Electrical and Computer Engineering and Computer Science

Return to: Tagliatela College of Engineering

Computer Science, M.S.

Graduate Advisor: Barun Chandra, Ph.D
Admissions Coordinator: Amir Esmailpour, Ph.D.

This program provides advanced professional training in computer science and gives students a diversity of experience and subject matter through its distribution, elective, and project requirements. Its broad scope recognizes the continuing development of computing disciplines and applications, and allows students to prepare for these areas. The program enables students to enter, or advance in, the computing profession or an allied field, along a variety of career paths. It can also prepare students for further graduate study.

Admission Policy

This program exists in two versions. The main degree program, consisting of 30 credit hours (10 courses) is for students who have earned a Bachelor's degree in Computer Science from an ABET accredited university. We also accommodate students with weaker CS backgrounds, or no prior CS background, by prescribing up to six additional courses in fundamental CS subjects. All applicants are expected to demonstrate that they have completed a baccalaureate degree and a course in college algebra prior to enrolling.

International applicants are urged to submit scores from the Graduate Record Examination (GRE) to be considered for admission.  GRE scores are required for international applicants who wish to be considered for scholarships. The GRE is optional for graduates of regionally accredited United States colleges and universities.

Cybersecurity and Networks, M.S.

Graduate Advisor: Barun Chandra,  Ph.D.
Admissions Coordinator: Amir Esmailpour, Ph.D. 

Admission Policy

This program is designed to accommodate students with no prior programming experience as well as those who already hold an undergraduate degree in computer science. All applicants will be expected to demonstrate that they have completed a baccalaureate degree prior to enrolling in the program.

Students entering with an adequate background in computer science must complete 30 credit hours of coursework as outlined below. Students with a background other than computer science may need to complete up to 12 additional credits of core courses.  Any of the four required core courses may be waived on the basis of appropriate undergraduate or graduate courses, subject to the approval of the Computer Science Graduate Admissions Coordinator.  Only courses with grades of B or better may be used for waiver purposes.

• CSCI 6604 - Introduction to Programming/C

• CSCI 6610 - Intermediate Programming: C/C++

• CSCI 6642 - Computer Networks and Data Communication 

• CSCI 6643 - Operating Systems

Students with deficiencies in programming, networks, or operating systems will be required to take one or more of the core courses listed above, in addition to the regular courses for the MS Cybersecurity and Networks degree.

Data Science, M.S.

The Master of Science in Data Science (MSDS) program is designed to prepare students for opportunities and challenges in the field of data science. The program offers a strong foundation in data analysis, machine learning, artificial intelligence, and statistical modeling. Specialized focus areas include big data, deep learning, computer vision, and natural language processing with opportunities to gain subject matter expertise in a wide range of cross-disciplinary fields such as security, business analytics, and health care analytics. To earn the MSDS degree, a student must complete a minimum of 33 credits.

Course Plan

A sample course plan (30 credit hours) for students exempted from taking the

DSCI 6602 - Introduction to Programming for Data Science course:

A sample course plan (33 credit hours) for students required to take DSCI 6602 -

Introduction to Programming for Data Science:

Electrical Engineering, M.S.

Coordinator: Ali Golbazi, Ph.D.

The Master of Science in Electrical Engineering (M.S.E.E.) is designed to provide students and practicing engineers alike with a background for analysis, design, development, or research on electrical or computer engineering in a variety of technical areas. It enables students to expand and deepen their knowledge beyond the baccalaureate degree and gives them the ability to adapt to ever-changing technological developments. Students with adequate background in electrical or digital and computer systems can complete the M.S.E.E. degree by successfully completing a minimum of 30 credits of course and project work.

Unique Features

Areas of research and study at the graduate level include:

• Autonomy and robotics,
• Applications of artificial intelligence and Machine learning in Electrical Engineering,
• Control systems and robotics,
• Smart grid and power systems.
• Communications/ digital signal processing,
• Embedded systems,
• Computer networks,
• Nanotechnology

The ECE faculty research page can be accessed here.

Transfer Credit

The transfer of graduate credit from other institutions may be permitted with the approval of the program coordinator and subject to Graduate School policy on transfer credit detailed elsewhere in this catalog.

Financial Support

Financial support is available through teaching or research assistantships. Financial support is offered to those students who, in the estimation of the Department faculty, hold greatest promise of being successful graduate students.

Admission Policy

Each applicant will be evaluated based on the academic performance and the promise of success in the program. Applicants with a GPA of 3.0 or better in a baccalaureate program in electrical engineering, computer engineering, or a closely related discipline from an ABET accredited program or equivalent will have the highest chance of being accepted into the program.  A minimum of 30 credits (10 courses) are required for applicants with strong preparation in their bachelor's degree. The M.S.E.E. program at the University of New Haven strives to ensure that all incoming students are aligned appropriately with the mission of the program and prepared for successful completion of graduate level coursework.

To effectively assess academic ability, graduates from American universities are encouraged. 

International applicants are required to submit scores from the Graduate Record Examination (GRE) to be considered for admission and scholarships.

Applicants with strong academic or professional experience but with gaps in some areas may be asked to complete additional courses beyond the 30 credits from electrical engineering or other disciplines.  In such cases students will be informed at the time of admission.  Courses may include the following: 

• ELEC 5501 - Digital Systems
• ELEC 6602 - Embedded Systems
• ELEC 6603 - Discrete and Continuous Systems I

Return to: Tagliatela College of Engineering