Data Science at Ulster University - UCAS

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

Course summary

Data science is a rapidly developing field of study within both academia and industry. Demand for data scientists and business analysts is high in many industries including IT, business, security and health sectors, intelligent transport, energy efficiency and the creative industries. This course will prepare you for a future career as a data scientist or business analyst working in any profession where large amounts of data is collected and there is a need for skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation. You will benefit from a firm grounding in the core disciplines of data analytics and information processing, partnered with a broad appreciation of aspects of other disciplines where data science can form natural synergistic relationships. We will help you to build your skills and professional network. Utilising our research expertise and industrial links, you will conduct data projects with internal departments and external university partners. Professional Recognition - Accredited by The BCS (British Computer Society), the Chartered Institute for IT.

Modules

Business Intelligence Data Validation and Visualisation Machine Learning and Data Modelling Data Science Foundations Big Data and Infrastructure Statistical Modelling and Data Mining Masters Project (Research)


Entry requirements

Applicants must: (a) have gained (i) a second class honours degree or better 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 has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be 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).


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Visit https://www.ulster.ac.uk/student/fees/tuition-fees
Data Science at Ulster University - UCAS