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Data Analytics and Artificial Intelligence
Bachelor of Science in Information Technology
Leverage data and harness the power of AI to help solve complex IT problems and support organizational strategies and initiatives. Capella’s BS in IT, Data Analytics and Artificial Intelligence specialization focuses on the complete data lifecycle, from identification and collection through cleansing, analysis and presentation, within distributed and cloud-based IT systems. You’ll also explore the fundamentals of artificial intelligence, learning how to evaluate and help implement AI solutions. Our hands-on experiential learning component lets you connect courseroom assignments directly with your work projects to help you put what you’ve learned into practice.
At a glance
- Online
- 180 Total quarter credits
- 135 Max transfer credits
- 8–13 General education courses
- 8–13 Elective courses
- 10 Core courses
- 5 Specialization courses
- 2 Capstone courses
Reduce your tuition up to $15,000
Enroll in a qualified program and apply for a $15K Capella Progress Reward scholarship to help fund your bachelor's degree.
Explore Data Analytics and Artificial Intelligence (AI) courses
- This degree requires a total of 180 program credits in GuidedPath
- You’ll need to complete 8–13 general education courses, 10 core courses, five specialization courses, 8–13 elective courses and two capstone courses
Show all descriptions
IT4345
Data Modeling and Statistical Analysis
6 quarter credits
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. Learners who have received credit for IT4330 and IT4340 may not take IT4345. Prerequisite(s): IT2230. Background in foundational statistics or MAT2001 recommended.
6 quarter credits
IT4535
Introduction to Artificial Intelligence
6 quarter credits
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 be able to evaluate opportunities for applying AI. Learners who have received credit for IT4310 and IT4320 may not take IT4535. Prerequisite(s): IT2230; IT2240 or IT2249.
6 quarter credits
IT4537
Enterprise Data Storage and Data Management
6 quarter credits
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. Topics include 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. Learners who have received credit for IT4300 and IT4460 may not take IT4537. Prerequisite(s): IT2230.
6 quarter credits
IT4737
Database Development
6 quarter credits
Learners investigate relational database development, data requirements, and data modeling. Learners assess database design and implementation principles and use the Structured Query Language (SQL) to create tables, objects, and queries. Learners evaluate the interactions of application objects in an assortment of databases and data repositories. Learners design databases using data modeling, and develop connections, queries, and data manipulation for contemporary web, traditional, and mobile applications. Learners who have received credit for IT4731 and IT4733 may not take IT4737. Prerequisite(s): IT2230.
6 quarter credits
IT4738
Tools and Techniques for Data Science with Python
6 quarter credits
In this course, learners apply methods and techniques for program creation, modification, and sharing utilizing a cloud-based repository. Learners utilize Python in a command-line environment to apply querying methods to access and collect data from multiple sources (e.g. Internet, SQL and noSQL Dabases, etc.) that could be used further in applications. Data access across multiple sources as well data store in relational tables, modification of tables, and CRUD operations on databases will be discussed. Learners also explore APIs and web scraping. Prerequisite(s): IT2230, IT2240 or IT2249.
6 quarter credits
What you'll learn
The Data Analytics and AI specialization addresses the range of process and workflow concepts and activities that make up the work of data analytics within distributed and cloud-based IT environments. Specific topics include data identification and collection, data cleansing and quality measurement. These topics are applied to data mining and analytics projects involving data transformation, manipulation, analysis and presentation.
Students also examine fundamental theories and applications of artificial intelligence, including evaluation of opportunities for AI. Students who complete this specialization will be prepared to successfully solve IT problems using a variety of data analytics tools and techniques.
Upon successful completion of this program, you should be able to:
- Communicate effectively in business environments.
- Use data analytics tools for decision-making.
- Collaborate using IT tools in an organization.
- Solve loosely defined problems with data solutions.
- Understand ethical, legal and policy issues associated with IT.
- Create IT data solutions to solve organizational problems.
- Plan strategically for global and domestic environments.
- Design and model effective data solutions for an organization.
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.
Faculty spotlight
Melissa Zgola, EdD
Program Director, Information Technology
How much does the BS in IT 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
- $375 per 1000-2000 level credit $415 per 3000-4000 level credit
- $175 resource kit
- 180 total quarter credits
- 135 max transfer credits
$18,675
MAX TRANSFER CREDITS 18 months
$43,245
AVERAGE TRANSFER CREDITS 45 months
$71,074
NO TRANSFER CREDITS 78 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.
“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.
Are there scholarships available for bachelor’s degrees?
Your education is an investment in your future. There are more ways to save than you might think.
**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.
Capella University 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.
*Capella’s BS in IT program is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org. (The FlexPath option is not included in this specialized accreditation.)
What are the BS in IT admissions requirements
Applicants to the BS in Information Technology program with a specialization in Data Analytics & Artificial Intelligence must provide the following information for admission:
- Admission application – no application fee required
- High school diploma or equivalent
- A transcript of any reported GED
- 4.5 credits eligible for transfer. See Sophia Admissions Pathways as an option to obtain credits.
- Applicants under age 24, as well as those over age 24 who have no transfer credits, may be required to submit a high school transcript verifying graduation
- A valid, government-issued form of photo identification
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:
- Earn the minimum score on an acceptable test for proof of English proficiency
- Attend an internationally recognized institution
- Provide transcripts for evaluation
Learn more about international student admissions.
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IT program guide
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Credit for prior learning
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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 with a specialization in Data Analytics and AI.
Related job titles to explore*
- Data and analytics manager
- Data architect
- Data engineer
- Data governance manager
- Statistician/data scientist
Employment settings to explore*
- Administrative management and general management consulting services
- Computer-related services
- Computer systems design services
- Computing infrastructure providers, data processing, web hosting and related services
- Professional, scientific and technical services
- Scientific and technical consulting 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.