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Data Science (Two years) at Heriot-Watt University - UCAS

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Course summary

The MSc Data Science (2 years) programme equips you with essential technical skills across Programming, Data Engineering, Statistics, Machine Learning, and Data Visualisation—enabling you to extract and communicate meaningful insights from complex datasets. Specifically designed for graduates looking to transition into a career in Data Science from a background outside computing, this two-year pathway provides a rare opportunity to gain the knowledge and capabilities required to succeed in this advanced and evolving domain. Whether your previous studies or experience lie in science, technology, engineering, mathematics, biological sciences, or the social sciences, the programme equips you with the necessary foundations and technical expertise to thrive in data-driven roles. The first year of the programme focuses on building core competencies in Software Engineering and Information Systems, providing a strong technical base. In the second year, you’ll develop advanced skills in storing, processing, and modelling large datasets using cutting-edge algorithms and technologies. You’ll also explore key techniques for interpreting and visualising information—transforming raw data into actionable insights. The curriculum blends theoretical foundations with hands-on practical application. You’ll learn how to design and implement data science workflows, work with real-world datasets, and apply data analysis tools in a variety of contexts. Optional modules allow you to tailor your degree to areas such as Artificial Intelligence, Cybersecurity, Data Engineering, and Software Engineering—enabling deeper specialisation aligned with your interests and career ambitions. As a research-led university, Heriot-Watt is committed to developing technically skilled professionals. Your learning experience is further enhanced through the MSc project, where you will tackle a substantial data-driven challenge. In some cases, this project may be conducted in collaboration with an external academic or industry partner, strengthening your professional readiness and offering valuable real-world exposure. You may also wish to consider our MSc Applied Data Science programme, which focuses on developing strong data literacy and analytical skills for decision-making roles—whereas the MSc Data Science is designed for those aiming to become developers, engineers, or technical specialists in data-intensive environments. 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 6th best in Scotland for Computer Science, according to The Complete University Guide 2022. 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. Accreditation The MSc Data Science (Two-Year) is accredited by the British Computer Society (BCS), meeting the academic requirements for Chartered IT Professional (CITP) status

Modules

Year 1 Mandatory September -Software Engineering Foundations -Databases and Information Systems -Knowledge Management -Mathematical Tools for Data Science Mandatory January -Advanced Software Engineering -Project Management -Sociotechnical and Soft Systems -e-Commerce Technology Year 2 Mandatory September -Data Mining and Machine Learning -Statistical Modelling and Analysis Optional September -Biologically Inspired Computation -Computer Network Security -Information Systems Methodologies -Industrial Programming -Introduction to Natural Language Processing Mandatory January -Big Data Management -Data Visualisation and Analytics -Research Methods and Project Planning Optional January -Digital and Knowledge Economy -Data Engineering Pipelines -Distributed & Parallel Technologies Mandatory May -Masters Project and Dissertation


Entry requirements

A minimum of a 2:2 honours degree or non-UK equivalent in a subject area which includes some numeracy. Programming skills would be preferable but not essential, either through your degree or a short course. 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.


Fees and funding

Tuition fees

England £12192 Year 1
Northern Ireland £12192 Year 1
Scotland £12192 Year 1
Wales £12192 Year 1
International £25480 Year 1

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

Fees are payable for each year of this degree. Fees for second year, the tuition fee is: £10,528 for UK Nationals and £19,816 for International Applicants.

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.

Data Science (Two years) at Heriot-Watt University - UCAS