PhD Monitor
/Detail
Statistics● OpenMastersPreview

Master of Science in Applied Statistics

A comprehensive two-year Master's programme focusing on modern statistical methods, computational survey statistics, and data science.

Best for:Best for students with a strong quantitative background in mathematics, statistics, or economics seeking a career in applied data analysis.

Trier University · Trier, Germany · R1 · First-stage researcher
More professors at Trier University
Survey StatisticsData ScienceGeostatisticsComputational StatisticsEconometricsOfficial Statistics
This is a masters position — not a PhD studentship.
Deadline
Non-EU citizens: 15 January 2027 for the summer semester 2027 (admission also valid for the winter semester 2027/28) 31 May 2027 for the winter semester 2027/28 (admission also valid for the summer semester 2028) German citizens, EU citizens, and applicants with a BA or MA degree from a German university: 15 March 2027 for the summer semester 2027 (admission also valid for the winter semester 2027/28) 15 September 2027 for the winter semester 2027/28 (admission also valid for the summer semester 2028) Recommended start of the programme: winter semester
Funding
—
No tuition fees; semester contribution of approx. 360-380 EUR.
Start date
Winter or Summer semester
Full-time
Location
Trier
Germany

Overview

The Master of Science in Applied Statistics at Trier University provides rigorous training in modern statistical methodologies with a strong emphasis on computational and survey statistics. Students can specialize in one of four tracks: Survey Statistics, European Master in Official Statistics (EMOS), Data Science, or Geostatistics. The programme fosters a multidisciplinary environment, integrating insights from economics and social sciences to prepare graduates for careers in national statistical institutes, research organizations, and the private sector. Through collaborations and teleteaching, students benefit from a broad range of lectures and practical research opportunities at the Research Institute for Official and Survey Statistics (RIFOSS).

Applied StatisticsR ProgrammingQuantitative MethodsSurvey SamplingMonte Carlo SimulationStatistical Modelling

What you'll do

  • Complete compulsory modules in statistical theory, econometrics, and Monte Carlo simulation methods.
  • Develop proficiency in statistical programming using R for complex data analysis.
  • Select and complete elective modules aligned with a chosen specialization track.
  • Conduct independent research within a dedicated research project.
  • Author and defend a Master's thesis as the final requirement of the programme.

Requirements

Degree required: Bachelor's degree (180 ECTS) in mathematics, statistics, economics, business, or a related quantitative field.

Degree offered: Master of Science

Language: English (C1 level required).

Instruction: English

Required skills
  • Strong academic record in mathematics, statistics, or quantitative methods.
  • Proficiency in English at C1 level (e.g., IELTS 6.5, TOEFL iBT 80).
  • Foundational knowledge in statistical programming (R is highly recommended).
Nice to have
Prior experience with statistical software packages.Background in social sciences or economics.
Eligibility
  • Bachelor's degree with a minimum grade of 2.0 (German system) in relevant fields.
  • Applicants with grades between 2.1 and 2.5 are subject to case-by-case review by the examination board.
  • Must meet specific ECTS credit requirements in mathematics and statistics depending on the undergraduate major.

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approx. 360-380 EUR.
Duration
4 semesters
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

Deadline: 2027-09-15

Applications must be submitted through the university's official online portal. Applicants are required to provide proof of their Bachelor's degree, English language proficiency, and a letter of motivation.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • English language proficiency certificate
  • Letter of motivation
↗Check programme and admissions

Contact

Lab
Research Institute for Official and Survey Statistics (RIFOSS)
Trier University
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.