University of California Riverside
University of California Riverside

Master of Science in Computational Data Science

The Master of Science in Computational Data Science at UC Riverside provides a robust curriculum blending theoretical foundations with practical applications in data analysis and machine learning. UCR's strong reputation in STEM fields, coupled with access to advanced computing resources and research labs, positions graduates for success in a rapidly evolving data-driven landscape. The program emphasizes interdisciplinary collaboration, preparing students to tackle complex challenges across various industries. Furthermore, UCR's location in Southern California provides networking opportunities with tech companies and research institutions.

science STEM Designated
schedule Duration

21 Months

school Level

Masters

location_on Location

United States

stars Credits

30

menu_book Syllabus & Modules

01

Data Mining

Core Module

02

Machine Learning

Core Module

03

Statistical Modeling

Core Module

04

Database Systems

Core Module

05

High-Performance Computing

Core Module

06

Data Visualization

Core Module

07

Deep Learning

Core Module

08

Cloud Computing

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$90k - $130k

Core Focus & Roles

Data Scientist Machine Learning Engineer Data Analyst Business Intelligence Analyst
Graduates often pursue careers in technology, finance, healthcare, and research, applying data-driven insights to solve critical problems. Target industries include software development, consulting, data analytics, and scientific research. Professional opportunities range from data scientist roles to specialized positions in machine learning engineering and data architecture.

Entry Requirements

language

English & Others

check

Accepts 15 Years Education

yes

GMAT 570
GRE 320
IELTS 6.5
TOEFL 90
PTE 60
Duolingo 120
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MAX. Backlogs Allowed

10

check

Application Fee

155

event

Application Deadline

1-Jun

Apply for this Course open_in_new Official Course open_in_new
school

Academic

  • Min GPA 3
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