Computer Science with Data Analytics

Universitetas
Salford University
Miestas, šalis
Manchester, England
Studijų trukmė
3 m.
Programos sritys
Data Science & Big Data, Computer systems
Studijų kaina
13450.00 GBP
Studijų kalba
English (ENG)
Laipsnis
Bachelor
Programos pradžia
2022-09-19
Stojimo pabaiga
2023-01-15
Apie programą
Stojimo reikalavimai
Karjeros galimybės

Your use of smartphones, search engines and social network sites generates huge amounts of data that defines you as a person. Online companies routinely capture huge amounts of information about their customers, suppliers, and operations. The “Internet of Things” is embedding networked sensors  into vehicles, buildings and devices. Each of these generates datasets that are enormous, and that grow rapidly. Hidden within the data is useful information that will support decision making. This course will give you insight into the issues, tools and techniques involved in data discovery, preparation,  model planning and selection, model building, communication and operationalisation. Many companies are interested in making use of this data to understand changing business trends and customer behaviour.

You may have heard of “Google Analytics”… well that will give you an idea of what can be done, but the potential is so much more.

As well as using this page, you can find out more about this course here, and follow us on Facebook.  

The new field of “big data analytics” revolves around three main activities: data capture, data analysis and data exploitation. Data comes in all scales and shapes and requires different capture, storage and access techniques. The collected data requires validation, tagging, analysis and integration. To add economic value to the data, and to use it to fuel scientific and economic growth, techniques and tools are needed to exploit, visualise and incorporate data in decision making processes. You will gain the skill to develop systems that have the ability to infer meaning from data and allow stakeholders to take action based on that meaning.

Reikalaujamas išsilavinimas

Stojant į šį universitetą dėmesys yra kreipiamas į pažymius ir Brandos atestato vidurkį, kuris turi būti ne žemesnis kaip 9. Taigi, labai svarbu yra ne tik atitikti stojimo reikalavimus, bet ir turėti kuo geresnius pažymius!

  • 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.

Anglų kalbos reikalavimai

Svarbu, jog anglų kalbos testo rezultatai universitetą pasiektų iki Liepos 31d.

Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:

  • IELTS - 6.0

  • TOEFL – 80

Big Data and Data Analytics are currently significant growth areas in both research and industry sectors. UK organisations are seeking to exploit the growth in “big data” to support evidence based decisions. However it is becoming increasingly apparent that there is a significant shortfall in graduates with the appropriate data skills.
Graduates of this course will be equipped with similar computing knowledge and understanding to that of graduates from the existing Computer Science programme, but will have an enhanced mathematical understanding and greater contextual knowledge in the domain of data handling and analytics. This will enable graduates to seek employment with organisations where computing is used in combination with strong mathematical underpinnings. Typically these organisations will be dealing with computer based simulation and mathematical modelling. In addition the data handling and analytics skill sets will open further opportunities in emerging commercial and research sectors that use data analytics to drive commercial advantage in diverse sectors such as healthcare, marketing, finance, etc.
The UK Government has formulated a “Strategy for UK Data Capability”, and cites a shortage of skilled workers in the data analytics market as a key barrier to UK development.