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Oct 03, 2024
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2024-2025 Academic Catalog
Big and Smart Data Sciences Graduate Certificate
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Return to: Engineering and Computer Science, College of
Program Description
There is an unprecedented growth in data collected by all types of organizations for various scientific, medical, financial, and other purposes. This is a result of activities in an interconnected world. These activities include our social activities on the web by using sensors and other high throughput devices on or around individuals and around the globe. This has given rise to Big Data, characterized by 5Vs (volume, velocity, variety, veracity and value). Smart Data is about intelligent processing of Big Data for improved insights and decision-making for enterprises and individuals. Data sciences is about creative approach, methodologies, and techniques that span data acquisition to analysis and applications. This unique certificate in Big and Smart Data Sciences will equip a student in pursuing a highly sought after data scientist’s career in managing Big Data and helping create Smart Data-enabled applications for enterprises and individuals.
Admissions Requirements
Students must meet the modified M.S. admissions requirements as follows:
- B.S. degree in computer science, computer engineering, or information sciences
- Minimum GPA 3.0
- Minimum combined GRE 298
Exceptions
- A student with a B.S. degree in science or engineering will be conditionally admitted to the certificate program with the requirement to complete the core courses (CS-5100 Data Structures and Algorithms, and CEG-6350 OS Internals and Design).
- GRE requirement is waived for an applicant, if the applicant:
- Is a Wright State ECS graduate with minimum GPA 3.3; or
- Has a graduate degree in science or engineering from a U.S. institution of higher education; or
- Has three or more years of work experience in software development/analysis; or
- Is a non-degree graduate student who has accumulated 9 or more hours of CS/CEG graduate courses and has minimum GPA 3.3
For More Information
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Select 6 Courses from the Following
Total: 18 Hours
Note(s): If the MS student is doing a thesis that is in the areas covered by this certificate, the student may petition reduction in formal course work for 3 to 6 credits.
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Return to: Engineering and Computer Science, College of
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