Analytics
Master of Science in Analytics

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, Microsoft, SAS, and PMI.

IT Analytics expertise

Work with tools including SAS®, R, Python, and Tableau to enhance skills in data mining, statistics, modeling, forecasting, and more.

Ways to influence with data

Develop an understanding of transforming data for business solutions, while also building soft skills that can help you offer insights and communicate results to your organization.

SAS® collaboration

Our collaboration with SAS®, the leader in analytics software, allows you to gain skills that employers value.

Classes start January 10

At a Glance

Online
11 Core courses
Capstone
48 Total quarter credits (12 max transfer credits)

Reduce your tuition by $3,000

Enroll in a qualified program and apply for a $3K Capella Progress Reward, a scholarship to help fund your master’s degree.

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Admission Requirements

Applicants to the MS in Analytics program must provide the following information for admission:

Bachelor’s degree from an institution accredited by a U.S. Department of Education-recognized accrediting agency or an internationally recognized institution
Your official bachelor’s transcripts, minimum grade point average of 2.3 or higher on a 4.0 scale
A $50 nonrefundable application fee, required at the time of application, to cover transcript requests, transcript evaluation, and other administrative costs
A background acknowledgement form that indicates your technology degree or relevant work requirements for this program
A valid, government-issued form of photo identification

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:

Minimum score on acceptable test for proof of English proficiency
Transcript evaluation

Learn more about international student admissions.

GUIDEDPATH

A structured learning format with an active peer community and faculty guidance. We’ll set the schedule, you meet the deadlines.

Learn more about GuidedPath »

Based on the quarter system; 1–3 courses per 10-week quarter
1 semester credit = 1.5 quarter credits
Weekly assignments and courseroom discussions
Pay for what you take, price varies by courseload or term

$25,020–$33,360^* MAX TRANSFER CREDITS–AVERAGE TRANSFER CREDITS

$695 per credit, 48 total quarter credits, 12 max transfer credits

Learning outcomes »

View all tuition and fees »

*This is only an estimate, using general program pricing, and it does not include fees (including application and resource kit fees). Your price may be higher or lower depending on your specialization, transfer credits, and tuition discounts. If transfer credits are allowed in this offering, the prices above show what you would pay if you brought in the average number of transfer credits and the price if you brought in the maximum allowed transfer credits.

Questions about cost?

Contact an enrollment counselor.

“Working full time as a Network Technician meant I needed to take classes at times that would work for me. Capella checked off all the boxes! The flexibility was outstanding.”

Will Resendes* – BS IT

*Actual Capella student who agreed to appear in promotional materials.

Your education is an investment in your future. There are more ways to save than you might think.

$3,000 toward your master’s

Apply for a $3,000 Capella Progress Reward, a scholarship to help fund your master’s degree.

Prior learning assessment

Save with your IT certifications. Earn credits through prior learning assessment when you demonstrate mastery of competencies; you may also be eligible to transfer credits from previous coursework. See what you could save on your IT degree.

Employer & association discounts

If your employer or organization is a partner with Capella, you may be eligible for a tuition discount.

Show course with description

ANLT5050 *	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
ANLT5060 *	Applied Forecasting 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
ANLT5070 *	Text Mining 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
ANLT5080 *	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
ANLT5100 *	Visual Analytics 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.

View all courses

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:

Apply analytic and statistical techniques to support decision-making and problem solving
Identify data and data sources relevant to a decision-making scenario or problem
Select analytic tools and statistical methods appropriate to a scenario or problem and justify their usage
Apply analytic tools, statistical methods, and techniques to address a decision-making scenario or problem
Address ethical, legal, global and cultural factors in the analytics process at the individual, organizational, and societal levels
Communicate analytic methods and results with multiple audiences

Review the Capella career exploration guide to learn more about this program and career paths to explore.

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

Data analyst
Business analyst
Director of technology
Technology manager
Solutions architect
Data architect
Systems analyst

Employment settings to explore

Land-based or online college or university
Government – local, state, federal
Insurance carrier
Hospital
Manufacturing
Financial service
Consulting service
Telecommunications carrier
Bank
Retail

*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.

Capella University is accredited by the Higher Learning Commission.

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.