Program Code
FASASCDOCP01
Units
Min. 120.0 GSCH
Methods of Delivery
On-campus, Online
Modes of Study
¾-time, ½-time
Academic Unit
Faculty of Arts and Sciences
American School of Science
Expected Length
On-Campus Learning (Live, In-Person, Scheduled Sessions at ¾-Time Pace)
Duration: 3.0 Years
Online Learning (Live, Online, Scheduled Sessions at ¾-Time Pace)
Duration: 3.0 Years
Online Learning (Self-Paced, Competency-Based Learning)
Duration: Flexible
Last Update
December 27, 2024
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The Executive Doctor of Philosophy (Executive PhD) in Advanced Computing, Data-Enabled Intelligent Engineering Science, and Operations Research is a terminal research doctorate designed for accomplished professionals, senior technologists, and executive-level innovators who seek to lead the next generation of scientific advancement and systems transformation. This program merges computational science, artificial intelligence, intelligent systems engineering, and decision science into a unified doctoral framework grounded in applied research, high-performance analytics, and real-world impact.
The program’s curriculum is strategically structured to develop mastery across four interrelated domains:
Advanced Computing: Encompassing data science, scientific computation, high-performance algorithms, and deep learning.
Data-Enabled Intelligent Engineering Science: Covering intelligent systems, machine learning, systems engineering, and complex systems modeling.
Mathematical and Computational Foundations: Including applied mathematics, modeling, optimization, and advanced algorithmic methods.
Operations Research and Decision Science: Integrating operations analytics, decision optimization, and AI-driven systems for strategic problem solving.
Candidates engage in a progressive research journey that includes advanced methodology, a comprehensive examination, and a multi-phase dissertation. Under expert supervision, they investigate frontier topics with the aim of delivering innovative, scalable solutions across domains such as aerospace, energy systems, industrial automation, smart infrastructure, and advanced manufacturing.
This Executive PhD is designed for working professionals and global R&D leaders who require flexibility without compromising academic rigor. The program equips candidates with the capacity to synthesize computational intelligence, engineering theory, and operations strategy to address high-impact challenges.
Graduates emerge as scholar-innovators and applied science strategists, capable of leading cross-disciplinary research, advancing enterprise-level innovation, and shaping the future of intelligent systems and data-driven engineering worldwide. The Executive PhD stands as a testament to academic excellence and technical leadership at the highest level.
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Graduates of the Executive Doctor of Philosophy in Advanced Computing, Data-Enabled Intelligent Engineering Science, and Operations Research are equipped with a rare blend of deep technical expertise, advanced research capability, and strategic leadership acumen, positioning them for high-impact roles across academia, government, advanced industry, and global innovation ecosystems. With mastery in computational science, artificial intelligence, intelligent systems, and decision analytics, they are uniquely prepared to lead transformative initiatives, shape future technologies, and influence scientific advancement at the highest levels.
1. Academic and Research Leadership
Professor / Academic Fellow in Computing or Engineering – Teach, supervise doctoral research, and contribute to high-impact publications and academic grant programs.
Director of Research Institutes or Labs – Lead interdisciplinary teams focused on intelligent systems, applied computing, and data-driven engineering.
Principal Investigator (PI) – Direct funded research projects in artificial intelligence, complex systems, and operations research.
2. Advanced Industry and Innovation Leadership
Chief Technology Officer (CTO) – Guide technological innovation, digital transformation, and R&D strategy within global enterprises.
Director of Advanced Computing / AI R&D – Lead applied research in machine learning, predictive analytics, and intelligent systems engineering.
Systems Innovation Architect – Design scalable intelligent infrastructures for aerospace, energy, defense, or manufacturing industries.
Lead Computational Scientist / Algorithm Engineer – Solve mission-critical technical problems using high-performance computing and mathematical modeling.
3. Government and International Scientific Agencies
National Research Program Director – Shape scientific priorities in areas such as AI governance, engineering science, and digital infrastructure.
Strategic Technology Policy Advisor – Advise ministries and regulatory bodies on the deployment of intelligent technologies and critical systems.
Defense Science Analyst / Systems Engineer – Develop secure, intelligent decision systems for national security and defense operations.
4. Consulting and Applied Research Strategy
Senior Scientific Consultant – Provide expert guidance on high-level computational projects, simulation systems, and intelligent automation.
Operations Research Advisor – Optimize strategic planning, resource allocation, and logistics for enterprise and public-sector clients.
Innovation Strategy Partner – Advise executive boards on AI-driven product development and data science integration.
5. Entrepreneurship and Deep Tech Leadership
Founder / CEO of a Deep Tech Startup – Launch ventures focused on advanced computing, intelligent robotics, or decision systems engineering.
Executive-in-Residence at Research Incubators – Mentor emerging tech innovators and lead cross-sector collaborative R&D.
Venture Partner (Tech & Engineering Focus) – Identify and scale high-impact technologies with commercial and societal relevance.
Graduates of this Executive PhD program are not only equipped to advance scientific knowledge and pioneer real-world innovations, but also to lead technological transformation across global systems, ensuring their place among the most influential minds in advanced computing, intelligent engineering, and decision science.
2025–2026 Graduate Fees and Expenses
The 2025-2026 indicative graduate-level fees and expenses:
Application Fee: $100.00
Matriculation Fee: $500.00 (Currently waived)
University Premium Fee: $5,000.00 (Currently waived)
Document Fee: $2,500.00 (Currently waived)
Graduation Fee: $2,500.00 (Currently waived)
Program Withdrawal Fee: $1,000.00 (Currently waived)
Course Late Registration Fee: $1000.00 (Currently waived)
Late Payment Fee: $100.00
Scholarships
AUS offers a diverse portfolio of merit- and need-based scholarships, with awards extending up to 100% of tuition costs. All applicants are automatically considered for scholarship eligibility upon submission of their application, ensuring equitable access without requiring a separate process.
