M.Sc.Big Data and Business Analytics
| Study location | Germany, Heidelberg |
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| Type | Master, full-time |
| Nominal duration | 24 months (120 ECTS) |
| Study language | English |
| Awards | M.Sc. (Master of Science in Big Data and Business Analytics) |
| Course code | HD-M03 |
| Accreditation | 2017 |
| Tuition fee | €9,480 per year |
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| Registration fee | €1,000 one-time Registration Fee is non-refundable |
| Entry qualification | Undergraduate degree (Bachelor's degree or higher) A Bachelor’s degree with 180 ETCS points in Computer Science, Business Informatics, Data Science or a related field, and at least one year of qualified and subject-relevant professional experience in IT, data science, data analytics, marketing, logistics, production or finance. The entry qualification documents are accepted in the following languages: English / German. ⠀ Dear Applicant, Please be sure to bring your original entry qualification and other supporting documents with you when arriving on the SRH campus. |
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| Language requirements | English |
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| Other requirements | A good knowledge of programming (Python/R) |
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| More information |
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Overview
Big data – the amount of data available to companies today is growing rapidly. In this Master’s programme, you’ll learn the whole data science process, from data collection to data storytelling.
Programme structure
1. Semester
- First Steps to Case Studies
- Data Analytics I
- Data-Engineering I
- Data-Management I
- Data-Storytelling & Communication I
- Big Data Programming 1
2. Semester
- Case Study I
- Data Analytics II
- Data-Engineering II
- Data-Storytelling and Communication II
- Privacy, Ethics, and International Law
3. Semester
- Elective Module: Case Study II/Internship
- Data-Management II
- Data Analytics III
- Data Storytelling & Communication III
- Big Data Programming II
4. Semester
- Privacy, Ethics, and International Law
- Master’s Thesis Project
Career opportunities
Specialists with a (business) informatics, mathematics or engineering degree who wish to extend their knowledge of business analytics and/or big data analytics, and take on personal responsibility for planning and coordinating big data projects.
Business analysts or specialists engaged in the wider sphere of “business intelligence” who wish to extend their knowledge of big data engineering, big data management and/or big data analytics, and take on responsibility for planning and coordinating big data projects.