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Undergraduate Certificate in AI and Data Analytics

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Turn data into decisions with an analytics and AI program

Data is everywhere — and AI is transforming how we interpret it. In our Undergraduate Certificate in AI and Data Analytics program here at DeVry University, you’ll learn to uncover patterns, translate statistics into strategy, and leverage AI-powered tools to analyze, predict, and solve real business challenges.

Whether you’re looking to upskill in your career, transition to a new role, or build a foundation for a future degree, your education in AI and data analytics starts here:

  • Innovate with applied AI study in our unique 3-course AI foundations curriculum — you’ll gain hands-on experience with industry tools like Google AI and many more to build skills and strategies for tomorrow’s tech jobs.

  • Immerse yourself in the tools of the trade, such as NoSQL, Power BI, SQL, and Tableau, plus get hands-on experience with data acquisition, storage, management, interpretation, and analysis.

  • Prepare for industry certification with a curriculum aligned with industry-recognized credentials like CertNexus Certified AI Practitioner (CAIP) and CompTIA DataSys+.

  • Earn job-relevant skills on the way to a degree — after earning your certificate, you can apply your eligible credits to a Bachelor's in Software Development with an AI and Data Analytics Specialization.1

Classes Start Every 8 Weeks

Join the cutting edge of AI and data analytics. Contact us to get started.

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  • 01 Curriculum
  • 02 Accreditation
  • 03 Careers
  • 04 Ways to save
  • 05 FAQs

AI and data analytics skills you’ll learn in our program

Our Undergraduate Certificate in AI and Data Analytics equips you with the ability to process large datasets, identify patterns, and interpret trends in support of business goals. Plus, you’ll learn to apply AI, predictive analytics, and machine learning to real-world challenges. 

AI, machine learning, and predictive analysis

Learn to use artificial intelligence to analyze data, explore machine learning techniques, and apply predictive analytics. As you train to become a future-focused AI innovator, you’ll also learn to integrate AI ethically into decision-making and build intelligent systems.

Data mining, retrieval, and organization

Gain hands-on experience retrieving, organizing, and manipulating data using a variety of data mining and analytics techniques and other analytical tools. Practice interpreting results and making predictions based on insights — vital business skills in today’s workplaces.

Data analysis and visualization

Acquire, retrieve, and store data, then test hypotheses, validate claims, and uncover patterns using statistical methods. Apply visualization techniques to clearly illustrate complex data, processes, and system interactions.

Coding and programming

Use scripting and coding to create algorithms and programs that retrieve, analyze, and sort data. Build fundamental tech skills to solve complex challenges as a well-rounded systems thinker.

Large language models

Discover how computers process human language through the study of large language models (LLMs) and natural language processing tools. Gain hands-on experience building applications that can interact with users through text, a crucial skill for everything from chatbots to virtual assistants.

AI and data analytics courses and credits

Classes

12

Credits

36

Semesters

32

Develop essential AI and data analytics skills in classes like:
SIS310
AI-Driven Business Application Coding
TECH112
AI in Industry
SIS350
AI, Machine Learning and Data Science
TECH110
Coding & Scripting
SEC302
Data Administration and Security
SIS340
Data Visualization and Presentation
SIS180
Introduction to Machine Learning and Artificial Intelligence
View program guide
Your program perks
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Career-aligned artificial intelligence study: Get hands-on experience with Azure AI, AWS AI, Google AutoML, and more to create a powerful blend of artificial intelligence and analytics knowledge that mirrors the tools and strategies used at today’s tech giants and next-gen startups.
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Tech certification preparation: Coursework in this program helps you prepare to pursue exams for industry-recognized certifications such as:

  • Certified Associate Python Programmer (PCAP™)
  • Certified Entry-Level Python Programmer (PCEP™)
  • CertNexus Certified AI Practitioner (CAIP)
  • CompTIA DataSys+
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Hands-on labs that simulate the real world: You’ll have 24/7 access to virtual exercises that simulate realistic AI and data analytics scenarios to build your skills and confidence with tools you’re likely to encounter on the job. 

Earn skills now while building toward a bachelor’s degree

Our Undergraduate Certificate in AI and Data Analytics equips you with skills and concepts you can put to use right away — while setting you up to earn a degree down the road. Qualifying credits in this program count toward our Bachelor's in Software Development with an AI and Data Analytics Specialization, so you can build job-relevant skills now, then apply qualifying credits toward your degree down the line.1

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DeVry Stackable Programs

Accreditation matters

Being accredited means we’ve met rigorous quality standards and are committed to giving you the education you deserve. DeVry University is accredited by the Higher Learning Commission (HLC), www.hlcommission.org. Our Keller Graduate School of Management is included in this accreditation.

