Big and Smart Data Sciences
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 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). 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 Computer Science & Engineering 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.
Did you know?
- “In tech jobs market, data analysis is tops” - USA Today, Oct 5, 2012
- “Big Data could generate millions of new jobs” - CNN Money, May 21, 2013
- “Data Scientist: The Sexiest Job of the 21st Century” - Harvard Business Review, Oct 2012
- “The number of job postings for data scientist positions increased by 15,000% between the summers of 2011 and 2012.” Indeed.com
Students must meet the modified MS Admissions requirements as follows:
- A B.S. degree in Computer Science or Computer Engineering or Information Sciences
- Minimum GPA 3.0
- Minimum combined GRE 298
- 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
- is a non-degree graduate student who has accumulated 9 or more hours of CS/CEG graduate courses and has minimum GPA 3.3, or
- has 3 or more years work experience in software development/analysis.
|Select 6 courses from the following||Hours|
|CEG 7380 Cloud Computing||3|
|CS 7700 Advanced Database Systems||3|
|CS 7900 Web 3.0||3|
|CS 7810 Knowledge Representation||3|
|CS 7820 Semantic Web||3|
|CS 7740 Diverse Data Analytics||3|
|CS 7800 Information Retrieval||3|
|CS 7830 Applied Machine Learning||3|
|CS 7720 Data Mining||3|
|CEG 6520 Scientific Visualization||3|
|CS/CEG 7920 Independent Studies to carry out a project.||3|
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.