Overview
Why Data Science at Heriot-Watt University?Heriot-Watt University stands out as the 6th best institution in Scotland for Computer Science, as per The Complete University Guide 2022. The university's commitment to industry-driven employability ensures that the curriculum is aligned with the needs of employers, providing students with a competitive advantage in the job market. The programme is designed to foster mastery of essential tools such as Python, R, and SQL, which are crucial for data scientists today. Furthermore, the revamped course structure enhances synergy between various subject areas, including statistics, machine learning, and big data engineering, allowing students to effectively tackle complex data challenges.
Tuition Fee BreakdownThe tuition fees for the MSc Data Science programme at Heriot-Watt University are as follows:
- Domestic Students: £12,192 per year
- International Students: £25,480 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe MSc Data Science programme is structured over two years, with a blend of mandatory and optional modules:
- Year 1:
- Software Engineering Foundations
- Databases and Information Systems
- Knowledge Management
- Mathematical Tools for Data Science
- Advanced Software Engineering
- Project Management
- Sociotechnical and Soft Systems
- e-Commerce Technology
- Year 2:
- Data Mining and Machine Learning
- Statistical Modelling and Analysis
- Big Data Management
- Data Visualisation and Analytics
- Masters Project and Dissertation
Optional modules include areas such as Biologically Inspired Computation, Computer Network Security, and Introduction to Natural Language Processing, allowing students to tailor their studies to their interests.
Industry DemandThe demand for skilled data scientists continues to rise across various sectors, including healthcare, finance, and technology. The MSc Data Science programme equips graduates with the necessary skills to meet this demand, preparing them for diverse roles in a rapidly evolving job market.
Guaranteed Work ExperienceThe programme includes a substantial project component, where students may collaborate with industry partners, providing valuable real-world experience and enhancing their employability upon graduation.
Careers with Data ScienceGraduates of the MSc Data Science programme can pursue various career paths, including:
- Data Scientist: Analysing and interpreting complex datasets to inform business decisions.
- Data Engineer: Designing and maintaining data infrastructure and pipelines.
- Machine Learning Engineer: Creating and refining machine learning models.
- Business Analyst: Leveraging data to drive improvements and solve business challenges.
- Data Journalist: Uncovering stories through data analysis and visualisation.
- Research Scientist: Conducting research using data science methodologies.
- Quantitative Analyst: Developing mathematical models to optimise business practices.
The comprehensive training provided by Heriot-Watt University ensures that graduates are well-prepared to excel in these roles, contributing to their respective fields with confidence and expertise.
Accreditation
Our MSc Data Science (2 year) programme is accredited by the British Computer Society (BCS).
Programme Structure
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
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
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Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Data Science & Big Data View 416 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
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Other requirements
General 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.
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 the second year, the tuition fee is: £10,528 for UK Nationals and £19,816 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.
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (2 years).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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