Master of Computational Science and Engineering (MCSE) Degree

Program Learning Outcomes for the MCSE Degree

Upon completing the MCSE degree, students will be able to:

  1. Acquire broad, advanced knowledge in modern computational techniques.
  2. Possess skills to identify, formulate, and solve advance technical problems related to one of the focus areas.
  3. Communicate technical ideas effectively.

Requirements for the MCSE Degree

The MCSE degree is a non-thesis master's degree. For general university requirements, please see Non-Thesis Master's Degrees. For additional requirements, regulations, and procedures for all graduate programs, please see All Graduate Students. Students pursuing the MCSE degree must complete:

  • A minimum of 30 credit hours to satisfy degree requirements.
  • A minimum of 30 credit hours of graduate-level study (graduate semester credit hours, coursework at the 500-level or above).
  • A minimum of 24 graduate semester credit hours must be taken at Rice University.
  • A minimum of 24 graduate semester credit hours must be taken in standard or traditional courses (with a course type of lecture, seminar, laboratory, lecture/laboratory). 
  • A minimum residency enrollment of one fall or spring semester of part-time graduate study at Rice University.
  • A maximum of 2 courses (6 graduate semester credit hours) from transfer credit. For additional departmental guidelines regarding transfer credit, see the Policies tab.
  • A minimum overall GPA of 2.67 or higher in all Rice coursework.
  • A minimum program GPA of 2.67 or higher in all Rice coursework that satisfies requirements for the non-thesis master’s degree.

The Master in Computational Science and Engineering (MCSE) degree in the School of Engineering is a non-thesis degree program designed to provide training and expertise in computational science and engineering and in data engineering and analytics. The MCSE degree program is intended for students interested in technical and managerial positions such as computational scientist, computational engineering, data engineering, and data analyst. The program offers students opportunities to specialize in areas such as scientific computing, high-performance computing, data analytics, data engineering, data science, and machine learning.

The departments of Computational and Applied Mathematics (CAAM) and Statistics (STAT) jointly offer the MCSE degree program. When applying to the MCSE degree program, students must select CAAM or STAT as their desired home department. If admitted, MCSE students are admitted to a select cohort from the home department selected in their application.

The courses listed below satisfy the requirements for this degree program. In certain instances, courses not on this official list may be substituted upon approval of the program's academic advisor, or where applicable, the department or program's Director of Graduate Studies. Course substitutions must be formally applied and entered into Degree Works by the department or program's Official Certifier. Additionally, these must be approved by the Office of Graduate and Postdoctoral Studies. Students and their academic advisors should identify and clearly document the courses to be taken.

