- We normally require a second class honours degree 2:2 or above in a science-based discipline
- Entry is subject to the proposed project being acceptable
- Each application will be considered on its individual merits
If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.
Interviews, entrance tests, portfolios and auditions
Each application will be considered on its individual merits and suitably qualified candidates will be invited for interview. Successful applicants may enrol to begin their studies at the start of any of the three terms during the academic year.
Months of entry
January, September, May
Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003.
To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so-called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure.
Why study MSc Data Science by Research at Middlesex University?
The MSc by Research (Data Science) provides an opportunity for students who wish undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including business information systems, e-health, social media, cloud computing, smart homes, intelligent vehicles and ambient assisted living.
We currently have supervisors available in:
- Machine learning
- Visual analytics
- Mathematics and statistics
- Smart sensors (for ambient assisted living and smart homes)
- Numerical algorithms (especially computational geometry)
- Artificial intelligence
- Ethics of technology
- Business information systems and business informatics
- Robust software/system development
- Operations management
- Enterprise and economic development
Fees and funding
Qualification and course duration
MSc by research
Course contact details