Degree At A Glance

  • Credits: 30-32
  • Tuition per Credit: $775
  • Earn Your Masters Degree Online
  • Rolling admissions
  • 16 week courses, 14 week summer courses
  • Enroll from a diversity of backgrounds and majors

Virtual Faculty Conversations

In response to the COVID-19 outbreak, all visits will now be conducted virtually via our Virtual Faculty Conversations. These visits are open to all prospective and admitted students and will include a video chat with a faculty member.

Masters of Data Science Faculty Session
Wednesday, April 15 11 a.m. Register Here
Wednesday, April 22 11 a.m. Register Here
Wednesday, April 29 11 a.m. Register Here
Wednesday, May 6 11 a.m. Register Here

Use the links below to apply online at no cost, or to request further information.
Apply Online Request Information
Use the links below to apply online at no cost, or to request further information.
Apply Online Request Information
Data Science is a rapidly growing field in which there are many job opportunities emerging across many disciplines. The program is designed for individuals with bachelor’s degrees who want to learn data science, with no prerequisites of courses in computer science or statistics. The program will be 30-32 credits of courses taught fully online, with optional once per semester weekend boot-camps for cohort building and software setup. Faculty from the IT/CS and Mathematics departments who will teach classes include Loren Rhodes, Kim Roth, Melissa Innerst, Jerry Kruse, Bill Thomas, and John Wright.

A Distinct Experience

Click on the banners below and learn more about what makes the Data Science program unique at Juniata College.

Courses offered:

Course MDS course # Credits
Data Science Fundamentals DS 500 4
Computer Science Fundamentals DS 510 4
Mathematics Fundamentals DS 516 3
Statistics Fundamentals DS 520 3
Data Acquisition and Visualization DS 525 3
Multivariate Techniques DS 530 3
Data Mining DS 552 3
Database Systems DS 570 3
Big Data Techniques DS 575 3
Capstone DS 580 3
Internship DS 596 3

Requirements for degree:

  • Data Science Fundamentals (DS 500)
  • Computer Science Fundamentals (DS 510)
  • Mathematics Fundamentals (DS 516)
  • Statistics Fundamentals (DS 520)
  • Data Acquisition and Visualization (DS 525)
  • Database Systems (DS 570)
  • Capstone (DS 580)
  • 9 credits of electives
  • Total: 30-32 credits
  • Fundamentals Courses can be waived if student has appropriate background experience and replaced with electives.

For more information, please contact:

Nicole Bopp
Assistant Director of Graduate Admissions