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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 (Passcode: zZB3D32U)
Career Pathways in Data Analytics, Data Science and Machine Learning
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.
Fighting Disruption and Fuelling Competitive Advantage with AI
Learn how ScaleAI, Bell Canada, the McGill School of Continuing Studies, and other partners are helping empower today’s businesses to better face the challenges posed by disruption.
The Human and Technical Challenges of Data Science Projects in Large Organizations
During this interactive webinar, Cyprien Henry, PhD, Founder of Data Adepts, will offer lessons learned, both from a technical and human perspective, from two data science projects involving NLP completed in different industries: finance and manufacturing.
If you are seeking to acquire essential technical data science and machine learning knowledge and skills, then this program is perfect for you. It will put you on the right path towards a career as a: data analyst, data engineer, data journalist, machine learning practitioner, or data scientist.
Offered online, you can develop key competencies in data science, including:
- Application of statistical analysis
- Machine learning
- Data mining
- Data management
- Data visualization
During the program, you will have the opportunity to work in cross-functional teams to translate your learnings into business insights to help guide business decisions.
Once registered, students get free access to DataCamp (available for all courses) for 6 months and Tableau Desktop and Alteryx Designer (selected courses only) for the duration of the program.
This program should be completed within 2 years.
Essential programming skills in Python are necessary in order to succeed in this program. Please, refer to “Prerequisites”.
- Python
- Alteryx
- Tableau
- SQL
- Github
- Hadoop (local and in the Cloud)
- Apache Spark
- Scala
The program is designed to enable you to:
- Demonstrate solid understanding of relevant statistical, mathematical concepts and computational tools.
- Apply essential data science tools to ingest, clean, process and analyze various large data sets using batch and streaming modes.
- Work through all the phases of a complete data science pipeline with structured and unstructured data.
- Test and evaluate different machine learning techniques, and learn how to select the proper one in order to solve a business problem.
- Formulate a business need or problem into a data science project and select the proper tools and algorithms needed.
- Interpret and effectively communicate data insights by using data visualization and storytelling techniques and translate them into business-specific knowledge.
- Strong quantitative background
- Proficiency in Excel, Access or other data analysis tools
- Essential programming skills in Python are necessary in order to succeed in this program.
You can assess your level of Python proficiency through any of the following online tests:
- https://www.pluralsight.com/paths/python
- https://www.testdome.com/tests/python-online-test/45
- https://tests4geeks.com/python
- https://www.techgig.com/skilltest/python
Students without prior knowledge of Python should complete at least one of the following courses, or similar:
Applicants must hold a minimum of one of the following degrees:
- Bachelor of Engineering (B.Eng.)
OR - Bachelor of Science (B.Sc.)
OR - Bachelor of Commerce in MIS (B.Com MIS)
OR - Bachelor degree in another field and complete the course YCBS 286 – Introduction to Data Analytics with Python
Note:
Applications from mature students* who do not meet the above criteria but have extensive and relevant experience in software programming or data analytics and have previously completed relevant coursework in calculus, statistics, or computer science will be evaluated on a case by case basis.
*Applicants who are 21 years of age or older
To be admitted to a Professional Development Certificate, proof of English proficiency is not required. However, since the language of instruction is English, a good command of English is required in order to perform well in courses and complete the program.
This program admits new students in the following semesters:
- Fall
- Winter
Please make sure to verify application deadline and apply before the deadline for that session.
The application deadlines for this program are as follows:
- Fall: August 30
- Winter: December 15
Professional Development Certificates are non-credit programs and as such, are not eligible for financial aid or awards such as Quebec’s loans and bursaries program (AFE).
Please note that tuition fees paid for courses as part of Professional Development Certificates are eligible for official tax receipts (T2202A and Relevé 8).
Fees for this program paid per course at the time of registration. Please find the list of courses and corresponding fees at mcgill.ca/continuingstudies/pdc-fees.
Please follow these steps to submit your application to a Professional Development Certificate program:
STEP 1: PREPARE
- Choose the Professional Development Certificate you would like to apply to.
- Ensure you have a valid email address and credit card on hand to pay the application fee (Visa, MasterCard or American Express).
- From the list of programs, select the certificate you would like to apply for. Click “Learn More”. Then click on “Apply Now” at the top of the page.
- Review the admission requirements for the program to ensure you meet the criteria.
- Ensure you have all necessary documentation required for your application as indicated in the “Documents Required” section.
STEP 2: APPLY
- Scroll down and click on “Apply Now” in the righthand column of the screen.
- Review the information displayed and click “Apply Now”.
- If you have Athena credentials, log in. If not, create an account.
- Complete the rest of the application with all required information.
- Once you have applied online, you will receive a confirmation email acknowledging receipt of your application.
STEP 3: CHECK STATUS
- You can check the status of your application at any time using Athena.
- Once a decision has been made, admitted students will receive a notification by email confirming their admission to the program, along with registration instructions. You can then register for courses online during the appropriate registration period.
Difficulty Applying Online?
If you have any problems with your online application, or if you have questions regarding admission requirements and procedures, contact Client Services at the McGill School of Continuing Studies at info.conted [at] mcgill.ca or call 514-398-6200.
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From Software Engineer to Data Engineer Thanks to McGill’s Professional Development Certificate in Data Science and Machine Learning
Courses
(30 INFORMS PDUs)
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.
This course is aligned with the IIBA’s Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information.
(30 INFORMS PDUs)
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.
Contacts
(Non-credit courses and programs)
Monday to Friday
9:00 a.m. to 5:00 p.m.
