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M.S. in Applied Economics vs. M.S. in Applied Analytics

Which Degree Is Right for You?

Lead in Data—No Matter Where Your Career Leads You

Shaped by industry leaders and experienced faculty practitioners, our degree programs provide flexible learning paths to build relevant professional skills in a host of careers. Students seeking to gain an understanding of consumer and market behaviors and basic and advanced skills in data application and analysis can choose from two cutting-edge programs—or a dual degree that provides breadth in both economic theory and practical analytics tools. Each program offers multiple learning modalities and numerous electives to align your coursework with your professional goals. Use the chart below to identify the program that’s best for you. 

Degree

Master of Science in Applied Economics (M.S.A.E.)

Prepares students for success in various fields through a broad, rigorous curriculum that emphasizes economic theory and widely applicable analytical tools. Students gain the expertise to effect change across organizations and industries through formulating policies, developing forecasts, understanding consumer behavior, and analyzing market efforts.

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Recent college graduates and established professionals who want to lead in today’s data-driven workplace.

  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Prerequisite courses:
    • Principles of Microeconomics
    • Principles of Macroeconomics
    • Statistics
    • Calculus I
    • Calculus II (may be taken concurrently during your first semester of study)

 

  • On campus, online, or hybrid
  • Full or part time

 

10 courses, 30 credits

  • 12 months (full time)
  • 20 months (part time)

 

  • Master the tools and methods to understand complex policy, industry trends, analytic strategies, and modeling
  • Learn to evaluate policies and programs, develop forecasts, track consumer behavior, and design marketing campaigns
  • Build the theoretical foundation and quantitative skills to form policies and strategies that can make a real impact on organizations, industries, and society

 

Degree

Master of Science in Applied Analytics (M.S.A.A.)

Readies students to help drive the data analytics revolution by leveraging the power of modern analytical tools like machine learning and AI. Students acquire the skills to solve real-world problems in almost any industry by identifying and communicating actionable data insights that drive business and policy decisions.

LEARN MORE

Recent college graduates and established professionals who want to elevate their careers in a rapidly growing field.

  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Prerequisite courses:
    • Statistics
    • Calculus I
  • On campus, online, or hybrid
  • Full or part time

10 courses, 30 credits

  • 12 months (full time)
  • 20 months (part time)
  • Design analytic approaches to solve complex problems
  • Understand and deploy advanced analytic techniques in search of actionable insights
  • Use machine learning and artificial intelligence tools and approaches to leverage data for business and policy decisions
  • Draw insights from analytics and communicate them clearly to non-technical audiences
  • Drive real impact based on results and insights from analytics

Degree

Dual Master of Science in Applied Economics and Applied Analytics

Provides students with the breadth and rigor of applied economics while enabling them to explore modern analytical tools like machine learning and AI. Students become proficient in applying traditional and advanced analytical approaches to complex challenges in a variety of fields.

Recent college graduates and established professionals looking to acquire complementary skill sets that prepare them for careers in applied economics or applied analytics.

  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Applicants should apply to each program separately and must be admitted to both
  • Applicants must satisfy all admission requirements for both programs, including prerequisite courses

 

  • On campus, online, or hybrid
  • Full or part time

 

15 courses, 45 credits

  • As few as 21 months (full time)
  • Completion times for students enrolled in part-time study will vary depending on the number of courses taken each semester

 

  • Master the tools and methods to understand complex policies, industry trends, and analytic strategies
  • Build the theoretical foundation and quantitative skills to evaluate policies and programs, develop forecasts and track consumer behavior, and design impactful marketing campaigns
  • Design analytic approaches to solve complex problems
  • Deploy advanced analytic techniques, including machine learning and artificial intelligence, to extract actionable insights
  • Communicate insights to non-technical audiences clearly and effectively
  • Drive real impact on organizations, industries, and society through data-driven decision-making

 

DegreeMaster of Science in Applied Economics (M.S.A.E.)Master of Science in Applied Analytics (M.S.A.A.)Dual Master of Science in Applied Economics and Applied Analytics
Focus

Prepares students for success in various fields through a broad, rigorous curriculum that emphasizes economic theory and widely applicable analytical tools. Students gain the expertise to effect change across organizations and industries through formulating policies, developing forecasts, understanding consumer behavior, and analyzing market efforts.

Learn More

Readies students to help drive the data analytics revolution by leveraging the power of modern analytical tools like machine learning and AI. Students acquire the skills to solve real-world problems in almost any industry by identifying and communicating actionable data insights that drive business and policy decisions.

Learn More

Provides students with the breadth and rigor of applied economics while enabling them to explore modern analytical tools like machine learning and AI. Students become proficient in applying traditional and advanced analytical approaches to complex challenges in a variety of fields.

Ideal for

Recent college graduates and established professionals who want to lead in today’s data-driven workplace.

Recent college graduates and established professionals who want to elevate their careers in a rapidly growing field.

Recent college graduates and established professionals looking to acquire complementary skill sets that prepare them for careers in applied economics or applied analytics.

Background requirements
  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Prerequisite courses:
    • Principles of Microeconomics
    • Principles of Macroeconomics
    • Statistics
    • Calculus I
    • Calculus II (may be taken concurrently during your first semester of study)
  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Prerequisite courses:
    • Statistics
    • Calculus I
  • Bachelor’s degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0 (provisional acceptance may be considered for students whose GPA is below 3.0)
  • Applicants should apply to each program separately and must be admitted to both
  • Applicants must satisfy all admission requirements for both programs, including prerequisite courses
Modality
  • On campus, online, or hybrid
  • Full or part time
  • On campus, online, or hybrid
  • Full or part time
  • On campus, online, or hybrid
  • Full or part time
Courses and credits10 courses, 30 credits10 courses, 30 credits15 courses, 45 credits
Duration
  • 12 months (full time)
  • 20 months (part time)
  • 12 months (full time)
  • 20 months (part time)
  • As few as 21 months (full time)
  • Completion times for students enrolled in part-time study will vary depending on the number of courses taken each semester
Learning outcomes
  • Master the tools and methods to understand complex policy, industry trends, analytic strategies, and modeling
  • Learn to evaluate policies and programs, develop forecasts, track consumer behavior, and design marketing campaigns
  • Build the theoretical foundation and quantitative skills to form policies and strategies that can make a real impact on organizations, industries, and society
  • Design analytic approaches to solve complex problems
  • Understand and deploy advanced analytic techniques in search of actionable insights
  • Use machine learning and artificial intelligence tools and approaches to leverage data for business and policy decisions
  • Draw insights from analytics and communicate them clearly to non-technical audiences
  • Drive real impact based on results and insights from analytics
  • Master the tools and methods to understand complex policies, industry trends, and analytic strategies
  • Build the theoretical foundation and quantitative skills to evaluate policies and programs, develop forecasts and track consumer behavior, and design impactful marketing campaigns
  • Design analytic approaches to solve complex problems
  • Deploy advanced analytic techniques, including machine learning and artificial intelligence, to extract actionable insights
  • Communicate insights to non-technical audiences clearly and effectively
  • Drive real impact on organizations, industries, and society through data-driven decision-making

Connect with our enrollment team today to learn more and discuss which program is right for you.

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