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Eberhard Karls University Tubingen

Tübingen

Data Science in Business and Economics

Subjects: Data Science in Business and Economics,Business,Economics,Data

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English, German
💶  Application Fee non-EU
No information

💶  Cost per Semester
166 EUR

💶  Tuition Fees per Semester
1,500 EUR
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter
15.05.

Course description

Data Science is a dynamic, interdisciplinary, and fast-evolving field. Data scientists need to handle complex and unstructured data, interpret results, and communicate findings to stakeholders. This requires a blend of econometrics, statistics, programming skills, and domain knowledge. Our four-semester M.Sc. program is designed to meet these needs. Students specialize in econometrics and choose from a wide range of business and economics modules. They also take courses in data science techniques, including programming in R and Python. Additionally, they have the option to study Machine Learning in collaboration with the computer science department. This program equips students with the skills to excel in data science, ensuring they can analyze data, derive insights, and effectively share their findings.

Program Information

Study Location Tübingen
Start Semester Winter
Study Form Full-time
Study Type Postgraduate
Teaching Language English, German
Dual No
Remote No
Application Fee non-EU No information
Study Length 4 Semesters
Tuition Fees per Semester 1,500 EUR
Cost per Semester 166 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter
01.04.

⏱️ Application Deadline Winter
15.05.

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Application Requirements

Language Requirements

CEFR No information
IELTS No information
Cambridge (CAE) No information
TOEFL IBT No information

Applicants must be fluent in German and English. Foreign applicants must demonstrate their abiliy to study in German by submitting one of the following two certificates: DSH-2 or TestDaF 4*4*4*4. Applicants with a German Bachelor Degree do not need to provide proof of their German language skills.

Qualification Requirements

Admission to the M.Sc. in Data Science in Business and Economics requires a Bachelor’s degree in Business Studies or Economics or a comparable degree with excellent grades. Applicants are expected to have a solid intermediate level knowledge in Statistics / Mathematics / Econometrics, Business Administration and Economics. Further, applicants must have experience in writing code in a statistical programming language (preferrably R or Python). Applicants can prove their experience by showing that they have successfully passed modules in their qualifying degree that involve students' writing code (preferrably R or Python), or by providing documents that demonstrate their skills/experience in writing code in a statistical programming language (preferrably R or Python), e.g., part of a B.Sc.-thesis, or by providing other documentation that establishes the applicant's skills/experience in writing code in a statistical programming language (preferrably R or Python)

Document Requirements

A certificate stating that the applicant has successfully completed a first university degree or a certificate (or equivalent documents) providing evidence of the successful completion of at least the year prior to his/her final examination in the equivalent studies. Degree should preferably amount to 180 ECTS. Complete Transcript of Records with a final grade or calculated grade average. The transcript should prove the applicant has solid intermediate knowledge in Statistics / Mathematics / Econometrics Business Administration Economics. Further, applicants must demonstrate their experience in writing code in a statistical programming language (preferrably R or Python). Applicants can prove their experience by showing that they have successfully passed modules in their qualifying degree that involve students' writing code (preferrably R or Python), in this case, applicants must provide detailed descriptions of the relevant courses, or by providing documents that demonstrate their skills/experience in writing code in a statistical programming language (preferrably R or Python), e.g., part of a B.Sc.-thesis, or by providing other documentation that establishes the applicant's skills/experience in writing code in a statistical programming language (preferrably R or Python), e.g. certificates of online learning platforms that offer programming for Data Science courses. In all cases, it is important that applicants provide clear documentation of their skills that allows the selection committee to make an informed assessment. Transcripts of Records containing generic module titles (such as Business Administration I, II and III) should be accompanied by detailed module descriptions.CV in tabular format in English or German. Please provide us with a letter of motivation explaining your reasons for applying for this degree and outlining your qualifications for it. Kindly limit yourself to one page, the letter may be composed either in English or in German.

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University,
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