Information Science (Data Analytics)
Are you looking for a Masters-level qualification that will open doors to jobs and promotions in the field of data analytics? This course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence.
As part of the focus on data analytics, you will cover topics such as how to design and manipulate databases with relational algebra and SQL. You will also analyse (big) data in order to improve organisational decision-making, using techniques such as regression analysis, clustering, distance measures, probability and distributions.
All of Northumbria's information science postgraduate courses are accredited by the Chartered Institute of Library and Information Professionals. This accreditation makes our courses stand out and enhances their credibility and currency among employers, and is also crucial for progressing to Chartership status once qualified.
Northumbria uses a range of technologies to enhance your learning, with tools including web-based self-guided exercises, online tests with feedback, videos and tutorials. These tools support and extend the material that is delivered during lectures, and are available anywhere anytime. Group work and peer interaction feature prominently in our learning and teaching, this reflects the practices you're likely to encounter within the working environment.
You will have 24/7 term-time access to Northumbria's library, which has over half a million print books as well as half a million electronic books available online. The 24/7 University Library achieves some of the highest levels of student satisfaction in the UK and has held the Cabinet Office accreditation for Customer Service Excellence since 2010.
The University has advanced search software and database tools, including NORA Power Search that allows you to use a single search box to get fast results from across a wide and reliable range of academic resources. The use of such software and tools is an important aspect of our information science courses.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
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. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Svarbu, jog anglų kalbos testo rezultatai universitetą pasiektų iki Liepos 31d.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
Brandos atestatas - anglų kalbos vidurkis 8 B2 lygiu arba valstybinis anglų kalbos egzaminas 75% ir daugiau. Atkreipk dėmesį, kad kai kurioms programoms gali reikėti anglų kalbos vidurkio 9 B2 lygiu arba anglų egzamino rezultato 80% ir daugiau.
IELTS - 6.5
TOEFL - 90
Data analytics is firmly in the spotlight due to transformations in information science and the emergence of big data. As we look to the future, which will be marked by ever greater capabilities for data processing, and a rising expectation that major decisions should be based on data-driven insights, data analytics will become increasingly valued and rewarded.
On graduation, you will be well placed to take advantage of this trend. Employers are looking for information professionals who can develop new insights through mastery of their subject and critical scholarship. With your Masters qualification, you will be equipped to make a difference, advance your practice and make well-balanced judgements. You could work for a wide range of employers in the field of data analytics or you could consider freelance roles as a consultant. Your Masters qualification can also form the basis for further postgraduate studies at a higher level.
