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AI Degree Online – Data Analytics Master's Degree Online

Step into the future with ¶¶Òõ̽̽App's Master of Science in Artificial Intelligence (MSAI) with a specialization in Data Analytics — an AI degree online built for working professionals ready to drive innovation across industries. This isn't just an artificial intelligence degree online; it's a career launchpad. You'll gain the practical knowledge and hands-on tools to solve real-world problems using generative AI fundamentals, machine learning, natural language processing, and data visualization analytics — from day one.

This online data analytics degree positions you to accelerate digital transformation in your organization by integrating AI-based systems, data engineering fundamentals, and intelligent automation into business operations. The curriculum is tailored for leaders across healthcare, finance, manufacturing, tech, education, and beyond — equipping you to apply cutting-edge technologies for strategic advantage.

Why Pursue My Master's in AI and Data Analytics at ¶¶Òõ̽̽App?

In today's economy, AI fluency isn't optional — it's a differentiator. ¶¶Òõ̽̽App's data analytics degree online delivers:

Industry-Aligned Curriculum

Learn from faculty with deep AI expertise, including former federal policy leaders, tech entrepreneurs, and senior advisors in AI business transformation. You'll learn to work alongside machine learning engineers, senior data scientists, and project managers to implement AI solutions across industries — with exposure to tableau for data analytics, statistics for data analytics, and feature engineering techniques that translate directly to the workplace.

Practical Business Application

This business analytics degree online is anything but theoretical. From day one, you'll use commercial AI platforms and cloud-based tools to solve actual business challenges — preparing you to demonstrate immediate ROI for your employer or client.

Christian Ethical Foundation

¶¶Òõ̽̽App integrates data ethics, AI governance and compliance, responsible AI principles, and Biblical values throughout the curriculum. You'll graduate with both the technical ability and the character to lead ethically in a rapidly changing world.

Student-Centered Support

Flexible online courses, tech support, tutoring, and a community of fellow professionals who share your commitment to impact. This data science and artificial intelligence degree is designed for working adults, with faculty who understand how to support learners from both technical and non-technical backgrounds.

What will I Learn in this Artificial Intelligence Program?

This artificial intelligence degree online covers both foundational AI knowledge and advanced expertise in data-driven decision-making. Core learning areas include:

  • Generative AI Fundamentals & Large Language Models — Use platforms like ChatGPT to create content, synthesize information, and automate workflows
  • Data Visualization Analytics — Transform complex datasets into meaningful, actionable insights for decision-makers
  • Statistics for Data Analytics — Build the quantitative foundation needed for rigorous data analysis and modeling
  • Feature Engineering Techniques — Prepare and optimize data inputs to improve machine learning model performance
  • Data Engineering Fundamentals — Understand the pipelines, infrastructure, and architecture that power AI systems
  • Tableau for Data Analytics — Apply industry-standard visualization tools to communicate data insights clearly
  • Machine Learning & Neural Networks — Master deep learning, reinforcement learning, and unsupervised learning for predictive modeling
  • AI Governance and Compliance — Explore the regulatory, ethical, and organizational implications of deploying AI responsibly
  • Natural Language Processing — Apply AI to analyze text, understand human language, and extract meaning from unstructured data
  • Robotic Process Automation — See how intelligent automation is transforming business analysis, marketing, and logistics
  • Capstone Project — Develop an AI solution to a real business problem in your domain, demonstrating real-world value

What Makes ¶¶Òõ̽̽App Different?

Education Pioneer

¶¶Òõ̽̽App has provided education for more than 100 years.

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Tuition & Aid

30 Credit Hours

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$590/ Credit Hour

Financial aid is available in the form of grants, loans, scholarships, veterans’ benefits, and employer reimbursement.

Financial Aid Tuition & Fees Info

Applicable fees for resources and services will be assessed throughout the program. Tuition and fees for prerequisites and required elective courses are in addition to the charges shown on the program cost sheet. Your tuition rate will remain the same as long as you remain continuously enrolled in the same program. The estimated cost of attendance is available on the financial aid webpage. Cost sheets may be requested from an enrollment counselor by calling 866.498.4968 or emailing iwuenroll@indwes.edu.

What You'll Study

Coursework in this online data analytics degree covers how to:

  • Advance digital transformation, big data analytics, and AI project management
  • Apply AI and machine learning solutions to real-world challenges in operations, customer experience, and product innovation
  • Integrate data science and artificial intelligence degree-level skills into existing business systems
  • Communicate data insights clearly through data visualization analytics and actionable reporting
  • Stay ahead of emerging technologies through lifelong learning, AI research, and a professional network of experts
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According to the , job growth in data analytics and AI-related roles is projected to remain strong, offering promising employment trends for graduates of this business analytics degree online.

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Courses in this Program

These courses contain the program-specific knowledge. Upon completion, you should have the tools to conquer your new career with confidence. For a full list of courses and prerequisites required to complete your degree, please visit the course catalog. Click on a course below to view the description.

