The regular start for both master’s programmes is in the winter semester.
As the propaedeutics / first mandatory courses are taught in the winter semester, a start in the summer semester might necessitate some additional self-study in order for you to be able to follow the more advanced courses.
For statistics courses (especially in the M.Sc. Data Science), reading a textbook on statistics for the economic and social sciences and getting started with the statistical programming language R are recommended.
For computer science and mathematics courses (M.Sc. Data Science), please ask the respective lecturers if you need advice regarding self-study.
You can find the courses offered in the M.Sc. Applied Statistics in the summer semester 2023 using this link.
To be able to properly follow “Small Area Estimation”, some basic understanding of survey sampling is highly recommended.
The mandatory second-semester courses offered in the M.Sc. Data Science in the summer semester 2023 are “Big Data Analytics” and “Data Mining” (computer science), “Numerical Optimization for Data Science” (mathematics), and “Statistical Methods of Data Science” (statistics).
A list of elective modules can be found in the examination regulation, which is linked here.
Please note that only modules with “Regelsemester” (regular semester) 2 and 4 are potentially offered in the summer semester.
We wish you a good start at Trier University!
Dear potential applicant,
thank you for your interest in our master programme. We receive many inquiries each day.
Therefore, we would like to kindly ask you to have a look at our detailed information document first.
The answers to the most common questions can be found either in the document itself or on the websites referred to in the document.
If you still have unanswered questions after thoroughly consulting the provided resources, please do not hesitate to contact us via statisticsuni-trierde.
The current examination regulations for the M.Sc. Survey Statistics can be found here. Please note the current regulations.
§ 2 Admission requirements and recommended basic knowledge
(1) In addition to the admission requirements regulated in § 2 General Examination Regulations for the Master, students of the M.Sc. Survey Statistics must fulfill the following additional requirements:
Proof of a Bachelor's degree (acquisition of at least 180 ECTS credits at a domestic or foreign university)
- with a grade of 2.0 or better in a mathematical-statistical oriented course of study in mathematics, business mathematics, or statistics
- with a grade of 2.0 or better in the subjects of business administration, economics and sociology, if competencies amounting to 24 LP from the field of mathematics, statistics or quantitative methods are demonstrated.
- with a grade of 2.0 or better in a course of study affinitive to the previously listed Bachelor's programs, which has a share of at least 30 LP from the field of mathematics, statistics or quantitative methods.
The decision on equivalence and affinity, as well as on admission in case of a grade between 2.1 and 2.5, is made by the examination board on a case-by-case basis. In this case, the application must be accompanied by a letter of motivation for the course of study.
(2) In addition to the knowledge to be demonstrated, knowledge in the following areas is recommended and required for successful study:
- Good knowledge of the programming language R is expected.
- A good knowledge of English is required.
Please understand that the admission office can only grant admission to individual study programs after an application has been completed.
Therefore, please refrain from sending exams to check admission in advance.
Information on the recognition of foreign degrees can be found on the website of the Conference of Ministers of Education and Cultural Affairs (KMK).