4Sep
PostgraduateCourse 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. Introducing our new Learning Framework After working with our students to gather feedback on what they love most about our courses, we’re making some changes to how we structure and teach our programmes for the start of the 2024/25 academic year. You can find more information about how this course is affected by viewing the relevant course information sheet on our Learning Framework page: https://www.mdx.ac.uk/study/learning-framework/
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.
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
| EU | £99* | Year 1 |
| England | £70* | Credit |
| Northern Ireland | £70* | Credit |
| Scotland | £70* | Credit |
| Wales | £70* | Credit |
| International | £99* | Year 1 |
*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
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Middlesex University
Hendon Campus
The Burroughs
Barnet
NW4 4BT