logo
  • uni logo

QS Rank:

verified

6

uni logo

Stanford University

flag

California

United States

icon

Program Rank

tooltip

2

Technology has revolutionized our world, influencing every facet of our daily lives—from the smartphones we rely upon, to the vast digital networks that connect us, and the advanced cybersecurity measures that protect our sensitive information. If you aspire to be at the forefront of these technological advancements, the Master of Science in Computer Science from Stanford University is the ideal program for you. Over the course of 24 months, this graduate degree aims to equip students with not only the practical skills necessary to excel in the field but also the theoretical knowledge that underpins modern computing. With a meticulously designed curriculum, esteemed faculty, and a plethora of research opportunities, students are well-prepared for a range of careers in a diverse set of industries, including healthcare, finance, and artificial intelligence.

The curriculum for the MS in Computer Science at Stanford is both comprehensive and adaptable, catering to a variety of specializations. It includes a rigorous selection of courses that cover essential topics such as the Theory of Computation, Design and Analysis of Algorithms, Machine Learning, and Cryptography. Students will engage in both theoretical studies and hands-on laboratory experiences, ensuring they receive a holistic education. Furthermore, the program culminates in a research thesis, where students can explore cutting-edge topics, contributing to the body of knowledge in computer science. This focus on research not only reinforces learning but also fosters innovation, equipping graduates with the tools to tackle complex problems in practical settings.

One of the standout features of the Stanford program is its faculty expertise. The professors are leaders in their respective fields, bringing together a wealth of experience from academia, research, and industry. They employ innovative teaching methodologies that emphasize collaboration, problem-solving, and critical thinking. This engagement with real-world applications of computer science ensures that students are not only learning theoretical concepts but also how to apply them effectively in various scenarios. The faculty also encourages mentorship and provides numerous networking opportunities, creating an enriching learning environment that fosters growth and knowledge-sharing.

In addition to a robust educational experience, the program offers extensive research opportunities. Students have access to state-of-the-art laboratories and resources, enabling them to engage in groundbreaking research alongside faculty members and industry leaders. Whether it involves developing new algorithms, exploring advancements in artificial intelligence, or working on cybersecurity protocols, students can gain invaluable experience that enhances their resumes and skill sets. This research emphasis aligns closely with Stanford's commitment to innovation, making it a breeding ground for future leaders and pioneers in computer science.

The industry connections and internship possibilities available through Stanford’s program are exceptional. The university's location in California places students in the heart of Silicon Valley, providing unparalleled access to leading tech companies, startups, and industry giants. This proximity fosters partnerships and facilitates internships that offer students hands-on experience and insights into industry dynamics. Many graduates secure positions at renowned organizations like Google, Facebook, and Tesla, often during their studies. The strong alumni network further enhances these connections, providing students with invaluable guidance and support as they navigate their career paths.

Upon graduation, students can look forward to a wealth of career pathways and job outcomes. The program boasts a 96% graduation rate, and graduates typically find themselves in positions such as Software Engineers, Data Scientists, Cybersecurity Specialists, and Systems Architects. The median base salary for graduates is approximately $110,000, reflecting the high demand for skilled professionals in the tech industry. The program also prepares students for potential doctoral studies, allowing those interested in further academic pursuit to continue their research and teaching endeavors.

Moreover, Stanford has a history of producing successful alumni who have made significant contributions to the field of computer science. Many graduates have founded startups, developed revolutionary technologies, or held leadership positions in influential companies. These success stories highlight the program's effectiveness in preparing students for impactful careers. Testimonials from alumni often emphasize the program's rigorous academic framework and supportive community, including how the faculty's mentorship has been instrumental in their professional journeys.

