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Computer Science● OpenMastersPreview

Data Science (MSc)

Master the art of processing, analyzing, and securing data in a global, interdisciplinary environment.

Best for:Best for students with a strong mathematical foundation looking to build professional expertise in data analytics and machine learning.

University of Southern Denmark (SDU) · Kolding, Denmark · R1 · First-stage researcher
More professors at University of Southern Denmark (SDU)
Machine LearningStatisticsData SecurityProgrammingHuman InformaticsEconomics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
unknown
Location
Kolding
Denmark

Overview

The Master of Science in Data Science at the University of Southern Denmark (SDU) is a two-year programme designed to equip students with expertise in programming, statistics, machine learning, and IT security. Students engage in a curriculum that balances theoretical knowledge with hands-on projects and collaborative group work. The programme offers specializations in Economics and Business Administration, Human Informatics, or ITC Systems. Graduates are prepared for diverse roles in a data-driven global economy, benefiting from an English-speaking, multicultural academic setting.

Data ScienceMScMachine LearningIT SecurityStatisticsData Analysis

What you'll do

  • Develop proficiency in programming and statistical analysis techniques.
  • Apply machine learning models to solve real-world data problems.
  • Collaborate on interdisciplinary group projects with peers from diverse fields.
  • Implement IT security protocols and ethical data management practices.
  • Complete a Master's thesis in the final semester focusing on a chosen specialization.

Requirements

Degree required: Bachelor's degree in a relevant field with a strong mathematical foundation.

Degree offered: MSc

Language: English proficiency required for an English-speaking environment.

Instruction: English

Required skills
  • Strong mathematical foundation
  • Motivation for data-driven problem solving
  • Ability to work in collaborative, interdisciplinary teams
Nice to have
Prior experience in programmingInterest in economics or business administrationInterest in human-computer interaction
Eligibility
  • Must meet university admission criteria for Master's level study.

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 university portal to review specific admission requirements and submission deadlines. Applications are processed through the university's centralized system.

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