Overview

Doctorate of Philosophy (PHD) Islamic Frameworks for Sustainability and Digitalisation

Duration: 3–4 Years Full-Time
Level: FHEQ Level 8 (Doctoral)
Credit Framework: Not typically credit-rated (aligned to 360 UK credits where applicable)
ECTS Equivalent: 180–240 ECTS
Mode of Delivery: Hybrid (Online/Onsite at different locations across the world)

Overview

The Doctorate of Philosophy (PhD) in Islamic Frameworks for Sustainable Development in the Digital Age (PhD IFSDDA), developed for LISD, is an advanced research programme designed to equip scholars and professionals with the intellectual and analytical capabilities required to address contemporary sustainability challenges through the lens of Islamic thought in an increasingly digitalised world.

While the programme is grounded in a global context, it places particular emphasis on the integration of Islamic ethical, economic, and social principles with emerging digital transformation agendas. It critically examines how Islamic frameworks can contribute to sustainable development (SD) across diverse sectors, including governance, finance, technology, education, and social innovation.

The programme offers a rigorous and systematic exploration of the intersection between Islamic values and key dimensions of SD, such as environmental stewardship, social justice, economic equity, and responsible innovation. It further investigates the implications of digital transformation—including artificial intelligence, data governance, and digital economies-on sustainability practices within both Muslim-majority and global contexts.

In addition, the programme provides a comprehensive understanding of contemporary sustainability discourses, including global development frameworks such as those advanced by the United Nations (UN), while critically evaluating their alignment with Islamic perspectives. It encourages original research that contributes to policy development, organisational strategy, and ethical governance in the digital age.

Through independent and supervised research, candidates will develop advanced methodological expertise and produce original contributions to knowledge. Graduates will emerge as highly skilled researchers, policy advisors, and thought leaders, capable of bridging traditional Islamic scholarship with modern sustainability challenges and digital innovation. They will be well-positioned to contribute to academia, international organisations, public policy, and industry, promoting inclusive and SD for the benefit of global society.

A One of-a-Kind Initiative

The PhD IFSDDA is an advanced research programme that equips scholars and professionals to address sustainability challenges through Islamic ethical, legal, and socio-economic perspectives within a digitally transforming global context.
The programme enables candidates to critically engage with global sustainability agendas, including those advanced by the UN, by examining their foundations alongside Islamic principles of justice, stewardship, and collective wellbeing. It explores how these principles can inform more inclusive, equitable, and ethically grounded development in the digital era.
Adopting both horizontal (global frameworks and multi-stakeholder engagement) and vertical (governance structures and institutional relationships) perspectives, the programme provides a structured understanding of SD and digital transformation (DT).

Through interdisciplinary and applied research, candidates will investigate key areas such as digital governance, artificial intelligence (AI), Islamic finance, environmental sustainability, and social innovation. The programme emphasises the integration of classical Islamic scholarship with contemporary policy and technological developments.

Graduates will produce original research and emerge as skilled researchers and thought leaders, capable of contributing to policy, academia, and practice in advancing SD through Islamic frameworks in a digital age.

Related Sustainable Development Goals

Related Courses

Location

London Institute of Sustainable Development (LISD), London, United Kingdom

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Country/Regions

Europe
UK

Social Networks

Related Sustainable Development Goals

What will you learn

Learning Outcomes

Demonstrate originality in research and make a significant contribution to knowledge in Islamic frameworks and SD.
Critically integrate Islamic principles with contemporary sustainability and DT discourses.
Address complex global challenges using interdisciplinary and ethically informed approaches.
Produce high-quality doctoral research that meets international academic and professional standards.
Contribute to policy, practice, and scholarly debates in sustainability, ethics, and digital innovation.
Exhibit autonomy, integrity, and leadership in academic and professional contexts.

Knowledge and Understanding

Critically evaluate Islamic frameworks for SD in a digital context.
Analyse global sustainability agendas and their alignment with Islamic principles.
Demonstrate advanced knowledge of DT and its societal impacts.

Cognitive, Intellectual or Thinking Skills

Synthesise interdisciplinary perspectives to address complex sustainability challenges.
Critically assess policies, frameworks, and ethical implications of digital innovation.
Formulate original research questions and theoretical contributions.

