Master of Advanced Studies (MAS) in Engineering

https://jacobsschool.ucsd.edu/mas

All courses, faculty listings, and curricular and degree requirements described herein are subject to change or deletion without notice.

Overview of Professional Graduate Degree Programs

The Jacobs School of Engineering offers several professional master’s degree programs designed for working professionals who are seeking to expand their professional expertise and skill sets. These interdisciplinary professional programs are offered through partnerships between engineering departments, research centers and institutes, and partner schools within UC San Diego. Currently offered master of advanced studies programs include:

Convergent Systems Engineering (CoSE)
Data Science and Engineering (DSE)
Wireless Embedded Systems (WES)

Convergent Systems Engineering (CoSE)

Program Description

The Department of Mechanical and Aerospace Engineering in partnership with the Rady School of Management and engineering professional education offers the master of advanced studies (MAS) degree in convergent systems engineering (CoSE). The MAS in CoSE program brings together systems thinking and social sciences; modeling, AI and machine learning, and analysis; systems and software engineering; and business principles to enable leaders to identify systemic problems and opportunities, and transform these into sustainable solutions.

The MAS in convergent systems engineering program includes specializations in:

Architecture-Based Enterprise Systems Engineering (AESE)
Cyber-Physical Social Systems (CPSS)
Value Supply Chains (VSC)

The AESE specialization is intended to educate mid-career and senior engineers and engineering managers to the problems and emerging solution approaches that can enable their enterprises to better respond to the challenges of globally distributed operations in complex, highly dynamic, event-driven environments. An “integrated perspective” that merges the views of management and engineering communities is increasingly recognized as one of the cornerstones of a successful approach to enterprise complexity and is a key aspect of the AESE specialization.

The CPSS specialization is focused on the engineering of cyber-physical social systems that integrate computing, physical assets, and human networks over the lifecycle from concept to deployment and evolution. While most think about people using systems, many complex systems (such as the smart grid or smart cities) are actually a combination of computers, machines, and people all working together to achieve individual, organizational, and social goals. This specialization places the human and their social interactions within the system of interest.

The VSC specialization is concerned with supply chains which are the connective tissue of the global economy that is the source of much of the innovation that enables economic stability and growth. Ultimately, supply chains determine the economic, social, and environmental sustainability of engineered systems. There has been growing industrial demand for engineers who can understand, design, and manage complex end-to-end supply chains. Systems engineering skills combined with the supply chain and business mindset, which is the focus of this specialization, matches well with this growing industry demand.

The MAS in convergent systems engineering program is a part-time or full-time, self-supporting degree program with a course schedule designed for working engineering professionals.

Admission

Each of the three program specializations are project based, share a common course structure, and conclude with a capstone project. Each specialization has a unique application in the UC San Diego application portal. The common admission guidelines for all three specializations are:

A bachelor’s degree in engineering, science, management, or mathematics
Undergraduate record (a minimum overall GPA of 3.0 or equivalent)
Statement of interest in the broad issues associated with one of the specialization domains
Two letters of recommendation
TOEFL or TSE scores (foreign applicants only with less than one year of work experience in an English-language environment)

Program of Study

The degree requires forty-two units of work including a capstone team project. Students entering the MAS program will undertake courses in engineering and management. This program requires students to complete nine four-unit courses totaling thirty-six units, three quarterly project courses (one unit each for a total of three units), and one final capstone team project course of three units for a total of forty-two units.

Required Courses

The following courses must be completed by all students:

MGT 291. Essentials for Business Practice
MGT 406. Leadership Skills, Values, and Teamwork in Technology Firms (Workshop)
AESE 241. Decision and Risk Analysis
AESE 261. Managing Stakeholder Relationships (Workshop)
AESE 278A. Complexity and Large-Scale Systems
AESE 278B. Enterprise Architecting
AESE 278C. Modeling, Simulation, and Analysis
AESE 278D. Engineering Essentials for Open, Distributed Systems (Workshop)
AESE 278E. Patterns for Enterprise Architecting
AESE 279A. AESE Quarterly Team Project (taken fall, winter, spring quarters; one unit each)
AESE 279B. AESE Capstone Team Project (final project; summer; three units)

Capstone (three units total)

Students are required to execute a project with an adviser while enrolled in AESE 279A-B.

Final Project Capstone Requirement, No Thesis

In the architecture-based enterprise systems engineering program, an “alternative plan” requirement is satisfied by a three-unit capstone project requirement.

