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Data Analytics and Artificial Intelligence
Bachelor of Science in Information Technology
Want to use your interest in big data and artificial intelligence (AI) to solve today’s problems?
With the BS in IT, Data Analytics and Artificial Intelligence (AI) specialization, you’ll develop skills in data transformation, manipulation, analysis and presentation to solve problems in cloud-based IT environments. You’ll also learn how to present new business opportunities that leverage AI.
Classes start October 9
Use the code MSFALL to waive the $50 application fee.
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 by $15,000
Enroll in a qualified program and apply for a $15K Capella Progress Reward, a 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
| Course | Descriptions | Quarter credits |
|---|---|---|
| IT4535 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 be able to evaluate opportunities for applying AI. Prerequisite IT2230; IT2240 or IT2249 |
6 quarter credits |
| IT4738 Tools and Techniques for Data Science with Python | 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 IT2230; IT2240 or IT2249 |
6 quarter credits |
| IT4345 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.
|
6 quarter credits |
| IT4537 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. 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. Prerequisite IT2230 |
6 quarter credits |
| IT4737 Database Development | 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.
|
6 quarter credits |
*Course has prerequisite(s). See catalog for details.
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.
Review the Capella career exploration guide to learn more about this program and career paths to explore.
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
$18,675
MAX TRANSFER CREDITS
$39,785
AVERAGE TRANSFER CREDITS
$365 per 1000-2000 level credit $415 per 3000-4000 level credit, $175 resource kit fee, 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-$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.
Get the details
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.
*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.
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:
- High school diploma or equivalent
- Transcript of any reported GED
- A $50 nonrefundable application fee, required at the time of application, to cover transcript requests, transcript evaluation, and other administrative costs
- You must be at least 24 years old. This requirement may be waived for:
- Military applicants and veterans
- Applicants with 24 or more quarter credits of prior college or university coursework (transferable college coursework and/or credentials that map to preapproved Credit for Prior Learning opportunities may be considered toward the 24-credit minimum equivalency total)
- Applicants who do not have any credits eligible for transfer must successfully complete a university-approved reading and writing assessment; by evaluating your skills prior to your first course, Capella can more effectively provide resources to prepare you for a successful learning experience
- 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.
What support does Capella offer online students?
Our programs are designed to meet the unique needs of bachelor’s students. 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
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Why you need real world IT experience—and how to get it
Get the details on every IT program offered at Capella University – including learning formats, financing options, and more, all in one place.
IT program guide
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Credit for prior learning
See what you may be able to save with previous learning and certifications.
Professional paths to explore
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.
Job titles to explore
- Data architect
- Data modeler
- Data engineer
- Data scientist
- Data scientist consultant
Employment settings to explore
- Professional, Scientific and Technical Services
- Finance and Insurance
- Manufacturing
- Information
- Retail Trade
- Health Care and Social Assistance
- Public Administration
- Management of Companies and Enterprises
- Wholesale Trade
- Utilities