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.

Application Requirements:

• Application with statement of purpose
• Resume
• Official College Transcript(s)
• No Application Fee* or Test Scores Required

*$50 International Applicant Fee

photo of Kim Roth teaching a class
30-32 credits • Online classes • Rolling admissions • 15 week courses, 13 week summer courses • Enroll from a diversity of backgrounds and majors
photo of Kim Roth teaching a class

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.

Application Requirements:

• Application with statement of purpose
• Resume
• Official College Transcript(s)
• No Application Fee* or Test Scores Required

*$50 International Applicant Fee

30-32 credits • Online classes • Rolling admissions • 15 week courses, 13 week summer courses • Enroll from a diversity of backgrounds and majors
photo of Kim Roth teaching a class

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.

Application Requirements:

• Application with statement of purpose
• Resume
• Official College Transcript(s)
• No Application Fee* or Test Scores Required

*$50 International Applicant Fee

30-32 credits • Online classes • Rolling admissions • 15 week courses, 13 week summer courses • Enroll from a diversity of backgrounds and majors
photo of Kim Roth teaching a class

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.

Application Requirements:

• Application with statement of purpose
• Resume
• Official College Transcript(s)
• No Application Fee* or Test Scores Required

*$50 International Applicant Fee

30-32 credits • Online classes • Rolling admissions • 15 week courses, 13 week summer courses • Enroll from a diversity of backgrounds and majors

See how a Juniata College graduate degree equips you for success!

 

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Professionally dressed students walking on the quad

 

  • photo of Michael Migatulski '88, MDS '23
    Featured Alum

    Michael Migatulski '88, MDS '23

    Master of Data Science

    "The quality of the instruction is excellent. The program is very challenging; however, you are not alone. The professors are personable, knowledgeable, very helpful, and seemingly always available."

    Featured Alum

    Michael Migatulski '88, MDS '23

    Master of Data Science

    "The quality of the instruction is excellent. The program is very challenging; however, you are not alone. The professors are personable, knowledgeable, very helpful, and seemingly always available."

  • photo of Katie Migatulski '19, MDS '23
    Featured Alum

    Katie Migatulski '19, MDS '23

    Master of Data Science

    "I started my career at Fulton Bank as an intern and took MDS classes part time, so I really had the best of both worlds. I was able to apply what I learned in class on the job and vice versa. I believe the MDS provided me with valuable technical skills to transition into a role in the marketing analytics realm."

    Featured Alum

    Katie Migatulski '19, MDS '23

    Master of Data Science

    "I started my career at Fulton Bank as an intern and took MDS classes part time, so I really had the best of both worlds. I was able to apply what I learned in class on the job and vice versa. I believe the MDS provided me with valuable technical skills to transition into a role in the marketing analytics realm."

 

Outcomes That Matter

A Juniata data science student will obtain the knowledge and skills to:

  • Acquire, prepare, analyze, and present data to support decision making
  • Understand the different disciplines and application of information technology and data sciences
  • Apply data mining methods utilizing a variety of modern tools, technologies, and scripting and programming languages
  • Manage and access database environments
  • Learn techniques and tools to manipulate/transform data from structured and non-structured sources
  • Identify patterns in datasets
  • Understand the different types of machine learning algorithms
  • Understand appropriate data visualization techniques
  • Communicate technical information clearly to specific audiences (oral and written)
  • Understand ethical guidelines applicable to data management, algorithm development, and data analysis

Outcomes That Matter

A Juniata data science student will obtain the knowledge and skills to:

  • Acquire, prepare, analyze, and present data to support decision making
  • Understand the different disciplines and application of information technology and data sciences
  • Apply data mining methods utilizing a variety of modern tools, technologies, and scripting and programming languages
  • Manage and access database environments
  • Learn techniques and tools to manipulate/transform data from structured and non-structured sources
  • Identify patterns in datasets
  • Understand the different types of machine learning algorithms
  • Understand appropriate data visualization techniques
  • Communicate technical information clearly to specific audiences (oral and written)
  • Understand ethical guidelines applicable to data management, algorithm development, and data analysis

Outcomes That Matter

A Juniata data science student will obtain the knowledge and skills to:

  • Acquire, prepare, analyze, and present data to support decision making
  • Understand the different disciplines and application of information technology and data sciences
  • Apply data mining methods utilizing a variety of modern tools, technologies, and scripting and programming languages
  • Manage and access database environments
  • Learn techniques and tools to manipulate/transform data from structured and non-structured sources
  • Identify patterns in datasets
  • Understand the different types of machine learning algorithms
  • Understand appropriate data visualization techniques
  • Communicate technical information clearly to specific audiences (oral and written)
  • Understand ethical guidelines applicable to data management, algorithm development, and data analysis

Online, Not On Your Own

student studying on a laptop

Once per semester, classmates and faculty will collaborate for cohort building and to correctly set software environments up for the semester's work. These boot-camps will be remote access.

student studying on a laptop

Online, Not On Your Own

Once per semester, classmates and faculty will collaborate for cohort building and to correctly set software environments up for the semester's work. These boot-camps will be remote access.
student studying on a laptop

Online, Not On Your Own

Once per semester, classmates and faculty will collaborate for cohort building and to correctly set software environments up for the semester's work. These boot-camps will be remote access.
student studying on a laptop

Online, Not On Your Own

Once per semester, classmates and faculty will collaborate for cohort building and to correctly set software environments up for the semester's work. These boot-camps will be remote access.
student studying on a laptop

Online, Not On Your Own

Once per semester, classmates and faculty will collaborate for cohort building and to correctly set software environments up for the semester's work. These boot-camps will be remote access.