Delivery Mode
Face to Face
Course Type
Master's Degree
Duration
21 months
Strong alignment with industry demand
The programme is positioned around big data analytics, data mining, machine learning, visualisation and data security, areas highlighted as key to future business, digital media and science.
Focused technical skills for big data platforms
Teaching covers modern data science platforms and languages, and big data tools (e.g. Hadoop, Spark), preparing students for real-world data projects.
100% coursework with project-based learning
Modules such as Data Science Product Development emphasise building a data science product for a real problem, involving literature review, prototyping and user evaluation.
Curriculum designed with industry links
The university’s connections with industry and business, combined with academic research expertise, shape the curriculum to meet current and emerging employment needs.
Experienced specialist lecturers
Lecturers include quant trading, computing, and machine learning specialists with extensive industry and research backgrounds, bringing practical and research perspectives together.
Modules
Each module is assessed by an assignment or project, and credits are shown.
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Data Science Fundamentals (30 credits)
- Data Science Product Development (30 credits)
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Machine Learning and Data Analytics (30 credits)
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Technology Management for Organisations (30 credits)
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Computing Master's Project (60 credits)
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University of Sunderland
The University of Sunderland is a UK public university with over 100 years of history, known for combining academic tradition with practical, career‑focused teaching.
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Long-established UK public university
A century-long history as a recognised UK public institution gives strong credibility and stability. Students can rely on its solid academic standards and trusted reputation.
02
Strong performance in national rankings
The University of Sunderland ranks 27th in the Guardian University Guide 2026, placing it among the stronger universities in the UK. This ranking reflects good results in teaching quality, student satisfaction and graduate outcomes.
03
Career-focused, practice-based learning
Programmes are designed around real industry needs, with a clear focus on employability. Students develop practical skills and experience that support internships, job hunting and long-term career progression.
Entry Requirements
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An honours degree (2:2 or above) in computing or related non-computing discipline (i.e. mathematics, statistics, engineering); OR
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An honours degree (2:1 or above) in relevant non-computing discipline (i.e. degree with numeracy included and/or application of big data as a significant theme); OR
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Non-standard applicants with 5 years of relevant business or industry experience will be interviewed by the Hong Kong campus and considered by the University on a case-by-case basis.
MSc Data Science awarded by the University of Sunderland is operated by The University of Sunderland in Hong Kong Limited. Registered under Chapter 493, Registration Number: 252794.
It is a matter of discretion for individual employers to recognize any qualification to which this programme may lead.
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