MS in Computer Science

University of Houston - Clear Lake

Program Description

MS in Computer Science

University of Houston - Clear Lake

MS in Computer Science

The University of Houston-Clear Lake offers a Master of Science in Computer Science. The degree builds on a thorough undergraduate study of Computer Science. Like the BS program, its curriculum balances a solid foundation in computer science with practical industrial technologies. The course of study prepares students for professional careers in the computer industry while giving them the foundation necessary for life-long learning in the rapidly changing computing field.

To enter the MS program, students must have undergraduate degrees related to computing. The department has many students with a wide range of majors other than computing; they take foundation courses to make up any deficiencies. The MS program requires core traditional computer science courses including DBMS, Advanced Operating Systems, Research Methods, Algorithms, and Programming Languages. It also offers practical courses which incorporate leading-edge technologies as electives, such as network programming, Web database development, data mining, and XML application development. Visit the Web pages on program objectives and curriculum for more information.

The program also provides the option for the students to select either a capstone project or a thesis. Capstone projects give students opportunities to work on real-world projects, usually mentored by a high-technology company partner in a team environment. These allow students to research and publish under the supervision of a faculty member. The Computer Science MS program is the largest program within the College of Science and Engineering.

Admission Requirements

The minimum admission requirements for a graduate degree program, including online programs, are 1) 3.0 GPA, and 2) 290 GRE scores (150 Quantitative, 140 Verbal). For more information on Computer Science program contact CSE Academic Advising.

Degree Plan

Core Requirements (12 Hours)

The following courses or their approved substitutions are required for both the thesis and the extended coursework options:

  • CSCI 5333 Database Management Systems
  • CSCI 5432 Design and Analysis of Algorithms
  • CSCI 5531 Advanced Operating Systems
  • CSCI 6530 Research Methods in Computer Science

Computer Science Thesis Option (21 hours)

Complete the following courses:

  • CSCI 6939 Master's Thesis Research

A student must take an additional 15 hours of electives. Pending faculty advisor approval, at most 3 credit hours may be taken at the 4000-level and at most 6 credit hours may be taken from SWEN/ CENG/ SENG rubrics.
Note: All electives must be approved before enrolling.

Computer Science Extended Course Work Option (24 hours)

Complete the following courses:

  • CSCI 5134 Concurrent Programming and Software Modeling
  • CSCI 6838 Research Project and Seminar

A student must take an additional 18 hours of CSCI and CINF electives, pending faculty adviser approval. At most, six credit hours may be taken at the 4000-level and at most, three credit hours may be taken from SWEN/ CENG/ SENG rubrics.
Note: CSCI 6838 must be taken during the last 12 hours, after completion of CSCI 5531 and CSCI 5333. All electives must be approved before enrolling.

Computer Science Specializations

Students interested in developing a sub-plan should take the corresponding courses:

Database Systems Specialization

  • CSCI 5433 Object-Oriented Database Systems
  • CSCI 5533 Distributed Information Systems
  • CSCI 5633 Web Database Development
  • CSCI 5833 Data Mining: Tools and Techniques

Network Performance and Security Specialization

  • CENG 5333 Network Performance Analysis
  • CSCI 5132 Internet Protocols
  • CSCI 5233 Computer Security & Integrity
  • CSCI 5234 Web Security
  • CSCI 5235 Network Security
  • CSCI 5631 Foundations for Service Oriented Architectures

Data Mining and Computational Bioinformatics Specialization

  • BIOT 5733 Bioinformatics
  • CENG 5634 Artificial Neural Networks
  • CSCI 5530 Pattern Classification
  • CSCI 5532 Pattern Recognition and Image Processing
  • CSCI 5833 Data Mining: Tools and Techniques
  • CSCI 5933 Computational Bioinformatics
This school offers programs in:
  • English


Last updated October 2, 2017
Duration & Price
This course is Campus based
Start Date
Start date
Sept. 2018
Duration
Duration
Full time
Price
Price
Information
Deadline
Locations
USA - Houston, Texas
Start date: Sept. 2018
Application deadline Request Info
End date Request Info
Dates
Sept. 2018
USA - Houston, Texas
Application deadline Request Info
End date Request Info