Master of Science in Data Science
Trier University
Program 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 methods and tools needed to analyse (large amounts of) data and draw actionable conclusions from the results gained in the process. These methods and tools (covering big data and their analysis, data modelling, machine learning, and simulation methods) are located at the intersection of three subjects: computer sciences, mathematics, and statistics. Consequently, this new Master's programme at Trier University is jointly taught by lecturers from the fields of computer sciences, mathematics, and statistics (whereas other data science programmes typically only cover one or two of these fields). This ensures that graduates will have a broad knowledge of the discipline and will be 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. In the first semester of this multidisciplinary programme, propaedeutics courses make sure that students coming from different study backgrounds will be able to successfully follow the programme. State-of-the-art e-learning concepts (e.g. flipped classrooms, electronic tutorials, etc.) engage students and offer additional flexibility regarding learning periods. A small research project is a compulsory part of the programme. During this project, students will apply their acquired knowledge to real world problems and learn to approach these problems with scientific methods. The project also serves to strengthen the students' soft skills. A broad choice of courses (including other subjects like economics, environmental sciences, etc.) enables students to tailor their course of study to their specific needs and targeted working environments. Students will be able to earn a double Master's degree in combination with computer sciences, business informatics, applied mathematics, business mathematics, or applied statistics. The MSc in Data Science also serves as a solid foundation for future PhD students in the related fields.
EURFinancials
Financials
INFOIntakes and Duration
Intakes and Duration
Intake Season
Winter (October); Summer (April)
Duration
4 semesters
COCareer Outcomes
Career Outcomes
You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.
EURSalary Outlook
Salary Outlook
Typical range
€60,000 – €105,000 per year
Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.
LANGLanguage & Exams
Language & Exams
Teaching Language
English
Applicants must prove their English language proficiency at level C1 based on the Common European Framework through one of the following tests. The test must have been taken within the last three years: TOEFL (Code 9208): at least 215 points (computer-based) or 550 points (paper-based) or 80 points (Internet-based) Cambridge Certificate in Advanced English (CAE) / C1 Advanced IELTS (at least 6.5 points in the overall score) UNIcert III Applicants are exempt from providing above proof of English language proficiency if at least one of the following conditions is met: Native speaker coming from Great Britain, Northern Ireland, Ireland, USA, Canada, Australia, New Zealand or Malta Two years of full-time study in an English taught programme, undertaken within the past two years, in one of these countries: Great Britain, Northern Ireland, Ireland, USA, Canada, Australia, New Zealand or Malta At least five school years of English in secondary education and at least five points in English at "Abitur" level (only Germany and Luxembourg)
REQRequirements
Requirements
Academic Admission
Applicants to the MSc in Data Science programme must fulfil the following requirements: Proof of a Bachelor's degree (acquisition of at least 180 ECTS from a domestic or foreign university) fulfilling one of the following criteria: Final grade of 1.7 or better (German grading system) in the field of computer sciences (computer sciences or business informatics), economics, mathematics (applied mathematics or business mathematics), or statistics Final grade of 1.4 or better in a related subject (the examination board will decide on a case-by-case basis whether a subject is deemed to be related to data science or not. Please see the programme website for details.) The examination board will make case-by-case decisions on applications with a final grade between 1.8 and 2.2 (German grading system) in one of the six subjects explicitly mentioned above. The examination board will communicate the relevant criteria in advance. The examination board will make case-by-case decisions on applications with a final grade between 1.5 and 1.9 (German grading system) in a related subject (see comments above). The examination board will communicate the relevant criteria in advance on the programme website. All applicants must include a letter of motivation with regard to the study programme with their application. Furthermore, applicants have to prove their English language proficiency according to the current regulations of Trier University (information can be found on the university's website). Detailed information for potential applicants can be found on the programme website and here: https://www.uni-trier.de/index.php?id=73312 . Please read the information document linked above thoroughly before sending e-mails to the contact person, as most of your questions will be typically answered. Please refrain from sending e-mails regarding your eligibility for the programme to the contact person as the decision is made by the examination board. However, the information document linked above should give you a good idea about whether your profile fits the programme. You can find the current examination regulations on the programme website. Since the examination regulation is a legal document, it is only available in German.
APS Certificate
An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.
IELTS Score
IELTS 6.5 overall
Application Deadline
Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.
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