RICE UNIVERSITY · UNITED STATES
Master of Computational Science and Engineering (MCSE)
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 30 credit hoursTotal Credit Hours Required
- 2.67 GPAMinimum Overall and Program GPA
- Non-thesis degreeProgram Structure
- Specializations in Scientific Computing, Data Science, Machine Learning and moreFocus Areas
The Master of Computational Science and Engineering (MCSE) is a non-thesis master's degree program offered jointly by the departments of Computational Applied Mathematics and Operations Research (CMOR) and Statistics (STAT). This program is designed to equip students with advanced training and expertise in computational science and engineering, with a focus on data engineering and analytics. Graduates are prepared for technical and managerial roles such as computational scientist, computational engineer, data engineer, and data analyst.
Curriculum
The MCSE program requires a minimum of 30 credit hours of graduate-level study, with at least 24 credit hours taken at Rice University and in traditional course formats. The curriculum includes core requirements, specialization courses, and electives.
- Year 1
- Core Requirements: Select 1 course from CMOR, COMP, and STATCMOR/COMP/STAT
- Specialization Courses: Select 3 courses from CMOR or STATCMOR/STAT
- Elective Courses: Technical Electives (minimum 3 courses/9 credit hours)
- Elective Courses: Communication, Leadership, Management, Ethics, and Practicum (minimum 1 course/3 credit hours)
- Year 2
Careers
The MCSE degree prepares graduates for technical and managerial positions in various computational fields.
- Computational Scientist
- Computational Engineer
- Data Engineer
- Data Analyst
Frequently asked questions
- What are the academic requirements for the Master of Computational Science and Engineering (MCSE) program?
- The program requires a minimum of 30 graduate semester credit hours. You will need to maintain a minimum overall GPA of 2.67 and a minimum program GPA of 2.67 in all Rice coursework. You must also complete at least one fall or spring semester of part-time graduate study at Rice University.
- How is the MCSE program structured and what is the duration?
- The MCSE is a non-thesis master's degree program. It requires a minimum of 30 credit hours of graduate-level study, with at least 24 credit hours taken in traditional course formats at Rice University. The curriculum is divided into core requirements, specialization courses, and electives, typically completed over two years.
- What specialization options are available within the MCSE program?
- Students must select either Computational Applied Mathematics and Operations Research (CMOR) or Statistics (STAT) as their home department specialization upon application. The program also offers focus areas in Scientific Computing, Data Science, and Machine Learning.
- What are the career prospects after completing the MCSE program?
- The MCSE degree prepares graduates for technical and managerial positions in various computational fields. Common roles include Computational Scientist, Computational Engineer, Data Engineer, and Data Analyst.
- Where can I find specific application deadlines and English proficiency requirements?
- Please refer to the Rice University Graduate Admissions website for specific application deadlines for the upcoming academic year and detailed information on English language proficiency requirements for international students.
- Is there information available regarding tuition fees and living costs for the MCSE program?
- The provided fee information is general and does not specify amounts for this particular program. Tuition and living cost estimates are not provided on the program page.
Entry requirements
Graduate-level studyMinimum of 30 graduate semester credit hours
ResidencyMinimum one fall or spring semester of part-time graduate study at Rice University.
Transfer CreditMaximum of 2 courses (6 graduate semester credit hours) from transfer credit.
GPAMinimum overall GPA of 2.67 and a minimum program GPA of 2.67 in all Rice coursework.
Students must select either Computational Applied Mathematics and Operations Research (CMOR) or Statistics (STAT) as their home department specialization upon application.
Fees
Tuition (international)Tuition information is not provided on the program page.
Tuition (home)Tuition information is not provided on the program page.
LivingLiving cost estimates are not provided on the program page.
The provided fee information is general and does not specify amounts for this particular program.
How to apply
1. Review Admission RequirementsEnsure you meet the academic and English language proficiency requirements for graduate study at Rice University.
2. Choose SpecializationSelect your desired area of specialization: Computational Applied Mathematics and Operations Research (CMOR) or Statistics (STAT). This choice will influence your core requirements.
3. Prepare Application MaterialsGather all necessary documents, including academic transcripts, letters of recommendation, and a statement of purpose.
4. Submit ApplicationComplete and submit the online graduate application form, including any required application fees.
5. Await Admission DecisionAdmissions decisions are typically released by the university.
Frequently asked questions
What are the academic requirements for the Master of Computational Science and Engineering (MCSE) program?
+
The program requires a minimum of 30 graduate semester credit hours. You will need to maintain a minimum overall GPA of 2.67 and a minimum program GPA of 2.67 in all Rice coursework. You must also complete at least one fall or spring semester of part-time graduate study at Rice University.
How is the MCSE program structured and what is the duration?
+
The MCSE is a non-thesis master's degree program. It requires a minimum of 30 credit hours of graduate-level study, with at least 24 credit hours taken in traditional course formats at Rice University. The curriculum is divided into core requirements, specialization courses, and electives, typically completed over two years.
What specialization options are available within the MCSE program?
+
Students must select either Computational Applied Mathematics and Operations Research (CMOR) or Statistics (STAT) as their home department specialization upon application. The program also offers focus areas in Scientific Computing, Data Science, and Machine Learning.
What are the career prospects after completing the MCSE program?
+
The MCSE degree prepares graduates for technical and managerial positions in various computational fields. Common roles include Computational Scientist, Computational Engineer, Data Engineer, and Data Analyst.
Where can I find specific application deadlines and English proficiency requirements?
+
Please refer to the Rice University Graduate Admissions website for specific application deadlines for the upcoming academic year and detailed information on English language proficiency requirements for international students.
Is there information available regarding tuition fees and living costs for the MCSE program?
+
The provided fee information is general and does not specify amounts for this particular program. Tuition and living cost estimates are not provided on the program page.