The C-Suite portfolio often requires targeted programmes to meet the development objectives of executives in senior management roles. C-suite executives will learn to maximise their potential, fix weaknesses, and advance their careers with our researched and curated list of the most relevant courses. 
AI For Healthcare
University: National University of Singapore
Professors: Kee Yuan Ngiam, Dean Ho, Feng Mengling, Dr Kenneth Ban
With the AI For Healthcare programme, which provides a foundational understanding of the impact of current and emerging AI technologies including global trends and regulatory constraints, healthcare, professionals can drive decision-making, elevate patient care, and improve profitability and performance.
Course Highlights:
- Create an executive summary of an AI implementation/improvement plan for your organisation.
- Examine the use of AI in optimising treatment for populations and personalised medicine.
- Analyse the impact of AI on the quality of care and operations in healthcare.
- Recognise the role of AI in drug discovery, development, and administration.
- Define key AI terminologies and identify the opportunities of integrating deep learning in healthcare AI.
- Describe the fundamentals of biomedical informatics.
- Explain the key aspects of managing the life cycle of data.
- Explain the implementation of strategies and frameworks for AI in healthcare workflows.
Course Duration: 2 months
Fee: is $1,800 for the entire course, including real-world case analysis, discussion boards.
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS Yong Loo Lin School of Medicine.
The course is best for:
- Technology-driven sectors where AI applications are critical, including healthcare, medical services, medical devices, pharmaceuticals, biotechnology, edtech, IT, real estate, and telecommunications.
- CEO, CIO, chairman, director, associate director, senior director of health care, pharmaceuticals, medical devices, information technology, and other relevant industries.
- General manager, product manager, marketing manager, account manager, operations manager, project manager of healthcare, biotechnology, edtech, and medical devices.
- Founder, co-founder of healthcare, medical services, and pharmaceutical industries.
Business Analytics: Data-driven Decision Making
University: Rotman School of Management
Professor: Avi Goldfarb
With Business Analytics: Data-driven Decision Making program, you can advance your data literacy and confidently lead a data-driven corporate culture. You can close that competency gap by gaining the skills to transform your organisation into a data-driven enterprise.
Course Highlights:
- Improved data literacy, the ability to communicate effectively with data analysts to understand when to use (and how to interpret) descriptive, predictive, and prescriptive analytics
- Expert guidance on evaluating various data analytics tools, such as dashboards, machine learning, prediction models, and regression analysis
- Techniques to apply scientific thinking to business, such as examining cause and effect in data analysis and designing an experiment
- A deeper understanding of how to build a data-driven organisation, including managing privacy concerns and developing strategies for cultivating evidence-based decision-making
Course Duration: 6 weeks
Fee: is $2,600 for the entire course.
Upon successful completion of the program, you’ll earn a digital certificate of completion from the Rotman School of Management. This program counts toward a Rotman Excellence in Executive Leadership Certificate.
The course is best for:
- C-Suite executives from any industry with access to a massive data stream — such as IT services, banking and financial services, and health care — seeking to learn the language of data, to use analytics to strategic advantage, and to develop an analytics roadmap for their organisation.
- Mid-to senior-level managers seeking to garner insights from data and looking to gain a practical understanding of the applications of analytics to initiate new projects or launch new business ideas.
Business Analytics: From Data to Insights
University: Wharton Executive Education
Professors: Christopher D. Ittner, Peter Fader, Raghuram Iyengar, Senthil Veeraraghavan, Sergei Savin, Ron Berman, Noah Gans, Eric Bradlow, Matthew Bidwell
Business Analytics: From Data to Insights arms managers and leaders with the tools needed to break away from the pack and turn data into a competitive advantage.
Course Highlights:
- Descriptive Analytics takes you through the different types of data and how it can be visualised, ultimately helping you leverage your findings and strengthen your decision making.
- Predictive Analytics explores the potential uses of the data once it is collected and interpreted. You’ll learn to utilise different modelling tools, such as regression analysis, and estimate relationships among variables to predict future end-user behaviour.
