Overview

During this fully online MS in Data Science offered by Coursera in partnership with University of Colorado Boulder you’ll learn theory, methods, tools, and programming languages—skills that qualify you for a variety of data scientist jobs, which are expected to increase by 36% between 2021 and 2031, according to the U.S. Bureau of Labor Statistics. This is more than seven times faster than the average growth rate for all jobs.

The University of Colorado Boulder is a Tier 1 Research institution and home to a community of scientists, scholars, and educators—including Nobel Laureates, MacArthur Genius Grant winners, and National Medal of Science awardees.

What’s in this degree program?

30 courses (30 credit hours) accredited by the Higher Learning Commission (HLC), which is part of the North Central Association of Colleges and Schools (NCA)

A combination of computer science or statistics courses, core courses, vital skills courses, and electives

Complete the MS-DS program in as little as 18 months, with about 4-6 hours of study per credit hour per week

Weekly live office hours with instructors and staff

Join a robust and thriving alumni network and career services to help you succeed after graduation

Qualify for in-demand jobs

Data Scientist

Decision Scientist

Statistician

The U.S. Bureau of Labor Statistics expects the number of data scientist jobs to grow by 19% over the next two decades.

Programme Structure

Courses include:

Data Mining Pipeline

Data Mining Methods

Data Mining Project

Unsupervised Algorithms in Machine Learning

Modern Regression Analysis in R

ANOVA and Experimental Design

Generalized Linear Models and Nonparametric Regression

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2026-05-05 00:00:00

Apply anytime.

More details

Important Dates:

Enrollment for the May 5 – June 27 session opens on April 21

Language

English

Credits

30 SCH

Delivered

Online

Campus Location

Mountain View, 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

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Although there aren’t any official prerequisites for this program, you’ll need to be familiar with calculus, linear algebra, R Programming, and Python. You can enroll in any of these courses on Coursera to gain a deeper understanding to help you prepare for the MS-DS.

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

7875 USD / year

≈ 7875 USD / year
Out-of-State

7875 USD / year

≈ 7875 USD / year
Domestic

Applies to you

In-State

7875 USD / year

≈ 7875 USD / year

Additional Details

Flexible payment options with no hidden costs or fees

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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.

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