The Online Master of Science in Data Science

DataScience@Denver, the online MS in Data Science program from University of Denver’s Daniel Felix Ritchie School of Engineering & Computer Science, prepares students at any stage of their career to use data to help their organizations make more informed strategic decisions.

Led by a faculty of top researchers, the program gives students the technical tools they need to become part of the next generation of data scientists.

A Curriculum for Data Professionals

48-60 Total Credits

18-24 Months to Complete

The online MS in Data Science curriculum comprises of 15 courses that provide students with knowledge and skills in critical competencies such as programming, data mining, machine learning, database management, and data visualization.

Upon graduation, students will be able to build tools to collect, evaluate, and interpret data to solve complex challenges across a variety of industries. The curriculum can be completed in 18 to 24 months depending on student schedules.

To learn more, visit the curriculum page.

 

Bridge Courses

Because the online MS in Data Science program is available to students from all academic and professional backgrounds, we offer three bridge courses that provide students with a solid foundation in programming to help them succeed in their data science coursework.

Each course is worth 4 credits and does not count toward the 48-credit requirement to complete the data science master’s program.

The three bridge courses are:

• Computer Science Programming Basics

• Data Science Mathematics 1

• Data Science Mathematics 2

Featured Courses

Algorithms for Data Science

Students learn the algorithmic strategies and techniques that data scientists use to understand complex data science challenges like dynamic programming, randomization, and order statistics.

Machine Learning

Students are given an overview of machine learning techniques, the strengths and weaknesses of those techniques, and the problems they are designed to solve. Topics covered include linear and logistic regression, neural networks, and decision trees.

Parallel and Distributed Computing for Data Science

Students implement parallel and distributed computing methods like threaded applications and GPU parallel programming to solve large problems by breaking them down into smaller ones.

Gain the data science skills needed to solve complex challenges.

Explore the online MS in Data Science program today.

DataScience@Denver Admissions

Applicants must hold a bachelor’s degree from a regionally accredited college or university or the recognized equivalent from an international institution. Although applicants must demonstrate strong analytical skills, technical and/or programming experience is not required.

In addition to the online application, students must submit the following:

  • checkboxApplication Fee or Waiver
  • checkboxPersonal Statement
  • checkboxCurrent résumé
  • checkboxOfficial transcripts
  • checkboxGRE test scores
  • checkboxLetters of recommendation

The online data science master’s program has four start times throughout the year. Applications are accepted and reviewed on a rolling basis. Learn more about the admissions requirements.

Now accepting applications for the January cohort. The final application deadline is November 8, 2019.

Earn your master’s in data science online in as few as 18 months.

A Growing Demand for Data Scientists

The data science field continues to grow as more companies rely on the benefits of data collection and evaluation. According to IBM, the number of jobs for all United States data professionals will increase by 364,000 openings to 2,720,000 in 2020.1

Students can benefit from opportunities in this growing field and focus their studies to gain a competitive advantage. In the same IBM study, machine learning and data visualization are considered two areas of data science that are projected to grow the fastest by 2020. Learn more about how to become a data scientist.

Careers in
Data Science

DataScience@Denver prepares students to leverage their technical expertise and equips them to succeed across various career paths and industries.

Careers that students may pursue after earning their data science degree include:

  • Business analyst
  • Computer information scientist
  • Data analyst
  • Data architect
  • Data engineer
  • Data scientist

Data science skills can be applied across a wide range of industries, including:

  • Biotech
  • Energy
  • Finance
  • Government
  • Health care
  • Manufacturing
  • Retail
  • Travel and transportation

Gain the technical skills you need to build sophisticated data capture and analysis tools for your organization.

Learn more about the online MS in Data Science program today.