Uncover the hidden value of big data
When you’re ready for an experienced-level of big data analytics, open source technologies and cloud computer platforms, our Big Data Programming & Architecture program can help you reach your goals. Expand on your current knowledge and stay ahead in this rapidly changing field.
Programming tools used:
Virtual Classroom
Approx. 7-9 hours per week, per course
Certificate: 12+ months
Schedule and fees
Open enrolment
Earning a Big Data Programming & Architecture Certificate or Certificate in Professional Learning could lead to a wide range of careers, including:
Upon completion of the program, students will:
Are you a current McMaster University undergraduate student?
Explore the ElevateYourSkills option to learn how you can earn a Big Data Programming & Architecture certificate as part of your degree.
Learn more here.
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.
Explore the requirements below and register today!
Earn the Certificate in Big Data Programming & Architecture by completing five elective courses from the courses listed.
Academic credit: 15 units
Students should possess a minimum of intermediate level prior education or work experience in the field of data analytics and/or statistics.
Bring Your Own Device (BYOD) policy
The Big Data Programming & Architecture 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
Big Data Programming & Architecture 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.
3.0 UNITS
$1,176.27
(Currently Not Available)
Earn the Certificate of Professional Learning in Big Data Programming & Architecture by completing three elective courses from the courses listed.
Academic credit: 9 units
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. There is no tax on courses unless indicated at the bottom of the schedule chart. Additional Fees: New students pay a one-time, non-refundable $39 activation fee for their first academic-credit course. Not every program or course requires textbooks. Learn more about textbooks. Learning Formats: Each course is offered in Online, Online Self-Study, or Virtual Classroom formats, as shown below. Visit Learning Formats for details.
The schedule table is subject to change. Please visit the course pages to browse classes currently available for registration and the latest cost information.
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.
To enrol in McMaster Continuing Education programs, you must:
To ensure you are successful in your online courses, you 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 your native language, you must meet McMaster University’s English proficiency requirements by either qualifying for an exemption or passing a McMaster-approved English test. You will not need to provide proof of meeting this English requirement prior to registration. If you demonstrate English proficiency below the required standard, you will be asked to provide proof or to withdraw.
A payment receipt email will be issued to you immediately after registering, and a course confirmation email will be sent to you overnight. Within approximately 24 hours of registering, you will also receive an important email containing credentials used to activate your MacID, which you must do before you can access courses in Avenue to Learn. Please review our Getting Started page to learn more about the next steps for beginning your studies after registration, and our Help Centre for our Refund Policy and other frequently asked questions. Please note that on average, each course requires 6-8 hours of study per week, per course (sometimes more) and some courses may have listed prerequisites. Please plan your schedule accordingly. Most students take 1-2 courses per term across a few different terms and a full-time equivalent course load is typically 3-4 courses per term.
For more information and a walkthrough on how to register, please check out this video.
Visit the Schedule tab to select your course and proceed with the registration steps.