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Nov 03, 2024
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2024-2025 Graduate Catalog
Computer Science (M.S.)
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Program Coordinator/Contact
Sungyong Jung, Department Head
Kaiqun Fu, Assistant Professor/Graduate Coordinator
McComish Department of Electrical Engineering and Computer Science
Daktronics Engineering Hall 214, Box 2222
605-688-4526
Program Information
The McComish Department of Electrical Engineering and Computer Science offers the Master of Science in Computer Science. The program prepares graduate students for positions in the design and development of computer systems and applications in business and industry and for scientific positions in industrial or academic computing research. Areas of research interest within the department currently include Software Engineering, Medical Image Processing, Parallel Processing, Applied Computing, GIS, Computer Security, Cluster Computing, and Computer Networks.
Course Delivery Format
A majority of the courses are taught on campus in smart classrooms. The smart classrooms allow for a variety of methods for student engagement and faculty are able to record and post their lectures online.
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Program Educational Objectives
The CS graduate program objectives are to equip individuals to:
- Discover and disseminate knowledge relevant to the discipline of computer science.
- Provide leadership for increasingly complex roles in computer science and industry.
- Contribute to the advancement of the science of computer science serving regional and national needs.
Student Learning Outcomes
- Conduct research and/or design software projects: Conduct research and/or design software projects that demonstrate ability to model, analyze, design, implement, and manage software development processes and systems.
- Understand fundamental principles: Articulate a solid understanding of the fundamental principles in the area of computer science.
- Communication skills: Demonstrate an ability to communicate, both orally and in writing, technical information effectively as an ethically and socially responsible computer science professional.
Available Options for Graduate Degrees
Master of Science |
Thesis |
30 Credit Hours |
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Non-Thesis |
30 Credit Hours |
Select one of the following options
Total Required Credits: 30 (Thesis & Non-Thesis)
Additional Admission Requirements
GRE: Not required
TOEFL: 71 Internet-based
TOEFL Essentials: 7.5
IELTS: 6.0
Duolingo: 100
Two letters of recommendation with at least one from an individual who can address the applicant’s technical knowledge background and ability to perform research, a research statement or statement of interest area, and transcripts are required.
Additional Graduation Requirements
All CS graduate candidates must pass a comprehensive written examination. The comprehensive written examination is offered twice during each academic year. The four graduate core courses are the subjects of the comprehensive written examination.
Comprehensive Written Exam Requirements
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CS graduate students can take the comprehensive exam up to three times as long as they have an average score of 50 or higher in the comprehensive exam and a minimum score of 40 or higher in each of the core course exams. If at any time in the students’ scores fall below the criteria, the student loses the option of retaking the exam.
Final Oral Exam Requirements
The final oral exam is required for both thesis and non-thesis students. It is scheduled for approximately two hours. The first part of the exam includes the candidate’s thesis or design paper defense, and the second part of the exam comprises the candidate’s course work.
Accelerated Master’s Program
The accelerated master’s program will be available to eligible SDSU students. Up to twelve (12) graduate level credits may apply to the undergraduate degree as major requirements or electives with approval from the student’s academic advisor, department head/school director, and college dean. Students must follow SDSU Policy 2:22 Use of Graduate Credit for Undergraduate Degree Requirements.
General Requirements
Graduate students should consult with their advisor before registering for graduate coursework. For additional information, refer to the Master’s Degree Requirements .
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