Overview | Curriculum | Careers
The digital age is here to stay. Organizations now own and have access to unfathomable amounts of data. New technologies and efforts are needed to move on to the next phase of the digital revolution – the data revolution. To provide students with the knowledge necessary in this age of Big Data, the Department of Computer and Electrical Engineering and Computer Science (CEECS) and the Department of Information Technology and Operations Management (ITOM) have jointly designed the Big Data Analytics graduate certificate.
This 12-credit certificate allows graduate students to expand their knowledge and skills in the concepts, technologies, and tools of business intelligence, data analytics and business analytics and be recognized for their achievement. The certificate program has two tracks: Computer Science (CS) and Business (BU).
CS Track: The Big Data Analytics certificate with a track in Computer Science will be granted to a student who completes three 3-credit courses from the CS Data Analytics course list and one 3-credit course from the ITOM Business Analytics course list.
BU Track: The Big Data Analytics certificate with a track in Business will be granted to a student who completes three 3-credit courses from the ITOM Business Analytics course list and one 3-credit course from the CS Data Analytics course list.
CS Track: Open to students who have a B.S. degree in Computer Science or in a related field of science or engineering and a GPA of at least 3.0. Students must satisfy the prerequisites for each course in the program. All four courses must be completed with a GPA of 3.0 or better. All course materials are in English; all international students must demonstrate proficiency in English to enter the program.
BU Track: Open to students who have a bachelor’s degree in Business or in a related field and a GPA of at least 3.0. Students must satisfy the prerequisites for each course in the program. All four courses must be completed with a GPA of 3.0 or better. All course materials are in English; all international students must demonstrate proficiency in English to enter the program.
Most of the courses listed below are available online; some of the online courses are offered in a “Videotaped” format in which live class lectures are recorded and posted online the same day in a video streaming format. Depending on the course, students may be required to take exams either on campus or at an approved testing center (additional charges may apply for remote testing centers).
Big Data Analytics Courses by Track
|Computer Science Data Analytics Courses|
|Introduction to Neural Networks||CAP 5615||3|
|Social Networks and Big Data Analytics||CAP 6315||3|
|Data Mining for Bioinformatics||CAP 6546||3|
|Data Mining and Machine Learning||CAP 6673||3|
|Information Retrieval||CAP 6776||3|
|Web Mining||CAP 6777||3|
|Advanced Data Mining and Machine Learning||CAP 6778||3|
|Big Data Analytics with Hadoop||CAP 6780||3|
|Computer Performance Modeling||CAP 6405||3|
|Deep Learning||CAP 6619||3|
|Natural Language Processing||CAP 6640||3|
|ITOM Business Analytics Courses|
|Data Mining and Predictive Analytics||ISM 6136||3|
|Introduction to Business Analytics and Big Data||ISM 6404||3|
|Advanced Business Analytics||ISM 6405||3|
|Social Media and Web Analytics||ISM 6555||3|
|Data Analysis for Managers||QMB 6603||3|
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|* cost per credit and total cost are calculated using tuition per credit and associated fees for the current academic year. It does not include course materials, textbook expenses, and other potential expenses related to individual courses. See academic calendar for our quarter term schedule.|
|More Information About this Program|
|Contact email address: email@example.com Visit this department’s home page for more information about the Computer Science track.|
|Visit this department’s home page for more information about the Business track.|
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