score lower than 5.5. If you do not have IELTS 6.0, we offer a range of English language courses to help you meet the English language requirement for this programme prior to commencing your studies.
English language requirements
Applicants whose native language is not English and who have not been educated previously in the English language must provide evidence of their English language ability to ensure they can cope with the demands of a Heriot-Watt programme taught and assessed in English. Further information about the English Language tests that we currently accept as proof of English Language ability including our own English Language programmes, can be viewed on our website.
HWU English Language Requirements
https://www.hw.ac.uk/study/entry/english-language-requirements.htm
Fees and funding
Tuition fees
England | £12192 | Whole course |
Northern Ireland | £12192 | Whole course |
Scotland | £12192 | Whole course |
Wales | £12192 | Whole course |
International | £25480 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
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.
Provider information
Heriot-Watt University
Riccarton
Edinburgh
EH14 4AS