BACHELOR OF APLLIED MATHEMATICS
Programme name: Applied Mathematics Code: 7460112
Mode of training: Fulltime Training time: 4 years
Award: Bachelor Total number of credits: 141 credits
Programme type: Regular
Part 1
A BRIEF OVERVIEW OF THE PROGRAMME
1.1 Programme name: Applied Mathematics Programme
1.2 Programme Code: 7460112
1.3 Awarding institution: Can Tho University.
Address: Campus II, 3/2 Street, Xuan Khanh Ward, Ninh Kieu District, Can Tho City
Website: https://ctu.edu.vn/bmt.html
1.4 Award: Bachelor of Applied Mathematics
1.5 Total credits: 141
1.6 Mode of training: Fulltime
1.7 Training time: 4 years (at most 8 years)
1.8 Applicants: People with high school diplomas or equivalent
1.9 Grade System: 4grade
1.10 Graduation conditions:
 Accumulate enough modules and credits specified in the programme; cumulative common average of the whole course of 2.0 or higher (on 4grade);
 Complete conditional courses. In addition, general average score of National Defense and Security Education courses must be 5.0 or higher (on a 10grade);
 Not being examined for criminal liability, not being disciplined at the level of suspension of study in the last academic year.
Part 2
PROGRAMME OBJECTIVES AND EXPECTED LEARNING OUTCOMES
1. Programme objective
1.1 General programme objective
The Bachelor in Applied Mathematics (AMB) programme trains bachelors of science with indepth knowledge of Applied Mathematics; capable of applying mathematical knowledge in the fields of science, technology, economy and society; capable of modeling realworld problems, building algorithms, processing and analyzing statistics; capable of working independently, creatively and competently in scientific research; have basic knowledge of political, social and legal sciences; Have skills in using foreign languages and using information technology.
1.2 Expected learning outcomes
The AMB graduates are expected to have ELOs as follows::
 ELO1: Train students with political qualities, professional ethics, consciously serving the people, having good health, meeting the requirements of building and protecting the fatherland.
 ELO2: Equip students with solid professional knowledge including basic knowledge and indepth knowledge of Applied Mathematics, equipped with basic knowledge of foreign languages and informatics.
 ELO3: Train students to apply mathematical knowledge to solve practical problems through modeling, collecting, processing and analyzing data, building algorithms and performing calculations and solving forecasting problems to meet practical requirements.
ELO4: Train students in independent work skills, collective work skills and skills adapted to the external work environment.
 ELO5: Training students capable of continuing their studies at postgraduate levels.
2. Learning outcomes of programme
Completing the AMB programme, learners master the knowledge, have skills and demonstrate the level of autonomy and personal responsibility as follows:
2.1 Knowledge
2.1.1 General knowledge
PLO1: Master the basics of Marxism Leninism; The lines and policies of the Communist Party of Vietnam, Ho Chi Minh's ideology, physical education, national defense education meet the requirements of building and protecting the Fatherland.
PLO2: Master basic knowledge of general law, social sciences and humanities, natural sciences to meet the requirements of professional education knowledge acquisition.
PLO3: Understand and apply the basic knowledge of English or French equivalent to level 3/6 of Vietnam's foreign language capacity framework (B1 according to the European reference framework).
PLO4: Master the basics of computers, office software for learning and research.
2.1.2 Fundamental knowledge
PLO5: Master basic knowledge of Analysis such as Real Analysis, Functional Analysis, Complex Analysis, Ordinary Differential Equation, Measure Theory and Integration; basic knowledge of Algebra as Linear Algebra, General Algebra, Linear Programming, Discrete Mathematics; basic knowledge of informatics and mathematical modeling; as a foundation for learning, researching at a higher level and applying to the fields of applied mathematics.
PLO6: Master the basic knowledge of Probability theory and Statistics, in order to solve statistical problems in various fields such as Economics, Biology, Society and help learners to absorb indepth knowledge of Statistics.
2.1.3Specialized knowledge
PLO7: Master indepth knowledge of probability, random processes for studying statistical theory and financial mathematics.
PLO8: Master knowledge of statistics and databases to collect, process and analyze data collected for experimental research in the fields of agriculture, economy, society, medicine, and so on;
PLO9: Master the knowledge of building mathematical models as the foundation for solving forecasting problems for many different fields, drawing up decisions related to business strategies and policies in socioeconomic development.
PLO10: Master knowledge of Numerical analysis, programming languages, computing bases in mathematical software (SPSS, R, Matlab, Maple,...) and the ability to program and solve practical problems, which have multiparameter, big data and multidimension.
2.2 Skills
2.2.1 Hard skills
PLO11: Modeling the problems posed by reality in the fields of science and technology, economics, life ... From there, make forecasts for models.
PLO12: Collect secondary and primary data, analyze metrics, use basic and indepth statistics for evaluation.
PLO13: Build algorithms, computer programs, use mathematical software (Matlab, Maple,..) and statistical software (SPSS, R, ...) to solve the problem of computing and processing statistics.
2.2.2 Soft skill
PLO14: Use foreign languages effectively in communication and scientific research.
PLO15: Proficient in applied informatics, application of information technology and modern means in research.
PLO16: Form teamwork skills to promote coordination and strengthen critical ability.
PLO17: Forming communication skills; presenting electronically, using different forms of electronic communication (email, website, online seminars) to adapt to the working environment outside of society.
2.3 Attitudes/ Selfcontrol and individual responsibility
PLO18: Maintain confidence, enthusiasm, passion, adapt to change, work independently, be willing to work with others, consider and accept other perspectives. Always build a professional image at work.
PLO19: Adhere to the professional ethics of your profession, be aware of the position, the importance of your standards and ethical principles, have a proper attitude to your mistakes.
PLO20: Form a sense of lifelong learning, always update information in your specialized field to have attitudes as well as handle changes, update in a suitable and effective way.
3. Job position:
 Statistical analysts and processors at statistics departments, banks, insurance companies, data processing companies;
 Experts in charge of synthesis, statistics and scientific research in state agencies;
 Researchers at centers and research institutes in Mathematics;
 Lecturers at colleges and universities
4. Ability to study, improve level after graduation
 Meet the requirements of studying at postgraduate levels in the fields of Mathematics Statistics, Analysis, Methods of Teaching Mathematics and Economics Mathematics.
 Conducting indepth specialized studies on probability and statistics
5. Refer to when developing a training program
 National: Applied Mathematics programme of Hue University, Vinh University, Saigon University, Academy of Science and Technology.
 International: Applied Mathematics programme of Yale University (USA), University of Colorado (USA), University of Auckland (New Zealand).
6. Programme
No. 
Code 
Course Title 
Credits 
Required 
Elective 
Lecture 
Lab 
Prerequisite 
Parallel course 
Semester 
General education knowledge 