Why Study Master of Science in Computer Science at Stanford University? Here are several compelling reasons:

  • World-Class Faculty: Learn from leading experts in computer science, many of whom are industry leaders and researchers.
  • Cutting-Edge Curriculum: Engage in a comprehensive curriculum that includes both theoretical knowledge and practical applications.
  • Research Opportunities: Access to state-of-the-art labs and resources for groundbreaking research in various specializations.
  • Industry Connections: Benefit from Stanford's location in Silicon Valley, providing unparalleled access to internships and job opportunities.
  • Strong Alumni Network: Join a community of successful alumni who can provide mentorship and career guidance.
  • Career Outcomes: Graduate with a high employment rate and competitive salary, well-prepared for a range of roles in the tech industry.
  • Innovation Focus: Immerse yourself in a culture that encourages exploration, creativity, and forward-thinking.

Admission to the MS in Computer Science program at Stanford University requires applicants to meet specific eligibility criteria. Candidates should possess a minimum undergraduate GPA of 3.0 (on a 4.0 scale) and have completed at least 16 years of education. Additionally, for non-native English speakers, a minimum score of 109 on the TOEFL is required. Applicants must submit a range of documents including transcripts, a resume, a statement of purpose, letters of recommendation, and proof of English proficiency alongside their application.

In conclusion, pursuing a Master of Science in Computer Science at Stanford University is an invaluable opportunity for individuals looking to shape their futures in the tech industry. With an innovative curriculum, expert faculty, and strong industry connections, this program stands out as a premier choice for aspiring computer scientists. If you’re ready to embark on a transformative educational journey, consider applying to Stanford’s MS in Computer Science and take the first step toward a successful career in technology.

intake

Total Tuition Fees

$80,000

intake

Duration

24 Months

intake

Median Salary

$1,10,000

Ranking

icon

#3

US World and News Report

icon

#3

The World University Rankings

icon

#6

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

Class Profile


intake

Class Size

20

intake

Average Age

28

intake

Average Work Experience

3 Years

Diversity

New York:

12%

Texas:

9%

Others:

32%

Illinois:

7%

Florida:

6%

California:

34%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

intake

Graduation Rate

96%

Prospective Job Roles

Software Engineer

Software Architect

Software Developer

Mobile Developer

Database Administrator

Security Engineer

Network Administrator

Computer Scientist

Computer Programmer

Computer Support Specialist

Computer Engineer

Computer Systems Analyst

Computer Systems Engineer

Computer Science Teacher

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 / 4 undergraduate GPA is expected.

intake

At least 16 years of bachelor degree.

English Proficiency Tests

  • TOEFL

    109

    tooltip

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.

intake

Application Fee: 125

  • intake

    Transcript

  • intake

    Resume

  • intake

    Statement of Purpose

  • intake

    TOEFL

  • intake

    Passport

  • intake

    Academic LOR

  • intake

    Professional LOR

  • intake

    Academic LOR

  • intake

    Class 12 Marksheets

  • intake

    Class 10 Marksheets

Application Deadlines

Standard Deadline
FallDec 3, 2024

Fees and Funding

intake

Tuition Fees

$40,000 / year

intake

Overall Cost

$55,000 / year

Scholarships


  • icon

    Stanford University

  • icon

    Stanford Engineering Scholarship

  • icon

    Stanford Alumni Scholarship

  • icon

    Stanford Women in Engineering Scholarship

  • icon

    Stanford University Merit Scholarship

  • icon

    The Stanford GSB Dean's Office

  • icon

    Stanford University Alumni Scholarship

FAQs

  • 109

  • No, it is not required that a student have majored in CS but it is important that you have strong quantitative and analytical skills.

  • NDO stands for non-degree option program and is a program that allows interested individuals the opportunity to register for Stanford courses and earn grades and credit without matriculating as a regular Stanford graduate student. The CS Graduate Admissions office does not handle NDO admissions. To learn more visit Stanford Online

  • No, if you already have an MS degree in Computer Science from another school, you cannot apply to our MS program in Computer Science. However, if you have a MS CS degree from another institution, you may apply to our CS PhD program

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon