Data Science
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 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 technologies.
| Award Name | Degree - Masters at UK Level 7 |
|---|---|
| NFQ Classification | |
| Awarding Body | Ulster University |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Masters at UK Level 7 | Ulster University |
Entry Requirements
Standard entry conditions
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).
Careers / Further progression
Career options
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.
Further information
Start Dates: September 2024
Your Application
Application is through the University's online application system (see "Application Weblink").
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 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 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 technologies.
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.
Full-Time (Derry~Londonderry)/
Part-Time (Derry~Londonderry or Belfast)
For further course details please see "Course Web Page".
Modules
Here is a guide to the subjects studied on this course.
• Data Science Foundations
• Big Data Technologies
• Business Intelligence and Analytics
• Data Validation and Visualisation
• Deep Learning and Natural Language Programming
• Statistical Modelling and Machine Learning
• Research Masters Project
Contacts
Support with admissions and entry requirements UK, ROI & EU admissions@ulster.ac.uk
Support with admissions and entry requirements International (excluding EU) global@ulster.ac.uk
Support with course information
Dr Debbie Rankin
sceis@ulster.ac.uk