SRH Fernhochschule - The Mobile University

Technology Distance Learning Business Analytics (M.Sc.)

  • Master of Science (M.Sc.)
  • 2/3/4 Semesters
  • Distance study
  • 60/90/120 ECTS
  • from €579/Month
  • New
  • without NC
  • ACCREDITED
  • state approved

If you’re excited about using cuttingedge data science techniques to tackle real-world challenges, you can seize the opportunity to combine technical skills with business know-how in your academic journey.

  • English
  • monthly intakes / starting on March 1, 2024.
Your programme content

This is what you will learn

There's an incredible global phenomenon unfolding before your eyes: organisations around the world are using cutting-edge data science techniques to tackle real-world challenges.

If you're excited by the promising career prospects this trend offers, you can seize the opportunity to combine technical skills with business know-how in your academic journey. In doing so, you'll be positioning yourself in a high-demand field where skilled professionals are currently in exceedingly high demand.

  • Degree: Master of Science (M.Sc.)
  • Credit points: 60 / 90 / 120 ECTS
  • Standard period of study: 2 / 3 / 4 semesters
  • Language: The programme is taught entirely in English
  • Start of studies: On the first day of each month. Starting March 1, 2024
  • Tuition fees:  From EUR 579 per month (Total cost: EUR 14,475) for 90 ECTS
  • Accreditation: Accredited
  • Certification: submitted for state approval

This degree programme offers an excellent opportunity to upskill or re-skill in the dynamic field of business analytics.

Whether you're looking to enhance your existing qualifications or acquire entirely new skills, the choice is yours. You have the flexibility to tailor your focus beyond the core modules, choosing either the data science track or delving into management topics.

In the first semester, you will build a strong foundation by studying key topics such as data analytics, ML fundamentals, empirical research, data visualisation and Python programming. In the second semester, your journey continues with a deep dive into

— Streaming platforms & NoSQL databases
— Neural Networks and Deep Learning
— Smart ETL pipelines with ML
— And a choice between Business and Strategy or Advanced Data Analytics.

A practical assignment in this semester will allow you to apply your knowledge to a real-world case and build an end-to-end data analytics pipeline. In the third semester, you will further develop your expertise through advanced topics such as MLOps, cloud platforms and business intelligence. You will also have the opportunity to refine your learning direction with a further elective. To put what you've learned into practice, you will complete an industry project or a business analytics project. Finally, your journey culminates in the Master's thesis, which is characterised by a high degree of practical relevance and provides a fitting conclusion to the programme.

Your outlook

Your future in Business Analytics

With this innovative degree, you will bridge a skills gap that has recently become increasingly apparent in the field of business analysis and data science.

You will achieve this by combining technical expertise with a strong grounding in business intelligence. Specifically, your portfolio will include a diverse range of subjects, including machine learning, data management and engineering, storytelling and visualisation, and cloud technologies, complemented by essential areas such as leadership, strategic management and financial management.

After graduating, you'll have a wealth of career opportunities open to you, from a technically adept data scientist to a versatile business analyst. Your skills will play a key role in shaping strategic decisions and improving operational efficiency across a wide range of industries and functions. Armed with deep domain knowledge and exceptional analytical skills, you'll be well-prepared to move into more senior roles, expertly addressing the needs and challenges of today's businesses.

Business Analytics (M.Sc.)

Your curriculum

Your master variants:

90 ECTS
60 ECTS
120 ECTS
3 Semester 90 ECTS
1. Semester
  • Data Analytics - Fundamentals

    6
  • Machine Learning - Fundamentals

    6
  • Data Visualization and Storytelling​

    6
  • Empirical Research

    6
  • Data Science Bootcamp

    6
2. Semester
  • Streaming Platforms and NoSQL Databases

    6
  • Machine Learning - Neural Networks & Deep Learning

    6
  • Data Management and SMART Data

    6
  • Practical Project 1

    6
  • ♥ Elective Module

    6
3. Semester
  • ♥ Elective Module

    6
  • Master Thesis and Colloquium

    24
Admission Requirements for 90 ECTS
Completed university degree or equivalent degree (min. 180 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
  • Basic knowledge of the chosen study programme
  • Motivational interview
Admission Requirements for 90 ECTS
Completed university degree or equivalent degree (min. 210 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
  • Basic knowledge of the chosen study programme
Admission Requirements for 90 ECTS
Completed university degree or equivalent degree (min. 240 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
  • Basic knowledge of the chosen study programme
2 Semester 60 ECTS
1. Semester
  • Streaming Platforms and NoSQL Databases

