Master of Science in Analytics

Prepare to advance your career in the diverse field of data analytics.

Master of Science (MS) in Analytics specialization

Improve your ability to work with, understand, and transform data to develop solutions that resolve applied problems while effectively providing insights and communicating results to the organization. Develop skills in data sources, statistics, data mining, applied analytics and modeling, leadership, reporting, forecasting, and visualization in order to solve problems within a variety of industry domains. Strengthen your collaboration, communication, presentation, and negotiation skills. This program is aimed at people who want to pursue careers in the diverse field of data analytics.

Outcome goals and graduates' proficiency levels

We have not collected enough information to publish learning outcome data for this program.

Quality and Professional Relevance

  • Capella's MS in Analytics was developed in collaboration with SAS
  • The MS in Analytics is aligned to the following certifications: SAS Certified Base Programmer for SAS 9, SAS Certified Advanced Programmer for SAS 9, SAS Certified Statistical Business Analyst Using SAS 9, SAS Certified Predictive Modeler Using SAS Enterprise Miner 13.

Expected Program Outcomes

  1. Apply foundational theories of the field.
  2. Formulate organizational problems to be solved using analytics to provide actionable alternatives.
  3. Represent data and information through effective reporting and visual analytics.
  4. Develop models using both structured and unstructured data from multiple sources.
  5. Select and use appropriate analytic tools.
  6. Apply ethical considerations to the analysis and presentation of results.
  7. Apply communication skills to collaborate with stakeholders.

Master's Information Technology Degree Program Graduates

Data from graduates across all Information Technology Master's programs have been combined for these Career Outcomes results.

The graphs below show some key findings from Capella's Alumni Outcomes Survey. We use this information to help improve our courses, programs and services and to give you an idea of how alumni are using their degrees.

Satisfaction with Capella Business & Technology Doctoral Graduates

Percentage of respondents who answered "strongly agree" or "agree."
Source: Responses to the Alumni Outcomes Survey one year after graduation. The data were collected during Q3 2015 - Q2 2016.

Improvements in Skills & Abilities Business & Technology Master's Guide

Percentage of respondents who indicated they had accomplished each item.
Source: Responses to the Alumni Outcomes Survey one year after graduation. The data were collected during Q3 2015 - Q2 2016.

Master's Information Technology Degree Program Graduates

Data from graduates across all Information Technology Master's programs have been combined for these Student Experience results.

The graphs below show some key findings from Capella's Alumni Outcomes Survey. We use this information to help improve our courses, programs and services and to give you an idea of how alumni feel about Capella and what general skills and abilities they gained.

Satisfaction with Capella Business & Technology Doctoral Graduates

Percentage of respondents who answered affirmatively.
Source: Responses to the Alumni Outcomes Survey one year after graduation. The data were collected during Q3 2015 - Q2 2016.

Improvements in Skills & Abilities Business & Technology Master's Guide

Percentage of respondents who rated themselves as "proficient" or "exceptional" on ability to demonstrate the skill or ability on the job.
Source: Responses to the Alumni Outcomes Survey one year after graduation. The data were collected during Q3 2015 - Q2 2016.

Expense, completion, & career information (Gainful Employment)

Capella believes in being clear about the real cost, time, and value of a Capella degree The Gainful Employment disclosures, required by the US Department of Education (ED) (under 34 CFR 688.6 ), provide some information about completion, expenses and occupations based on learners who graduated between July 2014 and June 2015. Most of our students are part-time so they might not take a full course load or attend all 4 quarters each year. We took that into account in calculating these data. For example, we define program length for certificates and master's and doctoral degrees as the number of calendar quarters it takes a typical student to complete a program. The ED has defined time to complete for a Bachelor's degree as 4 years. Program cost is based on the specific pricing structure for each program which is either a cost per credit or a cost per active quarter.

Other related information may be found on the Learning Outcomes, Career Outcomes, and Student Experience tabs on this page.

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Learn more about these values and how they are calculated»

See Gainful Employment data for this program's specializations

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Alumni Success Story Quote

Photo of Marc Allen Martin-ez Marc Allen Martin-ez

"I like that as part of my degree I could create a new tool that is used in the real world."

Read Marc's story »