Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder MS in Data Science: Student Outcomes, Profiles & Program Stats

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Wondering if the Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder MS in Data Science is the right fit? This page gives you a transparent look at exactly who enrolls in our residential program, what they study, and where they go after graduation. Our cohort of approximately 100 students per year comes from 18 countries, spans 26 years of average age, and goes on to careers at companies like Amazon, Google, Microsoft, and Meta.

Who are our students?

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65% Male Gender Identity

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35% Female Gender Identity

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26 Average Age

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100 Average Cohort Size

What background do our students have?

Highest Degree Obtained Before

The majority of students (91.2%) enter the program with a bachelor's degree, while 7.1% hold a prior master's degree.

Past Experience - Data Science

Students arrive with a range of data science backgrounds: approximately one-third have full-time professional experience in the field, one-third are career-changers with no prior data science work experience, and about one-quarter completed internships before enrolling.

Past Experience - Non Data Science

For students transitioning from other fields, the largest group comes from engineering backgrounds outside computer science (53.1%), followed by physical and natural sciences (23.1%), and business or finance (12.3%).

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Majority Bachelor's Fields

Computer Science
Electronics and Communication
Information Technology
Mechanical Engineering
Mathematics/Statistics

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Diverse Bachelor's Fields

Aeronautics and Astronautics
Biology and Biochemistry
Physics, Astrophysics or Astronomy
Psychology, Sociology or Political Science
Accounting, Business Administration or Finance

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Where Do Our Graduates Work?

Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder MS in Data Science graduates go on to careers at some of the world's leading technology, finance, and healthcare organizations. Graduates have been hired by companies including Amazon, Google, Microsoft, Meta, and Accenture, taking on roles in data science, AI engineering, machine learning, and analytics.

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Top Industries of Employment

Technology
FinTech / Consulting
Healthcare
Education and Research
Manufacturing

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Notable EmployersÌý

Amazon
Google
Microsoft
Meta
Accenture

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Top 5 Job Roles

Data Scientist
Data Analyst
AI Engineer
Research Assistant
Machine Learning Engineer

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Ready to Take the Next Step?

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Program Student Data Points

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3Ìý

Average Courses taken per Semester

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2

Average Years to Degree Completion

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18

Countries students come fromÌý

Students typically take three courses per semester, balancing depth with a manageable workload.

The residential MS in Data Science is a two-year, full-time on-campus program. It features flexible options for accelerated or extended pathways.

Each cohort brings together students from a wide range of countries, creating a globally diverse learning environment on the Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder campus.

What Our Students Are Saying

Read More Student Stories

Program Pathways

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Bachelor's Accelerated Masters (BAM)
For Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder undergraduate Computer Science students

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Bridge to Data Science
For students developing core coding and quantitative fundamentals

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Direct to Data Science
For students with established programming and quantitative readiness

Frequently Asked Questions

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ÌýÌýHow long does the Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder MS in Data Science take to complete?

Most students complete the residential MS in Data Science in two years, taking an average of three courses per semester. Some students pursue an accelerated pathway of 1.5 years.Ìý

ÌýÌýWhat GPA or background do I need to apply?

There is no universal GPA cutoff. Competitive applicants will have a 3.0 or higher. The program welcomes students from engineering, mathematics, statistics, computer science, and related quantitative fields. Students without all core prerequisites may qualify for the Bridge to Data Science pathway. Visit the Admissions page for full requirements.

ÌýÌýWhat jobs do Âé¶¹Ãâ·Ñ°æÏÂÔØBoulder data science graduates get?

Graduates work as Data Scientists, Data Analysts, AI Engineers, Machine Learning Engineers, and Research Assistants. Employers include, but are not limited to, Amazon, Google, Microsoft, Meta, and Accenture, across technology, fintech, healthcare, education, and manufacturing industries.

ÌýÌýHow many students are in each cohort?

Each residential cohort has anywhere from 50-100 students, drawn from 18+ countries.

ÌýÌýIs there a part-time option?

The residential program is designed to support each learner journey. Choose from an accelerated pathway of 1.5 years completion time, the traditional 2-year journey, or a part-time journey. Students should plan on completing their MS in Data Science within 4 years.