The Berlin School of Business and Innovation (BSBI) is offering an 18-month MSc Data Analytics programme in Germany for graduates and professionals interested in developing careers in data analytics, data science and business intelligence.
Students can study on campus in Berlin or Hamburg, with intakes advertised for February, May and October.
The programme provides practical exposure to programming, statistics, machine learning, big data analytics, SQL, Tableau, computer vision and data visualisation. Students also work on practical projects designed around real-world data challenges.
For international applicants, BSBI additionally advertises German language lessons, career support and guidance covering relocation, legal matters and visas.
BSBI MSc Data Analytics Overview
| Category | Details |
|---|---|
| Institution | Berlin School of Business and Innovation (BSBI) |
| Programme | MSc Data Analytics |
| Country | Germany |
| Study Locations | Berlin and Hamburg |
| Study Mode | On-campus |
| Duration | 18 months |
| Intakes | February, May, October |
| Upcoming Intake Shown | October 2026 |
| Key Areas | Python, Machine Learning, SQL, Statistics, Big Data, Tableau, Computer Vision |
| Minimum Age | 21 |
| Academic Requirement | Bachelor’s degree or equivalent |
| Alternative Route | 3 years of relevant managerial experience may be considered |
| English Requirement | IELTS 6.0 or equivalent |
| Hamburg Fee Shown | €8,943 |
| Berlin Fee Shown | €14,425 |
| German Lessons | Included |
| Visa/Relocation Guidance | Available |
About the MSc Data Analytics Programme
The MSc Data Analytics is an 18-month postgraduate programme delivered on campus at BSBI’s Berlin and Hamburg locations.
It is designed for ambitious graduates and professionals who want to develop the analytical and technical skills needed for careers involving data.
The programme combines theoretical understanding with applied learning, giving students opportunities to work on practical data challenges.
What Will Students Learn?
BSBI identifies several important technical areas covered by the programme.
Students can develop skills across:
- Programming
- Statistics
- Machine learning
- Big data analytics
- SQL
- Tableau
- Computer vision
- Data visualisation
The course uses applied, industry-relevant learning rather than focusing exclusively on academic theory.
These areas are relevant to several modern data-focused career paths.
Python and Machine Learning
Python and machine learning form part of the programme.
The curriculum information specifically identifies Predictive Analytics and Machine Learning using Python as one of the areas of study.
Students interested in moving toward data science and machine-learning careers may therefore gain practical exposure to predictive techniques alongside Python programming.
Fundamentals of Data Analytics
The programme also includes Fundamentals of Data Analytics.
This provides a foundation before students progress into more advanced analytical topics.
The combination of fundamental analytics and predictive machine learning allows students to build their skills progressively rather than approaching advanced techniques without a foundation.
SQL, Tableau and Big Data Analytics
The programme also includes practical development across SQL, Tableau and big data analytics.
SQL remains an important technology for working with structured databases, while Tableau is widely used for business intelligence and data visualisation.
The programme combines these technologies with programming, statistics and machine learning, creating a broader analytics curriculum.
Computer Vision and Data Visualisation
Computer vision is another technical area identified in the programme information.
Students also develop data visualisation capabilities.
This gives the MSc a wider technical scope than programmes concentrating exclusively on traditional statistical analysis or business reporting.
Practical Projects
Students are expected to apply their learning to real-world data challenges through practical projects.
The final stage of the programme is designed to develop advanced analytical, technical and problem-solving abilities.
For students preparing for employment, practical project experience can also provide material that may later be presented in portfolios or discussed during interviews.
Who Is the Programme For?
BSBI describes the MSc as suitable for graduates and professionals who want to build careers in:
- Data analytics
- Data science
- Business intelligence
Because the programme includes programming, statistics, machine learning and database-related skills, it may also be relevant to applicants seeking broader technical capabilities within the data profession.
Admission Requirements
Applicants must meet the programme’s academic requirements.
The source lists:
- Minimum age: 21
- Successful completion of a Bachelor’s degree or equivalent from a recognized university or institution
BSBI also states that applicants with at least three years of relevant managerial experience may be considered if they can demonstrate the ability to study at postgraduate level.
This alternative route should be assessed individually by the institution and should not be interpreted as automatic admission without a bachelor’s degree.
English Language Requirements
Applicants whose circumstances require evidence of English proficiency can meet the stated requirement through several tests.
BSBI lists:
IELTS: 6.0 overall, with at least 5.5 in every band
TOEFL iBT: 80
Pearson Test of English: 59
Duolingo English Test: 105
Applicants should confirm which evidence applies to their circumstances before submitting an application.
Documents Required
The programme information lists several application documents.
Applicants may need:
- High school certificate
- One-page letter of motivation
- CV or résumé
- Recent professional passport-size photograph in colour with a bright background
- Proof of English-language proficiency
- Completed application form
Candidates should prepare these documents early, particularly if they will also need to complete immigration procedures.
Study in Berlin
Students choosing Berlin can study at BSBI’s campus in the historic Alte Post building in Neukölln.
The campus covers approximately 17,000 square metres and includes facilities such as an audiovisual studio, IT laboratory, lounge areas, rooftop access and terraces.
Study in Hamburg
Students can alternatively study in Hamburg.
BSBI’s Hamburg location is based at Otto von Bahrenpark, a historic gasworks site.
The campus has transport connections across Hamburg, including access through major transport points such as Hauptbahnhof, Dammtor, Altona and Harburg.
Programme Duration
The MSc Data Analytics takes:
18 months
This duration is stated for the programme options shown for both study locations.
