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IT Analytics
Master of Science in Information Technology
Ready to unlock the power of data, help drive impactful decisions and take your career to the next level? With an MS in Information Technology, Analytics from Capella, you’ll work with the industry’s best analytics tools including SAS, R, and Python to analyze business issues and transform data into key insights. You’ll also learn how to identify relevant data sources and present your findings clearly, supporting sound decision-making and problem solving. Through our experiential learning program, you can gain valuable experience by focusing on a project in your workplace or a Capella partner organization.
At a glance
- Online
- 5 Core courses
- 5 Specialization courses
- 2 Applied IT project courses
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 IT analytics courses
- This degree requires a total of 48 program credits
- You’ll need to complete seven core courses, five specialization courses and one applied IT project
Show all descriptions
ANLT5010
Foundations in Analytics
4 quarter credits
Learners in this course apply data management fundamentals to data models. Learners examine the concepts of data mining, ETLs, and data warehouses and also evaluate applied analytics in professional domains such as finance, marketing, and health care. Prerequisite(s): Completion of or concurrent registration in ANLT5002 or ITEC5020.
4 quarter credits
ANLT5020
Data Sources for Analytics
4 quarter credits
In this course, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners evaluate the application of data warehouses, data marts, and multi-dimensional cubes to decision-making and action. Prerequisite(s): Completion of or concurrent registration in ANLT5010 or HMSV5500.
4 quarter credits
ANLT5030
Statistical Methods in Analytics
4 quarter credits
In this course, learners study the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Learners practice using appropriate tools to obtain a result using statistical methods and collaborate with team members to compare processes, techniques, and conclusions to understand various perspectives. Prerequisite(s): Completion of or concurrent registration in ANLT5020 or HMSV5510.
4 quarter credits
ITEC5040
Predictive Models and Classification Methods
4 quarter credits
Learners gain the skills to utilize historical data to predict future outcomes, as well as identify patterns in current data that can be used to classify or group future observations. Learners complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods.
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
This specialization develops your ability to understand, apply, and transform data to support analytical decisions. You’ll acquire the skills and knowledge to address applied organizational and technical problems in a global environment, including the ability to design and evaluate IT systems and applications. An advanced understanding of analytics tools will anchor your ability to analyze business problems, complete data projects, 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
Program eligible for Experiential Learning
Use your experience: bring your real-world projects into the courseroom to complete assignments and demonstrate what you're learning.
How much does the MS in Information Technology 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.
Are there scholarships available for master's degrees?
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Capella 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.
What are the MS in Information Technology admission requirements?
Admission requirements
Applicants to the MSIT in Analytics program must provide the following information for admission:
- A bachelor’s degree from an institution accredited by an agency recognized by the U.S. Department of Education, or from an internationally recognized institution
- Your official bachelor's transcripts, with a grade point average of 2.3 or higher on a 4.0 scale
- Admission application – no application fee required
- 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 IT 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 MSIT in Analytics.
Job titles to explore*
- Decision science analyst
- Decision support analyst
- Director of business technology
- Operations research analyst
- Principal scientist
- Research assistant/data analyst
Employment settings to explore*
- Administrative management and general management consulting services
- Colleges, universities and professional schools
- Computer systems design services
- Custom computer programming services
- Engineering services
*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.