24 months
Duration
10480 EUR/year
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

The Big Data and Business Analytics program at SRH Hochschule Heidelberg 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. 

Visit the official programme website for more information

Overview

You can choose between an extra-occupational track (part-time) with lectures on weekends and a classic full-time study program.

Big Data - of ever greater significance in the corporate environment

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.

Career

The study Big Data and Business Analytics program at  SRH Hochschule Heidelberg 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
  • Part-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

90 alternative credits

90 (extra-occupational) / 120 (full-time)

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
80
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • extra-occupational / part-time: bachelor degree with 210 ECTS credit points in computer science, business informatics or a related field and a minimum of one year qualified and subject-relevant professional experience in one of the following areas: IT, marketing, logistics, production or finance. If you have gained a bachelor degree with 180 ECTS credit points
  • full-time: bachelor degree with 180 ECTS credit points in computer science, business informatics or a related field and a minimum of one year qualified and subject-relevant professional experience in one of the following areas: IT, marketing, logistics, production or finance.

Work experience

You can make up for the missing credit points and qualifications if you can provide proof of several years of work experience or completed further training courses.

Tuition Fee

  • International

    10480 EUR/year
    Tuition Fee
    Based on the original amount of 10480 EUR per year and a duration of 24 months.
  • 1 st year € 10,480  (includes reg.fee) 
  • 2 nd year € 9,480 
  • 720 EUR per month part-time / 790 EUR per month full-time + one-time registration fee of 750 EUR

  • Applicants from countries with a visa obligation need to pay a one-time registration fee of 1,000 EUR and must pay the first year’s tuition fee in advance.

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.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Our partners

Big Data and Business Analytics
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SRH Hochschule Heidelberg

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