MCS Master of Computer Science Program Michael Goodrich Chancellor’s Professor

Comparing MCS and MSCS Degrees The MCS is primarily an on-campus program http://www.cs.uci.edu/graduate-computer-science-programs/

Hiring summer interns and graduates MCS Communication/Cooperation with Industry is important We welcome input from the ICS Leadership Council Especially with respect to: Providing input and feedback on program direction and with respect to our Capstone Design Projects. Hiring summer interns and graduates

MCS Program Characteristics Faculty Characteristics Every course has a strong lab/project component and teaching support from seasoned PhD students and readers (graders) Students complete a full-time capstone design and professional communication experience in the fourth quarter of the program The first cohort is all full time The second cohort will allow for some part time students Faculty Characteristics Almost all are CS faculty in the Bren School of ICS (mostly Senate faculty) A couple are visiting faculty In the future a few could be high-level industry professionals with graduate degrees

MCS Student Characteristics The first class will have approx. 100 students The first class is mainly non-resident, possibly due to strong demand from overseas Most students are from CS or closely related fields – though we anticipate taking outstanding students from other technical fields in the future

MCS Master of Computer Science Program Questions? Faculty Director – Amelia Regan aregan@uci.edu

MCS Required Courses Principles of Applied Data Management Computer Systems Architecture or Operating Systems Fundamentals of Algorithms with Applications Capstone Professional Writing and Communication for Computer Science Careers Capstone Design Project for Computer Science

MCS Elective Courses (6 of the following -- not all courses offered every year) Applied Cryptography Network and Distributed Systems Security Principles of Scientific Computing Computer Graphics and Visualization Visual Computing Distributed Computer Systems Computer and Communications Networks Introduction to IoT Operating Systems Computer Systems Architecture Data Structures with Applications Introduction to Optimization Introduction to Artificial Intelligence Machine Learning and Data Mining

MCS Learning outcomes Assessment An ability to communicate effectively in written form regarding topics in the discipline An ability to use current techniques, skills, and tools necessary for computing practices An ability to apply mathematical foundations and algorithmic principles in the modeling, design, and analysis of computer-based systems An ability to apply design and development principles in the construction of computationally based systems of varying complexity Assessment Course Performance Capstone Projects Placements Exit Surveys (and 3 and 5 year surveys) Employer Surveys