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Computer Science● OpenMastersPreview

MSc in Data & Computational Science

A specialized Master's programme for quantitative graduates aiming for careers in data analytics and computational science.

Best for:Best for graduates in quantitative fields seeking advanced training in data analytics and computational science.

University College Dublin · Dublin, Ireland · R1 · First-stage researcher
More professors at University College Dublin
Data AnalyticsComputational ScienceStatisticsApplied MathematicsComputational Modeling
This is a masters position — not a PhD studentship.
Deadline
Apply online Who Should Apply? Full Time option suitable for: Domestic(EEA) applicants: Yes International (Non EU) applicants: Yes
Funding
—
1 year
Start date
unknown
Location
Dublin
Ireland

Overview

The MSc in Data & Computational Science at University College Dublin is designed for students with a strong background in highly quantitative disciplines. The curriculum focuses on developing advanced skills in data analytics and computational methods to solve complex problems. Students will engage with rigorous coursework that prepares them for professional roles in data-driven industries. The programme is suitable for those holding degrees in fields such as mathematics, physics, statistics, or engineering.

Data ScienceComputational ScienceMScQuantitative AnalysisPostgraduateData Analytics

What you'll do

  • Complete 90 credits of coursework over one year of full-time study.
  • Engage in advanced study of computational and data-driven methodologies.
  • Apply quantitative techniques to solve complex scientific and industrial problems.
  • Participate in academic assessments and research projects as required by the curriculum.

Requirements

Degree required: Upper Second class honours degree or higher in a highly quantitative subject (e.g., Mathematics, Physics, Statistics, Engineering).

Degree offered: MSc

Language: English; IELTS 6.5 (no band less than 6.0) or equivalent.

Instruction: English

Required skills
  • Strong foundation in mathematics or statistics.
  • Proficiency in quantitative problem-solving.
  • Academic background in a STEM-related discipline.
Eligibility
  • Applicants must hold an Upper Second class honours degree or international equivalent.
  • Recognition of Prior Learning (RPL) may be considered for admission or credit exemptions.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year
Programme
—

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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applications are submitted through the University College Dublin online portal. Prospective students should review the specific graduate application requirements on the university website.

Documents required
  • Academic transcripts
  • Proof of English language proficiency
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.