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Master of Science

Data Science

Trier University

Trier, GermanyData Science & AI
Free TuitionAPS Requiredfull-time

Degree

Master of Science

Language

English

Tuition

Free

Duration

4 semesters

Programme Overview

Data science is becoming a key concept/competency for large private businesses, public institutions, and research. While it is not easy to define data science in a few words, data science deals with the analysis of large amounts of data (big data). The overall objective of this programme is to educate data scientists who are able to approach actual problems from different angles. They will also be trained to be life-long learners, able to rapidly adapt to changing demands in their working environments.

Admission Requirements

Academic requirements

All applicants must include a letter of motivation with regard to the study programme with their application.

Minimum GPA
No fixed minimum GPA is published on the current official programme page.
APS Certificate
Yes
Mandatory internship
No

Costs & Funding

Tuition fee
None
Semester contribution
approx. 380 EUR for the first semester and 360 EUR from the second semester onwards
ECTS credits
120
Funding info

Tuition: None Semester contribution: approx. 380 EUR for the first semester and 360 EUR from the second semester onwards

Career Outcomes

Specialisations

Algorithmic OptimisationApplied StatisticsData and Knowledge SystemsFinancial EconomicsGeoinformaticsNatural Language ProcessingSimulation Studies

Typical job roles

Data ScientistMachine Learning EngineerData AnalystBusiness Intelligence ConsultantData Engineer

Target industries

TechnologySoftware developmentDigital servicesWater utilitiesEnvironmental consultingMunicipal servicesEngineering consultancies

Similar programmes in Data Science & AI

Programme details

Degree
Master of Science
Language
English
Duration
4 semesters
Mode
full-time
Start
summer
Deadline
15 January (annual)

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APS Certificate required

Indian students must obtain an APS certificate before applying to this programme.

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