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Graduation Requirements |
Bachelor |
Master |
PhD |
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Minimum years required for graduation |
4 |
1 |
2 |
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Minimum credits required for graduation |
128 |
24 |
18 |
|
Required Course Credits |
94 |
18 |
12 |
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Elective Course Credits |
34 |
6 |
6 |
Bachelor
Common Required Courses
|
Course Titles/Areas |
Credit Hours |
|
Chinese |
6 |
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Foreign Language |
4 |
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History |
2 |
|
Physical Education Courses |
0 |
|
Service Education Courses |
0 |
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Core and General Education Courses (Required/Selective) |
14 |
|
Total |
26 |
Please see: http://pdc.adm.ncu.edu.tw/eng/rule/NCU_Doc11_ed.pdf
Required Courses
|
Course Titles |
Credit Hours |
|
Calculus (MA1001 MA1002) |
8 |
|
Linear Algebra (MA2007 MA2008) |
6 |
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Introduction to Computer I (MA1013) |
3 |
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General Physics/General Chemistry/General Biology (PH1033 PH1034 / CM1009 CM1010/LS1013 LS1014) |
6 |
|
Advanced Calculus (MA2045 MA2046) |
8 |
|
Algebra I (MA2025) |
3 |
|
Elementary Differential Equations I (MA2041) |
3 |
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Probability and Statistics (MA2022) |
4 |
|
Complex Analysis I (MA3015) |
3 |
Elective Course
Introduction to Computer II (MA1014)
Basic Mathematics (MA1015)
Algebra II (MA2026)
Elementary Differential Equations II (MA2042)
Computer Programming and Application (MA2051)
Advanced Calculus III(MA2047)
Discrete Mathematics I (MA3034)
Geometry I (MA4005)
Topics in Algebra (MA3031)
Numerical Analysis I (MA3021)
Master
Basic Courses
<Real Analysis>
<Algebra>
<Differential Geometry>
<Differential Equations>
<Theory of Statistical Inference> or <Probability Theory>
<Graph Theory>
<Numerical Analysis>
Advanced Courses
<Functional Analysis>
<Algebraic Geometry> or <Representation Theory> or <Number Theory>
<Algebraic Topology>
<Partial Differential Equations>
<Discrete Math>
<Theory of Stochastic Processes>
<Finite Element Methods>
Core Courses for Applied Mathematics
Differential Equations: <Differential Equations I> <Differential Equations II>
Numerical Analysis: <Numerical Analysis I> <Numerical Analysis II>
Discrete Math: <Graph Theory I> <Graph Theory II>
Probability and Statistics: <Theory of Statistical Inference I> <Theory of Statistical Inference II> <Probability Theory I> <Probability Theory II>
Programming: < Computer Programming and Application>
Other requirements
★Pass an oral defense of thesis.
Ph.D.
Basic Courses
<Real Analysis>
<Algebra>
<Differential Geometry>
<Differential Equations>
<Theory of Statistical Inference> or <Probability Theory>
<Graph Theory>
<Numerical Analysis>
Advanced Courses
<Functional Analysis>
<Algebraic Geometry> or <Representation Theory> or <Number Theory>
<Algebraic Topology>
<Partial Differential Equations>
<Discrete Math>
<Theory of Stochastic Processes>
<Finite Element Methods>
Other requirements
★Pass doctoral candidacy qualification examination within the first two years.
★Pass an oral defense of thesis.
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