logo
  • uni logo

QS Rank:

verified

16

uni logo

Cornell University

flag

New York

United States

icon

Program Rank

tooltip

8

In today's advanced technological landscape, the role of computer science is pivotal in shaping the societies we live in. As digital transformation continues to accelerate, the demand for skilled professionals in this field has never been greater. The Master of Engineering in Computer Science (MEng in CS) at Cornell University offers an exceptional opportunity for students to deepen their understanding and expertise in computing technologies. This program, spanning over a period of 24 months, is meticulously designed to equip students with both theoretical knowledge and practical skills, preparing them for the dynamic challenges of the tech industry.

The curriculum of the MEng in Computer Science incorporates a blend of core subjects, elective courses, and hands-on projects that reflect current industry standards and innovations. Students will engage in a diverse range of topics, including but not limited to, programming languages, data mining, machine learning, and computer systems verification. This comprehensive approach ensures that graduates not only understand fundamental concepts but also can apply this knowledge to solve real-world problems effectively. With an emphasis on research and innovation, students are encouraged to explore cutting-edge technologies and methodologies, fostering a spirit of inquiry and creativity.

Cornell University boasts a world-renowned faculty with a wealth of expertise in various domains of computer science. The teaching methodology emphasizes interaction, collaboration, and mentorship, allowing students to benefit from the extensive experience of their professors. Faculty members are actively involved in groundbreaking research, contributing to advancements in areas such as artificial intelligence, cybersecurity, and computational biology. This involvement opens doors for students to engage in research opportunities, enhancing their academic experience and providing them with valuable insights into the latest developments in technology.

Beyond academics, the MEng in Computer Science program offers robust industry connections that significantly enhance students' career prospects. Cornell’s extensive alumni network and partnerships with leading tech firms provide students with unique internship opportunities and job placement avenues. The program prepares graduates for a variety of roles within the tech industry, such as Software Engineering, Product Management, and Machine Learning Engineering, among others. Moreover, the high median base salary of approximately $110,000 underscores the lucrative career potential that awaits graduates of this prestigious program.

As part of the curriculum, students have access to a wealth of resources including state-of-the-art laboratories, research facilities, and the latest technology tools. This hands-on experience is designed to complement theoretical learning, ensuring graduates are well-equipped to meet the demands of today’s fast-paced job market. Additionally, students can tailor their educational experience to their interests, allowing them to pursue specialized areas within computer science that align with their career aspirations.

Program Curriculum and Specific Courses

The curriculum for the MEng in Computer Science at Cornell University includes a diverse array of coursework that prepares students to tackle complex challenges in the tech sector. Key components of the program include:

  • Basic Programming Laboratory
  • Programming Languages
  • Theory of Computation
  • Design and Analysis of Algorithms
  • Mathematical Logic
  • Discrete Mathematics
  • Distributed Systems
  • Computer Systems Verification
  • Complexity Theory
  • Operations Research
  • Data Mining and Machine Learning
  • Cryptography and Computer Security
  • Probability and Statistics

This structured yet flexible curriculum enables students to build a solid foundation in computer science while also exploring specialized fields of interest. The inclusion of a research thesis further enriches the learning experience by encouraging independent study and exploration of innovative ideas.

Research Opportunities and Resources

Cornell University is at the forefront of research in computer science, offering students numerous opportunities to engage in cutting-edge projects. Faculty members actively publish in prestigious journals and present their work at key conferences, providing students with a unique vantage point into the academic world. Research areas include artificial intelligence, robotics, software engineering, and more. By participating in these research endeavors, students can gain invaluable experience, expand their professional networks, and enhance their resumes.

Industry Connections and Internship Possibilities

The MEng in Computer Science program at Cornell University is well-positioned within the tech industry. With an impressive 10.6% acceptance rate, students gain access to an elite network of professionals and organizations. Internships are a critical component of the program, allowing students to apply their knowledge in real-world settings. Companies ranging from startups to Fortune 500 giants actively recruit from Cornell, ensuring that students have ample opportunities to secure positions that will jumpstart their careers.

