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QS Rank:

verified

12

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University of California Berkeley

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California

United States

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Total Tuition Fees

$2,30,625

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Duration

60 Months

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Median Salary

$1,10,000

Ranking

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#4

US World and News Report

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#12

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

2 Years

Diversity

Others:

10%

United States:

35%

International:

25%

California:

30%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

Prospective Job Roles

Software Developer

Research Scientist

Electronics Engineer

Power Electronics Engineer

Electrical Inspector

Data Engineer

Electrical Project Manager

Microelectronic Engineer

Electrical Systems Designer

Data scientist

Top recruiters

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Eligibility Criteria

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Accepted fields include Computer Science, Electrical and Electronics Engineering, Electrical Engineering and Computer Science, Electrical Engineering.

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At least 3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

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At least 24 months of full-time professional experience after graduation.

English Proficiency Tests

  • TOEFL

    90

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  • IELTS

    7

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 155

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    Transcript

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    Statement of Purpose

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    Academic LOR

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    Professional LOR

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    Resume

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    Passport

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    IELTS

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    Class 12 Marksheets

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    Class 10 Marksheets

Application Deadlines

Regular
FallDec 9, 2025

Fees and Funding

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Tuition Fees

$46,125.5 / year

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Overall Cost

$61,125 / year

FAQs

  • While not strictly required, a strong background in computer science fundamentals, mathematics (linear algebra, probability, optimization), and relevant AI or data science coursework or research is highly recommended for applicants interested in the AI/Data Science focus area.
  • Applicants must hold a bachelor’s degree (or equivalent) by the time of enrollment. While most successful applicants have a background in computer science, electrical engineering, statistics, mathematics, or a related field, strong candidates from other disciplines may also be considered. A master’s degree is not required.

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