DTAN-500,AIML-500,AIML-501,AIML-505,AIML-510,AIML-515,DTAN-505,DTAN-515,DTAN-520,DTAN-525

After Graduation

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Potential Careers

  • AI Product Manager
  • AI Solutions Architect
  • AI Strategy Consultant
  • AI Talent Manger
  • Business Intelligence Analyst
  • Data Analytics Leader
  • Marketing AI Specialist

Work in Various Industries

  • Marketing
  • Supply Chain Operations
  • Computer Information Systems
  • Finance

Program FAQs

Dr. Clark Cully brings senior-level experience as former Chief Data Officer for the U.S. Department of Defense, with expertise in artificial intelligence strategy, data governance, and national security technology. Dr. Nicole Kosoris, a Ph.D. graduate from Georgia Tech, specializes in machine learning, extended reality, and human-computer interaction, with research published in leading IEEE and ACM venues. Dr. Lawrence Iweriebor contributes extensive experience in applied AI and data science, helping students translate complex AI concepts into practical business applications. Together, these faculty members combine deep technical expertise with real-world application.
This program emphasizes applied AI and real-world analytics. Students work with machine learning models, large language models, and advanced data analytics tools to solve business problems. The capstone project allows students to design and implement an AI-driven solution within a real organizational context.
Graduates are prepared for roles such as data analyst, business intelligence analyst, marketing analyst, operations analyst, analytics manager, and AI solutions developer. The program equips professionals to lead AI-driven analytics initiatives and support data-informed decision-making across industries.
Key courses include Machine Learning Fundamentals, which introduces core AI concepts; Large Language Models and Generative Artificial Intelligence, which focuses on modern AI tools; and Artificial Intelligence Integration Capstone, where students apply their learning to a real-world challenge.
Graduates typically advance into AI-enhanced analytics roles, pursue certifications, or move into leadership positions focused on data and AI strategy.
This program is designed for working professionals and does not require a computer science background. It focuses on applying AI tools to business problems rather than deep programming.
The program is offered online and in hybrid formats. Online students can complete the program without any required in-person residencies.
Online courses typically last six weeks, while hybrid courses are eight weeks in length.
Students typically take one course at a time, allowing for focused learning and flexibility.
Students progress independently rather than as part of a fixed cohort.
Yes. Students collaborate through discussion forums, group projects, and optional live sessions.
Coursework is delivered primarily in an asynchronous format, with optional synchronous sessions.
Students should expect to dedicate approximately 12 to 15 hours per week.
Students follow structured course schedules, but the asynchronous format provides flexibility.
Most students complete the program in approximately 15 to 20 months.
Start dates are offered approximately every two months.
After enrollment, students are connected with an advisor, complete orientation, and begin coursework according to their start date.
Students have access to academic advising, tutoring, career services, and technical support.
Yes. Students receive faculty mentorship and gain professional development through applied projects and capstone work.
Transfer credits may be evaluated on a case-by-case basis, depending on prior graduate coursework.
Yes. Students complete a capstone project in which they design and implement an AI solution addressing a real-world business or analytics challenge.
This program is designed for non-programmers, emphasizes real-world application of AI, integrates ethical and faith-based perspectives, and focuses on business-driven analytics rather than purely technical theory.
Students who are analytical, curious about AI, and interested in applying data-driven insights within their organizations tend to thrive.
Students benefit from a collaborative online environment and gain practical experience through real-world projects.
Yes. Christian faith is integrated throughout the program through discussions, assignments, and ethical considerations related to AI.
Students use leading generative AI tools, pre-trained models, and commercially available platforms to solve real-world business problems and develop AI-driven solutions.
This program focuses on applied artificial intelligence in business contexts rather than purely technical or theoretical computer science, emphasizing practical implementation and decision-making.
Yes. Students work on real-world scenarios and projects that involve applying AI tools to business challenges, building a portfolio of practical work.
Yes. The curriculum equips students to work alongside data scientists and engineers by understanding AI tools, workflows, and business applications.
Ethical AI practices are integrated throughout the program, including responsible AI frameworks and biblical principles to guide ethical decision-making in technology.

Program Requirements

  • A baccalaureate or graduate degree from a college or university that is accredited by an accrediting agency recognized by both the U.S. Department of Education (ED) and the Council for Higher Education Accreditation (CHEA) verified on original transcripts sent by the institution directly to ¶¶Òõ̽̽App.
  • An undergraduate grade point average (GPA) of 2.5 or higher from the baccalaureate degree granting institution at which at least a minimum of 30 hours was completed. If an applicant's GPA is below 2.5, the student may be admitted on a probationary basis, as established by the guidelines of the DeVoe School of Business.
  • Available for International Students through normal ISP admissions.
  • ISP hybrid deliveries are required and handled by Advising.
  • All credits required in the curriculum sequence with a minimum GPA of 3.0 and a minimum grade of “C” in each course. A grade of “C-“ or below will require the course to be repeated.
  • Overall GPA of 3.0 in all ¶¶Òõ̽̽App graduate work.
  • Payment of all tuition and fees is required to receive a diploma.

Accreditation

  • All credits required in the curriculum sequence with a minimum GPA of 3.0 and a minimum grade of “C” in each course. A grade of “C-“ or below will require the course to be repeated.
  • Overall GPA of 3.0 in all ¶¶Òõ̽̽App graduate work.
  • Payment of all tuition and fees is required to receive a diploma.

Take the Next Step

Whether your background is in business, engineering, information science, or another field entirely, ¶¶Òõ̽̽App's data analytics degree online gives you the tools, the ethics, and the expertise to thrive in an AI-powered workplace. Apply today and become a catalyst for data-driven transformation.

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