Practical, Professional or Subject-specific Skills

Design and conduct independent, rigorous doctoral research.
Apply Islamic ethical principles to real-world sustainability and policy contexts.
Develop evidence-based recommendations for organisations and decision-makers.

Technical or Information Technology Skills

Utilise advanced digital tools for data analysis and research.
Critically evaluate emerging technologies in sustainability contexts.
Manage and interpret complex datasets using appropriate software.

Transferable, Key or Personal Skills

Communicate complex ideas effectively to academic and professional audiences.
Demonstrate leadership, autonomy, and ethical responsibility in research.
Engage in critical reflection and lifelong learning.

Programme Structure

Support for Student Learning

The programme provides comprehensive support to ensure a successful and engaging learning experience:

Academic and Research Support – Structured supervisory guidance, research seminars, doctoral workshops, and one-to-one supervision support candidates in developing research design, critical analysis, and thesis development at Level 8 standard.
Methodological and Scholarly Development – Targeted support in advanced research methodologies, academic writing, literature synthesis, and publication development to ensure originality and rigour in doctoral research.
Technical and Digital Research Support – Access to digital libraries, research databases, data analysis tools, and online platforms enables effective data management, analysis, and dissemination of research findings.
Doctoral Skills and Professional Development – Support for academic leadership, research communication, conference participation, and publication preparation to enhance scholarly and professional capability.
Inclusive Research Environment – Provision of reasonable adjustments, accessibility support, and wellbeing services to ensure equitable participation and sustained doctoral progression.
Progress Monitoring and Feedback – Continuous formative feedback through supervisory meetings, milestone reviews, and formal progression assessments ensures structured academic development and readiness for thesis submission and viva voce examination.

LISD Supervision Support Structure

The PhD IFSDDA provides doctoral candidates with expert supervision aligned to their approved PhD research title.
Supervisors are allocated by LISD based on subject specialism, research relevance, and methodological expertise.
Candidates may also be matched with co-supervisors where interdisciplinary input is required.
LISD maintains a diverse pool of internationally experienced supervisors from both academia and industry, ensuring strong academic rigour and practical relevance.
Supervision is delivered through structured, regular academic guidance to support progression through all PhD phases, including proposal, research, and thesis completion.

Programme Structure

Phase	Focus Area	Key Activities/Components	Assessment Output	Progression Outcome
Phase 1: Research Proposal and Registration	Research foundation and approval	Title finalisation, abstract, introduction, problem statement, objectives, initial literature review, methodology design, significance, references	Full research proposal submission and proposal viva	Approval for doctoral registration
Phase 2: Literature Review Development	Theoretical and conceptual grounding	Critical literature review, theoretical frameworks, identification of research gaps, conceptual framework development, Islamic and sustainability integration	Literature review chapter submission and supervisory review	Progression to methodology stage
Phase 3: Research Methodology and Design	Research planning and design	Research philosophy, design (qualitative/quantitative/mixed), data collection tools, sampling strategy, ethical approval, data analysis plan	Methodology chapter submission and progress review	Approval to conduct research
Phase 4: Results, Analysis and Discussion	Data analysis and interpretation	Data collection, results presentation, statistical/qualitative analysis, discussion, linkage to literature, conclusions, limitations, recommendations, appendices	Draft thesis submission for internal review	Approval for final thesis submission
Phase 5: Final Assessment (Thesis & Viva Voce)	Doctoral examination	Final thesis submission, external/internal examination, viva voce defence of research originality, methodology, and contribution to knowledge	Final thesis and viva examination	Award of PhD degree