The total indicative flat-rate tuition is currently under review. Please check back later for updated information.
2025–2026 Graduate Tuition Overview
The AUS 2025–2026 tuition policy reflects fairness, transparency, and academic excellence, ensuring predictable investment for a globally diverse student body. All tuition is standardized to eliminate geographic disparities and provide clarity in financial planning.
For this year, the graduate tuition rate is 1,000 USD per Graduate Semester Credit Hour (GSCH), applied uniformly across all programs unless designated under a flat-rate model.
AUS also offers flat-rate tuition for select programs, establishing a fixed fee for the entire degree—supporting affordability, stability, and long-term planning. Programs under this model are clearly identified in admissions materials and enrollment agreements.
This framework upholds four principles: equity, affordability, transparency, and sustainability, ensuring access, predictable costs, clear communication, and uncompromised academic quality.
Through uniform pricing and transparent policies, AUS affirms its mission as a private university delivering exceptional education with fairness, clarity, and enduring value.
Eligibility and Admission Standards for Doctoral Programs
Admission to doctoral study at The American University of Science (AUS) represents the institution’s highest standard of academic, research, and professional excellence. This process ensures that every admitted candidate demonstrates the intellectual rigor, scholarly integrity, and leadership capacity required to advance global knowledge and innovation.
Academic Qualifications – Applicants must hold both an accredited undergraduate degree (minimum 120 credits) and a graduate-level qualification of at least 30 credits from a recognized institution. A minimum cumulative GPA of 3.0 on a 4.3 scale, or international equivalent, is required to ensure readiness for sustained doctoral inquiry.
English Proficiency – Non-native speakers must demonstrate competence at CEFR B2 or higher via IELTS, TOEFL iBT, Cambridge English, or AUS’s proprietary EPASS certification. Documentation must be current within two years.
Research Experience – Candidates should provide evidence of research contributions, such as theses, publications, or collaborative projects. Research-intensive doctorates may require multiple years of senior-level scholarly engagement.
Professional Experience – For applied doctoral pathways, applicants are expected to present 5–10 years of progressive leadership experience, demonstrating strategic decision-making, institutional transformation, and sector-wide impact.
Holistic Evaluation – Admissions integrate academic merit, research aptitude, professional achievement, and global leadership potential, ensuring only candidates capable of publishing, innovating, and transforming institutions are admitted.
ELIGIBILITY AND ADMISSION STANDARDS FOR PROGRAM-SPECIFIC REQUIREMENTS
Admission to programs with specific standards at The American University of Science (AUS) is based on a commitment to academic excellence and professional readiness. Applicants must meet the following criteria to be considered for an unconditional offer of admission, ensuring they are prepared to succeed in their chosen field.
Eligibility Requirements
Academic Qualifications
Applicants must hold an undergraduate and graduate degree in a relevant subject area or an equivalent credential as recognized by AUS.
Experience Preference
Candidates are strongly encouraged to demonstrate:
A minimum of three years of full-time work experience, including at least one year of full-time professional management or executive experience (or the part-time equivalent) acquired post-degree.
Significant exposure to strategic leadership and complex problem-solving in fields relevant to computing, engineering, data science, or operations research.
This experience highlights the applicant’s ability to apply theoretical knowledge to real-world challenges and contributes to a dynamic academic environment.
Research Experience
Candidates are strongly encouraged to present evidence of research proficiency through one of the following rigorous pathways:
Substantial Research Experience (with a minimum of three years of full-time research in a relevant field, demonstrating expertise in:)
Formulating and addressing complex research questions with precision and innovation.
Conducting advanced data analysis and computational modeling to derive actionable insights.
Publishing or presenting research findings in academic journals, professional conferences, or industry forums, showcasing thought leadership and scholarly impact.
Completion of a Master-Level Research Project
Evidence of a comprehensive research project that integrates theoretical frameworks with practical applications.
This project should highlight the ability to tackle multifaceted challenges and contribute to the advancement of knowledge within the chosen field.
Academic, Professional, and Research Proficiency
Satisfy the admission committee’s standards by demonstrating proficiency in academic achievements, professional expertise, or research capabilities, aligning with the program’s rigorous expectations.
Eligibility and Admission Standards for English Language Proficiency
Proficiency in English is a mandatory admission requirement for all programs at The American University of Science (AUS), ensuring academic excellence, global engagement, and uncompromised quality of instruction. Applicants must demonstrate competence through one of four pathways:
Nationality-Based Qualification – Automatic eligibility applies to nationals of AUS-recognized English-speaking countries. Verification requires a valid passport or national ID.
Education-Based Qualification – Undergraduate applicants qualify by completing secondary education in an English-speaking country with English as the sole medium of instruction. Graduate applicants qualify by earning a bachelor’s degree or higher under the same conditions. Official transcripts and institutional verification are required.
Professional Experience-Based Qualification – Applicants may qualify with at least two consecutive years of full-time professional employment in the last ten years in an English-speaking country, where English was the primary language of communication. Employer verification and references are required.
Standardized Assessment – Applicants may meet requirements by achieving CEFR B2 through recognized exams: TOEFL iBT (72), IELTS Academic (6.0), or Cambridge FCE/CAE/CPE (160). Alternatively, candidates may take the AUS EPASS, earning a Certificate of English Language Proficiency (CELP).
All evidence must be dated within two years. AUS reserves the right to request further verification.
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Doctor of Philosophy in Advanced Computational Science and Engineering
The Executive PhD integrates advanced computing, intelligent engineering, and operations research to develop scholar-practitioners who lead applied research, drive innovation, and solve complex problems across global industries.
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