Big Data and Business Analytics, M.Sc.
The degree program is oriented towards all company specialists and executives working to establish new spheres of application and involved in project planning and implementation in the field of BI Consulting, Business Analytics, Project Engineering and Information Analysis. You can choose between an extra-occupational track (part-time) with lectures on weekends and a classic full-time study program.
Programme facts
| Degree | Master of Science (M.Sc.) |
|---|---|
| Duration | 4 semesters, 120 ECTS |
| Language of instruction | English |
| Required English | B2 |
| Study mode | Full-Time, Dual Study |
| Start | Summer semester, winter semester |
| Application | Directly to the university |
| Admission | No admission restriction: every eligible applicant is admitted |
| Tuition fee | €790 / month |
Will I get in
Every applicant who meets the formal requirements is admitted — but places can run out before the deadline, so apply at the start of the window.
About the programme
Big Data - of ever greater significance in the corporate environment
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The volume of structured and unstructured data available to companies today both from internal and external data sources is growing rapidly. The objective is to utilize this data for targeted sales pitches, in establishing new business fields and in optimizing corporate processes.
Generating knowledge from data
The aim of the degree program "Big Data and Business Analytics" 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.
Flexible alongside your full-time career - with online support
To accommodate the flexibility requirements of working professionals the extra-occupational track offers classroom teaching modules taking place at regular intervals over a weekend are combined with online e-learning based on live chats, and self-paced e-learning.
NEW SINCE FEBRUARY 2018: PRACTITIONER TALK SERIES
Beginning in February 2018 Representants from external companies with a strong Big Data context are invited to show the latest development of Big Data practices within their respective company during a talk including a follow-up discussion with the students. Key objective of the talk series is to provide the students with the most recent Big Data methodology, applications and trends in various business branches.
What you study
The course is divided into 5-week blocks as is customary at SRH University. It comprises a mix of case studies which become larger and more complex with each semester, and is accompanied by classroom modules, the content of which is directly linked to the case studies. In the first semester, students are taught all the required basic knowledge and methods. The second and third semesters are self-contained units.
The full curriculum and the programme's parameters are part of programme selection: we compare them with your profile.
Pick programmesCareer
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:
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- 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.
Requirements and application
| Previous education | A bachelor's degree in a related field. |
|---|---|
| Language | English B2 — confirmed by a certificate when you apply |
| Application | Directly to the university |
How to get into this programme
- 1Check your certificate and its recognitionDirect admission, a year at a university at home, or Studienkolleg first — this decides the whole plan.
- 2Documents and translationsCertified translations of the certificate and transcript, an APS if required. 3–4 weeks.
- 3Application directly to the universitySend the documents well before the deadline — an incomplete application cannot be completed after it.
- 4Admission, visa, movingPlan 2–3 months for the visa and the blocked account in parallel.