Part-time, in class and online Community Data Science Certificate

Program details

Format A combination of in-class (in Vancouver) and online
Schedule

The first three courses in the program (CDSC101, 102 and 103) will be delivered on the following schedule: 

Week 1

Wednesday: 2-hour online introductory session
Friday: in-person full-day session on campus
Saturday: in-person full-day session on campus

Week 2: break (no class)

Week 3
Friday: in-person full-day session on campus
Saturday: in-person full-day session on campus

Week 4
Wednesday: 2-hour online wrap-up session

Duration  The program can be completed in as little as seven months. You have up to two years to finish.
Upcoming term September 9, 2020 – April 14, 2021
Courses There are four required courses.
Learning materials

We will provide custom course materials. The cost of any textbooks are included in your tuition. We do require you to bring a personal PC laptop (with full administrative privileges) to class, with a recent install of Microsoft Excel.

Tuition Tuition is based on individual course fees.
Application fee $75 (non-refundable
Application deadline Apply anytime. There is no application deadline for this program.

Start with the first course

If you’re not ready for a program, we invite you to start with the first course, Community Data Science Theory and Practice (CDSC101). It's an excellent way to determine whether the full program is the right fit for you. After completing the course, you'll have the option of applying to the program and finishing the certificate.

Coursework: What to expect

We will email you the readings and assignments, and you'll complete the readings before the course/class begins.

If you’re a certificate student, you’ll complete take-home assignments for each course except the capstone studio course. Assignments are due three weeks after the last day of each course. You should plan to spend between 12 and 14 hours on each assignment, for which you’ll receive a letter grade.

In the final capstone studio course, your team will workshop a research project with classmates, and complete a team-based presentation. This course is graded on a pass or fail basis.

Technical requirements

We require all participants to bring a personal PC laptop (with full administrative privileges) to each session, including a recent install of Microsoft Excel. Work (or managed) laptops are not permitted since you will need full administrative privileges to install custom software packages (like Beyond 20/20, and Esri ArcGIS) that are required to complete the course.

Graduation requirements

To qualify for the Community Data Science Certificate, you must complete and pass all four required courses within two years of starting the program. When you finish your final course assignment, submit the graduation request form