Registration Ref: EIAC-PROG-DUKE-006Statutory Full AccreditationEQF Level 7 · FHEQ Level 7

MSc Applied Artificial Intelligence & Autonomous Systems

Duke University
Duke University
Durham, United States
Faculty of Computing, Artificial Intelligence & Data Science
Degree LevelMaster
Academic Credits180 CATS / ECTS
Certified Duration1-2 Years
Delivery ModeBlended & On-Campus

Direct Institutional Link

This academic program is actively delivered and awarded by Duke University. Prospective students and applicants can review faculty bios, tuition schedules, and direct admissions on the official portal.

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Academic Overview & Objectives

MSc Applied Artificial Intelligence & Autonomous Systems awarded by Duke University. Recognized under the statutory quality criteria of the Edinburgh International Accreditation Council, calibrated to Bologna EHEA (EQF Level 7) and UK FHEQ Level 7 standards. The curriculum combines rigorous faculty mentorship, proctored examinations, and an independent capstone research dissertation.

Evaluated Curriculum Scope: The program fulfills all disciplinary competencies mandated by European Higher Education Area (EHEA) standards, incorporating rigorous peer assessment, external moderation, and verifiable transcript documentation.

Qualifications Framework & Bologna Alignment

This qualification is calibrated against the European Qualifications Framework (EQF) and the Framework for Higher Education Qualifications in England, Wales and Northern Ireland (FHEQ), ensuring cross-border recognition and equivalence.

EQF Level7European Framework
UK FHEQLevel 7Honours / Masters Scope
ECTS / CATS180Total Certified Credits

Statutory Verification Guarantees

Independent Faculty & Chair Review
Proctored Final Examination Standards
Verifiable SHA-256 Transcript Security
Cross-Border Credit Transferability (ECTS)

Accredited Curriculum & Syllabi

6 Certified Modules
Stage 1: Core Advanced Systems(3 Modules)
MSC501

Algorithmic Analysis & Scalable Data Structures

15 Credits45 hrs

Rigorous formal study of efficient algorithms, dynamic programming, and computational complexity bounds.

Complexity ProofsAmortised AnalysisGraph AlgorithmsNP-Completeness
MSC502

Distributed Systems & Cloud Architecture

15 Credits45 hrs

Design principles for fault-tolerant, horizontally scalable distributed networks and storage engines.

Consensus (Raft/Paxos)Event-Driven MessagingFault ToleranceCAP Theorem
MSC503

Applied Machine Learning & Neural Modeling

15 Credits45 hrs

Practical and mathematical foundations of modern deep learning, representation learning, and empirical validation.

Supervised LearningDeep TransformersOptimizationModel Evaluation
Stage 2: Specialization & Security(2 Modules)
MSC601

Information Security, Cryptography & Privacy

15 Credits45 hrs

Rigorous treatment of cryptographic primitives, secure enclave computing, and defensive software engineering.

Symmetric/Public-KeyZero-Knowledge ProofsThreat ModelingAudit Protocols
MSC602

Autonomous Agents & Advanced AI Systems

15 Credits45 hrs

Exploration of reinforcement learning, decision-making under uncertainty, and autonomous software agents.

Reinforcement LearningMulti-Agent SystemsMLOps ProductionExplainability
Stage 3: Dissertation & Viva Voce(1 Modules)
MSC699

Master Research Dissertation & Defense

60 Credits120 hrs

An independent, faculty-supervised research thesis and oral examination demonstrating original scholarship.

Literature SynthesisEmpirical EvaluationPeer ReviewViva Voce

EIAC Statutory Accreditation Certificate of Record

This program dossier constitutes an official public extract from the Edinburgh International Accreditation Council statutory register. It confirms that MSc Applied Artificial Intelligence & Autonomous Systems satisfies all criteria for degree-granting excellence under Edinburgh Council Decrees.

RECORD DIGEST:EIAC-PROG-DUKE-006-REG-VALID
REGISTERED BY:Academic Secretariat, Edinburgh
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Duke University
Awarding University

Duke University

Accreditation Ref:EIAC/QA/US/2026/177
Jurisdiction:United States
Founded:1838
Official Portal:www.duke.edu

Accreditation Specifications

Registry Code:EIAC-PROG-DUKE-006
Award Type:Master
Certified Credits:180 CATS/ECTS
Delivery Pathway:Blended & On-Campus
Evaluation Cycle:Annual Statutory Inspection
Digital Seal:SHA-256 Ledger Authenticated

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