Studyportals Study cover for Big Data and Business Analytics

Big Data and Business Analytics

M.Sc.
24 months
Duration
790 EUR/module
790 EUR/module
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

The Big Data and Business Analytics degree 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.

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Overview

The aim of the degree program Big Data and Business Analytics 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.

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 perspectives

    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 
  • Privacy, Ethics and International Law 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

90 alternative credits

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

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

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 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated 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 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • University Entrance Qualification or Entrance Qualification for Universities of Applied Sciences (for Bachelor degree courses). Check the DAAD online admission database or Anabin to see whether your secondary school leaving certificate is recognized as a qualification for direct university admission in Germany.
  • Bachelor certificate (for Master degree courses)
  • Curriculum Vitae with current photo
  • Certificate of a language proficiency (IELTS, TOEFL, Test DaF or similar) unless entrance qualifications were taken in English or German.

Tuition Fee

  • International

    790 EUR/module
    Tuition Fee
    Based on the original amount of 790 EUR per module and a duration of 24 months.
  • EU/EEA

    790 EUR/module
    Tuition Fee
    Based on the original amount of 790 EUR per module and a duration of 24 months.
  •  €790 / month

Funding

Check the official programme website for information about funding options.

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.

Our partners

Big Data and Business Analytics M.Sc.
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SRH Hochschule Heidelberg

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