    6
  • Data Visualization and Storytelling

    6
  • Data Management and SMART Data

    6
  • Empirical Research

    6
  • Data Science Bootcamp

    6
2. Semester
  • Machine Learning - Neural Networks & Deep Learning

    6
  • ♥ Elective Module

    6
  • Master Thesis and Colloquium

    18
Admission Requirements for 60 ECTS
Completed university degree or equivalent degree (min. 180 ECTS)
  • Knowledge of the English language level B1
  • At least two years work experience
  • Basic knowledge of the chosen study programme
  • Aptitude test
Admission Requirements for 60 ECTS
Completed university degree or equivalent degree (min. 210 ECTS)
  • Knowledge of the English language level B1
  • At least two years work experience
  • Basic knowledge of the chosen study programme
  • Motivational interview with the course director
Admission Requirements for 60 ECTS
Completed university degree or equivalent degree (min. 240 ECTS)
  • Knowledge of the English language level B1
  • At least two years work experience
  • Basic knowledge of the chosen study programme
4 Semester 120 ECTS
1. Semester
  • Data Analytics - Fundamentals

    6
  • Machine Learning - Fundamentals

    6
  • Data Visualization and Storytelling​

    6
  • Empirical Research

    6
  • Data Science Bootcamp

    6
2. Semester
  • Streaming Platforms and NoSQL Databases

    6
  • Machine Learning - Neural Networks & Deep Learning

    6
  • Data Management and SMART Data

    6
  • Practical Project 1

    6
  • ♥ Elective Module

    6
3. Semester
  • MLOps and Cloud Platforms

    6
  • Business Intelligence in Enterprises

    6
  • Practical Project 2

    12
  • ♥ Elective Module

    6
4. Semester
  • Master Thesis and Colloquium

    30
Admission Requirements for 120 ECTS
Completed university degree or equivalent degree (min. 180 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
Admission Requirements for 120 ECTS
Completed university degree or equivalent degree (min. 210 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
Admission Requirements for 120 ECTS
Completed university degree or equivalent degree (min. 240 ECTS)
  • Knowledge of the English language level B1
  • At least one year work experience
Information material
Still undecided?

You want to fulfill your dream of studying business analytics but are still undecided? Whatever your plan is, we're here to support you! Learn about the content, perspectives, and specializations of your distance learning program at your own pace. You can easily view your brochure with just a few clicks in our digital letter shop.

Request information
Accreditation & Rankings
Accreditation & Rankings

Our quality standards

You have high aspirations. And so do we. You can rely on the outstanding quality of our programmes. We are one of the few private universities that enjoy permanent state recognition. We are system-accredited – which means that the excellent quality of our degree programmes is guaranteed, as is the recognition of your degree.

The quality seal of the German Accreditation Council acknowledges the high standards of teaching and learning at our distance learning university. Moreover, we are entitled to use our tested quality assurance processes to accredit our degree programmes internally. You can therefore be sure that the degree you take will be up-to-date, application-oriented and methodologically tested. And you can rest assured that we plan, teach and assess according to certified processes.

Meet the most popular distance learning university!
Tuition fees

These are your tuition fees

Your Programme with 60 ECTS

  • Flex 1: 12 monthly instalments à 829 €, totalling 9,948 €
  • Flex 2: 16 monthly instalments à 679 €, totalling 10,864 €*

Your Programme with 90 ECTS

  • Flex 1: 18 monthly instalments à 729 €, totalling 13,122 €
  • Flex 2: 25 monthly instalments à 579 €, totalling 14,475 €*

Your Programme with 120 ECTS

  • Flex 1: 24 monthly instalments à 629 €, totalling 15,096 €
  • Flex 2: 36 monthly instalments à 449 €, totalling 16,164 €*

*Pay less each month for a longer period of time - that's our financing proposal in the Flex 2 model. However, you can still finish your studies within the standard period of study if you wish. You then simply continue to pay after your studies until the total fee has been paid. The Flex 2 option is only bookable with residency in the EU and in Switzerland, Norway, Liechtenstein and the United Kingdom. 

What you can count on with our payment model:

  • You are not required to set the duration of your distance learning programme before you start studying – in fact, you are entirely flexible.
  • You can rest assured that we will support you for up to twice the length of the standard duration of studies – without charging you any additional fees.
  • You will always receive the study materials in digital form.
Application
Ready to get started?

Then register directly online with just a few clicks. Secure your spot in the distance learning program for business analytics.

Apply now
Accreditation & Rankings
Accreditation & Rankings

Our quality standards

You have high aspirations. And so do we. You can rely on the outstanding quality of our programmes. We are one of the few private universities that enjoy permanent state recognition. We are system-accredited – which means that the excellent quality of our degree programmes is guaranteed, as is the recognition of your degree.

The quality seal of the German Accreditation Council acknowledges the high standards of teaching and learning at our distance learning university. Moreover, we are entitled to use our tested quality assurance processes to accredit our degree programmes internally. You can therefore be sure that the degree you take will be up-to-date, application-oriented and methodologically tested. And you can rest assured that we plan, teach and assess according to certified processes.

Meet the most popular distance learning university!
Information material
Still undecided?

You want to fulfill your dream of studying business analytics, but you're still undecided? Then request more information now.

Application
Ready to get started?

Then register directly online with just a few clicks. Secure your spot in the distance learning program for business analytics.

Apply now
Your contact

If you have any questions, our team is happy to help you