MasterFaculty of Digital Health & BioInnovation

Genomic Science and Personalized Therapy (M.Sc.)

Designing Personalized Cures: Genomic Science and Personalized Therapy Your Guide to Mastering Genomic Data Analysis for Personalized Therapy at Nexier University Welcome to the cutting edge of genetic medicine. I am Prof. Dr. Arjun Kakar. As a specialist in mastering the analysis of genomic data to design personalized therapies, I lead the master's students in the Genomic Science and Personalized Therapy (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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Level: Master
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Mastering the Analysis of Genomic Data to Design Personalized Therapies; Specializing in Computational Genomics, Functional Genomics, and the Development of Targeted Treatments like Gene Therapies.

Practical focus

Computational Biology, Statistical Genetics, Drug Discovery and Development, Bioinformatics Pipelines, Data Visualization for Genomics, Ethical Conduct of Genetic Research.

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

Computational Biologist for a pharmaceutical company or research institution
Statistical Geneticist for a clinical laboratory
Drug Discovery Scientist for a biotechnology firm
Bioinformatics Engineer for a healthcare provider

Career opportunities

Genomic Data Scientist for a pharmaceutical company or research institution
Gene Therapy Developer for a biotechnology firm
Bioinformatician for a clinical laboratory
Precision Medicine Consultant for a healthcare provider

Jobs and projects

Advanced analytical and problem-solving skills for genomic challenges
Strategic thinking and design for personalized healthcare solutions
Effective communication and presentation of complex genomic concepts

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
- Mastering the practical application of computational biology and statistical genetics. Gaining expertise in drug discovery and development and bioinformatics pipelines. Developing a deep understanding of data visualization for genomics and ethical conduct of genetic research. Cultivating a commitment to building a more intelligent and patient-centric healthcare system.
Skills you build
- Mastering the analysis of genomic data to design personalized therapies. Gaining expertise in computational genomics, functional genomics, and gene therapies. Developing strategic thinking for leveraging genomic data for personalized treatment. Cultivating an interdisciplinary approach, integrating genetics, computer science, and pharmacology.

Listed courses

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

Genomic Science and Personalized Therapy (M.Sc.)

