Overview
Gain in-demand data analytics skills and earn a certificate online
Whether you’re starting your career, making a career move, or looking to upskill, our Data Analytics program can help you achieve your goals. Get your head start in this rapidly growing industry today.
- Developed in collaboration with top industry experts, MacDATA Institute and McMaster University’s DeGroote School of Business
- Gain knowledge and skills, using the latest data analytics program and tools
- Earn a Certificate
Information Box Group

Program highlights Learn More
- 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 you 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 marketplace

What you'll learn Learn More
- 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)
Through our Data Analytics program, you’ll learn:
- Statistics, data analytics, big data, machine learning and technical/software applications
- How to collect, analyze, interpret and share data and how to identify relationships in data
- Problem-solving and information visualization techniques and tools
- Trends and potential uses of artificial intelligence (AI) in various industries
- How to employ data models in business intelligence (BI) and data analysis case studies
Programming tools used:
- Python
- SAS
- R
- Intermediate and expert Level Excel
- Tableau
- Linux
- PowerBI
- SQL and NOSQL technologies (e.g. Cassandra)
Learn more about the Data Analytics program
- Professionals interested in entering the fields of data analytics, technology, informatics, business intelligence, web analytics or data collection
- Professionals with limited academic and work experience in data analytics and related technology fields
- Anyone interested in data analysis and data collection
- Students interested in prerequisite knowledge prior to pursuing our intermediate or advanced data programs such as Data Science and Big Data Programming & Architecture
Earning a Certificate in Data Analytics could open doors to a variety of rewarding careers, including:
- Data Analyst
- Business Intelligence Analyst
- Statistical Analyst
- Database Analyst
- Data Management
- Data Quality Manager /Analyst
- Digital / Marketing Analyst
Are you a current McMaster University undergraduate student?
Explore the ElevateYourSkills option to learn how you can earn a Data Analytics certificate as part of your degree.
- Use your electives to earn a professional certificate or diploma
- Fully online courses that you can fit into your schedule
- Providing you with real-life career skills and experience before you graduate
Check out our latest Technology and Data Program Preview webinar to learn more about our Data Analytics program
What Our Recent Graduates Say

Tracy
Project Management graduate
“I am constantly reinventing myself. McMaster Continuing Education has been transformative.”
I am constantly reinventing myself. McMaster Continuing Education has been transformative. I was introduced to new ideas and new skills. Because of that, I’ve had new opportunities in my career. McMaster Continuing Education is the best place to take professional development courses. The programs fit into your life.
Tracy
Project Management graduate

Adam
Business Administration graduate
“I feel very strongly that McMaster Continuing Education can really help you reinvent your career.”
I feel very strongly that McMaster Continuing Education can really help you reinvent your career. I found that the Business Administration program was really the best fit for me, because the learning that I was able to take in through this program was really cutting edge and current to the labour market. The learning that I took on is something I use every day.
Adam
Business Administration graduate

Tyson
Business Administration - Marketing graduate
“The instructors worked in the marketing field and taught us real-life experiences.”
Obtaining an education with McMaster Continuing Education helped me reinvent my career. I was a former banker and I wanted a career in marketing. Through this program, I was able to bridge that gap and get into the career that I wanted. The instructors were working in the marketing field, teaching us real-life experiences and that was very valuable to me.
Tyson
Business Administration - Marketing graduate
“I am constantly reinventing myself. McMaster Continuing Education has been transformative.”
I am constantly reinventing myself. McMaster Continuing Education has been transformative. I was introduced to new ideas and new skills. Because of that, I’ve had new opportunities in my career. McMaster Continuing Education is the best place to take professional development courses. The programs fit into your life.
Tracy
Project Management graduate
“I feel very strongly that McMaster Continuing Education can really help you reinvent your career.”
I feel very strongly that McMaster Continuing Education can really help you reinvent your career. I found that the Business Administration program was really the best fit for me, because the learning that I was able to take in through this program was really cutting edge and current to the labour market. The learning that I took on is something I use every day.
Adam
Business Administration graduate
“The instructors worked in the marketing field and taught us real-life experiences.”
Obtaining an education with McMaster Continuing Education helped me reinvent my career. I was a former banker and I wanted a career in marketing. Through this program, I was able to bridge that gap and get into the career that I wanted. The instructors were working in the marketing field, teaching us real-life experiences and that was very valuable to me.
Tyson
Business Administration - Marketing graduate
Other programs you may be interested in
Certificates in Data Analytics
CERTIFICATE In Data Analytics
Pursue your Certificate in Data Analytics with McMaster Continuing Education
Explore the requirements below and register today!
Information Box Group

