- Prospective Graduate Students
- Current Graduate Students
- GRA/GTA/GA Funding
- Forms, Applications, and Deadlines
- Summer Graduate Research Fellowship
- Current Fellows
- Graduate Student Leadership Development Program
- Thesis and Dissertation Information
- Thesis and Dissertation Boot Camp
- Technical Editing Services
- Stipend X
- Frequently Asked Questions
- Graduate Programs
- Faculty & Staff Resources
- Services That We Offer
- Student Organizations
- About Our Office
Significant data growth leads to challenges in efficiently and securely sharing, accessing, and analyzing big data. Proficiency in big data management and security requires knowledge in interdisciplinary areas including computer science, business information technology, mathematics and STATistics, and electrical and computer engineering. Currently many colleges and universities worldwide are establishing programs in big data analytics. Missouri S&T faculty have the expertise to provide a unique specialized graduate certificate program to teach practicing computing professionals and graduate students the skills that are necessary for the use and development of big data securely and efficiently.
The graduate certificate program is open to all individuals holding a BS degree in computer science, engineering, or a scientific discipline, and who have a minimum of two years of professional experience, or are currently accepted into a graduate degree program at Missouri S&T. The only additional requirement for students entering a graduate certificate program is that they satisfy the prerequisites for any course they take in the program.
The certificate program consists of four courses chosen from three areas. In order to receive a graduate certificate, the student must have an average graduate cumulative grade point average of 3.0 or better in the certificate courses taken.
Students admitted to the certificate program will have non-degree graduate status, but will earn graduate credit for the courses they complete. If the four course sequence approved by the graduate advisor is completed with a grade of B or better in each of the courses taken, the student will upon application be admitted to the MS program in computer science as long as they have a BS in computer science, electrical engineering, or computer engineering, and as long as they meet the minimum undergraduate GPA requirements and core computer science course requirements. All computer science certificate courses and up to one non-computer science certificate course taken by the students admitted to the program will count towards their computer science MS degree. Once admitted to the program, a student will be given three years to complete the program as long as a B average is maintained in the courses taken.
The big data management and security certificate program consists of four courses. Students will be responsible for prerequisite knowledge as determined by course instructors and listed in the Graduate Catalog. With the approval of the department, appropriate courses may be substituted for a certificate course if that course is not available.
Choose one of the following:
- COMP SCI 6304: Cloud Computing and Big Data Management
- IST 5420: Business Analytics and Data Science
choose one of the following:
- COMP SCI 5402: Data Mining & Machine Learning
- COMP SCI 6301: Web Data Management and XML
- COMP SCI 6302: Heterogeneous and Mobile Databases
- COMP ENG 6330: Clustering Algorithms (Co-listed with ELEC ENG 6340, SYS ENG 6214, COMP SCI 6405 and STAT 6239)
- STAT 5814: Applied Time Series Analysis
choose two of the following:
- COMP SCI 6601: Privacy Preserving Data Integration and Analysis
- COMP SCI 6600: Computer Security
- COMP SCI 6605: Advanced Network Security
*There is overlap between the course offerings for this graduate certificate and the big data and management and analytics certificate. No course can be used to satisfy the requirements for more than one certificate.
Course description can be found in the catalog at catalog.mst.edu/graduate.
Graduate certificates were designed as a gateway to a master’s degree. If a student earns a B or better in each certificate course they may continue for the graduate degree (in the corresponding department), without needing to submit GRE/GMAT scores, or letters of recommendation. A student does not need to continue on for the graduate degree, however most do. Graduate certificates were designed for working professionals who have real life work experience and may not have time to take the GRE/GMAT. Admission requirements for the graduate certificate program are also more relaxed than the graduate degree. This graduate certificate may act as a gateway to the following master’s programs:
Computer Science (MS)
(Applicants must indicate which program they wish to use the certificate as a gateway for when initially applying for the certificate).