Learn more about our
accreditations

AI and data analytics careers

Whether you’re excited about leveraging AI in analytics, using data to support organizational decision-making, developing software, or managing large datasets, here are some roles you can consider after earning your Undergraduate Certificate in AI and Data Analytics:

  • AI solutions specialist

  • Business intelligence analyst

  • Database administrator

  • Database developer

Ways to save

Discover options that can help make your education more affordable.

Scholarships and grants

DeVry University has a variety of scholarship and grant opportunities.3

Browse scholarships

Transfer credits

Your hard work matters: Learn how to transfer your qualifying credit hours.

Review transfer credits 

Employer reimbursement

Find out if your employer offers tuition savings or reimbursement.

Find your employer

Discover your future in AI and data analytics

Ready to use AI to turn data into impact? Take the first step.

Frequently asked questions

What are AI and data analytics?

AI and data analytics are closely connected fields that help businesses make sense of complex information. AI involves creating systems and algorithms that can perform tasks efficiently, such as recognizing patterns, making predictions, and learning from data.

Data analytics involves collecting, processing, and interpreting data to uncover meaningful insights and support decision-making. When combined, AI and data analytics can automate analysis, uncover trends quickly, and enable predictive modeling to inform business strategy.  

Why are AI and data analytics useful?

The insights and information gained from identifying patterns within data sets can lead to improved decision-making and business strategies. Here are some examples of how data analytics can be useful across various industries:

• Help businesses understand their target audience, identify trends, and tailor marketing campaigns
• Optimize resource allocation and automate tasks
• Assist in risk management by identifying unusual patterns and anomalies that may indicate fraudulent activity

What is the difference between data mining and data analytics?

Data analysis is a broader term, while data mining is a specific process that occurs as part of data analysis:

• Data mining focuses on uncovering hidden patterns and correlations in large data sets.
• Data analysis encompasses several processes, including examining data to gain insights, drawing conclusions, and supporting decision-making.

In our Undergraduate Certificate in AI and Data Analytics, you’ll learn the subtle differences between data mining and data analytics and how to use both to extract useful information from large datasets.

Is data analytics a good career?

Yes, for many people data analytics is a good career choice, especially those who enjoy finding patterns, solving puzzles, and working with technology. Some roles focus solely on data mining, while others, like software application developers and data analysts, may use data mining as part of a larger set of responsibilities.

Additionally, the U.S. Bureau of Labor Statistics projects employment of software developers to grow 15% nationwide from 2024 to 2034, which is much faster than the average for all occupations, although actual local growth may vary.  

What does an AI solutions specialist do?

AI solutions specialists are involved with the design, development, and deployment of artificial intelligence solutions that solve business problems for an organization. Key responsibilities include staying updated on AI tools and capabilities, collaborating with cross-functional teams, ensuring ethical AI and cybersecurity practices, and guiding the adoption of established solutions to maximize organizational impact and value. 

How do I apply to DeVry?

Applying is quick and easy: 

1. Talk to an admissions representative: Fill out a brief form, and we’ll reach out to walk you through the process.
2. Submit your application: We’ll take you through the application over the phone. If you prefer, you can apply online. It only takes 5-10 minutes.
3. Enroll in your first courses: Once you have applied and are accepted, we’ll help you build your schedule.  

Learn more about admissions.

1At the time of application to the next credential level, an evaluation of qualifying transfer credit will occur and the most beneficial outcome will be applied. Future programmatic changes could impact the application of credits to a future program at DeVry. Refer to the academic catalog for details.

2Minimum schedule does not include breaks and assumes 3 semesters of year-round, full-time enrollment in 12 credit hours a semester per 12-month period. Normal schedule does not include breaks and assumes 3 semesters of year-round, full-time enrollment in 12 credit hours a semester per 12-month period.

3Scholarships are available to those who apply and qualify. Click here for more information, including any requirements or restrictions. Students may participate in only one DeVry University-based scholarship, grant, or group tuition benefit program at a time. Those who qualify for more than one program will be presumed to accept the program with the highest reduction per session cost, unless the student confirms their desire to participate in a different program in writing prior to starting classes at DeVry. Scholarship and grant terms and eligibility conditions are subject to change.