- Prescriptive Analytics takes you through the final step — formulising concrete recommendations based on your data. These recommendations can be directed toward a variety of efforts, including pricing, as well as social-platform outreach.
Course Duration: 3 months
Fee: The cost is $2,600 for the entire course, including debrief of learnings, real-world examples.
Earn a digital Wharton certificate upon successful completion of the online program.
The course is best for:
- C-suite executives looking to keep pace with current trends, use business analytics as a strategic advantage, and make more data-backed decisions.
- Mid-to-senior-level managers looking to learn how analytics can help improve performance within their functional area while impacting business and growing in their roles.
- Analysts who want to understand the business implications of analytics, better equip themselves to draw business-relevant insights and grow in their careers.
- Consultants seeking to offer better insights to their clients that are based on the latest ideas in business analytics, and learn structured approaches of problem-solving through analytics.
The Future of Finance: Digital Transformation and Open Finance
University: University of Manchester
Professor: Markos Zachariadis
The Future of Finance: Digital Transformation and Open Finance program is for professionals looking to embrace fintech to build innovative strategies and solutions that address business challenges. It offers insights into key fintech concepts such as open finance, new business models in banking, the economics of payments, and data as a key resource in forging the digital identity of financial systems.
Course Highlights:
- Identify the impact of fintech on the competitive dynamics in the financial services industry.
- Examine the effects of financial regulations on the use of technology and business models in finance.
- Evaluate the economics and strategy of platform business models in banking
- Gauge the strategic role of data in the financial sector.
- Explore the evolving nature of money and relevance to payments innovation.
- Apply economic and strategic thinking for fintech innovation in order to design a digital finance solution for your business.
Course Duration: 6 weeks
Fee: is $152 for the entire course.
Upon successful completion of the online programme, participants will receive a verified digital certificate of participation from Alliance Manchester Business School, The University of Manchester.
The course is best for:
This online programme is developed for mid-level to senior finance professionals, executives, senior management officials, consultants, entrepreneurs, regulators and compliance professionals.
Roles that would be well suited to this programme include CEO, CFO, compliance and risk manager, economist, finance manager, financial/credit analyst, fintech consultant, founder/managing partner, fund/asset manager, investment strategists, management accountant, strategic advisor, VP audit and compliance.
Healthcare Analytics: AI, Big Data & Digital Transformation
University: Rotman School of Management
Professor: Avi Goldfarb
This Healthcare Analytics: AI, Big Data & Digital Transformation online program will help participants learn to ask the right questions to data analysts, build their analytics knowledge, make decisions, and create healthcare solutions using data. You’ll also learn to use data to drive cultural change in your organisation to ensure you thrive in today’s analytics-based economy.
Course Highlights:
- Increased healthcare data literacy that will enable you to effectively communicate with data analysts (to know how and what questions to ask), and to understand, incorporate, and build a healthcare analytics outlook into your organisations and teams.
- The expertise to interpret data analyses results and make data-driven decisions for optimal outcomes in the healthcare industry.
- An understanding of the importance of the emerging roles of artificial intelligence in healthcare and its applications to improve your organisational processes and outcomes.
Course Duration: 7 weeks
Fee: is $2,600 for the entire course.
Upon successful completion of the program, you’ll earn a digital certificate of completion from the Rotman School of Management. This program counts toward a Rotman Excellence in Executive Leadership Certificate.
The course is best for:
- C-Suite executives from the healthcare industry with access to a massive data stream who are seeking to implement analytics solutions in their unit, learn the language of data, and develop an analytics roadmap for their organisation.
- Mid-to-senior-level managers, such as general manager, corporate director, head of marketing, or head of strategy, seeking to garner insights from data and looking to gain a practical understanding of the applications of analytics to initiate new projects or launch new business ideas.
- Healthcare entrepreneurs or consultants looking to set up an analytics team and understand the concepts and tools for business and clinical intelligence to improve their product/service offering.
Want to know about other courses? Write to us at aarti@vibeprojects.com
If you liked reading this, you might like our other stories
