Live Chat Now
Available
Give us a call

866.338.7934

877.913.8833
Send us a text

855.890.3001

855.890.3001

Undergraduate Certificate in Data Mining and Analytics

Continue

Turn numbers into insights with an undergraduate data analytics certificate

Finding patterns in data. Using statistical insights to drive business solutions. Converting numbers into strategic decisions. If you’re excited by these ideas, a career in data mining and analytics could be for you. In our Undergraduate Certificate in Data Mining and Analytics program here at DeVry University, you’ll learn to turn your knack for numbers, detail-oriented mind, and love of problem-solving into job-ready data and analytics skills.

Whether you’re looking to jumpstart your career, transition into a new role, or build an academic foundation for a future degree, your education in data mining and analytics starts here:

  • Immerse yourself in the tools of the trade with software like NoSQL, Power BI, Python, SQL, and Tableau.

  • Prepare for industry certification with curriculum aligned with industry-recognized certifications like CompTIA DataSys+.  

  • Get hands-on technical experience with the computational aspects of data mining, storage, and analysis.

  • Earn job-ready 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 a Big Data and Analytics Specialization.1

Classes Start Every 8 Weeks

Transform data into opportunity. Contact us to get started.

Data analytics skills you’ll learn in our program

From taking the first step toward a career in data mining to building the foundation for an advanced data-focused role, the skills you’ll learn in our Undergraduate Certificate in Data Mining and Analytics can help bring you closer to your goals.

Data mining

Get hands-on experience interfacing with data, mining, analyzing data sets, interpreting results, and communicating predictions based on insights.

Data acquisition and analysis

Learn to acquire, retrieve, and store data, then practice drawing conclusions by finding patterns in numerical data with tools used for statistical analysis.

AI and machine learning

Learn to use artificial intelligence to apply, gather, and analyze data and explore machine learning — the process of teaching systems to learn without being explicitly programmed.

Coding and programming

Use scripting and coding to create algorithms and programs that retrieve, analyze, and sort data.

Data mining courses and credits

Classes

14

Credits

43

Semesters

42

Develop essential data mining and analytic skills in classes like:
CIS313
AI-Driven Business Application Coding
CIS306
AI, Machine Learning and Data Science
SEC302
Data Administration and Security
CIS303
Data Visualization and Presentation
CEIS340
Database Management
CEIS236
Database Systems and Programming Fundamentals
Your program perks
#image

Curriculum aligned with certification exams: Coursework in this program is aligned with industry-recognized certification exams, so you can prepare to pursue additional credentials such as:

  • Certified Associate Python Programmer (PCAP)
  • Certified Entry-Level Python Programmer (PCEP)
  • Certnexus Certified AI Practitioner (CAIP)
  • CompTIA DataSys+
#image

Hands-on labs that simulate real-world scenarios: You’ll have 24/7 access to virtual exercises designed to simulate realistic data mining and analytic scenarios.

#image

Transferable technology skills: In our Tech Core classes, you’ll build a broad set of interdisciplinary skills that you can apply across many of today’s tech and IT roles.

Build skills you can use now while earning credits for the future

Our Undergraduate Certificate in Data Mining and 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.

This program stacks into our Bachelor’s in Software Development with a Big Data and Analytics Specialization, so you can build job-ready skills now and when you’re ready, you can apply qualifying credits toward a future degree.1

DeVry Stackable Programs
DeVry Stackable Programs

Accreditation matters

Being accredited means we meet 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

Data mining and analytics careers

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

  • Data analyst

  • Data miner

  • Data modeler

  • Data systems developer

  • Software application developer

  • Software developer data analyst

  • Software programmer and analyst

Ways to save

Discover options that can help make your education more affordable.

Scholarships and grants  

Save money with a variety of scholarship and grant opportunities.3

Transfer credits

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

Employer reimbursement

Find out if your employer offers tuition savings or reimbursement.

Military and veteran benefits 

Learn about savings for veterans, active-duty U.S. military members, and their spouses. 

Discover your future in data and analytics

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

Frequently asked questions

What is data mining?

Data mining is the process of sorting, searching, and analyzing large sets of raw data with the goal of identifying patterns, anomalies, and relationships that can be used to extract useful information.

Data mining uses various statistical, machine learning, and computational techniques to uncover valuable insights which can be used to make strategic organizational decisions.

Why is data mining 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 mining 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 Data Mining and Analytics, you’ll learn the subtle difference between data mining and data analytics, and how to use both to extract useful information from large datasets.

Is data mining a good career?

Yes, for many people, especially those who enjoy finding patterns, solving puzzles, and working with technology, data mining is a good career choice. Some roles focus solely on data mining, while others, like software application developers and software developer 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 17% nationwide from 2023 to 2033, which is much faster than the average for all occupations, although actual local growth may vary.

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 everything is submitted and verified, 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 8-13 credit hours a semester per 12-month period. Normal schedule does not include breaks and assumes 2 semesters of year-round, full-time enrollment in 8-13 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.