PhD Exit Points

Exit Point	Academic Stage Completed	Assessment Status	Award / Outcome	Description
Early Exit (Pre-Registration/Proposal Stage)	Completion of research proposal only	Proposal not approved or withdrawn	No award	Candidate exits before formal doctoral registration; may receive informal statement of participation if applicable
Exit at Literature Review Stage	Completion of literature review	Insufficient progression to methodology stage	Postgraduate Certificate	Demonstrates partial doctoral engagement but not sufficient for higher qualification
Exit at Methodology Stage	Completion of methodology development	Research not progressed to data collection	Postgraduate Diploma	Demonstrates structured research design but incomplete doctoral study
MPhil Exit Award	Partial completion of doctoral research (up to data analysis stage in some cases)	Thesis does not meet PhD standard but meets Master’s research standard	Master of Philosophy (MPhil)	Recognised UK exit award for advanced research competence
PhD Award (Minor Corrections)	Full thesis completed and defended	Viva successful with minor amendments	Doctor of Philosophy (PhD) awarded	Thesis meets doctoral standard subject to minor revisions
PhD Award (Major Corrections)	Full thesis completed and defended	Viva successful with substantial revisions required	Doctor of Philosophy (PhD) awarded after resubmission	Doctoral standard met after significant revision
Resubmission Required	Full thesis submitted	Viva outcome deferred	Award pending re-examination	Thesis requires major revision and re-examination
Fail (No Award)	Full or partial thesis submitted	Does not meet doctoral or MPhil standard	No award	Research does not meet minimum academic threshold

Assessment

Assessment Strategy

All assessments are conducted online and submitted through the official learning platform provided to students.

Phase 1: Research Proposal and Registration
Assessment Components: Submission of full research proposal including
- Title and abstract
- Introduction and research background
- Problem statement and research objectives
- Preliminary literature review
- Research methodology (design, approach, methods)
- Expected outcomes and significance
- Initial references [Harvard Style of References]
Additional Requirement
Formal proposal presentation and viva for approval by the supervisory panel and progression to registration.
Phase 2: Literature Review Development
Assessment Components: Comprehensive literature review covering
- Theoretical frameworks and key concepts
- Critical review of existing studies
- Identification of research gaps
- Conceptual framework development
- Justification of research positioning within Islamic and sustainability discourse
- Extended and updated references [ Harvard Style of References]
Evaluation Method
Submission of draft chapter and supervisory review feedback.
Phase 3: Research Methodology and Design
Assessment Components: Detailed methodological framework including
- Research philosophy and approach
- Research design (qualitative, quantitative, or mixed methods)
- Data collection methods and instruments (e.g. surveys, interviews, questionnaires)
- Sampling strategy
- Ethical considerations and Approval
- Data analysis techniques
Evaluation Method
Methodology chapter submission and formal progress review with supervisory approval.
Phase 4: Results, Analysis and Discussion
Assessment Components: Presentation of research findings including
- Data presentation and results
- Data analysis and interpretation
- Critical discussion of findings
- Linkage with literature and theoretical framework
- Conclusion and implications
- Limitations of the study
- Recommendations for future research
- References and appendices
- Research instruments (e.g. questionnaires, interview guides)
Evaluation Method
Submission of full draft thesis for internal review and feedback prior to final submission.
Phase 5: Final Assessment (Thesis Examination)
Assessment Components: Submission of final doctoral thesis
- External and internal examiner evaluation
- Viva voce examination assessing:
  - Originality and contribution to knowledge
  - Academic rigour and methodological soundness
  - Integration of Islamic frameworks with SD
  - Overall coherence and scholarly quality

Assessment Policies

All assessments, including the research proposal, progress reviews, thesis submission, and viva voce examination, are conducted in accordance with institutional regulations, ensuring fairness, transparency, consistency, and academic integrity.
The programme follows a structured research-based assessment model, with formative support provided through supervisory guidance and formal milestone reviews leading to the final doctoral thesis.
Late submission of required research milestones, plagiarism, and any form of academic misconduct are managed under formal institutional procedures and may affect progression or the final award outcome.
Candidates are required to meet the prescribed academic and research standards at each stage of the programme, including successful completion of the proposal stage and satisfactory defence of the final thesis in the viva voce examination, in order to be awarded the PhD qualification.

Grade Bands and Classifications

Final grades are awarded based on overall doctoral examination outcomes using the LISD grading framework.

