Name: Master of Science
Price: 52000 USD

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QS Rank:

Stanford University

California

United States

Program Rank

Overview

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The Master of Computational and Mathematical Engineering is a rigorous program that provides in-depth training in computational mathematics. The program is offered by Stanford University, which is consistently ranked among the top universities in the world. International students are drawn to this program because of its high graduate employability rate. Stanford University offers exceptional educational quality, cutting-edge practical training, and ample employment opportunities to its international students. After completing their MS in Computational Mathematics from Stanford University, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at Stanford University provide students with a life-changing learning experience. A Master of Science degree can help students become creative and independent researchers. Overall, an MS in Computational Mathematics from Stanford University is a great option for students who want to study the field in depth. Here are some reasons why you should study Computational and Mathematical Engineering at Stanford University: * It is a popular choice for international students and has a diverse student body. * You will learn from the best faculty members and have the opportunity to work as their research assistants. * The university has state-of-the-art labs that will support your research work. * You will have access to excellent placement programs after completing the program.

Total Tuition Fees

$1,04,000

Duration

24 Months

Median Salary

$1,10,000

Ranking

US World and News Report

The World University Rankings

QS World University Rankings

Intake

Fall ( Sept - Nov )

Class Profile

Class Size

Average Age

Average Work Experience

3 Years

Diversity

New York:

12%

Texas:

Others:

32%

Illinois:

Florida:

California:

34%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

96%

Prospective Job Roles

Applied Linguist

Software Engineer

Software Architect

Embedded Software Engineer

Control Systems Engineer

Data Scientist

Software Tester

Tax Software Developer

Software Security Engineer

Systems Analyst

Applied Behavior Analyst

Systems Engineer

Top recruiters

Eligibility Criteria

English Proficiency Tests

TOEFL
89

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.

Application Fee: 125

Transcript

Statement of Purpose
Passport
Resume
TOEFL
Academic LOR
Class 12 Marksheets
Professional LOR
Professional LOR
Class 10 Marksheets

Application Deadlines

	Standard Deadline
Fall	Dec 3, 2024

Fees and Funding

Tuition Fees

$52,000 / year

Overall Cost

$68,000 / year

FAQs

Information can be found at the Bechtel International Center website.
Once the add/drop deadline has passed, you cannot drop a class. You can withdraw from a course up until the "withdraw" deadline, it will show up as "W" on your transcript. A "W" is not considered to be a low grade, it simply indicates that you withdrew from the class after the add/drop deadlin
The course descriptions for CS classes can be found in ExploreCourses and the actual list of courses offered each quarter (and links to their websites) can be found on the Courses tab of our website. Additionally, you can get student feedback for most of the courses through Carta.
Application Form. Complete and submit Stanford's graduation application form. ... Application Fee. ... Statement of Purpose. ... Resume/CV. ... Three Letters of Recommendation. ... College and University Transcripts. ... Graduate Record Examination (GRE) ... Test of English as a Foreign Language (TOEFL)
Typically, a GPA of at least 3.5 for MS applicants is required. Areas of Undergraduate Study: Stanford University does not require specific undergraduate coursework, however, it is important that applicants have strong quantitative and analytical skills.