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With data in plentiful supply, it’s more and more important for organizations to be able to turn data into meaningful insights that lead to concrete decisions and business results. In today’s world, nearly every function – from finance, healthcare, marketing, human resources supply chain management, human resources to manufacturing and agriculture – need skilled data analysts and data scientists to sift through data, connect the dots and transform that data into meaningful information that can make an impact and enable new AI technologies to automate repetitive tasks, improve the accuracy of diagnostics, optimize processes, improve customer experience, make more precise predictions, reduce errors, improve safety to name a few.

Join us for the Career Pathways in Data Analytics, Data Science and Machine Learning information session to explore trends, challenges, and career opportunities in this fast-growing field. We will discuss:
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• Current trends and opportunities in Data Analytics, Data Science, and Machine Learning
• Key tools and techniques used in the industry today
• Applications of Machine Learning and AI technologies
• Key skills to thrive in today’s data world

Then we’ll dive into how our programs can help you launch or advance your career and prepare you for opportunities in this fast-growing field.

We will cover topics such as:

• Curriculum and courses
• Learning outcomes
• Admission requirements
• Sessions for admission and admission deadlines
• Tuition fees
• How to apply

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Learn more about À¦°óSMÉçÇø's Professional Development Certificate Programs in Data Science at mcgill.ca/continuingstudies/area-of-study/data-science
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For more information, write to pd.conted [at] mcgill.ca

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