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SRH Heidelberg University
Heidelberg
Big Data & Business Analytics
Subjects: Business Analytics;Data Science;Technology
M.Sc. | Master of Science
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 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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