» MS in Electrical Engineering and Computer Science

Admission Deadline: January 15, 2024
Applications received after the deadlines will be considered on a rolling basis as space is available.

Prerequisites:

It is expected that students admitted to the MS EECS program will have completed substantial preparatory coursework as an undergraduate major or minor from a regionally accredited institution in one of the following disciplines, or the equivalent: Computer Engineering, Computer Science, Data Science, Electrical Engineering, Informatics, Mathematics, Mechanical Engineering, Physics, or Software Engineering.

Chapman's language of instruction is English. If you have not received a bachelor's degree (or higher) at an institute where English was the language of instruction, you must demonstrate English proficiency by submitting official scores from an English language exam. You can find additional information here.

Students pursuing the Master of Science in Electrical Engineering and Computer Science are held to the University's Academic Policies and Procedures. In addition, these specific degree standards apply:

• Minimum grade "C+" or above required in all coursework.
• Maintain 3.000 GPA in the degree.
• Complete the thesis or coursework option as part of Mastery Demonstration.

Students admitted to the MS in Electrical Engineering and Computer Science degree program may transfer up to 6 credits completed toward MS degree coursework upon approval by the program director or associate dean of the college. (See Academic Policies and Procedures for transfer policies.)

The following courses make up the MS in Electrical Engineering and Computer Science curriculum (30 credits):

 Ethics Core (3 credits)

Students complete three 1-credit sections of ENGR501 – Ethical Foundations of Engineering.     Each section completed must be a unique topic.

Leadership Core (6 credits)

ENGR510                Innovation, Product, Design, and Development      3

ENGR520                Technical Writing and Communication                    3

Technical Core (15 credits)

Students complete 15 credits from at least two areas of study.

Computing Systems Area of Study

CPSC510                 Logical Foundations of Computing                         3

CPSC511                 Algorithm Analysis and Design Techniques             3

CPSC512                 Operating System Implementation                        3

CPSC513                 Database Systems Implementation                        3

CPSC514                 Internet of Things and Web Security                      3

CPSC515                 Computer Graphics and Computational Geometry    3

CPSC516                 Human-Centered Computing                                  3

CPSC570                 Advanced Topics in Computing Systems                  3

CS610                      Models of Computing                                            3

CS616                      High Performance Computing                                3

Data Science and Intelligent Systems Area of Study

CPSC530                 Algorithmic Foundations of Artificial Intelligence           3

CPSC531                 Advanced Artificial Intelligence                                   3

CPSC540                 Statistical Machine Learning I                                     3

CPSC541                 Statistical Machine Learning II                                    3

CPSC542                 Deep Learning and Computer Vision                            3

CPSC543                 Text Mining and Natural Language Processing               3

CPSC544                 Information Retrieval and Knowledge Representation    3

CPSC571                 Advanced Topics in Intelligent Systems                        3

CS536                      Neural Computation                                                  3

CS611                      Time Series Analysis                                                  3

CS614                      Interactive Data Analysis                                          3

CS635                      BioMedical Informatics                                              3

CS685                      Bayesian Data Analysis                                             3

Electrical Systems Area of Study

CS615                      Digital Image Processing                                       3

CS660                      Fourier Analysis                                                   3

EENG510                Fundamental and Applied Electromagnetic Theory     3

EENG511                Controlled and Autonomous Systems                        3

EENG512                Modern Optics and Nanophotonics                            3

EENG513                Solid State and Nanoelectronic Technologies              3

EENG514                Advanced Integrated Circuit Design                          3

EENG515                Analog, Digital, and Mixed Signal Processing              3

EENG516                Wireless Communication                                          3

EENG570                Advanced Topics in Electrical Systems                      3

Mastery Demonstration (6 units)

Option 1

Students complete two 3-credit sections of ENGR698 – Thesis.

Option 2

Students complete two additional 3-credit courses from the Technical Core.

Students in the thesis option must complete 30 credits to graduate, including 24 credits of coursework and two 3-credit sections of ENGR698. Students must be accepted by a Fowler School of Engineering full-time faculty member as a research advisee to enroll in the thesis option. The thesis advisor will supervise the student’s work, set deadlines, and guide the student’s progress. If additional time is required to complete the thesis beyond the 6 credits of ENGR698, students must register for one credit of ENGR697 for each semester the thesis remains outstanding. See continuous enrollment for additional information.

Undergraduates can take up to 15 credits of graduate coursework during their senior year and earn an MS in electrical engineering and computer science with just one additional year of study. Students completing undergraduate degrees in computer engineering, computer science, data science, electrical engineering, or software engineering are eligible for the integrated MS in Electrical Engineering and Computer Science program (EECS). The program is also available to undergraduates majoring in other STEM disciplines with a minor (or equivalent) in one of the above areas.

For the Integrated Master of Science in Electrical Engineering and Computer Science program, graduate courses used to satisfy undergraduate degree requirements may also satisfy up to 15 credits of graduate coursework and may be double counted towards both bachelor's and master's degrees. By default, these credits will not apply towards the undergraduate major, only overall degree completion. Counting graduate coursework toward undergraduate major requirements may only be done with approval from the pertinent undergraduate program director and will not exceed 6 credits in total.