Online Bachelor’s Degree Specialization in Big Data and Analytics.

Start Making Big Moves in Big Data.

Combine your love of software and problem solving, and earn an online Bachelor’s Degree with a Specialization in Big Data and Analytics from DeVry University. You’ll develop skills that address the complexity of examining large and varied data sets, and that you can put to work uncovering hidden patterns in information. Our Big Data and Analytics Specialization is anchored with Tech Core, which is our strategically designed curriculum to help you build the interdisciplinary skills you’ll need for today’s Internet of Things (IoT) economy. Learn online or in our hybrid format, whichever fits your schedule best.

Get to Know Our Big Data and Analytics Degree Specialization.

Classes Start Every 8 Weeks

Earn your Bachelor's Degree in Software Development with Big Data and Analytics Specialization in as little as 2 years + 8 months*—or even more quickly with qualifying transfer credits.

*Not including breaks. Assumes year-round, full-time enrollment.



Why DeVry?


As a new student, you’ll get a complimentary laptop as part of your technology program1. It’s our way of investing in your education—and you.

It’s portable so you can take it anywhere, powerful enough to run robust applications, and best of all, you can use it for all your classes to optimize your DeVry experience.


Simulate the Internet of Things (IoT) wherever you are with your Portable IoT Kit*, designed to give you hands-on experience and confidence working with real IoT technologies.

With the full complement of microprocessors and sensors in your kit, you’ll build elementary IoT devices, integrate them into cloud-based server systems and develop skills needed for today’s IoT economy.

*The Portable IoT Kit is a required expense and is not complimentary.


Our Tech programs are designed with industry-recognized certifications in mind. Qualified students may receive up to a $300 reimbursement for the cost of one exam attempt across a wide range of certifications:

  • CompTIA A+
  • CompTIA Linux+
  • CompTIA Network+
  • CompTIA Cloud+
  • Microsoft Technology Associate - Python

Others may be applicable as well. Speak with your professor for more info.

What You'll Learn

The Big Data and Analytics Specialization covers the following:

  • Problem Solving
    Use business and management principles to problem-solve a variety of workplace challenges.
  • Programming
    Solve technical problems using an algorithmic approach, basic programming and coding methods.
  • Data Mining
    Explore traditional methods to interface with data. Learn to mine and analyze extremely large data sets and conduct sentiment analysis utilizing cloud-based computing, machine learning tools, data crawling, and data scraping techniques to interpret results and communicate predictions.
  • Digital Devices
    Explore digital concepts, devices and connectivity within the realm of the Internet of Things (IoT). Topics include networking, securing, and deploying digital devices.
  • Small Enterprise Networks
    Produce, secure, operate and troubleshoot small enterprise networks by gaining an understanding of the underlying technology of networks and the Internet. Learn networking basics such as the OSI and TCP/IP models, protocols, routers, switches, small network configuration, troubleshooting, and network security.
  • Operating Systems
    Learn to install and configure operating systems using Command Line Interface (CLI). Gain command-line-interface (CLI) knowledge and configure local and wide area networks with routers.
  • Application Development
    Develop applications based on analysis, interface design, programming skills, coding and scripting, as well as database connectivity.
  • Collaboration
    Work collaboratively in a team environment. Coordinate and share information to achieve a common goal.
  • Advanced Data Analysis
    Use advanced techniques to analyze data by mining extremely large data sets and conducting sentiment analysis utilizing cloud-based computing, machine learning tools, data crawling, and data scraping techniques. Learn to interpret results and communicate predictions.
  • Database Management
    Learn a variety of database management concepts, including internal and cloud-based information retrieval and storage, capacity planning, database management system (DBMS) architecture, performance tuning, backup, recovery and disaster planning, archiving, reorganization and defragmentation.
  • Data Analysis
    Learn to draw conclusions by finding patterns and relationships in numerical data with tools used for statistical analysis and decision-making in business.
  • Analysis and Design
    Analyze and design software systems.
  • Data Acquisitions
    Learn to acquire, retrieve and store data while exploring database programming with respect to traditional enterprise scenarios, as well as the cloud-based environment.
  • Digital Literacy
    Learn to apply and utilize appropriate digital technologies for data and information acquisition, storage, retrieval, analysis, interpretation and communication.
  • Communication
    Communicate effectively orally and in writing across environments and platforms.

Embedded Programs - Demonstrate Skills at Every Step

Looking to obtain two additional credentials with our Software Development degree with a specialization in Big Data? Our unique 3-in-1 design allows all courses in our Programming Essentials certificate program and Information Technology and Networking associate degree are included within this program. So you can earn a certificate and an associate degree on the way to your bachelor's degree.

Career Opportunities

Graduates of our Big Data and Analytics Specialization may consider, careers such as:

  • Data Analyst

  • Database Developer

  • Data Modeler

  • Data Scientist

  • Business Intelligence Analyst

  • Database Manager

  • Data Architect

  • Data Warehouse Manager

  • Big Data Engineer

  • Database Administrator

Essentials Courses

Communication Skills

ENGL1122 Composition
ENGL135 Advanced Composition
ENGL216 Technical Writing
SPCH275 Public Speaking


ETHC232 Ethical and Legal Issues in the Professions
LAS432 Technology, Society, and Culture

Social Sciences

ECON312 Principles of Economics
SOCS185 Culture and Society
SOCS3254 Environmental Sociology

Mathematics and Natural Sciences

MATH114 Algebra for College Students
MATH221 Statistics for Decision-Making
MATH233 Discrete Mathematics
PHYS204 Applied Physics with Lab

Personal and Professional Development

CARD405 Career Development
COLL148 Critical Thinking and Problem-Solving

Tech Core Courses

Tech Core

CEIS101 Introduction to Technology and Information Systems
CEIS106 Introduction to Operating Systems
CEIS110 Introduction to Programming
CEIS114 Introduction to Digital Devices
NETW191 Fundamentals of Information Technology and Networking
NETW211 Fundamentals of Cloud Computing
SEC285 Fundamentals of Information Security

Program Courses

Information Systems and Programming

CEIS236 Database Systems and Programming Fundamentals
CEIS312 Introduction to Artificial Intelligence and Machine Learning
CIS170C Programming with Lab
CIS247C Object-Oriented Programming with Lab

Application Development

CEIS295 Data Structures and Algorithms
CIS321 Structured Analysis and Design
CIS339 Object-Oriented Analysis and Design
CIS355A Business Application Programming with Lab
WEB375 Web Architecture with Lab

Senior Project

CEIS392 Product, Project, and People Management
CEIS494 Senior Project I
CEIS496 Senior Project II

Technology Career Preparation

CEIS299 Careers and Technology
CEIS499 Preparation for the Profession

Specialized Courses

Big Data and Analytics

CEIS330 Strategies for Data Acquisition, Storage and Retrieval
CEIS340 Database Management
CEIS480 Data Mining and Analytics
CEIS485 Data Interpretation and Statistical Analysis

Academic Catalog

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Program Overview

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Academic Catalog

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Program Overview

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Related Programs

All students enrolled in site-based programs will be required to take some coursework online and, for some programs and locations, a substantial portion of the program may be required to be completed online.