Course summary
The MSc is for individuals in full time employment who want to develop their postgraduate skills in data analytics, taking advantage of the apprenticeship scheme. About this course You'll use a combination of technical and soft skills during the course. You will also have extensive on-the-job training allowing you to take your career to the next level and become an expert in your field. You'll be suitable for this course if you are already working within data analytics, business planning and IT. This course has meets the needs of the apprenticeships scheme, and is designed to the Data Analytics Specialism of the Digital Technology Solutions Level 7 integrated degree standard. All apprenticeships in the School of Computing have been created by the Institute of Coding, a government funded project to help close the digital skills gap. The MSc has also been created in consultation with industry. This ensures you will develop the skills needed to succeed in today’s workplace. What you'll learn
- Data visualisation
- Data management and exploratory data analysis
- Big data analytics
- Machine learning with project
- Statistical foundations of data science
- Statistical learning for data science
- Leadership and change in the digital age
- Digital technology and innovation management
- Strategic case studies
- Capstone project undertaken with your employer
- high specification computers only for postgraduates
- over 300 PC's running Windows, 120 just for postgraduates
- over 300 Raspberry Pi devices
- the latest Windows operating system and development tools
- 27" monitors with high resolution (2560X1440) display
- motion capture facilities
- 3D printing facilities
- graphics processing unit
- cloud scale virtualisation facilities
- a Linux based website that you can customise with PHP hosting services
- haptic and wearable computing hardware
- academia
- the public sector
- communities
- business and industry
Entry requirements
A 2:1 honours degree, or international equivalent, in computer science or a discipline with significant computing content, such as: mathematics engineering an engineering discipline statistics computer science The School of Computing has 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. Applicants should have achieved grade C or above in GCSE Maths and English (or equivalent qualifications). Applicants without English or Maths qualifications can study for them as part of their apprenticeship.
Fees and funding
Tuition fees
No fee information has been provided for this course
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
Provider information
Newcastle University
King’s Gate
Newcastle upon Tyne
NE1 7RU