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University of Washington Professional and Continuing Education
ETPL
In this three-course certificate program, we’ll prepare you for the machine learning scientist or machine learning engineer role. We’ll examine both the mathematical and applied aspects of machine learning. You’ll study the underlying algorithms and statistical methods that are at the core of machine learning techniques. We’ll also apply these practices using the most popular tools and platforms — along with your developing judgment and intuition — to address actual business needs and real-world challenges.
Certification/license obtained as part of training program
N/A
Certification/license test preparation provided
N/A
Employment performance results
Program type
Mathematical Statistics and Probability
Completion rate
64%
Employment rate
91%
Typical (median) hourly earnings
$86
Typical (median) annual earnings
$167,600
Top industries for graduates
Program type
Mathematical Statistics and Probability
Professional, Scientific, Technical Services
30%
Information
25%
Manufacturing
21%
Other Industries
10%
Education
9%
Careers for graduates
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Statewide earnings and employment trends for related jobs
Average number of students who completed each year
45
Gender
Male
80%
Female
20%
Race
American Indian or Alaska Native
0%
Asian
23%
Black or African American
3%
Hispanic
17%
Native Hawaiian or Other Pacific Islander
0%
White
57%
Multi-racial
0%
Other
0%
Age
Under 20
0%
20 to 29
13%
30 to 39
50%
40 to 49
22%
50 and over
14%
Prior education
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
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