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Professional Development Certificate in Data Science and Machine Learning

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Information Session - PDC in Data Analytics, AI, Machine Learning

Information Session - Career Pathways in Data Analytics, AI and Machine Learning

Join us for the Career Pathways in Data Analytics, AI and Machine Learning information session to explore trends, challenges, and career opportunities in this fast-growing field.

Date: Wednesday, December 2, 2020
Time: 12:30 pm ET


PDC Online Information Session

Online Information Session

Wondering if a McGill Professional Development Certificate is for you? Get answers from our on-demand info session and learn about topics offered, delivery method, our approach to learning and teaching, tuition fees and how to apply. Plus, hear from actual students who will talk about their experience and how the program they chose helped them achieve their professional aims.

Watch the Session (PW: zZB3D32U)

Latest Articles

McGill SCS Announces Scale AI Funding for Professional Development Programs in Data Science, Machine Learning and Artificial Intelligence

" To meet the growing demand for skilled data science and AI professionals, training in these fields just became more accessible. "


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Accelerating work performance with skills in data science and AI

" As one of the fastest-growing industries in Canada, data science has become a lucrative career path for many. That’s because evidence suggests that artificial intelligence — or AI — will be one of the leading economic drivers of our time, with an estimated worldwide business value of $3.9 trillion USD by the year 2022. "


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Required Courses
YCBS 255 Statistical Machine Learning (4 CEUs)
Fundamental statistical machine learning concepts and tools using Python. Emphasis on descriptive statistics, statistical distributions, random number generation, basic data visualization; linear regression; basic classification; error estimation: cross-validation, bias-variance trade-off; shrinkage methods; dimension reduction; beyond linearity: smoothing splines, local regression, additive models; tree and ensemble methods; powerful classifiers; unsupervised learning.


The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More info.
YCBS 256 Data Science for Business Decisions (4 CEUs)
Overview of how data science can help drive business decisions and create new business models. Emphasis on data strategy, the data science lifecycle and process, business and analytics problem framing, overcoming challenges of implementing a data-driven business, including ethics, data governance, and privacy. Application of data science across various industries and business areas. Data science tools, including Alteryx and Tableau for data preparation, analysis, and visualization.

This course is aligned with the IIBA’s Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information.


The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More info.
YCBS 257 Data at Scale (6 CEUs)
Overview of various aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis on hands-on experience from data ingestion to analysis of large data sets, both data-at-rest and data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value.
YCBS 258 Practical Machine Learning (6 CEUs)
This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. Emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models. The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.
YCBS 299 Data Science Capstone Project (6 CEUs)
Integration and application of knowledge and skills gained during the program through hands-on projects supported by our industry partners to build a full data science pipeline from preparing, analyzing and visualizing data to building and testing models. Communication and presentation of insights and recommendations derived from data analysis using visualization and storytelling techniques.


Career and Professional Development
Phone: +1 514-398-5454
688 Sherbrooke Street West, Suite 1029 Montreal, Quebec, Canada H3A 3R1
Hours of Operation

Monday to Friday
9:00 a.m. to 5:00 p.m.

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