Bachelor of Biotechnology & Pharmaceutical Innovation

Annyeonghaseyo! Welcome, future pioneers of bioinnovation. Our mission is to train you to not just understand biology, but to engineer it, building the tools and therapies that will redefine what is possible in medicine.

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Level
Bachelor
Learning model
Professor + Mentor
Named list
See the named lists · 12 months recommended
NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

Biotech Product Design, Pharma AI, Regulatory Sciences, Bioinnovation

02

Practical focus

Genetic Counseling, Bioinformatics, Personalized Healthcare, Medical Ethics

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • Deutsche Bank

    Internships in quantitative finance and risk management

  • The European Central Bank

    Internships in financial stability and economic analysis

Career opportunities

  • Biomedical Engineer

    Designing new medical devices and technologies

  • Medical Robotics Engineer

    Developing robotic systems for surgery

  • Wearable Health Device Designer

    Creating new wearable devices

  • Research Scientist

    In academia or industry

Jobs and projects

  • Problem-Solving

    Applying a systematic approach to healthcare challenges

  • Technical Communication

    Explaining complex medical and technical concepts clearly

  • Ethical Reasoning

    Navigating the ethical challenges of digital health and patient privacy

  • Collaboration

    Working effectively with healthcare professionals, engineers, and data scientists

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • You will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics.
  • Skills you build

    • Health Informatics: Using technology to manage and analyze health data.
    • Telemedicine: Providing remote patient care through technology.
    • AI Health Platforms: Developing AI-driven systems for healthcare.
    • Data Analytics: Interpreting health data to inform decision-making.
Listed courses

Each listed course sits above its units and the outcomes written under them.

Bachelor of Biotechnology & Pharmaceutical Innovation

  1. 01Foundations of Biotechnology
    1. FoundationsFoundations of Foundations of Biotechnology

      The learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Biotechnology.

      The learner can distinguish related ideas inside Foundations of Biotechnology.

    2. MethodsMethods in Foundations of Biotechnology

      The learner can apply a method from Foundations of Biotechnology to a documented case.

      The learner can select an appropriate method from Foundations of Biotechnology for a stated problem.

    3. ApplicationApplication of Foundations of Biotechnology

      The learner can evaluate a practice of Foundations of Biotechnology against a stated criterion.

      The learner can transfer Foundations of Biotechnology to a new documented context.

  2. 02Biotech Product Design and Pharma AI
    1. FoundationsFoundations of Biotech Product Design and Pharma AI

      The learner can explain the core terms of Biotech Product Design and Pharma AI.

      The learner can distinguish related ideas inside Biotech Product Design and Pharma AI.

    2. MethodsMethods in Biotech Product Design and Pharma AI

      The learner can apply a method from Biotech Product Design and Pharma AI to a documented case.

      The learner can select an appropriate method from Biotech Product Design and Pharma AI for a stated problem.

    3. ApplicationApplication of Biotech Product Design and Pharma AI

      The learner can evaluate a practice of Biotech Product Design and Pharma AI against a stated criterion.

      The learner can transfer Biotech Product Design and Pharma AI to a new documented context.

  3. 03Regulatory Sciences and Clinical Trials
    1. FoundationsFoundations of Regulatory Sciences and Clinical Trials

      The learner can explain the core terms of Regulatory Sciences and Clinical Trials.

      The learner can distinguish related ideas inside Regulatory Sciences and Clinical Trials.

    2. MethodsMethods in Regulatory Sciences and Clinical Trials

      The learner can apply a method from Regulatory Sciences and Clinical Trials to a documented case.

      The learner can select an appropriate method from Regulatory Sciences and Clinical Trials for a stated problem.

    3. ApplicationApplication of Regulatory Sciences and Clinical Trials

      The learner can evaluate a practice of Regulatory Sciences and Clinical Trials against a stated criterion.

      The learner can transfer Regulatory Sciences and Clinical Trials to a new documented context.

  4. 04Research Seminar in Biotechnology
    1. FoundationsFoundations of Research Seminar in Biotechnology

      The learner can explain the core terms of Research Seminar in Biotechnology.

      The learner can distinguish related ideas inside Research Seminar in Biotechnology.

    2. MethodsMethods in Research Seminar in Biotechnology

      The learner can apply a method from Research Seminar in Biotechnology to a documented case.

      The learner can select an appropriate method from Research Seminar in Biotechnology for a stated problem.

    3. ApplicationApplication of Research Seminar in Biotechnology

      The learner can evaluate a practice of Research Seminar in Biotechnology against a stated criterion.

