| 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 MSc gives you the knowledge, experience, and expertise to solve real-world problems and realise data-driven insights for organisations.
Data Science is revolutionising every area of science, engineering and commerce. It offers the potential for huge societal and economic benefits. The Data Science 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 practise.
What you'll learn
Through this course you'll receive a comprehensive grounding in theory and application of data science. You'll develop the multi-disciplinary combination of skills in statistics and computer science. You'll also gain the ability to apply these skills to real problems in a given application area.
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, including:
Project work
You will undertake individual and group-based projects. You will work in collaboration with regional and national industry and charitable organisations.
Your five-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 state-of-the-art 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. Pairs of modules will be taught concurrently over four weeks of lectures and lab classes. 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:
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'll be taught on the Newcastle Helix campus which brings together:
You will benefit from state-of-the-art teaching facilities within the newly-opened £58m Urban Sciences Building, including a purpose-built Decision Theatre and 3D visualisation facility.
See full details on How to Apply in the Programme information online.
Academic entry requirements
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.
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