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Classes Start April 12th
Ready to get started? We’re ready for you. Chat with an enrollment counselor or apply now to take the first step on the journey toward your future.
$50 application fee (waived w/promo FALL20).
MS in Analytics program highlights
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; you’ll have access to a full enterprise suite of SAS® software.
SAS® certifications
Gain the skills you need to take certification exams, including SAS® Base Programmer, Certified Advanced Programmer for SAS® 9, and SAS® Certified Statistical Business Analyst Using SAS® 9—and earn vouchers to take them for free.
Cutting-edge experience
With Capella’s virtual internship, you have the opportunity to grow as a strategic partner, data analyst, and dynamic leader.
92% of alumni are satisfied with their Capella education.
Alumni Outcomes Survey 2019-2020
Faculty & support
You’re never going it alone at Capella. Our dedicated faculty and support teams are waiting to guide, help, and advise you through every step of your educational journey.
Enrollment counselors
These experts will set you up for success. They’ll help you find the right degree and program, and answer all your questions about Capella.
Financial aid counselors
Our financial aid team knows how to run the numbers and help save on tuition.
Advisors
Advisors know the details of your program. Got questions about courses? Instructors? Resources? Advisors have answers.
Faculty
Our courses are taught by distinguished faculty members who hold top credentials and have hands-on expertise in their fields. They know what you need to know today.
Cost & learning format
A more structured learning format with an active peer community and faculty guidance. We’ll set the schedule, you meet the deadlines.
- 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–TYPICAL TRANSFER CREDITS
$695 per credit,
48 total quarter credits,
12 max transfer credits
*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.
Get the details
Speak with an enrollment counselor to get a personalized cost estimate for what you can expect to pay.
Accredited & recognized
Capella University is accredited by the Higher Learning Commission.
Accreditation and recognitions provide the assurance we meet standards for quality of faculty, curriculum, learner services, and fiscal stability. See all of our accreditations and recognitions.
Ways to save
At Capella, we believe your education is an investment in your future. It’s also an investment within your grasp. Your goals are achievable—there are more ways to save than you might think.
10% military discount
If you're an active-duty military service member, spouse, or veteran, discounts may be available.
Employer & association discounts
If your employer or organization is a partner with Capella, you may be eligible for a tuition discount.
Scholarships for new students
Non-need-based scholarships are available to qualifying students and never have to be repaid.
MS in Analytics sample courses
The online master’s in analytics degree helps you develop skills in data sources, statistics, data mining, applied analytics and modeling, leadership, reporting, and forecasting, in order to solve problems within a variety of industry domains.
| 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 |
What you’ll learn
The right education can change everything. Discover your path to leading with an online analytics degree.
- Solve organizational problems using analytics to provide positive alternatives.
- Learn to select and use appropriate analytics tools.
- Apply ethical considerations to the analysis and presentation of your findings.
- Build your communication skills to collaborate with stakeholders.
- Represent data and information accurately through effective reporting and visual analytics.
- Develop models using both structured and unstructured data from multiple sources.
"I was surprised at how much support I received from my professors, classmates, and academic coach. Capella was referred to me by a former employer, and it was the best decision I could have made during a rough time of job insecurity and financial distress."
Capricia M.*
MS in Analytics
*Actual Capella student who agreed to be profiled in Capella promotional materials.
MS in Analytics career insights
A Deep Dive into Data Analytics
Common questions related to data analytics, career opportunities, and recommended soft skills in the field.
5 Essential Blogs for Data Professionals
Data professionals don’t have to look far to find knowledgeable industry resources and content. Here are five blogs for analytics news.
5 Skills Needed to Work in Big Data
Want to grow your career in data analytics? Turn your attention to demonstrating these five skills.
Move forward in your career
Here are just some of the career options you could explore with our online master’s in analytics degree.
Related job titles to explore*
- Data scientist
- Business analyst
- Data analyst
- Business intelligence analyst
- Financial analyst
- Systems analyst
- Data architect
- Solutions architect
- Adjunct or part-time information technology faculty
- Software engineer
- Technology manager
- Director of technology
Employment settings to explore
- Corporation
- Consulting firm
- Military
- Government—local, state, federal
- Community college
- Land-based or online college or university
- Nonprofit organization
*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.
Other programs to explore
Is this program close to what you need, but maybe not a perfect fit? The programs below might be interesting. Check them out to find one that suits your academic and professional goals.