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Overview
The aim of the Big Data and Business Analytics program at SRH Hochschule Heidelberg is to ask the right big data questions arising from the specific company context, to identify and analyze the relevant data, and finally to relay the analysis results back to the company in a target-oriented fashion.
What we offer
As a result, apart from technical and statistical tools such as big data architectures, data mining and predictive analytics, the curriculum is also focused largely on creative questioning techniques, visualization, storytelling, ethics and international law. The theoretical knowledge gained is applied and enhanced in a case study which increases in complexity with each semester.
Career
The study course is oriented towards all company specialists and executives with responsibility for establishing new spheres of application and for project planning and implementation in the field of big data und business analytics, such as:
- Specialists with a (business) informatics, mathematics or engineering degree who wish to extend their knowledge in the field of business analytics and/or big data analytics and to take on personal responsibility for the planning and coordination of big data projects.
- Business analysts or specialists who work in the wider sphere of "business intelligence" and wish to extend their knowledge in the field of big data engineering, big data management and/or big data analytics and to take on responsibility for the planning and coordination of big data projects.
Programme Structure
Courses include:
- First Steps Into Case Studies
- Analytics
- Data Engineering
- Data Management
- Data Storytelling and Communication
- Case Studies
- Analytics
- Privacy, Ethics and International Law
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 6.5
TOEFL® IBT 80
Credits
120 ECTS
Delivered
On Campus
Disciplines
Statistics Business Intelligence & Analytics Data Science & Big Data View 17 other Masters in Statistics in GermanyAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 6.5
TOEFL® IBT 80
Other requirements
General requirements
- 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.
- A good knowledge of programming (Python/R)
- IELTS 6.5, TOEFL iBT 80 (SRH TOEFL code: 7712), Duolingo Certificate 95, PTE Academic 58, or other proof of English proficiency
Tuition Fee
To alway see correct tuition fees
-
International
790 EUR/moduleTuition FeeBased on the tuition of 790 EUR per module during 24 months. -
EU/EEA
790 EUR/moduleTuition FeeBased on the tuition of 790 EUR per module during 24 months.
- 790 EUR per month full-time / 720 EUR part-time + one-time registration fee 750 EUR
- Non-EEA countries need to pay registration fee of 1,000 EUR.
Living costs for Heidelberg
922 - 1397 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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