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Undergraduate Certificates

Help Businesses Analyze Information - Data Mining & Analytics

Online Undergraduate Certificate in Data Mining and Analytics

Data mining, analytics and predictive models are critical when businesses depend on technology and automation to perform business services. Technology for automated merchandising, smart technology-assisted personalization and dynamic pricing is constantly evolving. Today, using data in decision-making is an essential skill in the workplace.

Our 100% online certificate program in data mining and analytics can help prepare you with the skills you need to build, verify and test data models to make sound business decisions.

No prior experience in data mining and analytics is required for this program. Through this curriculum, you’ll have the opportunity to immerse yourself in the Internet of Things (IoT) world and obtain hands-on experience with IoT, cloud computing and security technologies and systems.

Elements of our curriculum can also help you prepare to pursue industry certifications like:

  • CompTIA Linux+:

    This industry certification demonstrates your ability to work within the Linux operating system. A favorite of programmers and tech professionals, variations of the Linux OS are used for countless PCs and devices. Understanding this operating system is crucial in the data mining profession.

  • CompTIA IT Fundamentals:

    The IT Fundamentals certification verifies your comprehension of information technology basics. This entry-level certification is highly valuable for anyone in the IT field. It tests you on a broad spectrum of IT topics and concepts, showing your capability in all areas of the practice.

Classes Start Every 8 Weeks
Quick Facts
How long is the data mining and analytics certificate program?
  • 14 courses

  • 43 minimum credit hours

Minimum Completion Time*
1 year
4 months
Normal Completion Time
2 years


Choose the schedule that best fits your goals and commitments. You can earn your Undergraduate Certificate in as few as 1 year 4 months*.

Or, follow a normal schedule and complete your program in 2 years.**

*Per 12-month period, assumes completion of 3 semesters, enrollment in 8-13 credit hours per semester and continuous, full-time year-round enrollment with no breaks.
**Per 12-month period, assumes completion of 2 semesters and full-time enrollment in 8-13 credit hours per semester.

Knowledge & Skills

Online Undergraduate Certificate in Data Mining and Analytics – What You Can Learn

This program will help you develop the essential skills needed to find your place in data mining and analytics.

At DeVry, our Data Mining and Analytics Certificate covers the following:

Data Acquisition and Analysis

Acquire, retrieve and store data. Learn to draw conclusions by finding patterns and relationships in numerical data with tools used for statistical analysis. This topic combines a love of technology with critical thinking and analytical skills..

Data Mining

Explore traditional methods to interface with data. Learn to mine and analyze data sets to interpret results and communicate predictions utilizing cloud-based computing, machine learning tools and more.

Coding and Programming

Explore the scripting and writing components of an application or program. Solve technical problems using an algorithmic approach, basic programming and coding methods.

Machine Learning

Teach systems to learn without being explicitly programmed. Learn how to develop software and devices that can make decisions based on the data they receive to improve revenues and customer satisfaction.

Operating Systems

Install and configure operating systems using Command Line Interface (CLI). This skill is essential for anyone who wants to work with networks or operating systems and is a great way to learn system basics.

AI and Data Foundations

Learn how to use AI to gather and analyze data to solve problems and support decision making.

Data Mining and Analytics Certificate Admissions Requirements

Students must place in MATH062 and ENGL062 or above. To begin program coursework, you must first complete transitional studies courses1, if applicable. Please see the catalog for complete admissions requirements.

Data Mining and Analytics Certificate and Financial Aid

We are striving to help make your data mining and analytics certificate more affordable. For example, during the 2020-2021 award year, DeVry University has assisted students by awarding  more than $57 Million in student financial assistance2 through partner tuition savings, institutional scholarships and university grants.

Embedded Programs

Build Skills With Stackable Degrees

Earn a Credential at Every Step

You don’t have to wait four years to show a credential on your resume. At DeVry, several programs are designed to stack.

With stackable degrees, you can start your education by pursuing a more affordable, less time-consuming credential, like an undergraduate certificate. Once you've earned your credential, you can search for a job and pursue the workforce. This is also a great option for those who are already employed, thanks to flexible online and on-site classes that let you build your professional skills right away.

Should you choose to continue your education, you can come back to DeVry, and all the credits earned during your undergraduate certificate program will count towards an applicable associate or bachelor’s degree.3

How Do Credentials Stack?

Here’s an example: The Data Mining and Analytics Certificate can serve as a steppingstone to our Software Development Bachelor’s Degree when you specialize in Big Data and Analytics. If you choose to continue on with your education at DeVry, all credits apply to your bachelor’s degree.

Credit Hours Remaining
Credit Hours

Job Opportunities in the Data Mining and Analytics Field


Graduates of our online Data Mining and Analytics Certificate program may consider, but are not limited to, opportunities in positions such as:
  • Software Application Developer

    Also known as an application developer, a software application developer is responsible for developing and modifying source code for software applications. Data mining professionals with a strong understanding of programming languages can leverage their data analysis skills to create software that gathers and uses data intuitively.