Summary

Total Credit Hours Required for the MCSE Degree30

Degree Requirements

Core Requirements
Select 1 course from each of the following three groups:9
Computational and Applied Mathematics (CAAM)
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS 1
NUMERICAL ANALYSIS I 1
NUMERICAL LINEAR ALGEBRA 1
ITERATIVE METHODS FOR SYSTEMS OF EQUATIONS AND UNCONSTRAINED OPTIMIZATION 1
LINEAR AND INTEGER PROGRAMMING 1
Computer Science (COMP)
GRADUATE OBJECT-ORIENTED PROGRAMMING AND DESIGN
DATABASE SYSTEM IMPLEMENTATION
INTRODUCTION TO DATABASE SYSTEMS
GRADUATE DESIGN AND ANALYSIS OF ALGORITHMS
Statistics (STAT)
NEURAL MACHINE LEARNING I 1
PROBABILITY 1
STATISTICAL INFERENCE 1
MULTIVARIATE ANALYSIS 1
NEURAL MACHINE LEARNING AND DATA MINING II 1
STATISTICAL MACHINE LEARNING 1
REGRESSION AND LINEAR MODELS 1
Select 3 additional courses from the home department to which you have been admitted (CAAM or STAT)9
Computational and Applied Mathematics (CAAM)
COMPUTATIONAL SCIENCE I
COMPUTATIONAL SCIENCE II
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS 1
DISCONTINUOUS GALERKIN METHODS FOR SOLVING ENGINEERING PROBLEMS
NUMERICAL ANALYSIS I 1
NUMERICAL LINEAR ALGEBRA 1
ITERATIVE METHODS FOR SYSTEMS OF EQUATIONS AND UNCONSTRAINED OPTIMIZATION 1
NUMERICAL OPTIMIZATION
CONVEX OPTIMIZATION
LINEAR AND INTEGER PROGRAMMING 1
Statistics (STAT)
NEURAL MACHINE LEARNING I 1
PROBABILITY 1
STATISTICAL INFERENCE 1
MULTIVARIATE ANALYSIS 1
NEURAL MACHINE LEARNING AND DATA MINING II 1
R FOR DATA SCIENCE
STATISTICAL MACHINE LEARNING 1
REGRESSION AND LINEAR MODELS 1
ADVANCED STATISTICAL METHODS
GRAPHICAL MODELS AND NETWORKS
Elective Requirements12
Technical Electives 2
Select 3 courses (minimum of 9 credit hours) with an MCSE advisor from coursework focused on Computational Science and Engineering, offered by the Wiess School of Natural Sciences or the George R. Brown School of Engineering.
Communication, Leadership, Management, and Ethics
Select a minimum of 1 course (minimum of 3 credit hours) from approved Communication, Leadership, Management, and Ethics coursework
WORKPLACE COMMUNICATION FOR PROFESSIONAL MASTER'S STUDENTS IN ENGINEERING
TECHNICAL AND MANAGERIAL COMMUNICATIONS
LEADING TEAMS AND INNOVATION
ENGINEERING ECONOMICS
ETHICS AND ENGINEERING LEADERSHIP
PROFESSIONAL COMMUNICATION FOR ENGINEERING LEADERS
ENGINEERING PERSUASION: HOW TO DRIVE DECISIONS AND CHANGE
MANAGEMENT FOR SCIENCE AND ENGINEERING
LEARNING HOW TO INNOVATE?
LEADERSHIP COACHING FOR ENGINEERS
Total Credit Hours30

Footnotes and Additional Information

Policies for the MCSE Degree

Departments of Computational and Applied Mathematics and Statistics Graduate Program Handbook

The General Announcements (GA) is the official Rice curriculum. As an additional resource for students, the departments of Computational and Applied Mathematics and Statistics, which jointly offer the MCSE degree program, publish graduate program handbooks, which can be found here:

https://gradhandbooks.rice.edu/2020_21/Computational_Applied_Mathematics_Graduate_Handbook.pdf

https://gradhandbooks.rice.edu/2020_21/Statistics_Graduate_Handbook.pdf

Application Information 

Students must have completed a BA or BS degree in an engineering or science discipline, with training in engineering mathematics, statistical foundations, and programming methodology to be admitted to the program.

Transfer Credit 

For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Students are encouraged to meet with their academic program’s advisor when considering transfer credit possibilities.

Program Transfer Credit Guidelines

Students pursuing the MCSE degree should be aware of the following program-specific transfer credit guidelines:

  • No more than 2 courses (6 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards the degree.
  • Requests for transfer credit will be considered by the program director on an individual case-by-case basis. 

Additional Information

For additional information, please see the Computational Science and Engineering website: https://engrprofmasters.rice.edu/

Opportunities for the MCSE Degree

Fifth-Year Master's Degree Option for Rice Undergraduate Students 

In certain situations and with some terminal master's degree programs, Rice students have an option to pursue a master’s degree by adding an additional fifth year to their four years of undergraduate studies.

Advanced Rice undergraduate students in good academic standing typically apply to the master’s degree program during their junior or senior year. Upon acceptance, depending on course load, financial aid status, and other variables, they may then start taking some required courses of the master's degree program. A plan of study will need to be approved by the student's undergraduate major advisor and the master’s degree program director.

As part of this option and opportunity, Rice undergraduate students:

  • must complete the requirements for a bachelor's degree and the master's degree independently of each other (i.e. no course may be counted toward the fulfillment of both degrees).
  • should be aware there could be financial aid implications if the conversion of undergraduate coursework to that of graduate level reduces their earned undergraduate credit for any semester below that of full-time status (12 credit hours).
  • more information on this Undergraduate - Graduate Concurrent Enrollment opportunity, including specific information on the registration process can be found here.

Rice undergraduate students completing studies in science and engineering may have the option to pursue the Master of Computational Science and Engineering (MCSE) degree. For additional information, students should contact their undergraduate major advisor and the MCSE program director. 

Additional Information 

For additional information, please see the Computational Science and Engineering website: https://engrprofmasters.rice.edu/