LISD Grading System

Classification	Descriptor	Typical Outcome Criteria
Doctor of Philosophy (Awarded)	Pass – PhD awarded	Thesis demonstrates original contribution to knowledge, meets doctoral standards, and is successfully defended in viva voce. Minor or no corrections may be required.
Doctor of Philosophy (Awarded with Minor Corrections)	Pass with minor revisions	Thesis meets doctoral standard subject to minor typographical, formatting, or clarificatory corrections within a limited timeframe.
Doctor of Philosophy (Awarded with Major Corrections)	Pass with major revisions	Thesis demonstrates potential doctoral standard but requires substantial revisions before final approval. Re-submission required within specified period.
MPhil Award	Exit award	Thesis does not meet PhD standard but is sufficient for Master of Philosophy (MPhil) award.
Resubmission Required	Deferred outcome	Thesis requires re-submission and re-examination following significant revision. May or may not lead to award.
Fail (No Award)	Unsuccessful	Thesis does not meet MPhil or PhD standard and is not recommended for award even after revisions.

Assessment Rubrics and Weightings

Phase 1: Research Proposal and Registration

Criteria	Outstanding Doctoral Standard	Meets Doctoral Standard	Borderline Doctoral Standard	Below Doctoral Standard
Title & Abstract	Highly focused, original, clearly framed doctoral contribution	Clear and appropriate research focus	Some clarity but lacks precision	Unclear or non-doctoral level
Introduction & Background	Strong critical positioning within field	Clear rationale and context	Limited critical framing	Weak or inadequate
Research Problem & Objectives	Original, significant, clearly researchable	Clear and appropriate	Partially defined	Vague or poorly formulated
Initial Literature Engagement	Demonstrates critical awareness of key debates	Adequate engagement	Descriptive overview	Minimal or irrelevant
Methodological Direction	Strong alignment and justification	Appropriate approach identified	Basic methodology outline	Inappropriate or unclear
Research Significance	Strong doctoral-level contribution	Clear relevance	Limited justification	Not demonstrated
Proposal Viva	Defends ideas with clarity and academic maturity	Adequate defence	Basic understanding	Unable to defend proposal

Phase 2: Literature Review Development

Criteria	Outstanding	Meets Standard	Borderline	Below Standard
Theoretical Framing	Highly critical, original synthesis of theories	Clear theoretical structure	Basic framework	Weak or missing
Critical Engagement	Deep, analytical, evaluative	Good critique	Mostly descriptive	Lacks criticality
Research Gap Identification	Clearly defined and strongly justified	Identified appropriately	Partially identified	Not identified
Conceptual Development	Original, coherent, well-structured	Clear conceptual model	Basic structure	Missing or unclear
Islamic & Sustainability Integration	Sophisticated interdisciplinary integration	Clear linkage	Limited integration	Not evident
Scholarly Referencing	Extensive, current, authoritative	Appropriate sources	Adequate	Weak or inconsistent

Phase 3: Research Methodology and Design

Criteria	Outstanding	Meets Standard	Borderline	Below Standard
Research Philosophy	Clearly articulated and fully justified	Appropriate	Basic understanding	Incorrect or Missing
Research Design	Highly rigorous and well-justified	Appropriate design	Limited clarity	Inappropriate
Data Collection Strategy	Strong justification and methodological rigour	Suitable methods	Basic methods	Weak or unclear
Sampling & Access	Robust and clearly justified	Adequate	Limited detail	Poor or missing
Ethics & Governance	Fully compliant and critically addressed	Addressed appropriately	Basic consideration	Not addressed
Data Analysis Strategy	Advanced, well-justified analytical framework	Appropriate techniques	Basic approach	Inappropriate

Phase 4: Results, Analysis and Discussion

Criteria	Outstanding	Meets Standard	Borderline	Below Standard
Data Presentation	Clear, structured, academically rigorous	Clear presentation	Adequate	Poor or unclear
Analysis & Interpretation	Highly critical, original interpretation	Good analysis	Basic interpretation	Weak or incorrect
Discussion	Deep theoretical integration and insight	Good discussion	Limited criticality	Descriptive only
Link to Literature	Strong synthesis and contribution	Clear linkage	Partial linkage	Weak or Missing
Conclusions	Original, well-justified	Clear conclusions	Basic conclusions	Weak or unsupported
Limitations & Reflection	Critical and well-developed	Appropriate	Basic	Missing
Referencing & Appendices	Complete, accurate, scholarly	Good	Adequate	Poor

