Program Overview

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Data Analytics Program

The Data Analytics program is designed to equip students with the latest in-demand data analytics skills, enabling them to achieve their career goals. Developed in collaboration with top industry experts, MacDATA Institute, and McMaster University's DeGroote School of Business, this program offers a comprehensive curriculum that covers the latest data analytics programs and tools.

Program Highlights

• Online/virtual classroom format using the latest industry programs and tools
• Learn from top industry experts by working on real-world projects and assignments
• Experience hands-on lab sessions
• Open enrolment program

Data Analytics Program Features

• Equips students with the latest in-demand data analytics skills
• Interact with instructors and peers in an online/virtual classroom
• Master the latest data analytics software and tools
• Experience hands-on lab sessions
• Network with professionals from various disciplines
• Learn from industry experts
• Work on projects and assignments relevant to today's marketplace

What You'll Learn

• Statistics, data analytics, big data, machine learning, and technical/software applications
• How to collect, analyze, interpret, share, identify, and visualize relationships in data
• The principles and uses of AI and how to employ data models in business intelligence (BI)

Programming Tools Used

• Python
• SAS
• R
• Intermediate and expert Level Excel
• Tableau
• Linux
• PowerBI
• SQL and NOSQL technologies (e.g., Cassandra)

Program Overview

• Online; Virtual Classroom; Online Self-study
• Approx. 7-9 hours per week, per course
• Certificate: 8+ months
• Schedule and fees
• Open enrolment

Admission Requirements

This program is open enrolment, which means there is no formal application or admission procedure. To enrol in a course, simply register online. Our courses can be taken as part of a program or individually.

Requirements

• Have an Ontario Secondary School Diploma or equivalent OR
  • Be a mature student as defined in the Undergraduate Calendar of McMaster University OR
  • Be deemed an exceptional case
• To ensure success in online courses, students are required to have knowledge and skills with general computer applications, such as keyboarding, file management, video conferencing, and word processing.

Language Requirements

If English is not the student's native language, they must meet McMaster University's English proficiency requirements by either qualifying for an exemption or passing a McMaster-approved English test.

Certificate in Data Analytics

Earn the Certificate in Data Analytics by completing five elective courses from the courses listed.

Certificate Requirements

• Academic credit: 15 units
• Students have 3 years to complete the certificate.
• Note: Open Source Intelligence courses are non-credit, however, students may request permission to apply OSI 101 and/or OSI 102.
• Bring Your Own Device (BYOD) policy: The Data Analytics program follows a Bring Your Own Device (BYOD) policy. Prior to enrolling, it is recommended to review course outlines for laptop and desktop requirements as courses may need a minimum level of technology specification.

Microsoft Excel

Data Analytics requires varying degrees of proficiency in Microsoft Excel. Basic knowledge of Microsoft Excel is recommended to be successful in the courses. Excel course modules are available through LinkedIn Learning, free of charge, to all active McMaster University students.

Additional Training

Additional training is available for Python programming, SQL, and PowerBI through our partner Ed2Go.

Courses

• DAT 100: Foundations of Computer Programming
• DAT 101: Statistics for Data Analysis
• DAT 102: Working with Databases
• DAT 103: Business Intelligence & Data Analytics
• DAT 104: Data Analysis and Visualization
• DAT 105: Artificial Intelligence (AI) for Business: An Introduction
• DAT 201: Data Analytics & Modelling
• OSI 101: Tradecraft and Operations
• OSI 102: Python for Basic Collection

Data Analytics Schedule

Data Analytics course schedules to help plan the academic year.

Registration

• Fall and Winter terms open in mid-July and Spring term opens in mid-March.
• Program Requirements: Review certificate or diploma tab.
• Time Zone: Courses run in the Eastern Time (ET) Zone.
• Course Fees: A McMaster Part-Time Student fee is included in the cost of academic credit courses.
• Additional Fees: New students pay a one-time, non-refundable $39 activation fee for their first academic-credit course.

Learning Formats

Each course is offered in Online, Online Self-Study, or Virtual Classroom formats.

Certificate of Professional Learning in Data Analytics

Earn the Certificate of Professional Learning in Data Analytics by completing three elective courses from the courses listed.

Certificate Requirements

• Academic credit: 9 units
• Students have 3 years to complete the certificate.
• Note: Open Source Intelligence courses are non-credit, however, students may request permission to apply OSI 101 and/or OSI 102.
• Bring Your Own Device (BYOD) policy: The Data Analytics program follows a Bring Your Own Device (BYOD) policy. Prior to enrolling, it is recommended to review course outlines for laptop and desktop requirements as courses may need a minimum level of technology specification.

Microsoft Excel

Data Analytics requires varying degrees of proficiency in Microsoft Excel. Basic knowledge of Microsoft Excel is recommended to be successful in the courses. Excel course modules are available through LinkedIn Learning, free of charge, to all active McMaster University students.

Additional Training

Additional training is available for Python programming, SQL, and PowerBI through our partner Ed2Go.