MSc in Data Science
A rigorous master’s programme preparing professionals for careers in data-driven industries.
Best for:Best for graduates in computing, engineering, or related fields seeking a hands-on master’s in data science with strong industry relevance.
Overview
The MSc in Data Science at Ulster University’s Derry-Londonderry Campus equips graduates with advanced technical skills to extract insights from complex datasets. Taught in-person on campus, this programme blends computational methods, statistical analysis, and domain-specific applications to address real-world challenges. It is designed for computing, engineering, or related graduates seeking to specialise in data science, with flexible entry points in September and January. The curriculum balances theoretical foundations with practical projects, ensuring graduates are industry-ready. Alternative entry routes exist for experienced professionals lacking formal qualifications but demonstrating equivalent competencies.
What you'll do
- Develop advanced technical skills in data analysis, machine learning, and statistical modeling to solve complex problems.
- Apply computational methods to extract insights from large datasets and visualise findings effectively.
- Engage in hands-on projects that bridge theoretical knowledge with real-world industry applications.
- Collaborate on group work and individual projects to enhance problem-solving and teamwork abilities.
- Develop expertise in data-driven decision-making processes for diverse sectors.
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 in Data Science
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 a related field.
- Competence in written and spoken English (GCSE grade C or equivalent).
- Ability to demonstrate graduate-level subject-specific knowledge in data science or related areas.
- Open to international applicants with equivalent qualifications.
- Alternative entry via portfolio for individuals with substantial experiential learning.
- No age restrictions or residency requirements.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Taught / research mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: Rolling (submit no later than two weeks prior to course start date) · open until filled
Applicants can apply directly to Ulster University at any time. The application process involves submitting a CV, academic transcripts, and proof of English proficiency. Some programmes may require additional steps like interviews or portfolio submissions, so applicants should check the course page for specific requirements. Offers are conditional on completing pre-enrolment tasks.
- CV
- Academic transcripts (BSc + relevant qualifications)
- Proof of English proficiency (e.g., IELTS or equivalent)
- Portfolio of written evidence (for alternative entry route applicants)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.