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Analytics
Master of Science in Analytics
Harness the power of data analytics and take the next step in your career. Capella’s online Master of Science in Analytics teaches you to transform raw data into actionable insights and present your findings to key stakeholders, helping businesses win in this competitive marketplace. You’ll learn to support decision-making and help solve organizational problems using advanced applied analytics and modeling techniques. The competency-based curriculum also provides an in-depth understanding of statistical principles, forecasting tools and data mining methodologies.
At a glance
- Online
- 11 Core courses
- Capstone
- 48 Total quarter credits (12 max transfer credits)
Reduce your tuition up to $2,500
Enroll in a qualified program and apply for a $2.5K Capella Progress Reward scholarship to help fund your master's degree.
Explore analytics courses
- This degree requires a total of 48 program credits
- You’ll need to complete 11 core courses and one capstone
Show all descriptions
ANLT5050
Concepts of Data Mining
4 quarter credits
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
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
ANLT5070
Text Mining
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
ANLT5080
Advanced Analytics and Modeling
4 quarter credits
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
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.
What you'll learn
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
How much does the MS in Analytics cost?
The total cost of your degree will depend on academic performance, transfer credits, scholarships and other factors. See GuidedPath cost information below.
- 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 quarter
- $735 per credit
- $175 resource kit
- 48 total quarter credits
- 12 max transfer credits
$35,280
NO TRANSFER CREDITS 27 months
*This is only an estimate, effective July 7, 2025, and is subject to change.
Capella is committed to transparency in tuition and pricing. You will be responsible for costs in addition to tuition, which may include your resource kit, travel expenses and practicum costs.
Your tuition amount will vary depending on your unique circumstances such as your program specialization, transfer credits and any applicable tuition discounts. Books, course materials, supplies, equipment and other expenses are not included. Tuition estimates shown for the GuidedPath learning format depend on the number of credits accepted for transfer.
New or recently revised program estimates are based on comparable programs. Review program-specific fee amounts in our University Catalog.
Get the details
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.
Connect with an enrollment counselor to further discuss the cost of the program and explore your eligibility for scholarships and discounts.
Questions about cost?
Contact an enrollment counselor.
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What are the MS in Analytics admission requirements?
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
- Admission application – no application fee required
- 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.
What support does Capella offer online students?
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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What can you do with an MS in Analytics degree?
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*
- Decision science analyst
- Principal scientist
- Research assistant/data analyst
Employment settings to explore*
- Administrative management and general management consulting services
- Commercial banking
- Consumer lending
- Direct health and medical insurance carriers
- General medical and surgical hospitals
- Miscellaneous retailers
- Pharmaceutical preparation manufacturing
*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.