Arizona State University
Arizona State University

Master of Science in Data Science, Analytics and Engineering - Computing and Decision Analytics

Arizona State University's MS in Data Science, Analytics and Engineering with a focus on Computing and Decision Analytics is a compelling choice due to ASU's strong reputation in data science and engineering. The program leverages state-of-the-art computing facilities and research opportunities. This program offers a blend of theoretical knowledge and practical skills, preparing graduates for impactful roles in data-driven decision-making across various industries. The curriculum is designed to meet the evolving needs of the data science field.

science STEM Designated
schedule Duration

24 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 Management

Core Module

05

Big Data Analytics

Core Module

06

Optimization Techniques

Core Module

07

Decision Analysis

Core Module

08

Data Visualization

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$90k - $130k

Core Focus & Roles

Data Scientist Data Analyst Business Intelligence Analyst Machine Learning Engineer
Graduates can pursue careers in various industries, including technology, finance, healthcare, and consulting. Opportunities exist in data analysis, machine learning engineering, business intelligence, and data-driven decision-making. Target industries include tech companies, financial institutions, healthcare providers, and government agencies.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 7
TOEFL 90
PTE 58
Duolingo 105
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MAX. Backlogs Allowed

5

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Application Fee

Waiver Available

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Deposit Fee

Yes

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Document Submission Deadline

Fall :- January 15

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Application Deadline

Fall :- January 15

Apply for this Course open_in_new Official Course open_in_new
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Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
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