Data Science (B.Sc./B.Eng.)
Hamburger Fern-Hochschule · Hamburg, Germany
QS World University Ranking: N/A
Quick Overview
Apply Now📘 Program Overview
Im staatlich anerkannten Fernstudium Data Science können Sie in 8 Semestern den Bachelor of Science mit 180 CP oder in 9 Semestern den Bachelor of Engineering mit 210 CP erwerben; mit höherem Workload pro Semester ist auch eine Verkürzung auf 6 bzw. 7 Semester möglich.
Der Studiengang vermittelt Techniken und Methoden, um aus großen Datenmengen neue Erkenntnisse zu gewinnen, unter anderem mit statistischen Modellen und Verfahren der Künstlichen Intelligenz, und stärkt gleichzeitig die Projektarbeit in interdisziplinären Teams an der Schnittstelle zwischen Informatik, Statistik und Wirtschaft.
🎯 Course & Curriculum
Course structure
- Wissenschaftliches Arbeiten
- Mathematik 1
- Mathematik 2
- Mathematik 3
- Statistik 1
- Statistik 2
- Wirtschaftsenglisch
- Einführung in die Betriebswirtschaftslehre
- Programmierung 1 (objektorientierte Programmierung)
- Grundlagen der Wirtschaftsinformatik
- Projektmanagement
- Grundlagen der Datenanalyse
- Datenbank systeme
- Business Intelligence & Data Warehousing
- Datenstrukturen & Algorithmen
- Grundlagen der Künstlichen Intelligenz
- Machine Learning
- Wahlpflichtmodule (Data Science and Wirtschaftswissenschaften electives)
- Project Lab 1
- Project Lab 2
- Bachelorarbeit
Curriculum
210 ECTS (Bachelor of Engineering, B.Eng.) study plan and examination structure for HFH Data Science.
| Semester | No. of modules | Module / subject category | ECTS | Semester total |
|---|---|---|---|---|
| Semester 1 | 4 Pflichtmodule | Einführung in die Betriebswirtschaft | 6 | 24 |
| Mathematik 1 | 6 | |||
| Grundlagen der Wirtschaftsinformatik | 6 | |||
| Wissenschaftliches Arbeiten | 6 | |||
| Semester 2 | 4 Pflichtmodule | Datenbanksysteme | 6 | 24 |
| Datenstrukturen & Algorithmen | 6 | |||
| Programmierung 1 | 6 | |||
| Mathematik 2 | 6 | |||
| Semester 3 | 4 Pflichtmodule | Wirtschaftsstatistik | 6 | 24 |
| Mathematik 3 | 6 | |||
| BWL-Wahlpflichtmodul (one module to choose from the published list) | 6 | |||
| Projektmanagement | 6 | |||
| Semester 4 | 4 Pflichtmodule | Wirtschaftsenglisch | 6 | 24 |
| Programmierung 2: Objektorientierte Programmierung | 6 | |||
| Grundlagen der Datenanalyse | 6 | |||
| Datenvisualisierung | 6 | |||
| Semester 5 | 4 Pflichtmodule | Grundlagen der Künstlichen Intelligenz | 6 | 24 |
| Maschinen-/Wirtschaftsinformatik Vertiefung: Grundlagen der (Wirtschafts-)Informatik (module as published in study plan) | 6 | |||
| Business Intelligence & Data Warehousing | 6 | |||
| Machine Learning | 6 | |||
| Semester 6 | 4 Pflichtmodule | Statistik-Vertiefung: Statistik 2 | 6 | 24 |
| Wahlpflichtmodule (pool; published as 2 Wahlpflichtmodule total 18 ECTS across the programme) | 6 | |||
| Wahlpflichtmodule (pool; published as 2 Wahlpflichtmodule total 18 ECTS across the programme) | 6 | |||
| Projektbereich: Project Lab 1 | 6 | |||
| Semester 7 | 3 modules (including thesis preparation/project work) | Projektbereich: Project Lab 2 | 12 | 24 |
| Wahlpflichtmodule (pool; remainder from the 7 Wahlpflichtmodule structure) | 6 | |||
| Hauptpraktikum (integrated for B.Eng.) | 6 | |||
| Semester 8 | 2 modules (final thesis preparation and completion) | Hauptpraktikum (remaining practical CP, integrated in B.Eng.) | 24 | 36 |
| Bachelorarbeit | 12 | |||
| Semester 9 | 1 module (Bachelorarbeit continuation/complete as per published structure) | Bachelorarbeit | 12 | 12 |
| Total | B.Eng. Data Science modules for 210 ECTS including compulsory modules, Wahlpflichtmodule, Project Labs, Hauptpraktikum, and Bachelorarbeit. | 210 ECTS | ||
Career outcomes
- With a Bachelor in Data Science, you are prepared for data-driven roles such as Data Analytics and Business Intelligence, including tasks in data modelling and data architecture.
- You gain practical, applied skills through the Project Labs, so you can explain and present analytics-style projects during interviews.