Data Science and Engineering (DSE)

Program Description

The Department of Computer Science and Engineering, in cooperation with the San Diego Supercomputer Center and the office of engineering executive education, offers the master of advanced studies (MAS) degree in data science and engineering (DSE). The program brings together the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, and then present them in effective visual ways that can be understood by others. Degree requirements can be completed within six quarters of part-time study.

Admission

The common admission guidelines are:

A bachelor’s degree in engineering, science, management, or mathematics
Undergraduate/graduate record (a minimum overall GPA of 3.0 or equivalent)
Statement of interest
Two letters of recommendation
TOEFL or TSE scores (foreign applicants only with less than one year of work experience in an English-language environment)

Program of Study

The degree requires nine courses totaling thirty-four units and two capstone team project courses of two units each for a total of thirty-eight units.

Required Courses

The following courses must be completed by all students:

DSE 200, four units, Python for Data Analysis
DSE 201, four units, Database Management Systems
DSE 203, four units, Data Integration and ETL
DSE 210, four units, Statistics and Probability Using Python
DSE 220, four units, Machine Learning
DSE 230, four units, Scalable Data Analysis
DSE 241, four units, Data Visualization
DSE 250, four units, Beyond Relational Data Models
DSE 290, two units, Case Studies in Data Science

Capstone (four units total)

The program requires completion of a capstone project that includes a presentation and final report as documented by completion of the following capstone courses:

DSE 260A, two units, Data Science Design Capstone Project
DSE 260B, two units, Data Science Design Capstone Project, Continued

Final Project Capstone Requirement, No Thesis

In the data science and engineering program, an “alternative plan” requirement is satisfied by a four-unit capstone project requirement.

Wireless Embedded Systems (WES)

Program Description

The Department of Electrical and Computer Engineering (ECE) and the Department of Computer Science and Engineering (CSE), in partnership with the office of engineering executive education, offers the master of advanced studies (MAS) degree in wireless embedded systems (WES). The program employs a cross-disciplinary education paradigm, designed to provide high-level training for engineering and technical professionals who plan to become technical leaders in this burgeoning field. Students entering the wireless embedded systems professional degree program will undertake courses in systems, software, hardware, and communication theory.

Admission

The common admission guidelines are:

A bachelor’s degree in engineering, science, management, or mathematics
Undergraduate/graduate record (a minimum overall GPA of 3.0 or equivalent)
Statement of interest
Two letters of recommendation
TOEFL or TSE scores (foreign applicants only with less than one year of work experience in an English-language environment)

Program of Study

The degree requires eight courses totaling thirty-two units of work and one capstone course of four units for a total of thirty-six. All requirements can be completed within seven quarters of part-time study.

Required Courses

The following courses must be completed by all students:

WES 237A, four units, Introduction to Embedded Systems Design
WES 237B, four units, Software for Embedded Systems
WES 237C, four units, Hardware for Embedded Systems
WES 265, four units, Wireless Communications Circuits and Systems
WES 267, four units, Digital Signal Processing for Wireless Embedded Systems
WES 268A, four units, Digital Communications Systems I
WES 268B, four units, Digital Communications Systems II
WES 269, four units, Codesign of Hardware and Software

Capstone (four units total)

The program requires completion of a capstone project that includes a presentation and final report as documented by completion of the following capstone course:

WES 207, four units, Capstone Project: Wireless Embedded Systems

Final Project Capstone Requirement, No Thesis

In the wireless embedded systems program, an “alternative plan” requirement is satisfied by a four-unit capstone project requirement.

Distance Learning

There is an opportunity for taking some courses in the program via distance learning. Distance learning courses are taught in a conventional manner with some students participating from a location outside of UC San Diego, connected to the instructor and classmates via a synchronous, two-way video and audio link. Participation in this modality is limited. Consideration for enrollment in distance learning courses must be discussed with the program directors at the time of application. It must support synchronous video and audio transmission with the ability for students to engage in conversations and answer questions as any student located on-site for the program.

Student with Disabilities

For the program to respond, a student requiring accommodation for disability must make a request for accommodation upon submission of the student’s intent to apply to MAS programs. Declaration of any disability information is not part of the admissions review and will not factor into admission decisions.

Information concerning accommodation requests is available at: http://osd.ucsd.edu/students/registering.html.

For more information on the MAS programs, please visit the program website at: https://jacobsschool.ucsd.edu/mas.