University of Tuebingen M.Sc Data Science in Business and Economics 2025 intake:- fees, deadlines, entry requirements, etc.

Tubingen, Baden-WurttembergLocation
UniversitySchool type
Estd1477established year
28743enrollment
Public
7.0/10

Master of Science [M.Sc] (Data Science in Business and Economics)

2 years
Full Time
On Campus

$3,540 /Yr

€3,000 /Yr

Tuition Fees

Year1st Year Fees
Tuition Fees$3540 (EUR 3000)

Other Expenses

HeadAvg Cost Per Year
Accommodation cost$4899 (EUR 4152)
Health Insurance$1841 (EUR 1560)

Fees Per Credit:- 50

Previous Year Tuition Fees

Year1st Year Fees
2022$3540 (EUR 3000)

Important Dates

EventApplication Date
Application Deadline For Winter 2025 Intake Mar 1, 2024 - Jul 15, 2025
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Content Curator | Updated 3+ months ago

M.Sc Data Science in Business and Economics from University of Tuebingen Overview

M.Sc Data Science in Business and Economics is a 2 year program offered at the Faculty of Economics and Social Sciences. University of Tuebingen accepts IELTS, TOEFL English Proficiency Score. The M.Sc. in Data Science in Business and Economics at the University of Tübingen focuses on econometrics, machine learning, and business analytics. Graduates typically earn around €60,000 (INR 54,00,000) annually and work as data scientists, business analysts, and AI consultants across various industries.

M.Sc Data Science in Business and Economics from University of Tuebingen Fees

The total Annual Fees of University of Tuebingen is 9,112 which include Tuition Fees is 3,000, 1,560 as Health Insurance, 400 as Semester Fees and 4,152 as Accommodation cost.

M.Sc Data Science in Business and Economics from University of Tuebingen Dates

Application Deadline For Winter 2025 Intake is 15-07-2025.

M.Sc Data Science in Business and Economics from University of Tuebingen Module

M.Sc Data Science in Business and Economics follows the following module:

Semester

Modules

Semester 1

- Core Modules in Econometrics and Statistics

- Introduction to Data Science Techniques (e.g., Algorithms, Basics of Machine Learning)

- Elective Courses in Business and Economics

Semester 2

- Advanced Econometrics Modules

- Specialized Data Science Techniques (e.g., Deep Learning, Causal Inference)

- Elective Courses in Business and Economics

Semester 3

- Data Science Project (12 ECTS)

- Advanced Topics in Data Science and Economics (9 ECTS)

- Elective Courses or Further Specialization Modules

Semester 4

- Master Thesis (30 ECTS)


Scores Required

6.5 / 9

Avg. Score in

IELTS

79 / 120

Avg. Score in

TOEFL

120

ECTS Credits



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