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Key information

Qualification type

Postgraduate Certificate

Subject areas

Data Analysis

Course type


Course Summary

Data Science 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 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. 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: data visualization, cloud computing, Bayesian statistics, machine learning. We have substantial expertise in data science, focusing on a wide range of application areas. This includes: healthcare, transport, cybersecurity, smart cities, manufacturing. 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: develop and deepen your knowledge and skills, work in a research or development team.

Different course options

Full time | Newcastle University | 8 months | SEP

Study mode

Full time


8 months

Start date


Tuition fees

UK fees
Course fees for UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


Entry requirements

Students should have a 2:1 BSc honours degree, or international equivalent, in: computer science, mathematics, statistics, an engineering discipline. Applicants with lower or non-standard qualifications and relevant industrial experience will be considered on an individual basis.