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Computer Science● OpenMastersPreview

MSc in Data Science

Develop advanced analytical and technical expertise to solve complex real-world data challenges.

Best for:Best for students with a strong bachelor's background in quantitative fields seeking to specialize in advanced data analytics and AI.

IT University of Copenhagen (ITU) · Copenhagen, Denmark · R1 · First-stage researcher
More professors at IT University of Copenhagen (ITU)
Data ScienceDeep LearningNatural Language ProcessingNetwork AnalysisStatisticsAlgorithmic Foundations
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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2 years
Start date
unknown
Location
Copenhagen
Denmark

Overview

The MSc in Data Science at the IT University of Copenhagen is a two-year programme designed to cultivate lead data scientists with comprehensive technical skills. Students gain a deep understanding of mathematical and algorithmic foundations, alongside practical experience in handling, analyzing, and operationalizing data. The curriculum covers emerging technologies, statistics, and computational challenges, including advanced natural language processing and network analysis. Furthermore, the programme emphasizes the ethical implications of technology and its broader impact on society. Graduates are prepared to apply their theoretical and applied knowledge to solve complex problems in both industry and academic settings.

Data ScienceMScMachine LearningData AnalysisComputational ScienceEthics in Technology

What you'll do

  • Master advanced mathematical and algorithmic foundations for data science.
  • Develop technical proficiency in handling and operationalizing large datasets.
  • Conduct research on complex problems in fields such as deep learning and network analysis.
  • Analyze and discuss the ethical implications of emerging data technologies.
  • Apply theoretical knowledge to solve real-world data science problems.

Requirements

Degree required: Bachelor's degree in a relevant field

Degree offered: MSc

Language: English proficiency required for academic study

Instruction: English

Required skills
  • Strong mathematical background
  • Foundational knowledge in computer science
  • Analytical and problem-solving skills
Nice to have
Experience with programming for data analysisPrior exposure to statistical modeling

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
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

Interested applicants should visit the official programme portal to review specific admission requirements and submission deadlines. Applications are processed through the university's designated online system.

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