UC2 - Master's Degree in Continuing Education in AI-Driven Human Performance & Longevity Architecture (Application & Verification)
Master's in AI-Driven Human Performance & Longevity Architecture
The world's first degree dedicated to Blueprint-style systems, synthetic multi-omics, and the non-clinical governance of AI health optimization.
Designed For
Graduates Receive Two Distinct Sets of Credentials
The Master's Degree
Master's Degree in Continuing Education in AI-Driven Human Performance & Longevity Architecture
(Máster de Formación Permanente / Título Propio · 60 ECTS)
Issued directly by UCAM — ANECA-accredited, QS Stars ranked, within the ECTS/EHEA framework.
The Professional Portfolio
10 Accredited RSIT™ Professional Certifications
(Higher University Courses / CSU)
Individually verified on the blockchain for immediate professional use across longevity tech, corporate wellness, and health AI governance roles.
Patent-Protected Infrastructure
Agentic Accreditation Engine™
Credit conversion and certification recognition powered by RSIT's Agentic Accreditation Engine™ (Patent Pending, U.S. Provisional No. 63/923,625) — automating credential verification and academic portfolio validation.
The Architecture
A 10-Designation Portfolio combining Hard Data Science with Applied Human Optimization — 9 specialist certifications (each a Higher University Course / CSU) across two phases, plus a Master's Thesis (TFM), for a total of 60 ECTS.
Phase 1: The Data & Science Core
Trains professionals to analyze multi-omic biomarkers, validate aging clocks, and simulate human health trajectories using digital twins.
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- Modeling the Biology of Aging
- Architecting Multi-Omic Data Pipelines
- Epigenetic & Proteomic Aging Clocks
- Digital Biomarkers from Sensor Data
- Ensemble Models & Multi-Modal Fusion
- Digital Twins: Simulating Trajectories
- NIST AI Risk Management Framework
- Interoperability (FHIR & OMOP)
- MLOps for Longevity
- Communicating Risk Reports
- Capstone: Novel Biomarker Platform
Navigating the FDA guidance for biomarkers, designing decentralized trials, and modeling the economic value of healthspan interventions.
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- Geroscience Endpoints & Clinical Trials
- Designing AI-Augmented Trials
- Remote Data Capture Strategy
- Regulatory Playbook (Pre-IND to Market)
- Patient-Focused Drug Development
- Health Economics & Value Narrative
- Risk & Governance in Trials
- Real-World Evidence (RWE)
- AI Ethics in Clinical R&D
- Global Regulatory Strategy
- Capstone: Integrated Development Plan
Analyzing strategies for AI-driven drug discovery, senolytics, and cellular reprogramming safety engineering.
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- Biology of Cellular Senescence
- AI in Drug Discovery & Generative Chem
- Science of Epigenetic Reprogramming
- Safety by Design (Gene Therapies)
- Preclinical Safety & Toxicology
- Modeling ADMET & In-Silico Triage
- Biomarker Strategy for Proof-of-Concept
- CMC Strategy for Advanced Therapeutics
- First-in-Human Trial Design
- Ethical Frameworks for Augmentation
- Capstone: Preclinical Development Plan
Designing AI-driven longevity clinics, consumer healthspan products, and aging-in-place robotics systems.
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- The Longevity Clinic Blueprint
- Product Management for Healthspan
- Secure & Interoperable Data Platforms
- Nutritional Geroscience & Microbiome
- Robotics for Aging-in-Place
- Human-Robot Interaction
- Clinical Decision Support (CDS)
- Patient Experience & Digital Front Door
- Equity & Access in Longevity
- Value-Based Care & Reimbursement
- Capstone: Strategic Care Service Plan
The "founder's track." Analyzing market opportunities, venture-backable models, and funding strategies for longevity.
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- Mapping the Longevity Economy
- Venture Design & Regulatory Fit
- Unit Economics & Go-to-Market
- Capital Strategy (Grants vs. VC)
- Evidence Roadmap & De-Risking
- Data & IP Strategy
- Team Architecture
- AI Governance as Strategic Asset
- The Investor Narrative
- Operating Cadence (OKRs)
- Capstone: Venture Brief
Phase 2: Applied Human Architecture (Non-Clinical)
Non-clinical preventive intelligence, risk-pattern analysis, and AI-driven lifestyle architecture without laboratory data.
