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IT Analytics
Master of Science in Information Technology
Strengthen your foundational knowledge with a Master of Science in Information Technology, Analytics. Gain vital skills in data-driven decision-making, statistical methods, and cultural and ethical aspects of data analysis. Engage in problem solving with hands-on coursework and develop best practices that help you grow as an individual contributor. Expand your career possibilities with a deeper knowledge of developing technology solutions and how they apply to a globally diverse field.
Classes start May 6
Use the code WINTER to waive the $50 application fee.
At a glance
- Online
- 7 Core courses
- 5 Specialization courses
- Applied IT project
Reduce your tuition by $2,500
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.
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
| ANLT5010 * |
Foundations in Analytics
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 HMSV5002 or PM5018 and ITEC5020. |
4 quarter credits |
|---|---|---|
| ANLT5020 * |
Data Sources for Analytics
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. |
4 quarter credits |
| ANLT5030 * |
Statistical Methods in Analytics
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. |
4 quarter credits |
| ITEC5040 * |
Predictive Models and Classification Methods
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. Prerequisite(s): ANLT5030. |
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.
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 diverse 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
Review the Capella career exploration guide to learn more about this program and career paths to explore.
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.
A 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 quarter
$25,740
MAX TRANSFER CREDITS
$34,320
AVERAGE TRANSFER CREDITS
$715 per credit, $175 resource kit fee, 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-$200, 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?
Contact an enrollment counselor.
83% of information technology alumni are satisfied with their Capella education.
Alumni Outcomes Survey, 2022–2023
Are there scholarships available for master's degrees?
Your education is an investment in your future. There are more ways to save than you might think.
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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
- A $50 nonrefundable application fee, required at the time of application, to cover transcript requests, transcript evaluation, and other administrative costs
- 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.
Articles and resources
Expand your perspective on academic and career topics with articles and resources from Capella University.
Credit for prior learning
See what you may be able to save with previous learning and certifications.
Why You Need Real World IT Experience—and How to Get It
Hands-on experience helps us think critically and learn quickly. Encounters with previous problems, especially in IT, are often the best predictor of our ability to solve a new one.
IT program guide
Get the details on every IT program offered at Capella University – including learning formats, financing options, and more, all in one place.
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
- Software engineer
- Data analyst
- Business analyst
- Systems engineer
- 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, and 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.