Big Data and Analytics Specialization

Big Data and Analytics Degree Specialization

Interested in a career in software development and helping business and society tackle problems requiring analysis of large volumes of data? Then this specialization may be a good fit for you. In our Big Data and Analytics specialization, you’ll develop big data and analytic software development skills that address the complexity of examining large and varied data sets as well as uncover hidden patterns in information. You’ll understand how predictive analytic measures and machine learning tools are applied to help drive quick decision-making in industry.


Classes Start


Program Available


Program Cost

$497/Credit Hour

Program Coursework

This program is anchored with Tech Core, strategically designed curriculum to help you build a foundation of interdisciplinary skills you’ll need for today’s Internet of Things (IoT) economy. When you specialize your Software Development degree in Big Data and Analytics, your coursework at DeVry University may include these courses:

Strategies for Data Acquisition, Storage and Retrieval

Database Management

Data Mining and Analytics

Data Interpretation and Statistical Analysis

Strategies for Data Acquisition, Storage and Retrieval

Database programming is explored with respect to traditional enterprise scenarios, as well as the cloud-based environment. The implications of efficient and effective transaction processing, including error handling, data validation, security, stored procedures and triggers, record locking, commit and rollback are covered. Data mining and warehousing are also introduced. A relational database management system (RDBMS) is leveraged in class projects and exercises.

Database Management

Students are introduced to 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 Mining and Analytics

Students in this course explore traditional methods, such as dynamic structured query language (SQL), complex queries, data warehousing, reporting, analysis, performance tuning, and data security practices as applied to routine data sets. In addition, students mine and analyze extremely large data sets and conduct sentiment analysis utilizing cloud-based computing, machine learning tools, data crawling, and data scraping techniques. Students also interpret results and communicate predictions.

Data Interpretation and Statistical Analysis

Statistical analysis and data driven-decision making in completing projects are explored. Students apply statistical software packages and tools to mined data sets in applied analytics projects requiring a solution to business and scientific problems. In addition, students learn how to use data to perform predictive analytics. Results are evaluated and recommendations proposed. 

1 As part of this program, one complimentary laptop is provided to students enrolled in the Associate of Information Technology and Networking, Bachelor’s of Information Technology and Networking, Bachelor’s of Software Development, Bachelor’s of Electronics Engineering Technology/Engineering Technology – Electronics and Bachelor’s of Computer Information Systems. The laptop is issued during the student’s second session. Certain restrictions apply.

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.