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Data Science (Analytics and Applications) at Ulster University - UCAS

Ulster University

Degree level: Postgraduate

Data Science (Analytics and Applications) (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

If you have previous computing experience and want to build skills to develop your career, then this is the perfect opportunity for you to begin to specialise in Data Science, a key growth area within the IT sector. Data Science skills are typically in high demand in many industries including IT, business, security, health, intelligent transport, energy, and the creative industries. Data and analytics capabilities has developed rapidly in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. Most companies, however, are not capturing the full potential value from data and analytics because they do not have the required expertise. To help address these challenges, the Postgraduate Certificate in Data Science will provide you with the knowledge and skills in key technologies used in data collection, curation, processing, integration, analysis, and visualisation, applied to a variety of data types. Students will be introduced to a data scientist toolkit that can be applied to build data-driven applications.


Entry requirements

Applicants must: (a) have gained (i) an Honours or non-Honours degree in the subject areas of computing, engineering or related discipline from a University of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which is recognised as being of an equivalent standard; or (ii) an equivalent standard in a Graduate Certificate or Graduate Diploma or an approved alternative qualification in the subject areas of computing, engineering or related discipline; and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent); In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Visit https://www.ulster.ac.uk/student/fees/tuition-fees
Data Science (Analytics and Applications) at Ulster University - UCAS