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SRH Berlin School of Design and Communication

Heidelberg

Big Data & Business Analytics

Subjects: Business Analytics;Data Science;Technology

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
1000 EUR

💶  Cost per Semester
No information

💶  Tuition Fees per Semester
4,740 EUR
⏱️ Application Deadline Summer
Application always possible

⏱️ Application Deadline Winter
Application always possible

Course description

The amount of data available to companies is growing rapidly. On the Master's in Big Data and Business Analytics, you will learn how to harness this data to establish new business areas. In the first semester, we provide you with all the necessary basic knowledge and methods. From the second semester onwards, you will experience a balanced mix of theory and practice. In specialist courses, we build a theoretical framework that you can apply directly in context. Each semester, we dive into case studies, which become larger and more complex as the course progresses. This hands-on approach ensures you can apply what you learn in real-world scenarios. Our program is designed to equip you with the skills needed to navigate the data-driven landscape confidently. Join us to transform data into actionable insights and drive business innovation.

Program Information

Study Location Heidelberg
Start Semester Summer, Winter
Study Form Full-time
Study Type Postgraduate
Teaching Language English
Dual No
Remote No
Application Fee non-EU 1000 EUR
Study Length 4 Semesters
Tuition Fees per Semester 4,740 EUR
Cost per Semester No information
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
Application always possible
⏱️ Application Start Winter
Application always possible

⏱️ Application Deadline Winter
Application always possible

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Application Requirements

Language Requirements

CEFR No information
IELTS 6.5
Cambridge (CAE) No information
TOEFL IBT 80

The students need to be capable of following an English-language course and understanding English- language professional literature. The proficiency of the English language has to be proven through a passed TOEFL test of at least 80 points, IELTS (6.5), Duolingo (110), MOI (Medium of Instruction letter)

Qualification Requirements

First degree (i.e. first degree qualifying for a profession) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Informatics awarded with 180 CPs. English Proficiency Proof: The students need to be capable of following an English-language course and understanding English- language professional literature. The proficiency of the English language has to be proven through a passed TOEFL test of at least 80 points, IELTS (6.5), Duolingo (110), MOI (Medium of Instruction letter) Knowledge of machine learning, natural language processing, data warehousing, statistics, data management, data mining is desired Programming experience with Python, R is a plus

Application Process

Acceptance Interview No
Acceptance local admission restrictions Admission Exam
Application directly at the University
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