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Sharpen your focus as an IT professional and become a leader in the field of analytics. Our online MS in Analytics can help you develop your command of powerful analytic tools to support successful businesses in today’s competitive landscape. This program helps you master advanced skills in data mining, statistics, applied analytics, modeling, forecasting, and more. You’ll learn how to find, interpret and use key information to drive effective decision-making in organizational settings. Capella offers eligible students certification exam vouchers from CompTIA, Cisco, and SAS.
Use the code SPRING to waive the $50 application fee.
Enroll in a qualified program and apply for a $2.5K Capella Progress Reward, a scholarship to help fund your master’s degree. Eligibility rules and exclusions apply. Connect with us for details.
Concepts of Data Mining
In this course, learners develop their skills in creating a predictive model. Learners apply data mining algorithms, models, and data mining modeling techniques to test, fit, and implement an algorithm and/or model with appropriate tools. Learners practice interpreting results to find an application for those results. Finally, learners apply control, feedback, and evaluation approaches to enhance, continue, or retire the algorithm or model using big data. Prerequisite(s): ANLT5030. Graduate certificate learners in Advanced Analytics Using SAS® are exempt from this prerequisite.
|4 quarter credits|
In this course, learners evaluate forecast model outcomes to solve organizational problems. Learners examine the impact of time and data latency on forecasting, and practice identifying patterns in the output of forecast models. Learners also apply forecasting techniques in their communication with stakeholders. Prerequisite(s): ANLT5030.
|4 quarter credits|
Learners in this course gain an understanding of the early stages of text mining. Learners examine document management practices, text-scraping techniques, and various methods for modeling their findings as they solve text-based mining problems. Prerequisite(s): ANLT5030. Graduate certificate learners in Advanced Analytics Using SAS® are exempt from this prerequisite.
|4 quarter credits|
Advanced Analytics and Modeling
Learners in this course demonstrate advanced practice in applying the analytic life cycle. Learners examine approaches to visual analytics and are introduced to geospatial data techniques. Learners also apply their analytic skills to current organizational problems and apply analytic solution scoring and project management skills for effective team performance. Prerequisite(s): ANLT5050.
|4 quarter credits|
In this course, learners articulate the value of visualization to telling the analytic story to stakeholders. Learners explore the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Learners also develop skills for presenting data to stakeholders in a succinct and relevant manner. Prerequisite(s): ANLT5030.
|4 quarter credits|
*Course has prerequisite(s). See catalog for details.
The MS in Analytics helps you establish the skills to work with, understand and transform data to support decision-making in global business environments. Students learn how to command analytic tools and develop advanced solutions that address organizational and technical problems. The curriculum is designed to help you analyze business challenges, complete data projects, develop critical systems and applications and adhere to ethical standards.
On successful completion of this program, you should be able to:
Review the Capella career exploration guide to learn more about this program and career paths to explore.
The total cost of your degree will depend on academic performance, transfer credits, scholarships and other factors. See GuidedPath cost information below.
A structured learning format with an active peer community and faculty guidance. We’ll set the schedule, you meet the deadlines.
$715 per credit, 48 total quarter credits, 12 max transfer credits
*This is only an estimate, effective July 10, 2023, and is subject to change. Your price will vary depending on your specialization, transfer credits, and tuition discounts. Books, supplies, and other fees are not included in this estimate. GuidedPath prices show the tuition you would pay if you brought in an average number of transfer credits or the maximum allowed transfer credits. New or recently revised program estimates are based on comparable programs.
Capella is committed to transparency in its tuition and pricing. In addition to tuition, you will be responsible for additional costs, which may include an application fee, travel expenses, and practicum costs. A resource kit fee of $50-$175, charged quarterly or per billing session, covers the cost of required books, software, and other course materials. Click here to review program-specific fee amounts in our University Catalog.
Find out more about financing and payment options to help you complete your program. Federal aid also is available to help manage the costs of higher education. Learn more about financing your education.
Questions about cost?
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Accreditation and recognitions provide evidence that we meet standards for quality of faculty, curriculum, learner services, and fiscal stability. See all our accreditations and recognitions.
Applicants to the MS in Analytics program must provide the following information for admission:
GRE and GMAT are not required for admission.
International student requirements
If you completed your most recent academic coursework, degree, or credential at an institution outside the United States, regardless of your citizenship or where you currently live, you are considered an international applicant.
In addition to the above admission requirements, you will need to submit these materials:
Learn more about international student admissions.
Our programs are designed to meet the unique needs of a master’s student. We’ve structured the experience in manageable pieces to help you earn your degree with support from faculty, staff and online resources.
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Your education can help you reach your professional and personal goals. While Capella cannot guarantee that a graduate will secure any specific career outcome, such as a job title, promotion, or salary increase, we encourage you to explore potential jobs and employment settings. Here are some ideas and examples for a graduate with an MS in Analytics.
Job titles to explore
Employment settings to explore
*These are examples intended to serve as a general guide. Some positions may prefer or even require previous experience, licensure, certifications, and/or other designations along with a degree. Because many factors determine what position an individual may attain, Capella cannot guarantee that a graduate will secure any specific job title, a promotion, salary increase, or other career outcome. We encourage you to research requirements for your job target and career goals.