Business Intelligence Data Analytics (Top-Up)
Learn how to effectively use business intelligence and data analytics technologies and tools. Focus on current research in the field of computing and digital technologies for business success. Consider the professional and ethical requirements of big data.
This top-up course is informed by data science, AI and machine learning. Data science research has impact wherever analysis of large-scale complex data is useful. It enables businesses and policy makers to determine trends, it can be used in disease prevention, preventing terrorist attacks, cybersecurity, combatting crime and in the discovery of new scientific knowledge. You will learn a range of industry specific software and tools such as Oracle, Python (Anaconda Navigator), R Studio and Weka.
We employ a blended teaching and learning approach and work to consistently to expose you to real-world industrial activity while developing essential practical skills. You will learn through a mix of lectures, interactive lectorials, lab-based practicals, classroom-based seminars, group problem-solving sessions, case studies, guest expert lectures, one-to-one and group supervision and online learning.
You will be assessed mostly by practical coursework, with some written assessments and occasional written examinations or time-constrained assessments.
Į Top-up (Tęstinės studijos) gali stoti baigę kolegiją ar universitetą arba besimokantys paskutiniuose kursuose ir norintys perstoti. Stojant į Top - up reikia turėti 120-180 ECTS kreditų, todėl stodamas įsitikink, kad jų turi pakankamai. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu. Baigęs tęstinių studijų programą gausi bakalauro diplomą.
ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai.
Aukštosios mokyklos baigimo diplomas - Jei jau esi baigęs aukštąją, išrašo nereikia, užtenka prisegti savo Aukštosios mokyklos baigimo diplomą.
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
With the global data and business analytics market being valued at 169 billion US dollars in 2018, and expected to grow to 274 billion in 2022, there is a clear demand for data analytics professionals. In October 2019, jobsite.co.uk listed over 2,700 jobs in the UK that require skills in data analytics, with over 330 of these commanding a salary of over £100,000.
You will be given additional support in career planning, preparing to apply, preparing your CV, interview techniques and much more, meaning you will well equipped to apply for exciting, high-salary positions such as data analytics analyst or big data consultant.
You will graduate as a technically competent data and information systems analyst with experience of up-to-date methodologies, opening up a wide range of employment opportunities. Our graduates in this area are working as Software Developers and Data Engineers at financial institutions including JP Morgan and Deloitte and software development companies such as Accenture.
