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Your interest in big data can be transformed into a professional asset that helps businesses perform better. The online Bachelor of Science in Information Technology with a minor in Data Analytics is designed to equip you with marketable skills for today’s information-intensive world. Establish your expertise in the analysis and preparation of datasets, understand the role of data mining and governance, and learn how to collaborate with business analysts to support key business objectives. The program develops your ability to understand and solve real-world challenges using the latest tools, techniques and workflow concepts in the field of data analytics. It also provides foundational knowledge that can help you pursue SAS® certifications.
Use the code SPRING to waive the $50 application fee.
Enroll in a qualified program and apply for a $15K Capella Progress Reward, a scholarship to help fund your bachelor’s degree.
Data Governance and Stewardship
This course covers legal and ethical issues pertaining to information security and privacy. Learners demonstrate an understanding of core organizational processes and workflows and how these factors impact core data processes. Prerequisite(s): ACS1003 or BUS3007 or IT2230.
|3 quarter credits|
ETL and Data Transformation
Learners in this course focus on the extraction, transformation, and loading (ETL) process, which is used to prepare and provide data that supports the work of data analytics. Learners study how ETL is used to identify, clean, transform, and serve the most effective data for data analytics projects. Learners apply tools and technologies specific to these activities in order to gain an understanding of the alternatives and applications appropriate within different contexts. Prerequisite(s): IT2230.
|3 quarter credits|
Introduction to Artificial Intelligence
In this course, learners investigate the fundamental problems, theories, and algorithms of the field of artificial intelligence (AI), including heuristic search and game trees, knowledge representation, automated deduction, and its applications, problem-solving and planning, and an introduction to machine learning and other techniques to employ AI. Learners gain an understanding of the fundamental theories of artificial intelligence and evaluate opportunities for applying AI. Prerequisite(s): IT2230, IT2249.
|6 quarter credits|
Data Modeling and Statistical Analysis
In this course, learners use data mining and analytics tools to identify, evaluate, and prepare data for analysis. Learners also take an advanced look at the role of statistical analysis in solving real world problems, timely, and effectively completing data analytics projects. Prerequisite(s): IT2230. Background in foundational statistics or MAT2001 recommended.
|6 quarter credits|
Enterprise Data Storage and Data Management
Learners in this course investigate distributed and cloud-based technologies used within the IT industry, and the impact those technology selections have on data distribution and analytics. Learners analyze the impact of data storage technologies on the use of data and how data security and privacy controls within storage technologies constrain or support access to that data. Learners apply data storage technologies and tools to determine how they impact the management and analysis of data. Prerequisite(s): IT2230.
|6 quarter credits|
*Course has prerequisite(s). See catalog for details.
The data analytics minor is designed to equip you with the knowledge, skills and abilities necessary to successfully solve IT problems using a variety of analytics tools and techniques. The curriculum addresses the range of process and workflow concepts and activities that comprise data analytics within IT environments. Specific topics include the data identification, collection, cleansing and quality measurement. These topics are applied to data mining and analytics projects involving data transformation, manipulation, analysis and presentation. You’ll learn how data governance and management can impact analytics and data preparation. You’ll also develop an understanding of how data transformation and manipulation can be used to prepare datasets that inform practical business solutions. This minor provides foundational information for students with an interest in pursuing SAS® certifications.
On successful completion of this program, you should be able to:
Review the Capella career exploration guide to learn more about this program and career paths to explore.
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.
$365 per 1000-2000 level credit $415 per 3000-4000 level credit, 180 total quarter credits, 135 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-$175, 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.
Connect with an enrollment counselor to further discuss the cost of the program and explore your eligibility for scholarships and discounts.
“The material that Capella used in their classes provided real-world examples of IT industries. I felt that these gave me greater insight into not only how things work but to think more strategically.”
Will Resendes* – BS Information Technology
*Actual Capella graduate who agreed to appear in promotional materials.
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*Additional fee of $50 assessed each quarter you request documented credit.
**Learners who submit IAC-IT documented credit for the CISSP, CISM, CISA, CEH and SSCP can be awarded a maximum of 5 specialization courses through documented credit. They may be able to submit petitions for the remaining credits allowed for CPL in their curriculum.
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.
*The FlexPath format for the BS in Information Technology program specializations is not accredited by the Computing Accreditation Commission of ABET.
Applicants to the BS in Information Technology program with a minor in Data Analytics must provide the following information for admission:
SAT and ACT are not required for admission.
International student requirements
If you live outside the U.S. or aren’t a U.S. citizen, you may be considered an international student.
To meet the requirements for Capella admission, you must:
Learn more about international student admissions.
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 a Bachelor of Science in Information Technology and a minor in Data Analytics.
Job titles to explore
Employment settings to explore
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