Data Sciences

Acknowledgement of Completion
Women studying data on a computer monitor

Data science specialists require a unique set of skills to analyze the numbers and information that support organizational strategy and direction. Hone your knowledge in data sources, statistics, predictive analytics and business framing and become a sought after Big Data or Data Science professional.

View courses available this term under Program of Studies.

You do not need to apply to begin this program, simply ensure you meet the admission requirements (listed on the Admission & Registration tab) and then you may register for any available courses.

Interested in taking a single course? No problem. Provided you have the appropriate prerequisites, these courses can be taken individually or as part of the full program.

Program Contact
Continuing Education Technology
  • Ontario Secondary School Diploma (OSSD) or equivalent (Mohawk Academic Upgrading, GED) OR 19 years of age or older.

You do not need to apply to begin this program. Start by ensuring you meet the admission requirements listed above and then register for the courses listed in the Program of Studies when they are offered.  Some courses have prerequisites, so please check the Program of Studies for details. Find out how to register for a course.

The program of studies displayed below applies to students starting the program in the 2019/20 academic year.

Visit the Mohawk College Bookstore Textbook Search (opens in new window) for information on textbooks.

Successfully complete all seven courses in this suggested (NOT Mandatory) order: BUSN10120; INFO10291; INFO10290; INFO10293; INFO10295; INFO10292; INFO10289 course should be taken as the last course in the program.

Click on the course number below to check current availability and for registration information.

Mandatory Courses

Course Number Course Name Course Description
BUSN10120 Intro to Analytics and Big Data Examine the organizational goals and value provided by analytics and big data systems and processes. Learn the terminology and operating principles of these powerful technologies including the key planning aspects of implementation. Review the goals and roles of the stakeholders involved in analytics projects. 21 hours.
INFO10293 Advanced Statistics for Data Science Learn concepts and techniques for data mining. Apply a variety of probability distribution techniques to evaluate the probability of real world events. Discover logistic and multiple regression and how it is used in making predictions. Explore pattern evaluation methods for marketing data. 42 hours.
INFO10292 Big Data Tools

Introduces popular Big Data tools such as the Hadoop framework and NoSQL databases. Discover the basic concepts of MapReduce and Python scripting. Through various exercises, explore widely used software for Big Data like Hive, Pig, and Spark. 42 hours.

INFO10291 Business Problem Analysis and Data Modeling Understand the steps in the business analytics model cycle including transforming a business problem into an analytics problem, collecting and preparing data for analysis, building an analytic model and deployment. Use software for data preparation and analysis. 42 hours.
INFO10290 Data Exploration and Basic Statistics for Data Science Learn use statistical methods for collecting, analyzing, interpreting and presenting data. Apply descriptive statistics to problems to describe and interpret data. Explore inferential statistics for making probability decisions and accurate predictions. Use software to perform analysis. 42 hours.
INFO10289 Data Science Applied Project In the field of data science, the ability to craft sound recommendations and business strategies is essential. Work through a full data cycle to verify data, develop visualizations of multivariate data, and construct predictive analytics visualizations. Perform exploration, analysis and prediction processes while using appropriate visualization, reporting techniques and best practices to present findings to stakeholders. 42 hours.
INFO10295 Predictive Analytics and Machine Learning Introduces machine learning concepts and techniques. Learn to create and evaluate supervised and unsupervised machine learning models through the application of python libraries. Implement predictive models for diverse data types including natural language. 42 hours.

The list of scheduled course offerings for this program is below. Please note that all offerings are subject to change. Not every course is offered every semester, so please consider this schedule when planning your academic path.

Course Code
Course Name
Spring 2020
(May to Aug)

Fall 2020

Check back soon for

course offerings!

INFO10293 Advanced Statistics for Data Science


INFO10292 Big Data Tools OntarioLearn  
INFO10291 Business Problem Analysis and Data Modeling OntarioLearn  
INFO10290 Data Exploration and Basic Statistics for Data Science OntarioLearn  
INFO10289 Data Science Applied Project


INFO10295 Predictive Analytics and Machine Learning OntarioLearn  
Getting Started

Login to MyMohawk
MyMohawk is the college portal used to access your student account information, email, grades and more. Your username and password can be found on the Continuing Education Acknowledgement of Registration & Student Account form that was sent to you after you registered for your course. Visit the Getting Started - MyMohawk Guide for step-by-step instructions.

Access Mohawk Email
On the MyMohawk Home screen you will see a link to Mohawk email. Visit the Getting Started – Mohawk Email Guide to learn how to set up your account on your devices.

Access OntarioLearn
Visit to access your course. Visit the OntarioLearn Course page for step-by-step instructions. Please note your course will not appear in OntarioLearn until the scheduled start date.

Find your Textbook
Use the Mohawk College Textbook Search to find your course materials.

Explore Student Services available

Online learning courses provide you with the opportunity to learn online, anywhere, at your convenience!  You can study at home or at work - wherever you like, whenever you like, within a predetermined time frame.

Courses are delivered over a set time period and are led by instructors. Most courses do not require that you be online at a certain time of day or night, but that you are active in the course during the schedule. There are scheduled start and end dates and you cannot start courses late nor finish early.

Visit the OntarioLearn Course page to discover how to get started on OntarioLearn. Please note your course will not appear in OntarioLearn until the scheduled start date.

Visit Exams for Online Courses for everything you need to know about booking and writing your online learning exam.