Overview
Learn to find analytical solutions to business problems
When it’s time to take your digital data skills to the next level, our Data Science Program can help you achieve your goals. This intermediate-level program is ideal for individuals who already have an introductory background and work experience in a data analytics related field.
- Learn technical concepts from leading practitioners in a convenient virtual classroom setting
- Designed for busy professionals with two pathways, earn a certificate or certificate of professional learning
- Benefit from hands-on courses and computer lab training with the latest industry tools
- Work individually and in teams to complete course projects and build a professional portfolio
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Program highlights Learn More
- Intermediate courses to advance your digital data skills
- Individual and team projects led by industry experts
- Earn a certificate or certificate of professional learning
Data Science program features:
- Virtual classroom courses taught by industry experts who transform theoretical concepts into real-world applications
- Intermediate level of content is ideal for students with prior academic and work experience
- Gain industry-relevant data science skills
- Network with other digital data professionals

Learning outcomes Learn More
- Translate a business problem into an analytics problem
- Problem-solving techniques and industry software tools
- Build a professional portfolio through coursework
Through our Data Science program, you’ll learn to:
- Identify a business problem and determine if and how an analytics solution is applicable
- Propose and refine analytical solutions to business problems
- Collect, analyze and share data
- Identify relationships in data
- Select appropriate problem-solving techniques and software tools to test analytical solutions
- Employ industry software tools
Programming tools used:
- Python
- SAS
- R
- Tableau
- Linux
- PowerBI
- SQL and NOSQL technologies (e.g. Cassandra)
- MongoDB & Atlas
- Ataccama DQ
- Metadata Manager / Excel
- Hadoop (MapReduce), DataBricks, HDFS, PIG Spark & Kafka, HBase
Learn more about the Data Science program
- Students or recent graduates from programs with introductory level analytics, statistics, and/or business intelligence courses
- Professionals with prior academic and work experience in data analytics and/or introductory level of data science, and related technology topics
- Employees in finance, insurance, health care, marketing, retail, government, logistics, transportation, information systems, media/entertainment sectors, or other sectors that utilize data analysis
- Individuals seeking a new career path in technology, informatics, business intelligence, web analytics, data collection, and Machine Learning
- Students interested in enrolling in advanced data program streams in big data programming and architecture but need to acquire prerequisite knowledge
Earning a Certificate or a Certificate of Professional Learning could open doors to exciting roles as:
- Data Analysts
- Business Analysts
- Business Intelligence Developers
- Computer & information research scientists
- Quantitative analysts
- Data storytellers / Data modelers
- Statistical Analysts
- Marketing Scientists
- Machine Learning Scientists
- Data Scientists
Check out our latest Technology and Data Program Preview webinar to learn more about our Data Science program
What Our Recent Graduates Say
“The flexibility of the course helped me a lot to balance my work.”
The flexibility of the course helped me a lot to balance my work. Our field in data is continuously changing. I found that sweet balance in terms of the focus of the course. It’s a life cycle of how the data is coming in all the way to make it a service or a product. The course gives you that 360 spectrum.
Zaki
Big Data graduate

Krystal
Health and Social Service Skill Development graduate
“I wanted to reinvent myself and change my career path and I was able to do that.”
I wanted to be able to reinvent myself and change my career path and I was able to do that because of McMaster Continuing Education. Being a nurse, there are so many different avenues of nursing that I can try new things and continue to learn. The instructors were really understanding. When you’re working full-time, having someone that will promptly answer your questions and make time for you when you need it, they made it really easy.
Krystal
Health and Social Service Skill Development graduate

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
“The flexibility of the course helped me a lot to balance my work.”
The flexibility of the course helped me a lot to balance my work. Our field in data is continuously changing. I found that sweet balance in terms of the focus of the course. It’s a life cycle of how the data is coming in all the way to make it a service or a product. The course gives you that 360 spectrum.
Zaki
Big Data graduate
“I wanted to reinvent myself and change my career path and I was able to do that.”
I wanted to be able to reinvent myself and change my career path and I was able to do that because of McMaster Continuing Education. Being a nurse, there are so many different avenues of nursing that I can try new things and continue to learn. The instructors were really understanding. When you’re working full-time, having someone that will promptly answer your questions and make time for you when you need it, they made it really easy.
Krystal
Health and Social Service Skill Development 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
Other programs you may be interested in
Certificates in Data Science
CERTIFICATE In Data Science
Pursue your Certificate in Date Science with McMaster Continuing Education
Explore the requirements below and register today!
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Certificate in Data Science
Earn the Certificate in Data Science by completing five elective courses from the courses listed.
Certificate in Data Science Requirements
Academic credit: 15 units
Students should possess a minimum of introductory level prior education or work experience in the field of data analytics, statistics.
Bring Your Own Device (BYOD) policy
The Data Science 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 Science 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 201
Data Analytics & Modelling
3.0 UNITS
DAT 202
Data Management
3.0 UNITS
DAT 204
Data Analytics Tools
3.0 UNITS
DAT 205
Data Science Capstone Project
Certificate of Professional Learning in Data Science
Pursue your Certificate of Professional Learning in Data Science with McMaster Continuing Education
Explore the requirements below and register today!
Information Box Group

Certificate of Professional Learning in Data Science
Earn the Certificate of Professional Learning in Data Science by completing three elective courses from the courses listed.
Certificate of Professional Learning in Data Science Requirements
Academic credit: 9 units
Students should possess a minimum of introductory level prior education or work experience in the field of data analytics, statistics.
Bring Your Own Device (BYOD) policy
The Data Science 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 Science 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 201
Data Analytics & Modelling
3.0 UNITS
DAT 202
Data Management
3.0 UNITS
DAT 204
Data Analytics Tools
3.0 UNITS
DAT 205
Data Science Capstone Project
Data Science Courses
Data Science Courses
Advance your career with online Data Science courses
Explore course options below and register today!
Information Box Group
3.0 UNITS
DAT 201
Data Analytics & Modelling
3.0 UNITS
DAT 202
Data Management
3.0 UNITS
DAT 204
Data Analytics Tools
3.0 UNITS