Data Visualisation is an increasingly important part of data science. It aims to bridge the gap between the human and data. It supports human perception and cognition to make sense of data analytics outputs.
We created the PGDip, PGCert, MSc Data Science with Specialisation in Visualisation in collaboration with a number of high profile industry leaders. It aims to address the skills shortage in data analytics.
Our master's in data science brings together students and industry practitioners to develop and translate new technologies into industry practice.
You'll receive a comprehensive grounding in the 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:
- cloud computing
- Bayesian statistics
- machine learning
You'll benefit from our substantial expertise in data science. We focus on a wide range of application areas, including:
- smart cities
This data science course is part of the following suite:
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Given the changing nature of the COVID-19 pandemic, the commitments outlined are subject to guidelines that may be in place from time to time.
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See our terms and conditions and student complaints information
Find out about the different qualification options for this course.
MSc, PGDip, PGCert
An MSc is a taught master’s degree. It usually involves the study of a science-related subject. It typically includes:
- subject-specific taught modules
- a dissertation or research project of approximately 15,000 – 18,000 words
You'll usually study an MSc full time over 12 months.
A Master of Science is awarded for the successful completion of 120 credits of taught modules and a 60-credit dissertation or research project.
A PGDip is awarded if you successfully complete all of the taught modules (120 credits).
A PGCert is awarded if you successfully complete half of the taught modules (60 credits).
What you'll learn
The MSc data science 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'll 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.
This MSc forms part of the following suite of data science courses:
- Data Science MSc, PGDip, PGCert
- Data Science (with specialisation in Artificial Intelligence)
- Data Science (with specialisation in Statistics) MSc, PGDip, PGCert
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
Module information is intended to provide an example of what you will study.
Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.
Optional modules availability
Some course have optional modules. Student demand for optional modules may affect availability.
To find out more please see our terms and conditions.
|Project and Dissertation in Data Science||80|
|Diploma Project and Dissertation in Data Science||20|
How you'll learn
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:
- align your assessed work with the priorities of your job role
- carry out your individual project in your place of work (as long as the supervisory processes in place meet University standards)
You'll be assessed through a combination of:
- Computer assessment
- Oral examination
- Oral presentation
- Practical lab report
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:
- develop and deepen your knowledge and skills
- work in a research or development team
You can develop your project:
- at the University under an academic supervisor
- by securing an industrial placement working with your current employer
You'll have one-to-one supervision from an experienced member of staff, supported with supervision from industry partners as required.
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.
Your teaching and learning is also supported by Canvas. Canvas is a Virtual Learning Environment. You'll use Canvas to submit your assignments and access your:
Throughout your studies, you’ll have access to support from:
- our University Student Services Team
You'll also be assigned an academic member of staff. They will be your personal tutor throughout your time with us. They can help with academic and personal issues.
We're home to the UK’s National Innovation Centre for Data (NICD). We're 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.
Dr Matthew Forshaw is the Degree Programme Director for the Data Science suite of postgraduate programmes. He is also the National Skills Lead for The Alan Turing Institute, the UK's national institute for data science and AI research.
Quality and ranking
All professional accreditations are reviewed regularly by their professional body
From 1 January 2020 there is an update to the way professional qualifications are recognised by countries outside of the UK
The School of Computing is based in the £58million Urban Sciences Building, a flagship development located on the £350m Newcastle Helix regeneration site in the heart of Newcastle. It brings together:
- the public sector
- business and industry
Fees and funding
Tuition fees for 2021 entry (per year)
If your studies last longer than one year, your tuition fee may increase in line with inflation.
For courses commencing from September 2021 and beyond, EU, other EEA and Swiss nationals will no longer be eligible for home fees or Student Finance England support.
If you are from the EU you will pay international tuition fees.
What you're paying for
Tuition fees include the costs of:
- tuition (or supervision)
- library access
Some of our degrees involve additional costs which are not covered by your tuition fees.
Find out more about:
- additional costs
- living costs
- tuition fees, including how to pay them and available discounts
If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.
For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.
Search for funding
Find funding available for your course
The entrance requirements below apply to 2021 entry.
Qualifications from outside the UK
English Language requirements
How to apply
Using the application portal
The applicant portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.
You can choose to start your application, save your details and come back to complete it later.
If you’re ready, you can select Apply Online and you’ll be taken directly to the applicant portal.
Alternatively you can find out more about applying on our applications and offers pages.
Applications for 2022/23
You'll be able to apply for 2022/23 entry from September 2021
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You'll also have the opportunity to speak to academic staff and find out more about the courses you're interested in.
We regularly travel overseas to meet with students interested in studying at Newcastle University.
We also hold various online and virtual events.
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