QS Rank:
58
Carnegie Mellon University
Pennsylvania
,United States
Program Rank
4
Program Name
Masters in Computational and Data Science
Deadline
January 15th, 2025
Overview
The Master of Computational and Data Science is a top-tier program that provides in-depth training in Data Science and Data Analytics. The MS in Data Science and Data Analytics from Carnegie Mellon University is consistently ranked among the best in the world. International students choose this program at Carnegie Mellon University because of its high graduate employment rate. Carnegie Mellon University provides exceptional educational quality, cutting-edge practical training, and numerous job opportunities for its international students. After earning their MS in Data Science and Data Analytics from Carnegie Mellon University, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at Carnegie Mellon 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 Data Science and Data Analytics from Carnegie Mellon University is a great choice for students who want to study the field in depth. Here are some reasons to study Computational and Data Science at Carnegie Mellon University: * A popular choice for international students with a diverse community * Learn from the best faculty members and become their research assistants * State-of-the-art labs to facilitate research work * Excellent placement programs after course completion
Total Tuition Fees
$96,000
Duration
16 Months
Median Salary
$90,000
Ranking
#22
US World and News Report
#28
The World University Rankings
#58
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
35
Average Age
29
Average Work Experience
3 Years
Aptitude Test Scores
Minimum Score
320 / 340
Language Test Scores
Minimum Score
7.5 / 9
Minimum Score
100 / 120
Minimum Score
120 / 160
Diversity
Others:
17%Canada:
4%United States:
55%China:
12%India:
8%South Korea:
4%Admissions
Application Deadlines
Spring
| Round | Deadline | Decision |
|---|---|---|
| Standard Deadline | Aug 31 | NA |
Application Requirements
What Really Matters When Applying
Statement of Purpose
Required
GRE
Required
Passport
Required
Resume
Required
IELTS
Required
Class 12 Marksheets
Required
Transcript
Required
Academic LOR
Required
Professional LOR
Required
Class 10 Marksheets
Required
Application Fee
125
Career Outcomes
Median Earnings After Graduation
$90,000 / year
Graduation Rate
93%
Prospective Job Roles
Data Visualization Specialist
Clinical Data Analyst
Machine Learning Manager
Data Scientist
Applied Behavior Analyst
Big Data Engineer
Computational Scientist
Researcher
Data analyst
Research Data Scientist
Research Data Analyst
Health Data Analyst
Environmental Data Analyst
Data Storyteller
Top recruiters
Fees and Funding
Tuition Fees
$48,000 / year
Overall Cost
$64,000 / year
Funding Options
External Sources - Scholarships
FAQs
To date, almost all program graduates have been highly successful in securing jobs. Graduates report that hiring salaries, though surely dependent upon location, are above $100,000/year, plus signing bonuses and additional perks. Most students receive more than one job offer.
All students enrolled in the 16 or 20 month timelines of the program are required to complete an internship. Internships provide an opportunity for an industrial development or industrial research experience before graduation. This experience is a vital component in learning to utilize the skills you develop in the program in “real world” applications, while also providing valuable access to the company sponsoring the internship and generally improving your employment prospects
The MCDS program does not permit deferrals of admission.
No, work experience is not required. However, we value some types of work experience highly, particularly if it is similar to the type of work our graduates perform, or highly relevant to your interest in the program.
We are looking for strong, experience-based evidence that you can do well in our degree program and that you “fit” based on our areas of focus. For example, a description of a large software or research project, your involvement in the project, and the impact of the research is good evidence. An explanation of what drew your interest to the MCDS program and how it relates to your professional goals is also useful. You may also take this opportunity to explain any apparent weaknesses in your application. Although details regarding your personal interests and background can be helpful, they are not part of our admissions criteria and should not constitute the bulk of your statement of purpose. Most importantly, your statement of purpose should be written by you and provide an accurate representation of your experiences and goals.
Most of the courses in MCDS require an undergraduate-level background in statistics or computer science. Thus, the applicant must show evidence of mastery of this material. This evidence is automatically available for students with an undergraduate degree in CS from top universities. Most students with non-CS degrees haven't taken four or more courses in computer science. But if you have, make this evidence explicitly clear in your application
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