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- Foundations of Preventiveomics
- Synthetic Multi-Omic Modeling
- Lifestyle Risk Pattern Recognition
- Non-Clinical Biomarker Proxies
- Preventive Dashboards
- Early Pattern Detection Engines
- Synthetic Population Modeling
- Non-Clinical Boundary Management
- Preventive Protocol Engineering
- Commercial Applications
- Capstone: Preventive Intelligence Engine
Non-clinical cognitive longevity architecture, behavioral neuro-optimization, and Blueprint-style mental load regulation.
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- Cognitive Longevity Foundations
- Synthetic Cognitive Biomarkers
- Neuro-Behavioral Rhythm Architecture
- Stress Modulation & Resilience
- Memory Enhancement Protocols
- Mental Recovery & Rest Cycles
- AI-Assisted Cognitive Logic
- Ethical Restrictions & Guardrails
- Cognitive Protocol Engineering
- Workforce Brain Health
- Capstone: Cognitive Optimization Engine
Regenerative strategy design, rejuvenation modeling using synthetic inputs, and Blueprint-inspired recovery routines.
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- Regenerative Strategy Concepts
- Synthetic Rejuvenation Indicators
- Regenerative Rhythm Architecture
- Anti-Fatigue Behavioral Systems
- Rejuvenation Pattern Detection
- Non-Clinical Load Balancing
- Protocol Engineering & Sequencing
- Rejuvenation Safety Constraints
- AI-Assisted Personalization
- Corporate Recovery Applications
- Capstone: Regenerative Strategy Engine
Design algorithmic lifestyle optimization systems using Blueprint-inspired protocol architectures and AI-driven health logic.
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- Integrated Longevity Foundations
- Synthetic Homeostasis Indicators
- Circadian–Organ Synchrony
- Systemic Stress Modulation
- System Rhythm Mapping
- AI Systemic Insight Engines
- Organ-Supportive Behavioral Arch
- Non-Clinical Organ Health Guardrails
- Systemic Protocol Engineering
- Population Homeostasis Modeling
- Capstone: Systemic Longevity Engine
Upon completing all 9 designations, candidates produce and defend an original Master's Thesis (TFM) — an applied research contribution to AI-driven longevity architecture, non-clinical health optimization governance, or algorithmic health systems design — supervised by UCAM faculty.
Program Enrollment
🔒 Mandatory Admission Requirement
To receive the Master's Degree in Continuing Education / Máster de Formación Permanente (Título Propio) from UCAM, applicants must hold a valid Bachelor's Degree / Licenciatura (or international equivalent). Students without a degree may take the certifications individually but cannot be awarded the University Master's title.
12–24 Months (Maximum).
Recommended Pace: 4–6 weeks per certification.
Extension: If unfinished after 2 years, students may request a 12-month extension at a 5% surcharge/month. Academic candidacy terminates at end of Year 3.
Certifications: Applied project assessments.
TFM: Formal academic defense supervised by UCAM faculty.
It is the sole responsibility of the student to verify the validity and recognition of these credentials in their specific country, employer, or local jurisdiction prior to enrollment. Sherman Pathways accepts no liability for third-party recognition decisions.
- 🎓 Financial Aid & Scholarships
- 🏢 Enterprise & Team Cohort Rates
- 💳 Flexible Payment Installments
For students who require maximum financial flexibility or wish to pay per certification, UCAM offers a "Pay-As-You-Go" Modular Path.
Have you already completed the 10 required RSIT certifications independently? Students who hold all 10 verified certifications may apply to convert their portfolio into the Master's Degree in Continuing Education / Máster de Formación Permanente (Título Propio) upon payment of a Degree Conversion & Matriculation Fee (€1,500), subject to academic validation.
Contact Admissions to verify eligibility →Already enrolled?
If you have received your Payment Confirmation, you must proceed immediately to the central registry to upload your ID and Degree for validation.
⚠ EU AI Act Full Enforcement: August 2, 2026
AI systems used in health monitoring, risk prediction, and algorithmic health optimization are among the most scrutinized categories under the EU AI Act — with potential high-risk classification for systems that influence health-related decisions even in non-clinical contexts. UCAM is an ANECA-accredited Spanish university operating within the EHEA framework, making graduates of this program directly qualified to lead EU AI Act compliance programs for longevity technology platforms, corporate wellness AI systems, and health-adjacent AI governance programs ahead of the August 2026 enforcement deadline.
Enterprise & Cohort Pricing →
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UC2 - Master's Degree in Continuing Education in AI-Driven Human Performance & Longevity Architecture (Application & Verification)