Graduate-Level Certificate in Big and Smart Data

photo of a student using a laptopThe Department of Computer Science and Engineering offers a program of graduate study leading to the Education Certificate in Big and Smart Data. This unique certificate will equip business professionals with the technical foundation needed to manage and analyze Big Data and to create Smart Data enabled applications for enterprises and individuals.

There is an unprecedented growth in data collected by all types of organizations, for various scientific, medical, financial, and other purposes, as a result of activities in our interconnected world including our social activities on the web, by using sensors and other high throughput devices on or around individuals and around the globe, and so on. This has given rise to Big Data, characterized by 5Vs (Volume, Velocity, Variety, Veracity and Value). Big and Smart Data Sciences is about intelligent processing of Big Data for improved insights and decision making for enterprises and individuals, and it is about creative approaches, methodologies and techniques that span data acquisition to analysis and applications.



A Bachelor of Science in Computer Science, Computer Engineering, Information Sciences or comparable technical degree from an ABET accredited institution of higher education with a minimum GPA 3.0 and a minimum combined GRE score of 298.

How to Apply

Graduate students should apply for admission through Wright State's Graduate School. Submit your application as a non-degree graduate student.

If you have any questions, send an email to Wendy Chetcuti, Assistant to the Chair, Department of Computer Science and Engineering at and she will provide you with instructions for registering.

Course Requirements

Students must complete a total of six courses (18 credit hours). The Computer Science and Engineering courses are:

  • CEG 7380 Cloud Computing
  • CS 7700 Advanced Database Systems
  • CS 7900 Web 3.0
  • CS 7810 Knowledge Representation
  • CS 7820 Semantic Web
  • CS 7740 Diverse Data Analytics
  • CS 7800 Information Retrieval
  • CS 7830 Applied Machine Learning
  • CS 7720 Data Mining
  • CEG 6520 Scientific Visualization
  • CS/CEG 7920 Independent Studies to carry out a project