Certificate in Data Analytics
Earn the Certificate in Data Analytics by completing five elective courses from the courses listed.
Certificate in Data Analytics 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. Please visit LinkedIn Learning for more information.
Do you need additional training?
Additional training is available for Python programming, SQL, and PowerBI through our partner Ed2Go. Please visit our Professional Development page for more information.
Courses (Complete any 5)
3.0 UNITS
DAT 101
Statistics for Data Analysis
3.0 UNITS
DAT 102
Working with Databases
3.0 UNITS
DAT 104
Data Analysis and Visualization
3.0 UNITS
DAT 201
Data Analytics & Modelling
Certificate of Professional Learning in Data analytics
Pursue your Certificate of Professional Learning in Data Analytics with McMaster Continuing Education
Explore the requirements below and register today!
Information Box Group

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 of Professional Learning in Data Analytics 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. Please visit LinkedIn Learning for more information.
Do you need additional training?
Additional training is available for Python programming, SQL, and PowerBI through our partner Ed2Go. Please visit our Professional Development page for more information.
Courses (Complete any 3)
3.0 UNITS
DAT 101
Statistics for Data Analysis
3.0 UNITS
DAT 102
Working with Databases
3.0 UNITS
DAT 104
Data Analysis and Visualization
3.0 UNITS
DAT 201
Data Analytics & Modelling
Data Analytics Courses
Data Analytics Courses
Advance your career with online Data Analytics courses
Explore course options below and register today!
Information Box Group
3.0 UNITS
DAT 101
Statistics for Data Analysis
3.0 UNITS
DAT 102
Working with Databases
3.0 UNITS
DAT 104
Data Analysis and Visualization
3.0 UNITS
DAT 201
Data Analytics & Modelling
*Open Source Intelligence courses are non-credit, however students may request to apply OSI 101 and/or OSI 102 to the Data Analytics Certificate or Certificate of Professional Learning.
Data Analytics Schedule
Data Analytics Schedule
This schedule table displays courses planned to be offered this year and is a guide to planning your courses for the academic year. Please note: Spring term registration opens mid-March and Fall/Winter term registration opens mid-July. The schedule table is subject to change. Please visit the course pages to browse classes currently available for registration and the latest cost information.
Learning format definitions:
- VC = Virtual Classroom learning format
- O = Online learning format
- OSS = Online Self-Study learning format
For more information about our learning formats and to choose a format that works best for you, please visit our Learning Formats page.
Course Name (Course Code) | Winter 2023 | Spring 2023 |
---|---|---|
Foundations of Computer Programming (DAT 100) | Date: Jan 9 – Apr 9
Format: O |
Date: May 1 – Jun 15
Format: O |
Statistics for Data Analysis (DAT 101) | Date: Mon, Jan 23 – Mar 27
Time: 6:30 – 9:45 p.m. Format: VC |
Date: Sun, May 7 – Jul 16
Time: 9:30 a.m. – 12:30 p.m. Format: VC |
Working with Databases (DAT 102) | Date: Jan 9 – Apr 9
Format: O |
Date: May 1 – Jun 15
Format: O |
Business Intelligence & Data Analytics (DAT 103) | Date: Sun, Jan 29 – Mar 26
Time: 9:30 – 12:30 p.m. Format: VC |
Date: Sun, Jun 11 – Aug 13
Time: 9:30 – 12:30 p.m. Format: VC |
Data Analysis and Visualization (DAT 104)
|
Date: Thurs, Jan 26 – Mar 23
Time: 6:30 – 9:30 p.m. Format: VC |
Date: Wed, May 3 – Jun 28
Time: 6:30 – 9:30 p.m. Format: VC |
Artificial Intelligence (AI) for Business: An Introduction (DAT 105)
|
Date: Tues, Jan 31 – Mar 28
Time: 6:30 – 9:30 p.m. Format: VC |
|
Data Analytics & Modelling (DAT 201)
|
Date: Sat, Jan 14 – Apr 15
Time: 9:00 a.m. – 12:00 p.m. Format: VC |
Date: Sat, May 6 – Aug 12
Time: 9:00 a.m. – 12:00 p.m. Format: VC |
Tradecraft and Operations (OSI 101)
|
Date: Wed, Feb 1 – Mar 29
Time: 6:30 – 9:30 p.m. Format: VC |
Date: Mon & Wed, May 15 – Jun 15
Time: 6:30 – 9:30 p.m. Format: VC |
Python for Basic Collection (OSI 102)
|
Date: Feb 1 – May 1
Format: OSS |
Date: Jun 1 – Aug 29
Format: OSS |