Computer Science in Machine Learning

DigiPen Institute of Technology ETPL
The Bachelor of Science in Computer Science in Machine Learning prepares students to be competent computer scientists, software developers, data scientists, and machine learning scientists. Graduates will be able to understand, apply and create mathematical models, and to develop and optimize software that can make use of data in obtaining meaningful conclusions and correct predictions. Graduates of this program will be skilled at writing computer programs for the purposes of extracting and visualizing information. They will be proficient in mathematical and software development aspects of data science and machine learning. They will be able to use various tools such as Deep Learning and Distributed Data Management, in various applications such as Natural Language Processing and Computer Vision. Graduates will understand security, and the ethical implications and responsibilities.

Financial information

Total tuition

$158,880.00

Total required fees

$3,394.00

Books and supplies

$710.00

Locations

Redmond

Instructional methods

In-person Primary Location

Program details

4 Years

Length of training

Bachelor

Award type

N/A

Credits

N/A

Clock Hours

Additional details

Award name

BS

Prerequisites

No Selection

Other prerequisites

All applicants must have completed grade 12 or the equivalent and should have a minimum 2.5 cumulative GPA in their most recent studies. Further admission requirements are detailed on our website at https://www.digipen.edu/admissions/undergraduate-admissions/undergraduate-admissions-requirements/

Program languages

English

Certification/license obtained as part of training program

N/A

Certification/license test preparation provided

N/A

Employment performance results

Program type

Computer Science

Completion rate

0%

Employment rate

0%

Typical (median) hourly earnings

$0.00

Typical (median) annual earnings

$0.00

Top industries for graduates

Program type

Computer Science

Student characteristics

Enrollment
Number of students completing the program
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Completion rate
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Average number of students who completed each year
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Gender
Male
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Female
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Race
American Indian or Alaska Native
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Asian
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Black or African American
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Hispanic
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Native Hawaiian or Other Pacific Islander
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White
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Multi-racial
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Age
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40 to 49
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Prior education
No high school diploma/GED
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High school diploma/GED, but no college experience
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Some college experience, but no degree
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Certificate or AA
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BA or higher
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