Mastering Artificial Intelligence and Data Science for Brighter Future REGISTER
15-17 February 2024 - THREE DAYS ONLINE COURSE
Certificate of Completion from Queen Mary University of London
This course has been designed to introduce a variety of fundamental perspectives on Artificial Intelligence (AI) and Data Science (DS) to build future leaders in public and private sectors who are able to respond to the ever-growing challenges facing our communities.
The course aims to enable leaders and decision makers to introduce fit-for-purpose AI and DS applications and approaches to their organisations to respond to evolving challenges. The course will therefore explain why AI can be suitable for certain types of problems and how AI solutions can be designed and developed to improve the quality of citizen’s life.
Participants will be enlightened on how much AI has the potential to make our lives better in almost all fields. It gives us the tools necessary to learn from and capitalise on human experience and perform complex tasks such as recommending solutions based on processing large amounts of data.
To register/enquire about this course and all our various comprehensive list of courses and workshops, please contact us (admin@wasd.org.uk) 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 training coordinator Janet Snow at: janet.snow@wasd.org.uk.
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).
Certificate from Queen Mary University of London and WASD.
What will you learn
Gain deep understanding of Artificial Intelligence (AI), Data Science (DS), machine learning and their underpinnings theories and models.
Build clear insights around the overall context of our organisations and the challenges faced by civil society.
To build a roadmap for an AI-enabled decision-making process to leverage and support organisational management and leadership.
Grasp ethical, political, environmental and social concerns associated with the application of AI in societies.
Practice authentic problem-solving techniques for managers and leaders in AI-oriented era.
Evaluate the appropriateness of a business application for artificial intelligence, natural language processing, machine learning and other AI technologies.
Program Structure
There will be an activity or set of activities for each session which will be designed to help you engage with the introduction to the theories explored within the course.
Your Facilitator will be on hand to guide you through the programme and will expect you to bring personal experience and reflection on the topics covered.
Group work will be required for participants to engage in the course. Such activity allows participants to embed the new knowledge within their experience through active discussion and challenge.
Abbreviations
(AI) Artificial Intelligence
(DT) Digitally Transformation
(DS) Data Science
(KM) Knowledge Management
(SD) Sustainable Development
(SDGs) Sustainable Development Goals
(SMEs) Small and Medium Enterprises
(TT) Technology Transfer
(UN) United Nations
Modules
Understanding your organisation.
Management and leadership challenges.
Strategic alignment and digital transformation enablers.
Chief Academic Officer at the digital division of Cambridge Education Group. 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.
Beverlee has been an academician for most of her life. Professor Emerita status by California State University San Marcos and recently she completed a four-year Certificate program of liberal studies at the University of Chicago. She began her academic career after receiving her MBA and Ph.D. from Ohio State University. Former Director of a Consumer Research Center and Chair of the Marketing Department, Wright State University. She served as Dean of Business at University of Wisconsin-Parkside and later at California State University San Marcos. She has taught as a Visiting Professor in graduate business programs in Mexico and India. She is past President of Marketing Educators Association and actively served as a Board member and officer in several International Business organizations.
Dr. Rawad Hammad (London - UK) Rawad is a computer scientist with 20 years of experience in academic research, teaching, industry and leadership. He is a Senior Lecturer in Computer Science and Digital Technologies and the leader of two MSc Programmes and a Technology-Enhanced Learning Research Group at the University of East London. He is also co-director and co-founder of a newly established Smart Health Centre at UEL. He is an executive committee member of the international society of Artificial Intelligence in Education, and a panel member of different research journal/conference communities such as EC-TEL, IARIA, WASD.
Professor Doaa Salman (Cairo - Egypt)
Professor of Economics, Head of the Economics Department and Vice Dean for Community Service and Environmental Affairs, October University or Modern Sciences and Arts University, Egypt. Principal Fellow of the Higher Education Academy and member of the Political and Economic Association of Egypt and the Middle East Economic Association.
Professor Allam Ahmed (London - UK) Professor of Knowledge Management and Sustainable Development; Founding President World Association for Sustainable Development; Founding Director SDGs Universities Initiatives; Fellow Faculty of Public Health (FFPH) and Fellow Chartered Institute of Marketing (FCIM); and Honorary Professor Faculty of Medicine and Dentistry and Senior Policy Fellow Global Policy Institute, Queen Mary University of London.
Target Participants
The course covers materials for all levels from supervisory through to senior level.
Government officials: minsters, undersecretaries, directors, etc.
Private sector: CEOs, managers and directors responsible for transformation, project, programme, performance, excellence, knowledge, innovation or change management.
Experienced managers who have significant futures-oriented management responsibilities, and who are interested in reflecting on their own experience and discovering new ideas.
Academics including vice chancellors, deans, heads of departments, researchers and students who are interested in leadership and in being part of an engaging educational experience that explore the challenges and opportunities that face organizations.
Youth, NGOs (voluntary) and civil society groups (public).
Professionals, SMEs, Start-ups and other stakeholders.
Benefits for Employers
Understanding the potential of AI and DS on your organisation/career in terms of productivity, engagement, loyalty and retention.
Understand evolving organisational requirements post Covid-19.
The opportunity for employers to showcase their role in different fields.
At the end of the course participants should have acquired comprehensive knowledge and practical experience about AI and DS applications and approaches in alignment with the local needs and capabilities.
Understand evolving international requirements for achieving the United Nations 2030 Agenda and its 17 SDGs.
Dr. Rawad Hammad 
Professor Doaa Salman (Cairo - Egypt)
Professor Allam Ahmed 
