McGill SCS Launches Data Science Programs

2016-2017 Issue 1

Earlier today, representatives from DeepMind, the City of Montreal, and others joined McGill School of Continuing Studies students and faculty to announce the launch of two new programs in data science. The programs are designed to meet the needs of companies and organizations in a wide-range of industries, from insurance to healthcare. Driving strategic business decisions using data insights has become increasingly important in a globalized marketplace.

The new Professional Development Certificates offer a program for those who code and another for those who do not. The Professional Development Certificate in Data Science and Machine Learning is designed to equip learners with essential data science knowledge and skills required to manage, manipulate, analyze and extract value from data. Those with a computer science background, or a similar analytical field, can develop their skillset to be job-ready.

For managers, studying data science and analytics allows for an understanding of the data pipeline relevant to making data-driven decisions. The Professional Development Certificate in Data Analytics for Business was created to help business leaders and managers develop the analytical mindset required to turn insights obtained from data analysis into actionable business decisions and strategies.

There’s never been a more exciting time learn about data science and machine learning. IBM is predicting an increase of 28% in demand for data scientists by 2020. There are innumerable problems worthy of investigation and solutions to be found using data.

“As machine learning continues to become more present in our everyday lives, it’s important that the next generation of business and technical leaders are equipped with the necessary skills to take advantage of the possibilities that this new technology brings. I look forward to sharing my own insight and knowledge on the topic, and hope that graduates of this course will go on to apply their learnings for positive impact,” states Shibl Mourad, the Canada engineering lead at DeepMind.

Even if you don’t plan to become a data scientist, it’s advantageous to have a foundational knowledge of data science processes when working in interdisciplinary teams. The two programs offer a capstone project that creates an opportunity for collaboration between students in the two streams. Learning how to communicate and collaborate is a priority based on industry needs.

“We listen to our students, to our instructors and keep our finger on the ‘pulse’ of industry needs. In creating this program, we worked with industry experts to create programs that their current and future employees would benefit from,” says Inna Popova, Director, Non-Credit Programs, Career and Professional Development at McGill’s School of Continuing Studies.


 

Both programs are a response to the rapid development of data-driven job openings in Montreal and beyond. In fact, they were built with the help of industry experts in data science – many of whom joined us at the event.

In case you missed it, watch our FB Live broadcast of the speakers and join the conversation on Twitter: 

Data Science Programs Launch

Join us for the #McGillSCS Data Science Programs Launch with Shibl Mourad of Deep Mind AI, Montreal city councillor Francois Croteau, and @MIT researcher Marie-Jose Montpetit. Jump to speaker remarks in the comments. Remarks start at 3:35, François Croteau, City of Montreal councilor speaks at 14:00, Shibl Mourad of Deep Mind speaks at 20:10, Myriam Côté, Executive Director of the Montreal Institute for Learning Algorithms speaks at 30:00, and Marie-Jose Montpetit, MIT researcher, speaks at 33:00.

Posted by McGill University School of Continuing Studies on Wednesday, January 10, 2018

Speaker timestamps (accessible in video comments):

Remarks start at 3:35, François Croteau, City of Montreal councilor speaks at 14:00, Shibl Mourad of Deep Mind speaks at 20:10, Myriam Côté, Executive Director of the Montreal Institute for Learning Algorithms speaks at 30:00, and Marie-Jose Montpetit, MIT researcher, speaks at 33:00.

Join the conversation on Twitter with #datascienceSCS!

Learn more about the programs and apply today!

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