Course Summary
This MSc Data Science aims to prepare students for a successful career as a data scientist or business analyst, working in any profession where large amounts of data are collected, and there is a need for skills in data acquisition, information extraction, aggregation and representation, and data analysis using state-of-the-art machine learning techniques.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.
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).
Application Details
Your Application
Application is through the University's online application system (see "Application Weblink").
Start Dates: September 2024 and January 2025
Fees
Application is through the University's online application system (see "Application Weblink" below).
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
The key message from employability and work-related learning initiatives is that enhancing opportunities to develop work-related learning and employability enhances the learning of the subject being studied. We understand the importance of including real industrial and commercial contexts to our student's experience, so this MSc Data Science will pursue opportunities for industrially linked teaching material and student project work. In this regard, we will utilise our business and industry links to facilitate an industrially relevant student project. Such projects create valuable experiences for the student, and additionally, they can also help to build new and ongoing collaborations with departments and companies, with the potential to tap into funding streams designed for industry-academic research and development.
A recent statement from Ulster University’s Careers Office indicates that Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. Data analysts can work in large companies such as the ‘big four’ consultancies or financial services firms, or consumer retail firms, small and medium sized businesses such as marketing agencies’ or the public sector.