2026 and 2027 Intakes
BSBI advertises three intake periods:
- February
- May
- October
The enquiry form allows prospective students to indicate intended study years of 2026 or 2027.
The programme details specifically show October 2026 as the next intake for the Berlin and Hamburg options displayed.
Applicants interested in February or May 2027 should confirm current programme availability directly with BSBI.
MSc Data Analytics Fees
The supplied programme page displays different amounts for the two study options.
Hamburg
The displayed amount is:
€8,943
The page also promotes a 38% course-fee saving in connection with the University of Chichester-accredited degree option.
Berlin
The displayed amount is:
€14,425
Because special offers and fee arrangements can change, prospective students should confirm the final amount applicable to their intake before making financial commitments.
Accreditation and Academic Partners
The programme page advertises degree options associated with academic partners.
The Hamburg section refers to a University of Chichester accredited degree, while the Berlin section refers to a UCA accredited degree.
Prospective students should check the exact awarding institution attached to the campus and programme option they select.
Can Students Work While Studying?
The programme page includes “Work while you study” among the benefits and states that classes are typically scheduled to support balance, leaving time for work, internships and life in Berlin or Hamburg.
However, the supplied information does not state the number of hours international students are legally permitted to work.
International applicants should therefore check the rules associated with their individual immigration status rather than relying on the programme page alone.
Free German Lessons
BSBI advertises included German language classes.
These lessons are designed to help students settle into life in Germany and develop greater confidence using German in everyday and professional situations.
This could be particularly useful for international students planning to seek internships or employment in Germany.
Visa, Legal and Relocation Support
International applicants can also access guidance relating to relocation.
BSBI states that students can receive free guidance covering key areas such as:
- Visa support
- Legal support
- Arrival planning
- Practical assistance settling in Berlin or Hamburg
This is guidance and support; the source does not state that admission automatically guarantees a German student visa.
Career Centre Support
BSBI provides access to a dedicated Career Centre.
Support advertised includes:
- CV assistance
- LinkedIn support
- Interview coaching
- Workshops
- Employer engagement opportunities
- Career resources
These services are designed to help students prepare for the employment market alongside their academic studies.
International Student Community
BSBI states that its student community represents more than 114 nationalities.
This international environment may be particularly relevant to applicants moving to Germany from abroad.
About BSBI
Berlin School of Business and Innovation describes its programmes as industry-relevant and focused on practical business skills.
The institution has locations in Berlin, Hamburg, Paris, Barcelona and Madrid and describes itself as an international business school.
Career Paths After Data Analytics Study
BSBI specifically positions the MSc toward careers in:
- Data analytics
- Data science
- Business intelligence
The programme develops technical competencies that are relevant to these fields, but the supplied information does not guarantee employment or a particular salary after graduation.
Why This Programme May Appeal to International Students
Several features make the programme particularly relevant to international applicants.
Students can combine an English-language postgraduate data programme with on-campus study in Germany while accessing German lessons, career services and relocation-related guidance.
The curriculum also covers several highly relevant technical areas rather than focusing exclusively on one analytics tool.
How to Apply
Prospective students can use BSBI’s online application or enquiry process.
Applicants should prepare their required documents, select Berlin or Hamburg, indicate their preferred intake and provide information about their English-language proficiency.
Before paying tuition or making relocation arrangements, applicants should confirm:
- Current programme fees
- Available intake
- Exact awarding university
- Admission eligibility
- Payment arrangements
- Visa requirements applicable to their nationality
Frequently Asked Questions
What is the BSBI MSc Data Analytics?
It is an 18-month postgraduate programme focusing on practical and technical data analytics skills.
Where can I study?
The programme is advertised for on-campus study in Berlin and Hamburg, Germany.
How long does the programme take?
The advertised duration is 18 months.
When are the intakes?
The page advertises February, May and October intakes.
What is the next intake shown?
The programme information identifies October 2026 as the next intake for the options displayed.
What subjects are covered?
The programme covers programming, statistics, machine learning, big data analytics, SQL, Tableau, computer vision and data visualisation.
Is Python included?
Yes. The programme specifically includes Predictive Analytics and Machine Learning using Python.
How much does the programme cost?
The supplied page displays €8,943 for the Hamburg option and €14,425 for the Berlin option. Applicants should verify the final fee applicable to their programme and intake.
What is the minimum age?
Applicants must be at least 21 years old.
Do I need a bachelor’s degree?
The standard requirement is successful completion of a bachelor’s degree or equivalent from a recognized institution. Applicants with at least three years of relevant managerial experience may also be considered.
What IELTS score is required?
The stated requirement is IELTS 6.0 overall with at least 5.5 in every band, or an accepted equivalent.
Does BSBI accept Duolingo?
Yes. The page lists a Duolingo English Test score of 105.
Are German lessons available?
Yes. German language classes are included among the advertised benefits.
Does BSBI provide visa support?
BSBI advertises free guidance relating to visa, legal matters, arrival planning and settling in Germany. This should not be interpreted as a guarantee that a visa application will be approved.
Final Thoughts
The BSBI MSc Data Analytics 2026–2027 provides an opportunity for graduates and professionals to develop practical data skills while studying on campus in Germany.
Over 18 months, students can gain exposure to Python, machine learning, statistics, SQL, Tableau, big data analytics, computer vision and data visualisation, supported by practical projects based on real-world data challenges.
For international students, additional features such as included German lessons, career support and relocation, legal and visa guidance may make the programme particularly worth exploring.
Applicants should carefully compare the Berlin and Hamburg options because the supplied page displays different fees and academic-partner information for the two locations.
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