- Because the program connects statistics, informatics, and business analytics, you are positioned for careers at the interface of technology and decision-making, including data strategy work.
- The curriculum supports problem-solving and project-management abilities, helping you qualify for responsible technical and mid-level leadership functions where data expertise is required.
- You also build a foundation for internal consulting-type functions in organizations, including support roles in departments and smaller project leadership.
- You can enter start-ups, SMEs, and R&D areas in large companies because the program is designed for broad application across industries.
Employability rate
Data Science graduates in Germany typically see an employability rate of around 88% and an unemployment rate of about 12%, reflecting steady hiring needs for analysts and data-focused roles.
Together, these figures suggest a relatively stable outlook when you build practical project experience alongside your studies.
✅ Entry Requirements
Academic qualification
| Requirement | Details |
|---|---|
| Foreign university entrance qualification | International applicants must provide proof of a foreign university entrance qualification for admission to a Bachelor programme, assessed by the HFH for equivalence for applicants with foreign educational documents. |
| Practical placement (Grundpraktikum) | In addition to the general admission route, applicants must prove a Grundpraktikum (practical placement) of 12 weeks (or equivalent practice) for this Bachelor programme, ideally before starting but no later than within the first 18 months of study. |
Module matching by study area
| Study area | Match possible? | Conditions |
|---|---|---|
| Data Science / Computer Science / Information Technology / Engineering foundations | Direct match | Module prerequisites are assessed via your foreign qualification documents during the HFH admissions review. |
Language requirements
HFH does not offer study programmes in English. For this Bachelor programme, you must prove German language skills of at least B2 for admission, and you should also be able to follow module learning materials and assessments delivered in German.
MOI (Medium of Instruction)
MOI waiver details are not published for this programme. See the English test requirements above.
Other accepted proofs
💶 Fees & Funding
| Item | Amount | Notes |
|---|---|---|
| Tuition | EUR 320 / per month | HFH publishes per-month study fees by study duration option. Example shown on the Data Science program page: 8 semesters: 320 EUR per month (15,360 EUR total study fee). |
Proof of financial resources
As a student, you must be able to cover your living costs in Germany. In practice, international applicants are expected to demonstrate sufficient funds using the blocked account requirement published by the German immigration authorities or embassy guidance.
- Blocked account requirement for residence in Germany (amount and evidence method per official German immigration/embassy guidance)
- Proof that you can pay tuition/semester contribution and any other study-related costs as required by the university
Important dates
Application window
| Milestone | July - Summer intake | October - Winter intake |
|---|---|---|
| Application portal opens | January 01, 2026 | January 01, 2026 |
| Application deadline (final submit) | July 31, 2026 | October 31, 2026 |
| Application deadline (EU students) | N/A | N/A |
| Application deadline (Non-EU students) | N/A | N/A |
| Recommended apply-by | N/A | N/A |
| Semester begins | July 01, 2026 | October 01, 2026 |
Pre-application & reviews
| Milestone | July - Summer intake | October - Winter intake |
|---|---|---|
| VPD request - recommended | N/A | N/A |
| VPD result expected | N/A | N/A |
| APS - recommended | N/A | N/A |
| Start eligibility check | N/A | N/A |
Document submission deadlines
| Milestone | July - Summer intake | October - Winter intake |
|---|---|---|
| Application submission deadline | N/A | N/A |
| Document submission deadline (EU students) | N/A | N/A |
| Document submission deadline (Non-EU students) | N/A | N/A |
| Language certificate deadline | N/A | N/A |
| Official transcripts deadline | N/A | N/A |
| Certified translations deadline | N/A | N/A |
| Postal / hard-copy documents deadline | N/A | N/A |
| Missing documents (if requested) | N/A | N/A |
📝 How to Apply
Contact HFH for international document guidance
Before you apply, use the HFH study consultation to confirm how your foreign educational documents will be assessed and what translations/equivalency proof you should prepare. HFH reviews foreign qualifications based on assessments from the Central Office for Foreign Education (ZAB). Start early to ensure you have time for translations if your documents are not already in English, and to prepare any required practical placement evidence.
Prepare language proof and translated documents
For international applicants, you must provide German language proof at least at B2 level. Submit copies of the foreign university entrance qualification and, where required, provide a translation into German by a sworn translator. If you have a certificate of equivalence issued by ZAB or the competent authority, include it in your application package.
Submit your application to HFH
Apply directly via the HFH application route for the programme, and ensure that all required documents are included so your application can be checked and processed. HFH indicates that applicants with foreign qualifications apply directly via the university study advice. Keep your application organised because the admissions team will base decisions on the evaluation of your submitted qualifications.
Plan your Grundpraktikum for admission requirements
Arrange your Grundpraktikum (practical placement) evidence according to the HFH requirement of 12 weeks for this Bachelor programme. HFH notes that it is ideally completed before starting, but it must be proven no later than within the first 18 months of the study period. Include proof of practice when you apply or when requested by the university’s admissions/process steps.