Career Pathways and Job Outcomes

Graduates of the MEng in Computer Science program have a wealth of career options at their disposal. Potential job roles include:

  • Product Manager
  • Software Engineer
  • UI Designer
  • Data Scientist
  • Business Analyst
  • UX Designer
  • DevOps Engineer
  • QA Engineer
  • Systems Engineer
  • Machine Learning Engineer
  • Computer Programmer
  • Computational Linguist
  • Computational Scientist
  • Computer Scientist

With a graduation rate of 95%, and a median base salary of $110,000, the program’s success is evident in the remarkable job outcomes of its graduates, illustrating the value of a Cornell education.

Why Study MEng in Computer Science at Cornell University

Choosing the right institution for furthering your education is crucial, and Cornell University stands out for several compelling reasons:

  • Comprehensive Curriculum: The program offers a mix of core and elective courses, allowing for a tailored educational experience.
  • Expert Faculty: Learn from world-renowned professors who are leaders in their fields and actively involved in groundbreaking research.
  • Industry Connections: Benefit from a strong network of industry professionals and internship opportunities that enhance career readiness.
  • Innovative Research: Participate in cutting-edge research that is shaping the future of computer science.
  • Strong Career Outcomes: Enjoy high job placement rates and lucrative salary prospects upon graduation.

In summary, pursuing a Master of Engineering in Computer Science at Cornell University is an investment in your future, providing you with the skills, knowledge, and networks needed to excel in a rapidly evolving technology landscape. With a focus on innovation, collaboration, and real-world application, this program is designed to prepare you for a successful and fulfilling career in the tech industry.

For more information about admission requirements and deadlines, please visit the official admission page.

intake

Total Tuition Fees

$64,000

intake

Duration

24 Months

intake

Median Salary

$1,10,000

Ranking

icon

#17

US World and News Report

icon

#20

The World University Rankings

icon

#16

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

intake

Intake

Spring ( Apr - June )

Class Profile

intake

Class Size

100

intake

Average Age

25

intake

Average Work Experience

2 Years

Diversity

California:

15%

Illinois:

5%

Texas:

10%

Florida:

4%

New York:

20%

Others:

46%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

intake

Graduation Rate

95%

Prospective Job Roles

Product Manager

Software Engineer

UI Designer

Data Scientist

Business Analyst

UX Designer

DevOps Engineer

QA Engineer

Systems Engineer

Machine Learning Engineer

Computer Programmer

Computer Science

Computer Engineer

Computational Linguist

Computational Scientist

Computer Scientist

Top recruiters

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

    82

    tooltip
  • IELTS

    7

    tooltip

Standardised Test Score

  • GRE

    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: 105

  • intake

    Transcript

  • intake

    Statement of Purpose

  • intake

    Resume

  • intake

    IELTS

  • intake

    Academic LOR

  • intake

    Professional LOR

Application Deadlines

Standard Deadline
FallFeb 1, 2025
SpringOct 1, 2024

Fees and Funding

intake

Tuition Fees

$32,000 / year

intake

Overall Cost

$48,000 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The Cornell University Master of Engineering in Computer Science (MENG) program offers a variety of scholarships and financial aid opportunities to help students cover the cost of their education. Scholarships are available based on academic merit, financial need, and other criteria. The program also offers a tuition waiver for students who are admitted to the program with a GPA of 3.8 or higher.

  • icon

    Association for Computing Machinery

FAQs

  • A student can complete Computer Science at Cornell University with in 12.

  • The deadline to submit an admission application for Computer Science at Cornell University is Application deadline Spring (Standard Deadline) - date - 01/10/2023 ,Application deadline Fall (Standard Deadline) - date - 01/02/2024

  • The application fee to pursue Computer Science at Cornell University is USD 105 for international students.

  • The annual tuition fee to pursue Computer Science at Cornell University is USD 62456.

  • The Computer Science at Cornell University has 2 semesters.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Cornell University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Cornell University requirements before submitting a score.

  • Computer Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of Cornell University, they can easily pursue Computer Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at Cornell University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Cornell University website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Cornell University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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