OWWZ.

Data-Driven Biotechnology

M.Sc.Hochschule Biberach · Biberach

At a glance: 5 semesters German and English Part-time alongside work, Part-time Winter semester and Summer semester €14,990 in total

Go to the university’s programme page

hochschule-biberach.de

What will I learn?

Curriculum from the university’s official documents. Evaluated on 18 October 2026.

Semester plan for Berufsbegleitendes Regelstudium – 5 semesters

Semester plan

  1. Semester 118 ECTS requiredData Analytics for Bioprocess Development · Data Mining · Programming for Data Science
    • Data Analytics for Bioprocess DevelopmentSummary by OWWZ: Analyses bioprocess data in Python or R. Data cleaning, time series, feature engineering, machine learning and digital twins support modelling, process monitoring and quality prediction.winter semester onlyExam (in German): Projektportfolio mit Bericht und Präsentation6 ECTS
    • Data MiningSummary by OWWZ: Develops the data mining process from preprocessing to model evaluation. Clustering, classification and association analysis are applied in a team case study.winter semester only6 ECTS
    • Programming for Data ScienceSummary by OWWZ: Programming and data analysis in Python and R: data structures, functional methods, NumPy, Pandas and visualisation. AI tools support practical analysis tasks.winter semester onlyExam (in German): Hausarbeit6 ECTS
  2. Semester 212 ECTS requiredMachine Learning · Upstream Processing (USP), Downstream Processing (DSP) and Process Optimization
    • Machine LearningSummary by OWWZ: Develops regression and classification models, neural networks and supervised, unsupervised and reinforcement learning. Methods are implemented in Python and evaluated for practical use.summer semester only6 ECTS
    • Upstream Processing (USP), Downstream Processing (DSP) and Process OptimizationSummary by OWWZ: Develops cell cultivation, bioreactors, chromatography and other downstream operations. Process analytics, measurement-system assessment and optimisation are applied practically and presented scientifically.summer semester only6 ECTS
  3. Semester 318 ECTS requiredAdvanced Machine Learning · Advanced Statistics · Pharmazeutische Grundlagen & Antikörper-Engineering
    • Advanced Machine LearningSummary by OWWZ: Develops deep learning, recurrent networks, kernel methods and probabilistic models. TensorFlow and Keras implementations support selection, combination and evaluation of advanced learning methods.winter semester onlyExam (in German): Klausur 60 Min.6 ECTS
    • Advanced StatisticsSummary by OWWZ: Develops multivariate and Bayesian statistics, mixture models, expectation maximisation and Markov chain Monte Carlo. Python and R tools apply probabilistic models and statistical analysis.summer semester onlyExam (in German): Klausur 60 Min.6 ECTS
    • Pharmazeutische Grundlagen & Antikörper-EngineeringSummary by OWWZ: Connects pharmacology, toxicology and pharmaceutical technology with immunology and antibody engineering. Covers drug action, formulations and development of therapeutic antibodies and other biopharmaceuticals.summer semester only6 ECTS
  4. Semester 412 ECTS requiredDigitalisierung, Automatisierung und Robotik in der Biotechnologie · Regulatory Data Sciences and Quality
    • Digitalisierung, Automatisierung und Robotik in der BiotechnologieSummary by OWWZ: Connects process balances and digital production with laboratory automation and robotics. Process control systems, sensors, digital twins and validated automation are applied to biopharmaceutical operations.summer semester onlyExam (in German): Unbenotete Protokoll-Übungsaufgabe sowie mündliche Prüfung mit Präsentation 20 Min.6 ECTS
    • Regulatory Data Sciences and QualitySummary by OWWZ: Connects regulatory requirements with data integrity and quality management. Covers GxP, data protection, algorithm validation, risk management and audit preparation and documentation.winter semester onlyExam (in German): Wissenschaftlicher Fachartikel6 ECTS
  5. Semester 530 ECTS requiredMaster-Thesis mit Kolloquium
    • Master-Thesis mit KolloquiumSummary by OWWZ: Independently investigates a substantial data science research problem. The thesis documents analysis and methods; the colloquium explains and defends the approach and results.ThesisExam (in German): Masterthesis und Kolloquium 30 Min.30 ECTS

Topic profile

ECTS by topic from the curriculum’s modules; together at most the programme’s ECTS.RequiredElective

  • Machine learning10 ECTS: 10 required
  • Data science and data analysis9 ECTS: 9 required
  • Biotechnology and bioprocess engineering6 ECTS: 6 required
  • Neural networks and deep learning5 ECTS: 5 required
  • Programming4 ECTS: 4 required
  • Quality management4 ECTS: 4 required
  • Automation engineering2 ECTS: 2 required
  • Data management2 ECTS: 2 required

Curriculum sources

11 modules in the curriculum.

Key facts

Collected automatically from the institution’s website; the institution’s own page is authoritative.

Degree
Master of Science (M.Sc.)Continuing-education master
Standard duration
5 semesters7 semesters part-time
ECTS credits
90 ECTS
Start of studies
Winter semester and Summer semester
Mode of study
Part-time alongside work, Part-time
Teaching language
German and English
Location
Biberach
Tuition fees
€14,990 in total
Semester contribution
€192 per semesterfor all students at the university

Information from hochschule-biberach.de · checked on 18 October 2026

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Application, deadlines and costs

From the official pages and regulations of the university and the state.

Application deadlines

Language requirements

  • German: DSH-2 oder gleichwertig

Researched: 18 October 2026. Deadlines and fees change; the university is authoritative.

Fits these goals

OWWZ guidance based on module topics in the module handbook.

Programmes with a similar curriculum

Similar topic shares according to the module handbooks.

  1. Data-Driven Biotechnology M.Sc.

    Hochschule für Ingenieur- und Wirtschaftswissenschaften Albstadt-Sigmaringen · Biberach an der Riß

    Shared topics: Machine learning, Data science and data analysis, Artificial intelligence, Biotechnology and bioprocess engineering, Neural networks and deep learning

  2. Data Science M.Sc.

    Hochschule Anhalt · Köthen

    Shared topics: Machine learning, Data science and data analysis, Artificial intelligence, Computer science, Programming

  3. Applied AI M.Sc.

    German University of Digital Science · Potsdam

    Shared topics: Machine learning, Artificial intelligence, Data science and data analysis, Computer science, Neural networks and deep learning

  4. Data Science (Research Master) M.Sc.

    Hochschule Bielefeld · Gütersloh

    Shared topics: Data science and data analysis, Machine learning, Computer science, Artificial intelligence, Neural networks and deep learning

  5. Data Science M.Sc.

    Hochschule für Ingenieur- und Wirtschaftswissenschaften Albstadt-Sigmaringen · Albstadt, Mannheim

    Shared topics: Data science and data analysis, Machine learning, Computer science, Artificial intelligence, Programming

Biotechnology elsewhere

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  4. Biotechnologie

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    Hochschule für Technik, Wirtschaft und Medien Offenburg · Offenburg

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  6. Biotechnology

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    Technische Hochschule Mannheim · Mannheim

    3 semesters English Full-time Winter semester and Summer semester Restricted admission No tuition fees for EU students · non-EU: €1,500 per semester

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