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17.TrierUniversity
University note
Trier University – M.Sc. Data Science
Program Overview
| Field | Details |
| University | Trier University |
| Degree | Master of Science (M.Sc.) |
| Program | Data Science |
| Study Mode | Full-time |
| Language of Instruction | English |
| Duration | 4 semesters (120 ECTS) |
| Intake | Winter & Summer Semester |
| Admission Type | Open Admission (subject-specific requirements) |
| Tuition Fee | None (Semester contribution only) |
Program Highlights
- Fully taught in English
- Jointly offered by Computer Science, Mathematics and Statistics
- Strong focus on Machine Learning and Big Data
- Research-oriented curriculum
- Multiple specialization tracks
- Excellent preparation for PhD studies
- No tuition fees
Curriculum
Core modules include:
- Big Data Analytics
- Data & Web Mining
- Statistical Methods for Data Science
- Numerical Optimization
- Machine Learning
- Data Modelling
- Research Case Studies
- Master's Thesis
Specialization tracks include:
- Algorithmic Optimization
- Applied Statistics
- Data & Knowledge Systems
- Financial Economics
- Geoinformatics
- Natural Language Processing
- Simulation Studies
Admission Requirements
Academic Qualification
Applicants must possess:
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or a closely related discipline.
- Equivalent international degree.
English Language Requirement
Applicants must provide proof of English proficiency according to the university regulations.
Accepted proofs include:
- IELTS
- TOEFL
- Equivalent English language certificates
Application Deadlines
Winter Semester
Non-EU Applicants
- Application Opens: Early May
- Application Deadline: 31 May
EU / German Applicants
- Application Opens: Early May
- Application Deadline: 15 September
Summer Semester
Non-EU Applicants
- Application Deadline: 15 January
EU / German Applicants
- Application Deadline: 15 March
Tuition & Fees
| Fee | Amount |
| Tuition Fee | None |
| Semester Contribution | Approximately €360–380 per semester |
Career Opportunities
Graduates work as:
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst
- Research Scientist
- Analytics Consultant
Why Choose Trier University?
- Strong interdisciplinary Data Science curriculum
- Excellent Machine Learning and Statistics foundation
- Research-oriented
- English-taught
- No tuition fees
- Excellent preparation for PhD
Official Links
University: https://www.uni-trier.de/en/index.php?id=48875
MyGermanUniversity: https://www.mygermanuniversity.com/master/data-science/311
Trier University – M.Sc. Natural Language Processing
Program Overview
| Field | Details |
| University | Trier University |
| Degree | Master of Science (M.Sc.) |
| Program | Natural Language Processing |
| Study Mode | Full-time |
| Language of Instruction | English |
| Duration | 4 semesters (120 ECTS) |
| Intake | Winter & Summer Semester |
| Admission Type | Open Admission |
| Tuition Fee | None (Semester contribution only) |
Program Highlights
- Fully taught in English
- Specialized Master's in NLP
- Strong focus on Artificial Intelligence and Machine Learning
- Covers semantic technologies, language technologies and digital media
- Practical programming projects
- Excellent preparation for AI research and PhD
Curriculum
Students study topics such as:
- Natural Language Processing
- Machine Learning
- Semantic Technologies
- Text Mining
- Information Retrieval
- Computational Linguistics
- Artificial Intelligence
- Digital Humanities
- Digital Libraries
- Master's Thesis
Admission Requirements
Academic Qualification
Applicants must possess a Bachelor's degree in a relevant discipline.
Examples include:
- Computer Science
- Computational Linguistics
- Artificial Intelligence
- Data Science
- Linguistics
- Communication Science
- Media Science
Applicants should normally have at least 30 ECTS in:
- Computational Linguistics, or
- Linguistics, or
- Computer Science
Subject suitability is assessed individually.
English Language Requirement
Applicants must provide proof of English proficiency according to the university regulations.
Accepted proofs include:
- IELTS
- TOEFL
- Equivalent English certificates
Application Deadlines
Winter Semester
Non-EU Applicants
- Application Opens: Early May
- Application Deadline: 31 May
EU / German Applicants
- Application Opens: Early May
- Application Deadline: 15 September
Summer Semester
Non-EU Applicants
- Application Deadline: 15 January
EU / German Applicants
- Application Deadline: 15 March
Tuition & Fees
| Fee | Amount |
| Tuition Fee | None |
| Semester Contribution | Approximately €360–380 per semester |
Career Opportunities
Graduates commonly become:
- NLP Engineer
- Machine Learning Engineer
- AI Engineer
- LLM Engineer
- Conversational AI Engineer
- Speech Processing Engineer
- Information Retrieval Engineer
- Research Scientist
- PhD Researcher
Why Choose Trier University?
- One of Germany's dedicated NLP Master's programmes
- Strong focus on AI and Language Technologies
- Excellent research environment
- English-taught
- No tuition fees
- Strong pathway to doctoral research
Official Links
University: https://www.uni-trier.de/en/studium/studienangebot/studiengaenge-von-a-z/english-taught-masters-courses/natural-language-processing-master-of-science-1-subject-study-information-en
MyGermanUniversity: https://www.mygermanuniversity.com/master/natural-language-processing/2510