Phase 5: Final Assessment (Thesis & Viva Voce)

Criteria	Outstanding Doctoral Standard	Meets Doctoral Standard	Borderline Doctoral Standard	Below Doctoral Standard
Originality	Significant original contribution to knowledge	Clear originality	Some originality	Lacks originality
Contribution to Knowledge	Substantial and publishable-level impact	Clear contribution	Limited contribution	Not demonstrated
Academic Rigour	Exceptional depth and intellectual rigour	Good rigour	Adequate	Weak
Methodological Strength	Fully robust and defensible	Sound methodology	Basic	Flawed
Islamic Framework Integration	Deep, original interdisciplinary synthesis	Clear integration	Limited integration	Missing
Coherence & Structure	Excellent logical flow and academic coherence	Clear structure	Adequate	Weak
Viva Performance	Confident, scholarly, authoritative defence	Good defence	Basic response	Unable to defend

Publication Opportunity
Students who demonstrate outstanding doctoral-level work at key stages of the thesis (including the literature review and final submission) may be invited to collaborate with the academic team to develop their research into publishable papers. Publication will be subject to peer review and compliance with the academic and editorial standards of a recognised journal within the World Association for Sustainable Development (WASD).

Assessment Submission and Mode of Delivery

All assessments will be conducted online and must be submitted through the official online platform provided to students.
Clear instructions and submission deadlines will be communicated in advance.
Students are responsible for ensuring that all work is submitted in the required format and within the specified timeframe.

Target Participants

The PhD IFSDDA is an advanced research degree that develops high-level expertise in SD, DT, and Islamic ethical, legal, and socio-economic principles within a global context. It prepares scholars to produce original research that contributes to academic knowledge and policy discourse.

The programme at LISD critically engages with global sustainability agendas, including the 17 SDGs, while examining their alignment with Islamic frameworks of justice, stewardship, and ethical governance. It focuses on key areas such as SD theory, DT, AI, Islamic finance, and global governance.

The curriculum is research-driven and aligned with contemporary global challenges, enabling candidates to contribute to academia, policy development, and international institutions through rigorous, ethical, and interdisciplinary doctoral research.

Facilitators

The programme will be facilitated by the best experts from all over the world to provide participants within the public and private sectors worldwide with the best scientific and management solutions to implement effective public policy in their organisations to achieve the United Nations 2030 Agenda and its 17 Sustainable Development Goals. The facilitators will be on hand to guide you through the material and will expect you to bring personal experience and reflection on the topics covered. Group work will also be required for participants to engage in the workshop. Such activity allows participants to embed the new knowledge within their experience through active discussion and challenge.

Dr Rawad Hammad (London - UK) is a computer scientist with 20 years of experience in academic research, teaching, industry and leadership. Research interests include the use of Software Engineering, Artificial Intelligence and disruptive technologies for Technology-Enhanced Learning (TEL), e-health and Smart Cities. His expertise lies in the application of innovative technologies from Artificial Intelligence, Semantics, Business Process Management, and Data Management in multi-disciplinary application domains including TEL and e-health. Rawad is the leader of two MSc Programmes and a Technology-Enhanced Learning Research Group. He is also co-director and co-founder of a newly established Smart Health Centre at the University of East London. Moreover, Rawad has been working on large-scale collaborative EU and international projects such as: DECUMANUS, TRANSFER and SmartTech which established collaboration with international partners from UK, Japan, Germany, Finland, the EU and the Middle East. Moreover, Rawad delivered a few keynote speeches and received a considerable number of research awards, the latest was the outstanding paper 2021 by Emerald Publishing. He is an executive committee member of the international society of Artificial Intelligence in Education (AIED), and a panel member of different research journal/conference communities such as EC-TEL, IARIA, WASD, MEKEI, in addition to IEEE, ACM.

