Electrical Engineering

General

Program Title

Degree Designation

MSEE

Award Type

Masters

Program Level

Graduate

Instruction Mode

On Campus, Online Exclusive - Asynchronous

Program Description

The Master of Science in Electrical Engineering program is designed for full and part-time students desiring advanced study in electrical engineering. The program emphasizes advanced courses in the areas of computers, communication, signal processing, biomedical engineering, controls, and computer aided design of integrated circuits.

Department/Unit(s)

Electrical & Computer Engineering

College/School

College of Science and Engineering

Status

Active

Admission Requirements

What previous degree and/or experience is required prior to admission to this program?

Bachelors Degree

Minimum undergraduate GPA for admission

2.75

Requirements

Free Form Requisites

Admissions Requirements

A baccalaureate degree in Electrical Engineering or Computer Engineering with a major GPA of at least 3.0 in the last two years. Provisional admission for students who have undergraduate degrees in technical areas such as mathematics, physics, computer science, and other engineering disciplines may be possible. See program website for information.
Minimum Quantitative GRE score of 155.
Students who score below 4.0 on the analytical writing portion of the GRE are required to complete an approved SCSU English writing course with a grade of C or better.
The GRE requirement is waived for applicants with a Bachelor of Science in Electrical Engineering or Computer Engineering from St. Cloud State and a major GPA of at least 3.0 in the last two years.
Some undergraduate courses may be required for applicants who have BS degrees but need additional undergraduate training in specific areas for successful completion of the MSEE.
Conditional admission may be possible. See program website for information.

Program Requirements

Thesis option. Credits: 30

Core: 18-24 credits of 500- and 600-level ECE classes (exclusive of course) including a minimum of 12 credits of course-level courses including 3 credits of course. Select courses with advisor approval.

Electives: 0-6 credits from 500- and 600-level courses in mathematics, statistics, computer science, physics, material science, or biology. Select courses with advisor approval.

Research: 6 credits: course.

Starred papers with Comprehensive Exam. Credits: 33

Core: 21-30 credits of 500- and 600-level ECE classes (exclusive of course) including a minimum of 15 credits of course-level courses including 3 credits of course. Select courses with advisor approval.

Electives: 0-9 credits from 500- and 600-level courses in mathematics, statistics, computer science, physics, material science, or biology. Select courses with advisor approval.

Research: 3 credits: course.

Graduate Plan C

Portfolio/Project | Portfolio/Internship. Credits: 36

Core: 21-30 credits of 500- and 600-level ECE classes including a minimum of 15 credits of course-level courses and 3 credits of course. Select courses with advisor approval.

Electives: 0-6 credits from 500- and 600-level courses in mathematics, statistics, computer science, physics, material science, or biology. Select courses with advisor approval.

Research: 6-9 credits of course and an approved portfolio of written reports from course work and research.

See program website for additional information.

Program Learning Outcomes

Outcome

An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

Outcome

An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

Outcome

An ability to communicate effectively with a range of audiences

Outcome

An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

Outcome

An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

Outcome

An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

Outcome

An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Degree Maps

Major Code

8200

Program Code

347162015