Newcastle University, the United Kingdom
Newcastle University| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc, PG Cert, PG Dip | Full-time, Part-time | 8 - 24 months | September | find out | find out |
Our Data Science (with Specialisation in Visualization) MSc gives you the knowledge, experience and expertise to solve real-world problems and realise data-driven insights for organisations.
Recognition of professional qualifications outside of the UK
From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK.
Read our detailed explanation.
About this course
Data Visualisation is an increasingly important part of data science and aims to bridge the gap between the human and data, by supporting human perception and cognition to make sense of data analytics outputs.
The Data Science (with Specialisation in Visualisation) MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. The course brings together students and industry practitioners in a setting which new technologies are developed and translated into industry practice.
This MSc forms part of the following suite of data science courses:
What you'll learn
Through this course you'll receive a comprehensive grounding in theory and application of data science. You'll also gain the ability to apply these skills to real problems in a given application area.
Through project work, you'll experience the full lifecycle from design of interactive visualization to experimental evaluation of an advanced visualization approach.
Topics covered in the course include:
Your development
We have substantial expertise in data science, focusing on a wide range of application areas. This includes:
We are home to the UK’s National Innovation Centre for Data (NICD). We are also a partner of the Alan Turing Institute, the national institute for data science and artificial intelligence. All our academic staff involved in teaching data science modules have international reputations for their contributions to the field. Many of them have extensive experience as practitioners in industry as well as work in academia.
You will be encouraged to play a full part in the life of the School of Computing, including:
Project work
We'll provide you with the opportunity to undertake a project with industry, working alongside organisations and collaborating with the National Innovation Centre for Data (NICD).
Throughout the degree you'll undertake individual and group-based projects.
Your six-month individual project gives you an opportunity to:
You can develop your project:
You will have one-to-one supervision from an experienced member of staff, supported with supervision from industry partners as required.
Delivery
The School of Computing and School of Mathematics, Statistics and Physics deliver the course. The course starts in mid-September. You will be taught in modern facilities in the newly-opened Urban Sciences Building. The course has three phases.
In phase one you’ll be introduced to core knowledge and skills in statistics and computer science. These modules are taught as an intensive block, with two modules taught concurrently for full-time students. Teaching is timetabled to accommodate participants from industry, working alongside full-time employment.
Phase two will present further advanced technical modules. You will be introduced to the aspects that underlie all areas of data science practice including:
This phase also includes a group project in collaboration with industry. You'll develop and evaluate a data science solution to a complex, real-world problem.
Phase three is an individual research and development project. You'll receive personal supervision in one of the School’s research labs in collaboration with industry or with your current employer.
You'll be assessed by a portfolio of practical work, accompanied by an oral interview. There will be no written examinations as part of the Data Science MSc.
If you’re a part time student, you have the flexibility to study over two years. The part time version of the course encourages participation of practitioners from industry. As a part time student you can:
Facilities
You will be part of the School of Computing, based in the Urban Sciences Building on our Newcastle Helix campus area of campus.
You'll benefit from the great facilities in our brand new £58m building. These include:
The building and its surrounding area is becoming a living laboratory, underpinning research to make urban centres more sustainable for future generations. Research at Newcastle Helix focusses on:
For full How to Apply details, please see Programme information online.
See Fees and Funding tab in the Programme information in our online Prospectus.
A 2:1 BSc honours degree, or international equivalent, in:
We have a strong track record of admitting applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
English Language Requirements
Direct Entry: IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills). If you have lower English Language scores, you may be accepted onto a Pre-sessional English course.
Below are some suggested courses at other providers that you may also be interested in:
Graduate Certificate in Industrial Automation Engineering Graduate Certificate
Engineering Institute of Technology
Find out more
If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:
Graduate Diploma of Engineering (Electrical Systems)
Engineering Institute of Technology
Find out more
There are 516 other courses listed from Newcastle University. A selection of these are displayed below:
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