Graduate Embedded Certificate in Data Science (DS) (Mathematical and Statistical Sciences) [Graduate]

The growing availability of large data sets in industry and government increases the demand for qualified data analysts. The Graduate Embedded Certificate in DS allows PhD and MSc students in theory based mathematics programs to upgrade their qualifications towards data analysis. The DS embedded certificate is open to registered students in MSc and PhD programs in Mathematics, Applied Mathematics, and Mathematical Physics.

For the DS embedded certificate

For the DS embedded certificate it is required that students complete the Graduate Teaching and Learning Certificate Level 1 (GTL Level 1) plus ★9 chosen from the following list:

BIOL 501 - Applied Bioinformatics
CMPUT 551 - Topics in Artificial Intelligence (this course requires solid programming skills. It is highly recommended to first take CMPUT 174 and CMPUT 175 )
CMPUT 659 - Topics in Artificial Intelligence
MATH 508 - Computational Finance
STAT 501 - Directed Study I
STAT 502 - Directed Study II
STAT 503 - Directed Study III
STAT 504 - Directed Study IV
STAT 505 - Directed Study V
STAT 568 - Design and Analysis of Experiments
STAT 575 - Multivariate Analysis
STAT 578 - Regression Analysis

Additional Information

Other courses may be approved in consultation with the Associate Chair (Graduate Studies) at the Department of Mathematical and Statistical Sciences.

Upon successful completion of the graduate program, inclusive of the designated DS embedded certificate courses, and the GTL Level 1, the student will be awarded the Graduate Embedded Certificate in Data Science in addition to their graduate degree.