Professor Arshi Naim (London - UK) is recognised among the Top 2% Scientists globally by Stanford University and Elsevier, is a distinguished academic with over 23 years of experience in business management, digital marketing, higher education, quality assurance, and academic leadership. A prolific researcher, she has published 115+ Scopus-indexed papers in high impact journals and contributed to academic books with leading publishers such as Wiley, Springer, Elsevier, Emerald, Taylor & Francis, IGI Global, Nova Science, and Bentham Science.

Professor Allam Ahmed (London - UK) is a Professor of Knowledge Management and Sustainable Development; Co-Founder of SMART KM MODEL: An Integrated Knowledge Management Framework for Organizational Excellence and led the implementation of the first of its kind in the Middle East and North Africa Knowledge Management Framework Musharaka. Founding President of WASD; SDGs Universities Initiative; Middle Eastern Knowledge Economy Institute; Fellow Faculty of Public Health, UK; Fellow Chartered Institute of Marketing, UK; and Fellow Academy of World Business, Marketing and Management Development, Australia. Prior to QMUL, Prof. Ahmed spent 15 years at the University of Sussex Science Policy Research Unit (1st science and policy think tank in the UK) where he established and led Sussex’s most successful postgraduate programme MSc International Management.

Ambassador (Ret) Dr Petru Dumitriu (Geneve - Switzerland) is a Former Ambassador and Permanent Observer of the Council of Europe to the United Nations in Geneva. Currently Senior Fellow and Lecturer on Multilateral Diplomacy postgraduate courses, Diplo Foundation/University of Malta. Former member of the United Nations Joint Inspection Unit and Editor of numerous reports including: Strengthening the policy research uptake in service of the 2030 Agenda for SD, Role of PPPs in the Implementation of Agenda 2030, Knowledge Management in the UN System

Dr Ibrahim Alfaki (UAE) is an Associate Professor of statistics in the Department of Statistics and Business Analytics at the United Arab Emirates University (UAEU). His research focuses on applied econometrics, spatial and statistical modeling, and data-driven policy analysis, with particular applications in road safety systems, economic and financial analytics, and the measurement of knowledge-based economies. His work emphasises the use of quantitative and data analytics methods, such as time series and econometric modeling, to support evidence-based decision-making and institutional performance evaluation. Professor Alfaki has contributed to national policy research, including the UAE Human Development Reports, in collaboration with government and international organizations. He has also served on the Scientific Committee of the Abu Dhabi Statistics Centre. In addition, he is a member of editorial advisory boards of several international journals, including WJEMSD, WJSTSD, and IJIKMMENA. His work reflects a sustained contribution to statistical applications in sustainable development and public policy.

Miryem Salah (London - UK) is the director for Digital, Data & AI Transformation, Managing Director for the MSP sales channel of Vodafone Business IT hubs at VodafoneThree.Having led on major transformation across IT, digital, data, analytics and AI globally in private, public sectors. Miryem operates at the intersection of strategy, execution, culture, and impact-the space where she has consistently delivered the greatest value. She brings end‑to‑end ownership: setting direction, aligning capital and talent, and taking full accountability for outcomes. Her experience spans sectors and geographies, with leadership across the full enterprise agenda. Miryem brings strong financial and commercial acumen, with deep expertise in capital allocation, business case development, operating model design, and benefits realisation. She has led complex, multinational organisations through change under pressure-modernising infrastructure, integrating cultures, and delivering measurable improvements in customer experience, efficiency, and profitability. Building high‑performing, inclusive leadership teams with clarity, pace, and accountability. She is deeply committed to sustainability, diversity, and developing future leaders. Miryem is known for authentic leadership, decisive action, and strong stakeholder engagement at the shareholder, board & investor level.

Professor Dhiya Al-Jumeily OBE (Liverpool - UK) has 30+ years experience in artificial intelligence and machine learning. In 2020, Prof Al-Jumeily was appointed by her majesty “THE QUEEN to the Most Excellent Order of the British Empire, “OBE- Ordinary Officers of the Civil Division of the said Most Excellent Order” for the “Services to Scientific Research”. Within healthcare field Prof Al-Jumeily developed SMART applications for disease diagnosis and management that are currently used by patients in the UK, UAE and Iraq. On the scientific community level, Prof Al-Jumeily established the eSystems Engineering Society (eSES) that has contributors from researchers and scientists at worldwide. The eSES activities include intelligent patient management system; datasets and databanks; DeSE annual and international conference; accredited professional courses; and the International Journal of Data Science and Advanced Analytics. On the research funding level, Prof Al-Jumeily attracted more than £7.5M of funding and published >350 publications.

