Big Data & Business Analytics

  • Master of Science (M.Sc.)
  • 4 Semesters
  • Full time
  • 120 ECTS
  • €790/Month

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.

  • English
  • summer and winter semester
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Your course content
What you will learn

The programme comprises in-depth knowledge and understanding of the complete data science process. You will learn how to apply analytical or machine learning/deep learning techniques to solve complex data problems. The data storytelling and communication part of this programme will enable to leverage the data to reveal valuable insights to the stakeholders for decision making.

This programme is designed in a way that it becomes more extensive and complex from semester to semester. In the first semester, you’ll gain a solid grounding in theory and practice. The second and third semesters are self-contained units. All modules combine theory and practice: The theoretical and practical knowledge gained is applied and enhanced in different case studies that become increasingly complex as your study progress. 

Apart from technical and statistical tools such as big data architectures, data mining and predictive analytics, the curriculum also focuses primarily on creative questioning techniques, visualisation, storytelling, ethics, and international law. 

Business proximity
The aim of the degree programme in Big Data & Business Analytics is to ask the right big data questions arising from the specific company context, to identify and analyse the relevant data, and finally to relay the analysis results back to the company in a target-oriented fashion.

Your career prospects
Our innovative approach that pays off

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.

Open Days Ask the Dean: Info session - February

Join the faculties, International Office, and Admission Office in an online live session about the upcoming semester!

Open Days Ask the Dean: Info session - March

Join the faculties, International Office, and Admission Office in an online live session about the upcoming semester!

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Curriculum Big Data & Business Analytics (M.Sc.) Your curriculum

4 Semester 120 ECTS
1. Semester
  • First Steps to Case Studies 5
  • Data Analytics I 8
  • Data-Engineering I 5
  • Data-Management I 4
  • Data-Storytelling & Communication I 2
  • Big Data Programming 1 6
2. Semester
  • Case Study I 8
  • Data Analytics II 7
  • Data-Engineering II 6
  • Data-Storytelling and Communication II 6
  • Privacy, Ethics, and International Law 3
3. Semester
  • Elective Module: Case Study II/Internship 8
  • Data-Management II 4
  • Data Analytics III 8
  • Data Storytelling & Communication III 4
  • Big Data Programming II 6
4. Semester
  • Privacy, Ethics, and International Law 4
  • Master’s Thesis Project 26
Programme concept
Programme concept

6-step Process of Data Science

Big data analytics goes far beyond simple data analysis: it will be essential to solving the economic challenges of the future. As you all know that the amount of data available today is growing rapidly. In this master's program, you will learn the complete data science process from data collection to data storytelling. In applying state-of-the-art methods to solve real-world business problems you will become successful practitioners in the field.

The challenging transition of becoming a student after working in a corporate setup was made smooth with this course. The course provides necessary data driven approaches to tackle real world problems. It opens the door to ample of opportunities.

Srishti Ganguly, Big Data & Business Analytics (M.Sc.)

The standout feature of this course at SRH Heidelberg University is the level of practical work involved in the modules, seminars, and thesis. I highly recommend this program to anyone who is looking for an opportunity in data analytics.

Sripada Pradhan, Big Data & Business Analytics (M.Sc.)

Admission requirements
Our 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

Fees and Funding
Your tuition fees

790 EUR per month full-time / 720 EUR per month part-time + one-time registration fee of 750 EUR

Applicants from Non-EEA countries without permanent residence permit need to pay a one-time registration fee of 1,000 EUR and must pay the first year’s tuition fee in advance. From the second year onwards the payments for the remaining years of study are due three months before the end of the period of study already paid for.

For more information and payment modalities, please refer to the current fee schedule (valid from 01.12.2020).

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Application process and deadlines

We look forward to welcoming you to SRH University Heidelberg very soon.
There are no closing dates for application at our University. This is the application process:

  • If you’re interested in our Master’s programme, simply send us your application online.
  • If you encounter technical difficulties with the online application or have any questions about your application, your contact person Marie Blache will be happy to help you.
  • If you meet the admission requirements, we’ll invite you to a selection interview
  • If you pass the selection interview, we’ll send you the acceptance letter and the study contract
  • You then sign the study contract and return it to us
  • You pay the registration fee
  • If you come from a non-EU country, you will pay your tuition fee one year in advance in addition to the registration fee. Further payments from the second year onwards are due three months before the period of study ends that you have already paid for.
  • We then issue your letter of acceptance
  • You take part in our Welcome Days – and then embark on your degree programme!
Your way into the future

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