Overview

The Master of Computational Data Science (M.C.D.S.) programme at Carnegie Mellon University offers a cutting-edge curriculum that prepares students for the complexities of modern data environments. This programme is designed to provide a thorough understanding of the technology layers involved in large-scale information systems, along with the analytical skills necessary to interpret the vast amounts of data generated by these systems. Students will be equipped to engage with the latest advancements in data science, machine learning, and artificial intelligence.

Why Computational Data Science at Carnegie Mellon University?

Carnegie Mellon University is renowned for its exceptional ranking in the field of computer science and its innovative approach to education. The university boasts strong partnerships with leading IT and software companies, offering students unique opportunities for collaboration and networking. Additionally, the state-of-the-art facilities provide an ideal environment for hands-on learning and research.

Tuition Fee Breakdown

The tuition fees for the Master of Computational Data Science programme are as follows:

International Fee: USD 55,800 per year
National Fee: USD 55,800 per year
Local Fee: USD 55,800 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum of the M.C.D.S. programme is structured to provide a comprehensive education in data science. Key modules include:

Introduction to Data Science
Machine Learning
Data Mining
Statistical Methods for Data Science
Big Data Technologies
Data Visualisation
Ethics in Data Science

This diverse syllabus ensures that graduates are well-prepared to tackle real-world challenges in various sectors.

Careers with Computational Data Science

Graduates of the M.C.D.S. programme find themselves in high demand across various industries. Alumni have secured positions at prestigious companies such as Nvidia, where they contribute to advancements in autonomous vehicle technology. The skills acquired through this programme enable graduates to pursue roles such as data analysts, machine learning engineers, and data scientists, making significant impacts in fields ranging from technology to healthcare and finance.

Programme Structure

Courses include:

Data Science Seminar
Machine Learning
Machine Learning with Big Data Sets
Cloud Computing
Information Systems Project
Multimedia Databases and Data Mining
Advanced Storage Systems
Operating Systems or Web Applications

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-08-25 00:00:00
- Apply before 2026-12-10 00:00:00

Language

English

TOEFL^® IBT

100

Schedule TOEFL®

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Credits

30 alternative credits

Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.

Delivered

On Campus

Campus Location

Pittsburgh, United States

Disciplines

Data Science & Big Data View 462 other Masters in Data Science & Big Data in United States

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Academic requirements

GRE^®

Required

English requirements

TOEFL^® IBT

100

Schedule TOEFL®

IELTS

Prepare for Your English Test

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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

GRE scores: These must be less than five years old. The GRE Subject Test is not required, but is recommended. Our Institution Code is 2074; Department Code is 0402.
TOEFL scores: Required if English is not your native language. No exceptions. These scores may be more than two years old if you have pursued or are pursuing a bachelor's or graduate degree in the United States. (While the TOEFL is preferred, the IELTS test may also be submitted.) Successful applicants will have a minimum TOEFL score of 100. Our Institution Code is 4256; the Department Code is 78.
Official transcripts from each university you have attended, regardless of whether you received your degree there.
Current resume.
Statement of Purpose.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

60400 USD / year

≈ 60400 USD / year
Out-of-State

60400 USD / year

≈ 60400 USD / year
Domestic

Applies to you

In-State

60400 USD / year

≈ 60400 USD / year

Living costs

Pittsburgh

United States

1148 - 1944 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Computational Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Pittsburgh

Financing

Funding

Scholarships Information

Available Scholarships

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