Part-time, in class and online Community Data Science Certificate
|Format||Part-time in Vancouver and online|
The first three courses in the program (CDSC101, 102 and 103) will be delivered on the following schedule:
Wednesday: 2-hour online introductory session
|Duration||The program can be completed in as little as seven months. You have up to two years to finish.
|Upcoming term||September 11, 2019 – April 25, 2020|
|Courses||There are four required courses.|
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||The first three courses are $1,412 each, and the final studio course is $1,883. $6,119 total for the whole certificate.|
|Application fee||$75 (non-refundable)|
|Application deadline||August 30, 2019|
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), which begins September 11, 2019. 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.
The remainder of the courses in the certificate (CDSC102, CDSC103 and CDSC104) are not available for open registration. You must complete the necessary prerequisites in order to take them. Please refer to the course section for details.
Coursework: What to expect
You’ll complete any reading before many of your courses begin. We’ll email you these assignments a week before the first class session.
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.
You’ll work through the program with a cohort—a group of professionals with whom you’ll share professional experiences, ideas and expertise.
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.
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.