MSc Data Science with Applied Research
A hands-on master’s programme blending data science theory with real-world applied research projects.
Best for:Best for graduates or professionals with a background in computing, engineering, or related disciplines seeking to specialise in data science with hands-on research experience.
Overview
The MSc Data Science with Applied Research at Ulster University prepares graduates for careers as data scientists or business analysts. This programme focuses on equipping students with skills in data acquisition, information extraction, aggregation, and advanced machine learning techniques. It is designed for professionals who work with large datasets and need expertise in modern data analysis tools. The curriculum integrates theoretical knowledge with practical applications, ensuring graduates are industry-ready. The programme is delivered in-person at the Derry-Londonderry campus and spans two academic years, typically completed in four semesters.
What you'll do
- Develop and apply advanced machine learning techniques to solve real-world data problems.
- Conduct applied research projects that integrate data acquisition, processing, and analysis.
- Work with large datasets to extract meaningful insights and represent data effectively.
- Collaborate on projects that bridge theoretical knowledge with practical industry applications.
- Engage in hands-on learning through in-person modules and research-focused assignments.
Requirements
Degree required: A second-class honours degree (or equivalent) in computing, engineering, or a related discipline from a UK, Irish, or internationally recognised institution. Alternatively, an equivalent standard in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate, or Postgraduate Diploma in a relevant field.
Degree offered: MSc
Language: English; Academic IELTS 6.0 with no band score less than 5.5, or equivalent (e.g., Trinity ISE: Pass at level III).
Instruction: English
- Proven academic background in computing, engineering, or related disciplines.
- Competence in written and spoken English (GCSE grade C or equivalent).
- Ability to work with large datasets and apply data analysis techniques.
- Substantial and significant experiential learning may be considered as an alternative entrance route in exceptional circumstances.
- Portfolio of written evidence demonstrating graduate qualities may be submitted for alternative entrance consideration.
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Taught / research mode
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- Prerequisites
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- Tuition
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How to apply
Deadline: Rolling (advisory: submit no later than two weeks prior to course start date) · open until filled
Applicants can apply directly to Ulster University at any time of the year. The application process involves submitting an application through the university’s portal, ensuring sufficient time for review and pre-enrolment tasks. Specific deadlines may apply for programmes requiring additional selection steps like interviews or portfolio submissions.
- CV/Resume
- Cover letter or personal statement
- Academic transcripts (Bachelor’s degree and any postgraduate qualifications)
- Proof of English language proficiency (if applicable)
- Portfolio of written evidence (for experiential learning applicants)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.