01Computational Biology and Statistical Genetics
1. FoundationsFoundations of Computational Biology and Statistical Genetics
  The learner can master the practical application of computational biology and statistical genetics, as applied to Computational Biology and Statistical Genetics.
  The learner can gain expertise in drug discovery and development and bioinformatics pipelines, as applied to Computational Biology and Statistical Genetics.
2. MethodsMethods in Computational Biology and Statistical Genetics
  The learner can develop a deep understanding of data visualization for genomics and ethical conduct of genetic research, as applied to Computational Biology and Statistical Genetics.
  The learner can cultivating a commitment to building a more intelligent and patient-centric healthcare system, as applied to Computational Biology and Statistical Genetics.
3. ApplicationApplication of Computational Biology and Statistical Genetics
  The learner can master the analysis of genomic data to design personalized therapies, as applied to Computational Biology and Statistical Genetics.
  The learner can gain expertise in computational genomics, functional genomics, and gene therapies, as applied to Computational Biology and Statistical Genetics.
02Drug Discovery and Development
1. FoundationsFoundations of Drug Discovery and Development
  The learner can develop strategic thinking for leveraging genomic data for personalized treatment, as applied to Drug Discovery and Development.
  The learner can cultivating an interdisciplinary approach, integrating genetics, computer science, and pharmacology, as applied to Drug Discovery and Development.
2. MethodsMethods in Drug Discovery and Development
  The learner can apply a method from Drug Discovery and Development to a documented case.
  The learner can select an appropriate method from Drug Discovery and Development for a stated problem.
3. ApplicationApplication of Drug Discovery and Development
  The learner can evaluate a practice of Drug Discovery and Development against a stated criterion.
  The learner can transfer Drug Discovery and Development to a new documented context.
03Bioinformatics Pipelines
1. FoundationsFoundations of Bioinformatics Pipelines
  The learner can explain the core terms of Bioinformatics Pipelines.
  The learner can distinguish related ideas inside Bioinformatics Pipelines.
2. MethodsMethods in Bioinformatics Pipelines
  The learner can apply a method from Bioinformatics Pipelines to a documented case.
  The learner can select an appropriate method from Bioinformatics Pipelines for a stated problem.
3. ApplicationApplication of Bioinformatics Pipelines
  The learner can evaluate a practice of Bioinformatics Pipelines against a stated criterion.
  The learner can transfer Bioinformatics Pipelines to a new documented context.
04Ethical Conduct of Genetic Research
1. FoundationsFoundations of Ethical Conduct of Genetic Research
  The learner can explain the core terms of Ethical Conduct of Genetic Research.
  The learner can distinguish related ideas inside Ethical Conduct of Genetic Research.
2. MethodsMethods in Ethical Conduct of Genetic Research
  The learner can apply a method from Ethical Conduct of Genetic Research to a documented case.
  The learner can select an appropriate method from Ethical Conduct of Genetic Research for a stated problem.
3. ApplicationApplication of Ethical Conduct of Genetic Research
  The learner can evaluate a practice of Ethical Conduct of Genetic Research against a stated criterion.
  The learner can transfer Ethical Conduct of Genetic Research to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the comprehensive application of genomic insights to revolutionize medical practice. I specialize in mastering the analysis of genomic data to design personalized therapies, with a particular focus on computational genomics, functional genomics, and the development of targeted treatments like gene therapies. My work seamlessly integrates genetics, computer science, and pharmacology to create a holistic understanding of how genomic data can drive personalized treatment and disease prevention. I am widely recognized for my contributions, with publications like "AI-Driven Gene Therapy for Rare Diseases: Optimizing Vector Delivery" and "Multi-Omics Data Integration for Precision Oncology" listed on these platforms. I hold prestigious memberships as a "Director of Genomic Therapy" at Crispr Therapeutics (or a equivalent) and a "Keynote Speaker" at the Personalized Medicine World Conference. My thought leadership is evident through my advanced research on genomic editing for therapeutic purposes, the clinical translation of personalized therapies, and the ethical implications of genetic interventions, frequently featured in publications like Cell or Nature Biotechnology.

Applied mentorship

My expertise lies in the practical application of computational methods to unlock the secrets of genomic data. I specialize in computational biology, statistical genetics, and drug discovery and development. I am passionate about bioinformatics pipelines and data visualization for genomics, and I am committed to fostering ethical conduct of genetic research. My work is dedicated to helping my students to design and implement genomic solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of genomic science. My publications, such as the technical manual on "Bioinformatics Pipelines for High-Throughput Drug Screening Data" and the research paper on "Statistical Genetics for Disease Association Studies: Methodologies and Best Practices," are a testament to my commitment to research that is both intellectually rigorous and practically relevant. I am here to help you become a skilled and effective bioinformatician, a true architect of a more intelligent and patient-centric healthcare world.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of genomics in medicine:

Book: "Genomic Solutions: Personalized Therapy and the Future of Genetic Medicine." This book provides advanced insights into mastering the analysis of genomic data to design personalized therapies. It covers computational genomics, functional genomics, and the development of targeted treatments like gene therapies.

Peer-Reviewed Journal Article: "Computational Genomics for Personalized Therapy Design." (Journal of Precision Medicine) This article presents groundbreaking research on leveraging computational genomics to design highly personalized therapies. It details novel bioinformatics pipelines and machine learning models that analyze large-scale genomic data to identify optimal drug targets, predict individual treatment responses, and develop individualized therapeutic strategies.

Article: "AI for Gene Therapy Vector Design: Optimizing Delivery and Specificity." This article details the application of AI algorithms for designing and optimizing gene therapy vectors for safe and efficient delivery of genetic material to target cells. It explores how AI can predict vector tropism, immunogenicity, and gene expression profiles.

