Computing Science with Data Science - Conversion Master's
A conversion programme designed to equip students with essential software development and data science skills for the Northern Ireland tech industry.
Best for:Best for graduates from non-computing backgrounds seeking a professional transition into software development and data science.
Overview
This one-year, full-time conversion Master's programme at Ulster University is designed for individuals looking to transition into the computing and data science sectors. The curriculum focuses on practical software development and data analysis techniques to meet the growing demand for technical talent in Northern Ireland. Students will engage in a comprehensive study of computing principles and data-driven methodologies across three semesters. The programme is structured to provide both theoretical foundations and applied skills necessary for professional roles in the software industry.
What you'll do
- Complete core modules in computing science and data science over three semesters
- Develop proficiency in software development methodologies and tools
- Apply data analysis techniques to solve complex technical problems
- Engage in practical projects to demonstrate graduate-level competencies
- Participate in all required academic assessments and coursework
Requirements
Degree required: Second class honours degree or equivalent in a non-computing discipline
Degree offered: Master's
Language: Academic IELTS 6.0 (no band < 5.5) or equivalent
Instruction: English
- GCSE pass in English Language at grade C or above
- GCSE pass in Mathematics at grade C or above
- Academic background with no more than 50% computing content
- Hold a second class honours degree or equivalent from a recognized institution
- Meet general university entrance requirements for postgraduate study
- Alternative entry via portfolio of evidence for those with significant experiential learning
Funding & terms
Programme and admissions
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How to apply
Applications are submitted directly through the university's online portal. It is recommended to apply at least two weeks before the intended start date to allow for processing and pre-enrolment tasks.
- Academic transcripts
- Proof of English language proficiency
- Portfolio of evidence (if applying via experiential learning route)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.