About Course

XU Exponential University

Master in Data Science

The Master's program focuses on elevating students to a master's level of proficiency in Data Science. It covers...

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Fees

EUR

31,600

/total

*These prices are estimated and may vary.

Duration

Method

Location

Intake

Course Level

months

on-campus

Potsdam

Intake

masters

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About this program

Work & Study

In Germany, international students are allowed to work part-time for up to 120 full days or 240 half days in a year. However, students are not allowed to work full-time during their studies. During breaks and holidays, students can work full-time.

Post-Study rights

After completing their studies, students with a Bachelor’s, Master’s, or Ph.D. degree can apply for a Subclass 485 Temporary Graduate visa - Post-Study Work stream. The duration of the visa depends on the degree type and regional factors, but it can be up to 5 years.

Intern/Job-Placement

The institution has a specialized department for internships and professional placement, providing crucial support for students by connecting them to opportunities that propel their careers.

The Master’s program focuses on elevating students to a master’s level of proficiency in Data Science. It covers applied modules in Data Science Fundamentals, Methods, and Computer Science, emphasizing practical skills and predictive analysis. The curriculum explores new technologies like Parallel Computing and Cognitive Computing. Additionally, students enhance Digital Leadership, develop consulting skills, and deepen research methods through practical projects.

Get to know the top 3 benefits of this program

Skill Development

The program offers comprehensive training in data science fundamentals, machine learning, and software development. Practical projects and internships enhance hands-on skills crucial for real-world applications.

Career Opportunities

Diverse specializations (Information Analysis, Business Analysis, Human Interaction/NLP) provide flexibility in choosing varied roles. The high demand for data science professionals across industries ensures numerous career opportunities.

International Exposure and Networking

With an International Summer School and internships, students gain a global perspective. The StudyBeyond concept, allowing work and study, fosters industry connections and immediate application of knowledge.

Meet XU Exponential University

All you need to know about your Student Visa

Click on link to learn more about the requirements and how we can help you get your Student Visa for this course in Germany.

Entry requirements for University

Language Requirements

For admission to all programs, non-native English speakers need a minimum English proficiency of C1 (CEFR), accepted through various certificates such as IELTS (7.0-8.0), TOEFL (iBT 108-120, CBT 263-300, PBT 627-677, ITP Level 1 627-677), Cambridge English (CAE, BEC Higher), IGCSE (average C1), TOEIC (945-990, Speaking 180-200, Writing 180-200), Telc C1 Certificates, and UNIcert III. A final GPA of 2.5 or higher (German grading system) is required, but lower GPAs may be considered with a letter of recommendation. English as the language of instruction during previous studies is also accepted.

Admission Criteria

To enroll in the Data Science M.Sc. program, a minimum of 180 ECTS credits in a relevant field, such as Data Science, Maths, Statistics, Business Informatics, or Computer Sciences, is required. Applicants with diplomas in other fields may be considered, subject to the examination board's evaluation of individual qualifications, including work experience and certificates.