Digital Transformation is Business Transformation
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6 Months, Online
4-6 hours per week + Live sessions with faculty
Participants report that enroling in a programme with colleagues fosters collaborative learning and amplifies their impact.
Please provide your details to get more information about the group-enrolment pricing.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Apply before 6 April 2023 to enjoy US$300 off the programme fee.
Use code APAC300TA during payment.
This programme features 1 year of free Premium Access to Emeritus Insights—a mobile app with 5,000+ bite-sized, business-focused videos to help you meet your daily learning goals on the go.
As a participant in the programme, you can enjoy a complimentary annual digital membership to The Wall Street Journal, giving you unlimited access to award-winning journalism across any device. From business and world news, to technology and life and arts, WSJ provides ambitious and fact-based reporting that readers can trust.
WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.
Comprehensive Programme Design
Industry Relevant Curriculum
Recorded Videos and 5+ Live sessions with faculty
Career Acceleration with one of the World's Premium Universities
Networking Opportunities
Associate Alumni status and benefits
Visualization tool that helps analyse data and understand customer preference
Data mining tool that supports with data analysis and predictive modelling coupled with graphical user interface
leading data analysis and statistical solution using Microsoft excel
Note: All brand, product and company names are trademarks™ or registered® trademarks of their respective holders.
Use of them does not imply any afliation with, endorsement by, or association of any kind between them and programme owners.
Anchored by the overall theme of Planning and Executing the Digital Transformation, the programme is organised according to 3 Key Pillars:
It is holistically curated to help you master basic through to advanced skill levels in various tools and technologies related to Data Science, Machine Learning, Deep Learning and Artificial Intelligence and provide you with a roadmap to achieve a successful digital transformation.
This module covers the basics of technologies that can disrupt existing industries and enable digital transformation for improving business performance and growth.
This module is about evolution and importance of business strategies across different industries – process, product, and service innovation and the need to change strategies for the digital world
The module focusses on ways to enhance customer willingness to buy in the digital world. This module also emphasises on creating and evaluating the value proposition for a brand to achieve business growth.
This module explains the basics of data and data science along with how data-enabled insights help leverage growth opportunities.
This module describes the different data types and data analytics. The module also introduces the different data analytical strategies and their usage to gain a competitive advantage.
This module explains basic statistical concepts and how they help in strategic decision-making in a business.
This module focusses on predictive analytics and their applications. The try-it activities in this module help reinforce the predictive analytic skills learnt in and identifying optimal models.
This module describes concepts of artificial intelligence and machine learning and their significance. The module also describes the business data types and the best practices for data-driven transformation.
This module focusses on the principles of supervised and unsupervised learning and the differences between the two.
This module explains machine learning (ML) and how it can help in increasing business performance. The module also describes the various Artificial intelligence (AI) and ML applications and trends.
This module describes the AI applications in different sectors such as finance, energy, education, and security. It also describes the benefits and limitations of AI.
This module deals with creating an AI strategy. It describes AI-led business transformations and how these platforms align with digital business strategies
This module explores the machine learning life cycle and feature engineering. The module also discusses how to evaluate and deploy a machine learning model.
This module addresses the key challenges, risks in data science, and discusses failed data science projects and explains how to predict the success of a project.
This module is about ethics and explains the main challenges involved in the application of ethics in various industries.
This module describes the ethical guidelines for AI, along with personal data protection, AI-specific regulations, and the extent of regulatory governance.
This module explores the technology enablers for Industry 4.0. It also describes the components that are responsible for AI success while highlighting the challenges in AI implementation.
This module focusses on how organisations use reflective communication to make customers aware of their digital solution. The module discusses frameworks that can help in implementing digital transformation plans successfully.
This module discusses the importance of business model innovation for business growth. The module explains how technology can enable business model innovation and help transform an organisation.
This module helps outline an action plan to grow a business ecosystem for an organisation and create a digital business ecosystem. This module also enlists ways to enhance the value proposition of business ecosystem.
This module covers the key barriers to the success of the digital transformation and guides on how to overcome those barriers.
This module covers the basics of technologies that can disrupt existing industries and enable digital transformation for improving business performance and growth.
