Overview

Why Data Science at University of Pittsburgh?

The University of Pittsburgh stands out as a premier institution in the field of data science, recognised for its innovative approach and commitment to academic excellence. The School of Computing and Information is ranked among the top computer science schools in the United States, providing students with access to cutting-edge resources and a robust network of industry partnerships. The programme is designed to equip students with the necessary skills to thrive in a rapidly evolving data-driven landscape, ensuring that graduates are well-prepared to meet the demands of the job market.

Tuition Fee Breakdown

The tuition for the Master of Data Science programme is set at USD 15,000 for both domestic and international students. This flat fee applies to all students, regardless of their residency status. The programme is priced competitively to accommodate the financial needs of working professionals. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Data Science is meticulously structured to provide both theoretical knowledge and practical skills. It includes the following key components:

Core computational, mathematical, and statistical principles.
Responsible data management and curation skills.
Programming for data analysis using Python and R.
Designing and querying relational databases with MySQL and graph databases with Neo4j.
Hands-on experience with real-world data sources from various partners.
Data exploration and predictive modelling techniques.

This 30-credit programme consists of 10 courses, including a capstone project, designed to foster a comprehensive understanding of data science applications.

Careers with Data Science

Graduates of the Master of Data Science programme are well-equipped to enter a variety of roles within the data science field. The U.S. Bureau of Labor Statistics projects a 35% growth in data scientist positions between 2022 and 2032, highlighting the increasing demand for skilled professionals. Alumni have successfully secured positions as Data Scientists, Data Analysts, Data Coordinators, and Data Engineers across diverse sectors including business, healthcare, finance, and market research. The programme also provides access to comprehensive career services, including job boards, resume support, and interview preparation, ensuring that graduates are ready to embark on their professional journeys.

Programme Structure

Courses include:

Earning your master’s in data science will enable you to:

Acquire computational, mathematical, and statistical knowledge, as well as responsible data management, and data curation skills (ethically cleaning, interpreting, and using big data across a variety of contexts).
Program in Python and R, using Jupyter notebooks and RStudio.
Design and query relational databases using various tools (e.g. MySQL via MySQL Workbench and Neo4j).
Gain practical experience through data exploration and predictive modeling.
Develop hands-on experience with large, real-world data sources from campus, community and corporate partners.

Key information

Duration

Part-time
- 20 months

Start dates & application deadlines

Starting 2027-05-07 00:00:00
- Apply before 2026-05-07 00:00:00

Language

English

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Credits

30 SCH

Delivered

Online

Campus Location

Pittsburgh, United States

Disciplines

Data Science & Big Data View 192 other Masters in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

125

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TOEFL^® IBT

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IELTS

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98 accuracy using real exam data
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Other requirements

General requirements

To gain admission to the MDS program, you’ll complete a 3-credit pathway course on the Coursera platform. By earning a GPA of 3.0 or higher in that course, you’ll be accepted into the degree program upon bachelor’s degree verification.
International students will also need to submit proof of English proficiency and proof of completion of education that the University of Pittsburgh deems comparable to a bachelor’s degree from a regionally accredited institution in the United States. Official original academic credentials that are issued in a language other than English must be accompanied by a certified English translation.

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

47378 USD / year

≈ 47378 USD / year
Out-of-State

47378 USD / year

≈ 47378 USD / year
Domestic

Applies to you

In-State

26876 USD / year

≈ 26876 USD / year

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 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

Funding

Scholarships Information

Available Scholarships

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