5 Courses Required
 

Description

*The program should be completed within 2 years.

Equip yourself with the essential knowledge needed to work through a complete data science pipeline and to build machine learning models for specific goals such as prediction or classification.

Develop key competencies in data science, including:

  • Application of statistical analysis
  • Machine learning
  • Data mining
  • Data management
  • Data visualization

During the program, you will work in cross-functional teams to translate your learnings into business insights to help guide business decisions. 


Outcomes

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. 

Program Toolkit & Languages

  • Apache Hadoop
  • Apache Spark
  • Tableau 
  • Github 
  • Python 
  • Scala
  • SQL

Who Should Attend

  • Both established professionals and recent university graduates seeking to acquire essential technical data science and machine learning knowledge and skills or wishing to embark on a career in data science.
  • Individuals planning to pursue INFORMS Certified Analytics Professional (CAP®) certification or other similar designations.

Pre-requisites

  • Strong quantitative background
  • Proficiency in Excel, Access or other data analysis tools
  • Essential programming skills, preferably in Python

Students may take the following self-assessment online tests to establish their level of proficiency in Python. 

Students without prior knowledge of Python should complete the following Python courses online and provide proof of completion:

Additional Details

Application

Program
Professional Development Certificate in Data Science and Machine Learning
Admission Requirements
  • Bachelor of Engineering (B.Eng.); OR
  • Bachelor of Science (B.Sc.); OR
  • Bachelor of Commerce with a major or minor in Management Information Systems (B.Com MIS) OR
  • Applicants who do not hold a Bachelor's degree must have extensive and relevant experience in software programming or data analytics and have previously completed relevant coursework in calculus, statistics, or computer science. Applications will be evaluated on a case by case basis.

Documents required:

Please have electronic versions of the following documents available before starting the application process (clicking on “Apply Now”).

 

  • A copy of your passport (photo ID page) OR Canadian Birth Certificate OR Permanent Resident Card OR Citizenship Card/Certificate

AND

For applicants with a Bachelor's degree in Engineering OR Science OR Commerce with a major in Management Information Systems OR Commerce with a minor in Management Information Systems

  • A copy of your Bachelor's degree transcript AND a copy of your diploma. Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

For applicants with a Bachelor's degree in another field AND extensive professional experience in software programming or data analytics AND have previously completed relevant coursework in calculus, statistics, or computer science

  • A copy of your Bachelor's degree transcript AND a copy of your diploma. Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.
  • A copy of your curriculum vitae (CV).
  • A letter of intent.

For applicants who do not hold a Bachelor's degree BUT have extensive professional experience in software programming or data analytics AND have previously completed relevant coursework in calculus, statistics, or computer science

  • A copy of your transcript (highest level of education). Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.
  • A copy of your curriculum vitae (CV).
  • A  letter of intent.

Courses

Minimum

5 Course(s)