This module deals with creating an AI strategy. It describes AI-led business transformations and how these platforms align with digital business strategies
This module is about evolution and importance of business strategies across different industries – process, product, and service innovation and the need to change strategies for the digital world
This module explores the machine learning life cycle and feature engineering. The module also discusses how to evaluate and deploy a machine learning model.
The module focusses on ways to enhance customer willingness to buy in the digital world. This module also emphasises on creating and evaluating the value proposition for a brand to achieve business growth.
This module addresses the key challenges, risks in data science, and discusses failed data science projects and explains how to predict the success of a project.
This module explains the basics of data and data science along with how data-enabled insights help leverage growth opportunities.
This module is about ethics and explains the main challenges involved in the application of ethics in various industries.
This module describes the different data types and data analytics. The module also introduces the different data analytical strategies and their usage to gain a competitive advantage.
This module describes the ethical guidelines for AI, along with personal data protection, AI-specific regulations, and the extent of regulatory governance.
This module explains basic statistical concepts and how they help in strategic decision-making in a business.
This module explores the technology enablers for Industry 4.0. It also describes the components that are responsible for AI success while highlighting the challenges in AI implementation.
This module focusses on predictive analytics and their applications. The try-it activities in this module help reinforce the predictive analytic skills learnt in and identifying optimal models.
This module focusses on how organisations use reflective communication to make customers aware of their digital solution. The module discusses frameworks that can help in implementing digital transformation plans successfully.
This module describes concepts of artificial intelligence and machine learning and their significance. The module also describes the business data types and the best practices for data-driven transformation.
This module discusses the importance of business model innovation for business growth. The module explains how technology can enable business model innovation and help transform an organisation.
This module focusses on the principles of supervised and unsupervised learning and the differences between the two.
This module helps outline an action plan to grow a business ecosystem for an organisation and create a digital business ecosystem. This module also enlists ways to enhance the value proposition of business ecosystem.
This module explains machine learning (ML) and how it can help in increasing business performance. The module also describes the various Artificial intelligence (AI) and ML applications and trends.
This module covers the key barriers to the success of the digital transformation and guides on how to overcome those barriers.
This module describes the AI applications in different sectors such as finance, energy, education, and security. It also describes the benefits and limitations of AI.
Digital transformation is an evolving trend, and organisations need to understand that everything will constantly (but digitally) change. The most significant investment in Digital Transformation is not in the technology but people. Digital transformation depends upon the digital qualifications of the leaders and professionals who need to roll out the processes and services for transformation. With data analytics becoming a core and essential capability for every organisation, enhancing skills and organisational structures for competitive digital transformation will be critical.
The Professional Certificate in Digital Transformation Programme is expertly designed to endow business leaders and professionals with a keen understanding of the new digital paradigm that represents the technological revolution we live in today and the key technologies behind the revolution.
Digital spending in Asia/Pacific to reach USD 1.05 trillion by 2026.
The global digital transformation market size is expected to grow from USD 469.8 billion in 2020 to USD 1009.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 16.5% during the forecast period.
of CEOs report that AI is considered mainstream technology in their office as of 2021.
SMU Academic Director, Executive Development
SMU Affiliated Faculty of Strategic Management
SMU Professor of Operations Management
Former SMU President, Professor Emeritus of Operations Management
SMU Programme Director, Executive Development
Associate Professor of Marketing
Professor of Information Systems (Education); Associate Dean, SCIS Post-Graduate Professional Education; Director, Doctor of Engineering
Associate Professor of Computer Science; Director, BSc (Computer Science) Programme; Lee Kong Chian Fellow
Assistant Professor of Computer Science Education; Director, MITB Artificial Intelligence Programme
Professor of Law
Associate Professor of Law; Deputy Director, Centre for AI and Data Governance
The programme is applicable across leadership, managerial, operations, and consultancy functions; in major industries such as Banking & Finance, Healthcare, IT Product & Services, Consulting. It is suited for both technical and non-technical audiences, and does not require prior coding knowledge.
This programme is designed for senior professionals and leaders who want to lead digital transformation in their organisation by:
Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.
Download BrochureAll certificate images are for illustrative purposes only and may be subject to change at the discretion of Singapore Management University.
