Enter OTP
The MSc Data Science at Heriot-Watt University in Edinburgh delivers a balance of theoretical knowledge and practical skills for managing and analyzing large, complex datasets.
Students benefit from state-of-the-art facilities such as the National Robotarium and VR labs, enhancing their exposure to AI and robotics technologies.
The program offers September and January intakes and includes a significant Masters Project that can be completed independently or with industry collaboration.
Ranking: 6th best in Scotland for Computer Science (Complete University Guide 2022); strong industry collaboration and research-led instruction. 5th in the world.
Course overview
September in-take mandatory courses: 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
September in-take optional courses: Biologically Inspired Computation, Computer Network Security, Industrial Programming, Software Engineering Foundations, Databases and Information Systems, Introduction to Natural Language Processing, Advanced Software Engineering, Digital and Knowledge Economy, Data Engineering Pipelines, Distributed & Parallel Technologies
September in-take mandatory courses: Big Data Management, Data Visualisation and Analytics, Research Methods and Project Planning, Data Mining and Machine Learning, Statistical Modelling and Analysis, Masters Project and Dissertation
September in-take optional courses: Advanced Software Engineering, Digital and Knowledge Economy, Data Engineering Pipelines, Distributed & Parallel Technologies, Biologically Inspired Computation, Computer Network Security, Software Engineering Foundations, Industrial Programming, Introduction to Natural Language Processing
Industry collaboration opportunities for project and dissertation work
State-of-the-art computing and analytics labs
Guest lectures, seminars, and career development sessions
Access to Heriot-Watt’s global campuses and Go Global student mobility program
Support for external collaborations and industry-driven research projects
Networking events with data science and AI professionals
Research-informed teaching with access to cutting-edge projects
Graduates secure roles in finance, healthcare, technology, and government, supported by strong industry partnerships and practical training
Skills in data mining, machine learning, and big data management offer a competitive edge in the job market
PhD opportunities in Data Science, Artificial Intelligence, Robotics, or related fields
Access to specialised postgraduate programs in AI, Machine Learning, or Big Data Engineering
TOEFL iBT: 79 (including reading 18, listening 17, speaking 20, and writing 21)IELTS: 6.0 with no score lower than 5.5Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Scholarships availableTwo Intakes: September and JanuaryAdmission 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. Data ScientistMachine Learning EngineerData AnalystBusiness Intelligence AnalystData EngineerSoftware DeveloperResearch ScientistAI SpecialistData Visualisation SpecialistNetwork Security Analyst
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Heriot Watt University Edinburgh
