Arizona State University
Arizona State University

Master of Science in Computational Life Sciences

The Master of Science in Computational Life Sciences at Arizona State University is a compelling choice for students seeking to bridge the gap between biology and computation. ASU boasts a strong reputation in interdisciplinary research and offers state-of-the-art facilities, including advanced computing resources and collaborative research spaces. This program provides a unique opportunity to develop expertise in analyzing complex biological data and applying computational methods to solve critical problems in healthcare, biotechnology, and beyond.

public International Students
schedule Duration

24 Months

school Level

Masters

location_on Location

United States

stars Credits

30

menu_book Syllabus & Modules

01

Bioinformatics

Core Module

02

Genomics

Core Module

03

Proteomics

Core Module

04

Systems Biology

Core Module

05

Data Mining

Core Module

06

Machine Learning

Core Module

07

Statistical Modeling

Core Module

08

Algorithm Design

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$75k - $110k

Core Focus & Roles

Bioinformatician Data Scientist Research Scientist Computational Biologist
Graduates can pursue careers in research, development, and data analysis within pharmaceutical companies, biotechnology firms, healthcare organizations, and academic institutions. Target industries include personalized medicine, drug discovery, agricultural technology, and environmental science. Professional opportunities exist in data analysis, software development, and scientific research, contributing to advancements in understanding and treating diseases, improving crop yields, and protecting the environment.

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 6.5
TOEFL 80
PTE 60
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

event

Document Submission Deadline

Fall :- January 15

event

Application Deadline

Fall :- January 15

Apply for this Course open_in_new Official Course open_in_new
event

Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
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