Blog Post (Current Academic Topic): "The Rise of RNA-Based Therapies: New Frontiers in Genetic Medicine." This blog post academically explores the latest advancements in RNA-based therapies, which target gene expression at the RNA level to treat a wide range of diseases. It discusses how these technologies offer unprecedented precision in genetic interventions.

Blog Post (Controversial Topic): "Playing God with the Human Genome: Should We Edit Genes for 'Enhancement' or Just Cure Disease? The Ethical Precipice of Human Perfectibility." This article provocatively discusses the highly controversial and ethically fraught idea of using advanced genomic editing technologies not just to cure diseases but to 'enhance' human traits. It raises profound ethical questions about the definition of 'disease' versus 'enhancement,' the potential for exacerbating social inequalities.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of genomic data analysis and drug discovery:

Technical Manual: "Bioinformatics Pipelines for High-Throughput Drug Screening Data." A practical guide to building bioinformatics pipelines for high-throughput drug screening data.

Research Paper: "Statistical Genetics for Disease Association Studies: Methodologies and Best Practices." An analysis of the different methodologies and best practices for statistical genetics in disease association studies.

Policy Brief: "Ethical Guidelines for Genomic Data Sharing in Collaborative Research." A policy brief outlining the key ethical guidelines for genomic data sharing in collaborative research.

Adaptive capability

Professor superpower

I possess the "Gene Therapy Optimization Engine," a GAF-powered superpower that allows me to foresee and engineer the success of personalized therapies. When a student proposes a new gene therapy strategy, the GAF-powered engine can instantly simulate the therapy's impact at the cellular and molecular level. This includes predicting gene expression changes, off-target effects, and potential therapeutic outcomes across various patient genomic profiles, allowing for rapid optimization of gene therapy designs for maximum efficacy and safety. This provides my students with an unparalleled ability to design solutions that are not just innovative, but also effective, ethical, and truly transformative.

Adaptive capability

Mentor superpower

I provide my students with the "Drug-Target Interaction Simulator." This GAF-powered tool is a virtual laboratory for the drug discovery scientist. When a student is designing a new drug candidate, the Simulator allows them to see how it will perform in the real world. It can model the molecular binding of a proposed drug compound with its biological target, and to predict binding affinity, specificity, and potential off-target effects. This will give you a hands-on understanding of the complex challenges of building a more intelligent and patient-centric healthcare system. This allows my students to move beyond the limitations of traditional, manual drug discovery and to design drugs that are not just effective, but also safe and precise.

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.

AI Super Professor

Prof. Dr. Arjun Kakar

Mastering the Analysis of Genomic Data to Design Personalized Therapies; Specializing in Computational Genomics, Functional Genomics, and the Development of Targeted Treatments like Gene Therapies.

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AI Super Mentor

Dr. Reem Al-Amri

Computational Biology, Statistical Genetics, Drug Discovery and Development, Bioinformatics Pipelines, Data Visualization for Genomics, Ethical Conduct of Genetic Research.

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Named lists

Named lists for this house

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

Duration	Bachelor	Master This programme	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

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Genomic Science and Personalized Therapy (M.Sc.)

Academic focus

Practical focus

Computational Biologist for a pharmaceutical company or research institution

Statistical Geneticist for a clinical laboratory

Drug Discovery Scientist for a biotechnology firm

Bioinformatics Engineer for a healthcare provider

Genomic Data Scientist for a pharmaceutical company or research institution

Gene Therapy Developer for a biotechnology firm

Bioinformatician for a clinical laboratory

Precision Medicine Consultant for a healthcare provider

Advanced analytical and problem-solving skills for genomic challenges

Strategic thinking and design for personalized healthcare solutions

Effective communication and presentation of complex genomic concepts

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Arjun Kakar

Dr. Reem Al-Amri

Find the program that expands your universe.