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Master of Science Applied Data Analytics

Designed for novice to experienced professionals looking for real-world experience to develop data skills. This 100% online program provides an in-depth and hands-on study in analytics with the added advantage of applying the skills and knowledge to your field of interest.

What is Data Analytics?

Data analytics is the science of converting collections of raw data into relevant and actionable insights to support decision-making. It includes the methods and technologies to transform and analyze data, and present the results in a meaningful way. Data analytics enables organizations to discover new knowledge and wisdom resulting in new efficiencies and opportunities.

Advantages of a Master’s Degree

A master’s degree in Applied Data Analytics provides an in-depth study of analytics with the added advantage of applying the skills and knowledge to your field of interest. Students apply modern technologies and methods to study data from any industry to discover new insights and turn these insights into actionable decisions. The master’s curriculum covers a broad range of analytics topics, emphasizing the ethical implementation of analytics and decision-making.

Fast Facts

  • Application of data analysis tools like Python, R, Tableau, PowerBI, SQL and Excel
  • Performing data analytics locally and in a cloud environment
  • Emphasizes the ethical use of data and decision-making
  • Faculty with advanced degrees and professional work experience
  • Online format, accelerated eight-week terms; finish in under two years*
  • 37 total program credits

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  • Detailed program overview
  • Personalized financial aid
  • Individual admissions support

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Admissions Counselor
218-625-4974
jjanchar@css.edu

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My experience was amazing and was enriched by sharing ideas and insights with the others in my cohort.

Chris Schroeder

Degree Details

Tuition

Tuition: $625/credit*

* Tuition rates are for the 2025-26 academic year. Additional fees and costs for course materials may apply. Total program cost and completion time varies depending on transfer credits and individual program plans. Tuition rates are subject to change. View 2024-25 rates.

Program Overview

Strengths of the Program

Integrated Curriculum

Step into a program designed with intention. Instead of piecing together existing courses, our curriculum is a tailored experience designed specifically for data analytics. With seamless integration across courses, you’ll build on the knowledge gained from each course as you progress through each step of your educational journey.

Applied Assignments and Projects

Our students utilize cutting-edge tools and methodologies to tackle real-world challenges within their chosen field. This approach ensures that the knowledge gained in class seamlessly translates into valuable skills for your professional endeavors.

Just-in-Time Learning

Our program integrates the needed mathematical and computing concepts within the data analytics courses. Students from varied backgrounds may enroll directly in the program without needing extensive prerequisite courses.

Ethics Across the Program

Ethical behaviors and decisions are especially important in the field of data science. Ethical considerations addressing data collection, interpretation and dissemination are critical for organizations to maintain trust while searching for new discoveries. For this reason, ethical considerations are integrated into the entire curriculum.

Industry-Focused Faculty

Gain practical industry insights from our instructors, who are actively engaged professionals in their field.

Cohort Model

Students progress through the courses as a cohort, beginning with the fundamental core courses and continuing through the advanced coursework, concluding with a capstone project. The sequencing of your courses is essential. As a student, you will master fundamental course topics first, preparing you for advanced coursework.

Format, Start Dates and Program Length

Each course is delivered in an online format as an eight-week class and taught by instructors possessing advanced degrees and experience in the data analytics profession.

Students may begin the program in the fall or spring semesters and are able, and encouraged, to enroll in two courses for each semester. Completion of two courses a semester enables the student to complete the program in about two years.

Curriculum

Visit our Catalog to view the program, course and degree requirements, and learning outcomes. Be sure to create your course plan in consultation with your advisor.

View Requirements

View Learning Outcomes

Career Outlook

Data analysts and data scientists have opportunities across various industries, including healthcare, banking, marketing, research and development, computer and information systems, management, human resources and other management roles. The Bureau of Labor Statistics projects that employment for Data Analysts/Operations Research Analysts will grow by 23% and Data Scientists will increase by 35% between 2022 and 2032. Pursue the Master’s in Applied Data Analytics to enhance your professional experience and apply data analytics to your field of interest.

Admission Information

Visit our admissions page for information about transcripts, online application, international admissions, financing and the Center for Equal Access.

Application Deadlines

Fall: Aug 15

Eligibility

New Students
  • BA/BS degree from an accredited college or university
  • Cumulative GPA of 2.8
Note: Meeting minimum entrance requirements does not guarantee admission.
Returning Students

A returning student is a student who was admitted and enrolled in a program at St. Scholastica but has been absent from the program for at least three continuous semesters, including summer. To return to the same program at St. Scholastica, a returning student must be in good academic standing and must apply for readmission to the College.

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