Course summary
This masters has been designed to offer those with a familiarity in maths, science or computing an opportunity to develop a key set of skills for future employment in a way that builds on your existing knowledge and skill base. Upon completing the course, you will be ready to fulfil the requirements of a Data Scientist. You will focus on the intertwining areas of machine learning, visual analytics and data governance, and be able to strike a balance between theoretical underpinnings, practical hands-on experience, and acquisition of industrially-relevant languages and packages. You will also be exposed to cutting-edge contemporary research activity within data science that will equip you with the potential to pursue a research-based career, and, in particular, further PhD study at Middlesex.
Modules
Modelling, Regression and Machine Learning (30 credits) - Compulsory Visual Data Analysis (30 credits) - Compulsory Applied Data Analytics: Tools, Practical Big Data Handling, Cloud Distribution (30 credits) - Compulsory Legal, Ethical and Security Aspects of Data Management (30 credits) - Compulsory Individual Data Science Project (60 credits) - Compulsory
Assessment method
Your technical skills will be assessed throughout the year in a series of formative and summative coursework. Every week, you will be given lab tasks designed to match the content covered in the lecture. These tasks are expected to be completed during the lab and you will receive timely feedback assessment.
Entry requirements
A 2:2 honours degree in a mathematically or computationally literate degree area. Applicants with degrees in other fields who can demonstrate relevant industrial experience may also be considered. Entry requirements listed are accurate at the time of publishing and vary between programmes. Please check your chosen course page for specific entry requirements. Depending on your chosen course, we also consider a combination of qualifications. The latest entry requirements can be found on the course page at: https://www.mdx.ac.uk/courses/postgraduate/data-science-msc We have a personalised admissions approach in which we make fair, but aspirational offers to our applicants. We feel it’s important that you continue to aim high and achieve great results. If you don’t quite make the grades you hoped to, we’ll look at more than your qualifications when making our final decision. We’ll take into consideration any barriers you may have faced in your learning, especially with potential disruption due to the coronavirus, your achievements in other areas and your personal statement. At Middlesex, we’ll always aim to be as flexible as possible. We pride ourselves on how we recognise potential in our applicants, and support them to succeed in the future.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6.5 | With at least 6.0 in each component |
| TOEFL (iBT) | 87 | With at least 21 in Listening & writing |
| PTE Academic | 58 | With at least 51 in all components |
Fees and funding
Tuition fees
| Channel Islands | £70* | Credit |
| EU | £101* | Credit |
| England | £101* | Credit |
| Northern Ireland | £101* | Credit |
| Scotland | £101* | Credit |
| Wales | £101* | Credit |
| International | £101* | Credit |
*This is a provisional fee and subject to change.
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
At Middlesex, we have a range of funding and loan options available to ensure you are able to attend university, whatever your financial background. Tuition fees vary for UK, EU and International students. More information about fees for the course you are interested in studying can be found at: https://www.mdx.ac.uk/courses/postgraduate/data-science-msc
Provider information
Middlesex University
Hendon Campus
The Burroughs
Barnet
NW4 4BT