Computing and Data Science
Big Data is used by some of the world’s biggest organisations, and is defined by its size, complexity and the fact that regular data processing applications are unable to handle it.
This course is one of the first in the UK to address the challenges it presents, and during your first year you will study topics that include statistics, software engineering and social media.
The second year focuses on subjects such as the semantics of data and interoperability strategies, and during your final year you will link your knowledge to applications such as information visualisation.
The course will provide you with academic and technical skills to analyse, interpret and make sense of the huge amount of ubiquitous data created daily. It will enable you to meet the demands of tomorrow’s information society.
Learn how large amounts of distributed, diverse and linked data is relevant to all companies and organisations, whatever their size
Study data management, infrastructures, search and mining, presentation and visualisation, security and privacy
Develop your collaborative and communication skills as you work in lively, enthusiastic groups
Gain a critical understanding of the phenomenon of large-scale data repositories
Explore career opportunities with our many domestic and international industry contacts
Challenge yourself with practical projects that provide the opportunity to use your newly acquired knowledge
Benefit from the teaching expertise of research staff on a course that meets the needs of both academia and industry
Stojant į šį universitetą dėmesys yra kreipiamas į pažymius ir Brandos atestato vidurkį, kuris turi būti ne žemesnis kaip 5 + laikytų brandos egzaminų vidurkis ne mažesis kaip 50%.
Pažymių išrašas - jei dar nesi baigęs mokyklos, būtina prisegti pažymių išrašą. Smulkesnę informaciją kaip pildyti išrašą ir kada jis reikalingas, rasi čia.*
Brandos atestatas – jei jau esi baigęs mokyklą, išrašo nereikia, užtenka prie Kastu stojimo anketos prisegti savo Brandos atestatą.
Svarbu, jog anglų kalbos testo rezultatai universitetą pasiektų iki Liepos 31d.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
Anglų kalbos vidurkis 8 B2 lygiu.
IELTS - 6.0
TOEFL – 80
You will gain valuable skills for a career within Data Science in particular but also those relevant for a much wider range of applications such as information analysis or decision support systems.
The final year unit ‘Social Professional Project Management and Ethics’ requires you to work in a team to apply current project management methodology that embraces all of these knowledge areas in an integrated way while going through the stages of planning, execution and project control. You will work as part of a team, take responsibility and make autonomous decisions that impact on the project team performance.
The cross level project that spans from the unit ‘Data Science Group Project’ via ‘Data Science Individual Project’ to ‘Data Science Major Project’ is based on real data sourced from our industry partners, the Milton Keynes Data Hub or another relevant and recent application domain.
