Masters Certificate in Analytics for Leaders

Take Charge of Analytics and Turn Your Data Into a Competitive Advantage.

Create value from organizational data and make smarter business decisions for increased performance and profitability.

It’s no surprise that in the digital economy, companies that develop the ability to leverage their data make better decisions across many functional areas, and create a significant competitive advantage. But what organizational knowledge and skills are required to do so effectively? While most organizations today collect data as a basis for decision making, seeing patterns in the exploding volumes being generated by customer and client interactions quickly becomes impossible. Analyzing it properly to extract and distill the insights it contains in order to make better business decisions requires some specialized skills and tools.

Are you ready to step into the future of leadership, armed with cutting-edge skills in artificial intelligence (AI), advanced analytics, and generative language models? Our Masters Certificate in Analytics and AI for Leaders is designed to equip you with the knowledge and expertise needed to not only understand the latest technologies but also have the practical skills to lead effectively in the dynamic world of Artificial Intelligence (AI) and analytics. Join us on this transformative journey and position yourself as a well well-rounded leader in the digital age. Our program offers a unique blend of expert-led courses and a real-world Capstone Project, ensuring you gain both theoretical knowledge and practical skills. With top top-notch instructors in each field, you'll be learning from the best. 

This program has been designed to furnish participants with a comprehensive working knowledge of the subject, allowing them to cultivate an analytics mindset and successfully apply analytics to inform and  support organizational objectives and strategy.

Dive into the four pillars of AI, Analytics, Leadership and Cybersecurity.

How Technically Demanding is it? The modules have been developed for nondata scientists and do not require any prior technical knowledge. Some topics make use of math but only for explanation or demonstration purposes. All participants require to benefit is an openness to learning. Whether you’re looking to implement a data analytics program from scratch, take your use of data to the next level, or simply increase your fluency in the domain, this is the program for you.

Note: Participant groups will present a final Capstone Project.

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Program Content

MODULE 1: Artificial Intelligence (AI) for Modern Businesses
November 6 - 29, 2024 (2 hour sessions) 
(Nov 6 (Wed), Nov 8 (Fri), Nov 13 (Wed), Nov 15 (Fri), Nov 20 (Wed), Nov 22 (Fri), Nov 27 (Wed), Nov 29 (Fri), 2024.)

Jumpstart the program with an introduction to AI and machine learning. Then, delve into the application of advanced machine learning techniques; AI strategy and implementation; and generative large language models and their impact on business.

• Introduction to AI and Machine Learning
• Application of Advanced Machine Learning Techniques
• Generative Large Language Models and their Impact on Business

MODULE 2: Analytics For Organizational Success
December 4, 2024 - January 24, 2025 (2 hour sessions) 
(Dec 4 (Wed), Dec 6 (Fri), Dec 11 (Wed), Dec 13 (Fri), 2024, Jan 15 (Wed), Jan 17 (Fri), Jan 22 (Wed), Jan 24 (Fri), 2025.)

Embark on a journey through data analytics fundamentals. After you’ve mastered the basics, jump into big data and advanced analytics. Touch on topics like data visualization, predictive analytics, machine learning on big data, and big data technologies.

• Data Analytics Fundamentals
• Big Data and Advanced Analytics
  
  

MODULE 3: Leading in the Age of AI, Technology & Analytics
January 29 - February 19, 2025 (2 hour sessions)
(Jan 29 (Wed), Jan 31 (Fri), Feb 5 (Wed), Feb 7 (Fri), Feb 12 (Wed), Feb 14 (Fri), Feb 19 (Wed), Feb 21 (Fri), Feb 26 (Wed), 2025.)

Learn to be a leader in the age of AI. Dive into managing AI and analytics projects; cybersecurity for leaders and digital transformation strategies.

• Leadership in the Age of AI
• Managing AI and Analytics Projects
• Cybersecurity for Leaders
• Digital Transformation Strategy

MODULE 4: Capstone Project: Integrating AI, Analytics, Cybersecurity, and Digital Transformation
February 28 - March 5, 2025 (2 hour sessions)
(Feb 28 (Fri), Mar 5 (Wed), 2025.)

• Work on a real real-world project and use AI, analytics, cybersecurity, digital transformation strategies, and generative language models to address a complex business challenge.
• Sharpen your leadership skills in project management, ethics, and effective communication.

 

Top Take-Aways

• Quickly learn about the complete range of knowledge and skills required to practice analytics sustainably, and the management competencies required to oversee it
• Gain hands-on exposure to working with both basic and advanced concepts in data science without getting into the weeds of programming
• Develop the confidence to embrace data-driven opportunities and the skills to initiate data-analysis transformation in their organization or functional area
• Increase fluency in the domain in order to understand how to build and manage an analytics team, or communicate more effectively with data scientists

Who Should Attend

This program has been designed for executives and professionals with diverse needs from any sector or functional area, including managers who:

• Want to learn about data analytics tools and techniques and leverage insights from big data to allow their organization to make better business decisions
• Are tasked with implementing, enhancing or expanding the role of analytics in their organization
• Currently work on analytics projects or are involved with a data team, and want to increase their fluency in the domain and their command of its tools and techniques

 

This program is delivered in partnership with Schulich Executive Education Centre at York University.