Program Description   |   Curriculum  |    Admission Requirements   |   Application Items
Gainful Employment Disclosure   |   Graduate Degrees

Graduate Certificate Program

Information Systems & Cloud Computing
Department of Computer Science

Program Description:
This certificate program is tailored to the working professional who wants to expand their knowledge of advanced data management technologies. Cloud computing, object-oriented database structure, data mining, and mobile database systems form the core of the study.

To earn the certificate, students must complete the following:

All three of the following courses:

  • COMP SCI 5402: Data Mining & Machine Learning
  • COMP SCI 6302: Heterogeneous and Mobile Databases
  • COMP SCI 6304: Cloud Computing and Big Data Management

And one of the following three courses:

  • COMP SCI 5300: Database Systems
  • COMP SCI 6402: Advanced Topics in Data Mining
  • COMP SCI 6601: Privacy Preserving Data Integration and Analysis


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COMP SCI 5402: Data Mining & Machine Learning
Classical and modern data mining and machine learning algorithms; data preprocessing/warehousing, mining association rules, classification/prediction methods, clustering techniques, Bayesian networks; unsupervised/supervised/reinforcement learning, learning decision trees, artificial neural networks, support vector machines, and ensemble learning. Prerequisites: A "C" or better in both Comp Sci 2300 and one of Stat 3111, Stat 3113, Stat 3115, Stat 3117. Field Trip

Comp Sci 6304: Cloud Computing and Big Data Management
Covers facets of cloud computing and big data management, including the study of the architecture of the cloud computing model with respect to virtualization, multitenancy, privacy, security, cloud data management and indexing, scheming and cost analysis; it also includes programming models such as Hadoop and MapReduce, crowd sourcing, and data provenance. Prerequisites: a “C” or better in both Comp Sci 5800 and either 5300 or Comp Sci 5001- Introduction to Data Mining

Comp Sci 6302: Heterogeneous and Mobile Databases
This course extensively discusses multidatabase systems (MDBS) and mobile data access systems (MDAS), moreover it will study traditional distributed database issues within the framework of MDBSs and MDASs.

Students choose one of the following:

Comp Sci 5300: Database Systems
This course introduces the advanced database concepts of normalization and functional dependencies, transaction models, concurrency and locking, time stamping, serializability, recovery techniques, and query planning and optimization. Students will participate in programming projects. The course assumes students have an introductory course in database systems. Prerequisite: A "C" or better grade in both Comp Sci 1200 and Comp Sci 2300.

Comp Sci 6402: Advanced Topics in Data Mining
Advanced topics of current interest in the field of data mining. This course involves reading seminal and state-of-the-art papers as well as conducting topical research projects including design, implementation, experimentation, analysis, and written and oral reporting components. Prerequisite: A "C" or better grade in Comp Sci 5001 Introduction to Data Mining.

Comp Sci 6601: Privacy Preserving Data Integration and Analysis
This course covers basic tools, in statistics and cryptography, commonly used to design privacy-preserving and secure protocols in a distributed environment as well as recent advances in the field of privacy-preserving data analysis, data sanitization and information retrieval. Students are expected to complete a course project on a relevant topic of their choosing. Prerequisite: A "C" or better grade in both Comp Sci 5300 and Comp Sci 3600.

* Curriculum is subject to change. Please contact the department for up-to-date information on courses. Other courses approved by the department may be substituted for any of the above listed courses on a case-by-case basis. The administrative coordinators must approve the substitution prior to enrolling in the course.

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Admission Requirements

The only entrance requirement for students entering a graduate certificate program is that they satisfy the prerequisites for any course they take in the program. For a full listing of course descriptions and prerequisites, please reference the graduate course catalog

Admission into MS Graduate Program:
A student who completes a graduate certificate program in computer science with grades of B or better will be admitted into the master's degree program in computer science at Missouri University of Science and Technology.1

1The student may be accepted as a "conditional" graduate student.
Such students will need to complete additional prerequisite
requirements before they are classified as "regular" graduate students.
For more information go online at

Missouri S&T is Certified by the National Security Agency (NSA) Committee on National Security Systems (CNSS) for National Standards 4011 ( National Training Standard for Information Systems Security (INFOSEC) Professionals) and 4014E ( Information Assurance Training Standard for Information Systems Security Officers (ISSO)).

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Gainful Employment Disclosure

Gainful Employment Program Disclosure

Effective July 1, 2011, the Department of Education requires that all certificate programs must disclose particular Gainful Employment information to current and prospective students. The information that is provided in the disclosure includes the estimated cost of the certificate program as well as on-time graduation and job placement rates for this particular certificate program. The disclosure information is based on data from the 2014-15 school year (defined as the period between July 1, 2014, and June 30, 2015).

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Application Items

Completed Application
$55 Application Fee
Statement of Purpose 

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Graduate Degrees

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).

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