  • Software Programmer and Analyst

    This role is responsible for developing and testing custom scripts and applications, creating software patches, testing applications and performing routine maintenance and updates on systems. A data analytics background can be useful in instances where you need to discern an issue with software using gathered data.

  • Software Developer Data Analyst

    A software developer data analyst creates new software from the initial concept, often to meet a specific need for a business or company. The additional responsibility of performing ongoing data analysis once a system is built differentiates the role from standard developer roles. They often need to analyze data in order to see what could be improved from the initial concept.

  • Data Analyst

    A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.

  • Data Systems Developer

    A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.

  • Data Modeler

    A data analyst uses data to help solve business problems, such as how to optimize profits, minimize turnover and streamline logistic processes. They also use analytical skills to create presentations and consult other business teams on how to make decisions that are backed up by evidence.

  • Data Miner

    A data mining specialist finds hidden information (such as patterns or irregularities) by exploring and sorting vast stores of data and understanding how it relates to – or helps – a business.


Program Courses

Data Mining and Analytics Courses

Algebra for College Students
Data-Driven Decision-Making
Tech Core
Introduction to Technology and Information Systems
Introduction to Operating Systems
Introduction to Programming
Coding and Programming
Programming Objects
Database Systems and Programming Fundamentals
AI-Driven Business Application Coding
Data and Analysis
Managerial Applications of Business Analytics
Database Management
Data Mining and Analytics
Data Interpretation and Statistical Analysis
Career Preparation
Introduction to Technical Project Management
Preparation for the Profession

Data Mining and Analytics FAQs

What is the difference between data analytics and data mining?

Data mining does incorporate some of the practices used in data analytics, but is more interested in discovering and isolating patterns within data. A data analyst then uses that uncovered data and the discovered patterns to test hypotheses by constructing models.

Why should I start a career in data analytics?

Big data can help companies run more efficiently, regardless of the field by improving the customer experience and assisting businesses in making decisions that boost productivity. As technology systems become more complex and gathering data becomes easier, more and more types of employers will need data analysts and miners. Because data serves a purpose in every industry, those who are proficient in data analytics may be able to work in fields as diverse as defense, business and healthcare. Adding to those benefits, an understanding of data and analytics is useful in day-to-day scenarios. With a solid understanding of these concepts, you can better scrutinize the information you receive in order to determine its veracity and trustworthiness. These skills are essential to maintain digital literacy and media literacy in the modern age.

What is data mining?

Data mining is the process of looking for patterns or abnormalities in large data sets to predict outcomes. While the word ‘mining’ may make it sound like digging for new information, it is actually the process of reviewing existing data to understand what the data is saying.

How does data mining work?

Data mining means sorting through large amounts of information to find trends or patterns. Many companies will have goals and needs that they are looking to address, and data may hold the solutions.

What is data mining used for? What are the benefits?

Data mining helps businesses manage stock, upsell and cross sell products and increase revenue. For example, supermarkets gather data via their loyalty programs and data mining helps them make business decisions. These can include predicting the items they should be keeping in stock or recognizing local families have small children and offering coupons for formula or diapers. In e-commerce, you are probably familiar with websites that offer up suggestions for “Items other people have viewed” or “Items that may interest you” while you’re shopping. These are all results of data mining being used to determine other items you might want based on what you already bought. Data mining is also useful for making ad-campaign decisions and can influence product development as well.

How do you acquire the skills needed for data mining?

Our data mining and analytics certificate at DeVry can help prepare you for a career by teaching you the necessary skills and providing the hands-on experience you will need to pursue various entry-level roles. If you choose to continue your education, qualifying credits from your certificate program can be applied to our Software Development bachelor’s degree program when you specialize in Big Data and Analytics.

How long does it take to learn data mining?

To earn a data mining and analytics certificate at DeVry, you will complete 14 courses totaling a minimum of 43 credit hours. This includes classes like managerial applications of business analytics and database management. Your certificate can be completed in as little as one year and four months – or even more quickly with qualifying transfer credits.1

What is data analytics?

Data analytics is the science of reading data. Data analysis involves inspecting, cleaning, transforming and modeling data in the hopes of discovering new useful information that can inform and support decision-making. Often, the results from data analysis are used to guide high-value business decisions.

Is data analytics a good career?

Data analytics can be an excellent career option if you like analyzing information, identifying patterns and determining how your findings can be used to benefit organizations and their bottom line. It’s a field that is constantly evolving thanks to the nearly unlimited amount of data that is collected through various technologies every day.

Graduates of DeVry’s data analytics certificate program may consider, but are not limited to, the following careers:

  • Data Analyst

  • Data Modeler

  • Data Miner

  • Software Developer Data Analyst

  • Data Systems Developer

Academic Catalog
2023-2024 Academic Catalog
Program Guides
Program Overview

1Transitional studies coursework may affect program length and cost.
2Data is inclusive of all partner tuition savings, institutional scholarships and grants for the period for July 1, 2020 to June 30, 2021.
3The figures displayed represent the minimum credit hours required for graduation. At 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.
**The figures displayed represent the minimum credit hours required for graduation. Additional coursework may be necessary to complete program requirements.