Professor Mary He (Manchester - UK) is Professor of Artificial Intelligence (AI) for Robotics in the School of Science, Engineering, and Environment at the University of Salford and Turing Liaison Academic for membership of the Salford Turing University Network. She is a passionate advocate of AI and an expert in human-centred AI for trustworthy robotics and trustworthy autonomous systems (TRAS). She has also done a lot of research in cognitive cybersecurity, data science, computational theory and optimisation. She was a senior embedded systems engineer at Motorola Design House in China. Mary is Chair of the task force of AI and Edge Computing for TRAS on the IEEE Computational Intelligence Society's Technical Committee on Adaptive and Dynamic Programming and Reinforcement Learning and Chair of the IEEE UK & Ireland RAS Chapter.

Professor Manuel Frutos-Perez (Cambridge - UK) is the Chief Academic Officer at the digital division of Cambridge Education Group. He leads the strategic planning process across a wide portfolio of Higher Education partnerships, with a focus on international market intelligence, academic excellence, and outstanding learner support. He is also a Visiting Professor in Online Education and Digital Innovation at the University of Hull, UK, and a Visiting Professor in Digital Learning at the Academic Practice Directorate, University of the West of England, Bristol, UK. Manuel is an international technology expert promoting the advancement of learning and teaching in Higher Education, and regularly delivers thought leadership keynotes at international events.

Dr Ibrahim Alfaki (UAE) is an Associate Professor of statistics in the Department of Statistics and Business Analytics at the United Arab Emirates University (UAEU). His research focuses on applied econometrics, spatial and statistical modeling, and data-driven policy analysis, with particular applications in road safety systems, economic and financial analytics, and the measurement of knowledge-based economies. His work emphasises the use of quantitative and data analytics methods, such as time series and econometric modeling, to support evidence-based decision-making and institutional performance evaluation. Professor Alfaki has contributed to national policy research, including the UAE Human Development Reports, in collaboration with government and international organizations. He has also served on the Scientific Committee of the Abu Dhabi Statistics Centre. In addition, he is a member of editorial advisory boards of several international journals, including WJEMSD, WJSTSD, and IJIKMMENA. His work reflects a sustained contribution to statistical applications in sustainable development and public policy.

Contact Us

To register/enquire about this course and all our various comprehensive list of courses and workshops and if you have any question and/or if you would like to request a training workshop/program not listed in our portfolio please contact our Academic Director Professor Arshi Naim at: arshi@wasd.org.uk with a copy to admin@wasd.org.uk.

London Institute of Sustainable Development (LISD), London, United Kingdom

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Registration and Fees

Included in the course fee, the following learning materials will be provided:

Admission to all sessions.
All overhead slides (PDF).
Case studies (print and video).
Full access to WASD Sustainability Library including all volumes of World Sustainable Development Outlook book series.
Certificate of completion.

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PhD Islamic Frameworks for Sustainability and Digitalisation

Overview

Overview

A One of-a-Kind Initiative

Related Sustainable Development Goals

Related Courses

Location

Country/Regions

Social Networks

Related Sustainable Development Goals

What will you learn

Learning Outcomes

Knowledge and Understanding

Cognitive, Intellectual or Thinking Skills

Practical, Professional or Subject-specific Skills

Technical or Information Technology Skills

Transferable, Key or Personal Skills

Programme Structure

Support for Student Learning

The programme provides comprehensive support to ensure a successful and engaging learning experience:

LISD Supervision Support Structure

Programme Structure

PhD Exit Points

Assessment

Assessment Strategy

Assessment Policies

Grade Bands and Classifications

LISD Grading System

Assessment Rubrics and Weightings

Assessment Submission and Mode of Delivery

Target Participants

Facilitators

Contact Us

Registration and Fees

Gallery

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