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MS in Applied Data Science (Online)

STARTING SPRING 2024

Data Analysis

Within the past few years, organizations have embraced Data Science as a way of fulfilling their missions and improving their services through data-driven decision-making. Data Science is now one of the fastest growing career areas in Connecticut and in the country, and contributes to fields as diverse as business, finance, healthcare, insurance, environmental science, medicine, political science, and more. According to the Bureau of Labor Statistics, data science jobs are expected to grow 36%, “much faster than average”, between 2021 and 2031. 

Since 2020, “Data Scientist” has ranked in the top 3 of Glassdoor’s 50 Best Jobs in America.

Students in the Applied Data Science Master's Program develop critical thinking skills not just to gain expertise in solving data-centric problems but to also include real-world examples and case studies, with an emphasis on applied, hands-on learning. Chris Holdgraf, director of the nonprofit International Interactive Computing Collaboration shares: “Being a data scientist gives me the flexibility to work with people with many different kinds of backgrounds and to work on problems that are meaningful to lots of different communities, which I really enjoy." 

Our unique program is comprised of 30 required credit hours taught by faculty members in the departments of Computer Science, Mathematical Sciences, and Education with expertise in areas related to Data Science. Through a diverse but cohesive set of courses, students learn topics in the areas of coding, statistics, machine learning, databases, big data, data communication, and data visualization. The program culminates with a capstone project where students work with an outside sponsor or faculty member to complete an extensive data science project.

 

  • Listed below are some of the basic requirements for admission into the M.S. in Applied Data Science:
    1. Completed application for admission. Apply Online.
    2. Bachelor’s degree from an approved/accredited institution with a minimum GPA of 2.70.
    3. A college level statistics course is a prerequisite to the program. Student admitted to the program who don't have a record of a college level statistics course must complete one in consultation with the program director. Programming experience is recommended but not required
    4. $50 non-refundable application fee.
    5. Official college transcript(s) for all non-Eastern colleges/universities attended.
    6. Two letters of recommendation from references who can attest to the applicant's ability to complete graduate work.
    7. Personal/Philosophy statement, explaining your professional goals. Personal statements can be uploaded as "supplemental items" in the online application system after submitting an application.

  • The following link contains course and credit requirements for the M.S. in the Applied Data Science program at Eastern. Please use them to help plan your course of study but be aware that course offerings may change in the future.

    Program Course Descriptions

    Graduate Plan of Study

  • The M.S. Applied Data Science program is affordable — and financial aid/scholarships and housing are available, along with potential assistantship and internship options. Receive personalized instruction from our talented executive faculty. For current tuition and fees information, please visit the website of the Bursar.

    What Type of Student and What is my Tuition Rate?

    • If a student is matriculated in a graduate program of study (degree seeking or non-degree), any course taken for credit or audit (whether graduate or undergraduate level) by the student will be billed at the graduate level.
    • If a student is matriculated in an undergraduate program of study, any course taken for credit or audit (whether graduate or undergraduate level) by the student will be billed at the undergraduate level.
    • If a student is not matriculated, but has been awarded an undergraduate degree, any course taken for credit or audit (whether graduate or undergraduate level) by the student will be billed at the graduate level.
    • If a student is not matriculated, and does not have an undergraduate degree, courses taken by a student for credit or audit can only be at the undergraduate level and, as such, will be billed at the undergraduate level.

    Tuition Refund Policy

    EasternOnline Tuition Refund Policy Part-Time Students for Fall and Spring
    • 100% refund through the first week of the semester ending on the first Saturday.
    • 60% refund through the second week of the semester ending on the second Saturday.
    • 40% refund through the fourth week of the semester ending on the fourth Saturday.

    On Ground Course Tuition Refund Policy for Part-Time Students for Fall and Spring

    • Full-term courses longer than 8 weeks are refunded as follows:
      • 100% refund through the first week (or three hours) of classes.
      • 60% refund through the second week (or 6 hours) of class.
      • 40% refund through the fourth week (or 12 hours) of class.
      • No refund after the fourth week (or 12 hours) of class.
    • Less than full-term courses of 3 to 8 weeks are refunded as follows:
      • 100% refund prior to the second class meeting.
      • 60% refund prior to the third class meeting.
      • 40% refund prior to fourth class meeting.
      • No refund after the beginning of the fourth class meeting.
    • Week long and Special Sessions are refunded as follows: (less than 3 weeks):
      • 100% refund prior to the second class meeting.
      • 60% refund prior to the third class meeting.
      • No refund after the beginning of the third class meeting.
    Please Note: The $40 per course registration fee is non-refundable

Dr. Garrett Dancik

Applied Data Science Program Coordinator

dancikg@easternct.edu

Science – Room 257
(860) 465-4587