      The learner can transfer Research Seminar in Biotechnology to a new documented context.

  5. 05The Ethics of AI in Health
    1. FoundationsFoundations of The Ethics of AI in Health

      The learner can explain the core terms of The Ethics of AI in Health.

      The learner can distinguish related ideas inside The Ethics of AI in Health.

    2. MethodsMethods in The Ethics of AI in Health

      The learner can apply a method from The Ethics of AI in Health to a documented case.

      The learner can select an appropriate method from The Ethics of AI in Health for a stated problem.

    3. ApplicationApplication of The Ethics of AI in Health

      The learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.

      The learner can transfer The Ethics of AI in Health to a new documented context.

  6. 06The Practical Guide to Digital History
    1. FoundationsFoundations of The Practical Guide to Digital History

      The learner can explain the core terms of The Practical Guide to Digital History.

      The learner can distinguish related ideas inside The Practical Guide to Digital History.

    2. MethodsMethods in The Practical Guide to Digital History

      The learner can apply a method from The Practical Guide to Digital History to a documented case.

      The learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.

    3. ApplicationApplication of The Practical Guide to Digital History

      The learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.

      The learner can transfer The Practical Guide to Digital History to a new documented context.

  7. 07Archival Science for Public Policy
    1. FoundationsFoundations of Archival Science for Public Policy

      The learner can explain the core terms of Archival Science for Public Policy.

      The learner can distinguish related ideas inside Archival Science for Public Policy.

    2. MethodsMethods in Archival Science for Public Policy

      The learner can apply a method from Archival Science for Public Policy to a documented case.

      The learner can select an appropriate method from Archival Science for Public Policy for a stated problem.

    3. ApplicationApplication of Archival Science for Public Policy

      The learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.

      The learner can transfer Archival Science for Public Policy to a new documented context.

  8. 08Capstone Project in Historical Analysis
    1. FoundationsFoundations of Capstone Project in Historical Analysis

      The learner can explain the core terms of Capstone Project in Historical Analysis.

      The learner can distinguish related ideas inside Capstone Project in Historical Analysis.

    2. MethodsMethods in Capstone Project in Historical Analysis

      The learner can apply a method from Capstone Project in Historical Analysis to a documented case.

      The learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.

    3. ApplicationApplication of Capstone Project in Historical Analysis

      The learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.

      The learner can transfer Capstone Project in Historical Analysis to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

I am a bioengineer who believes that the next great medical breakthroughs will come from the intersection of biology and technology. My work focuses on designing new biotech products and using AI to accelerate pharmaceutical innovation, from drug discovery to regulatory approval.

Applied mentorship

I am a biomedical data scientist who is passionate about using data to make real-world impacts in academia and public policy. My mentorship focuses on helping students apply their skills to clinical and research problems, turning raw data into actionable insights.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

• Blog Post: 'The Digital Double: How AI Is Reshaping Pharmaceutical Research' - A popular article on the role of AI in accelerating drug discovery and development. · • Blog Post: 'Why Every Biologist Needs to Be a Data Scientist' - Discusses the importance of data science skills in modern biology and medicine. · • Conference Paper: 'A New Framework for AI-Driven Drug Discovery' - Presented at the International Conference on Biotechnology, proposing a new model for using AI to identify new drug candidates. · • Journal Article: 'The Role of Digital Currencies in Cross-Border Payments' - Published in the Journal of Financial Innovation, this paper provides a framework for understanding how digital currencies are changing the global payment system. · • Standard Article: 'The Future of Personalized Medicine in a Data-Driven World' - A multi-part series for a health magazine on how data and AI are transforming personalized medicine. · • Book: 'The Digital Health Handbook: A Guide to Health Informatics' - A comprehensive textbook on the theoretical and practical applications of digital health. · • Total Score: 28/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'The Power of Data Visualization in Public Policy' - A concise article on how data visualization can be used to influence policy decisions. · • Guide: 'A Beginner's Guide to Using R for Historical Data Analysis' - A practical tutorial for new students on the basics of a key bioinformatics programming language. · • Essay: 'Building Ethical AI for Public Policy' - An essay on the challenges and responsibilities of creating AI tools for government. · • Total Score: 28/30 · • Kairos Badge: 🥇

Adaptive capability

Professor superpower

GAF-powered Drug Discovery Simulation

Adaptive capability

Mentor superpower

GAF-powered Clinical Insight Extraction

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

DurationBachelor
This programme
MasterDoctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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