1 
QP006 
National Defense Education – Security 1 (*) 
2 
2 

30 

Arranged by major 

2 
QP007 
National Defense Education – Security 2 (*) 
2 
2 

30 

Arranged by major 

3 
QP008 
National Defense Education – Security 3 (*) 
3 
3 

20 
65 
Arranged by major 

4 
QP009 
National Defense Education – Security 4 (*) 
1 
1 

10 
10 
Arranged by major 

5 
TC100 
Physical Education 1+2+3 (*) 
1+1+1 

3 

90 


I,II,III 
6 
XH023 
Basic English Course 1 (*) 
4 

10 credits for English or French 
60 



I,II,III 
7 
XH024 
Basic English Course 2 (*) 
3 

45 

XH023 

I,II,III 

8 
XH025 
Basic English Course 3 (*) 
3 

45 

XH024 

I,II,III 

9 
XH031 
Level B2 English 1 (*) 
4 

60 

XH025 

I,II,III 

10 
XH032 
Level B2 English 2 (*) 
3 

45 

XH031 

I,II,III 

11 
XH033 
Level B2 English 3 (*) 
3 

45 

XH032 

I,II,III 

12 
FL001 
Basic French Course 1 (*) 
4 

60 



I,II,III 

13 
FL002 
Basic French Course 2 (*) 
3 

45 

FL001 

I,II,III 

14 
FL003 
Basic French Course 3 (*) 
3 

45 

FL002 

I,II,III 

15 
FL007 
Intensive French 1 (*) 
4 

60 

FL003 

I,II,III 

16 
FL008 
Intensive French 2 (*) 
3 

45 

FL007 

I,II,III 

17 
FL009 
Intensive French 3 (*) 
3 

45 

FL008 

I,II,III 

18 
TN033 
Basic informatics (*) 
1 
1 

15 



I,II,III 
19 
TN034 
Basic informatics in lab (*) 
2 
2 


60 

TN033 
I,II,III 
20 
ML014 
Marxist – Leninist Philosophy 
3 
3 

30 



I,II,III 
21 
ML016 
Marxist – Leninist Polotical Economy 
2 
2 



ML014 


22 
ML018 
Scientific Socialism 
2 
2 

45 

ML016 

I,II,III 
23 
ML019 
History of the communist party of Vietnam 
2 
2 

30 

ML018 

I,II,III 
24 
ML021 
Ho Chi Minh’s thought 
2 
2 

45 

ML019 

I,II,III 
25 
KL001 
General law 
2 
2 

30 



I,II,III 
26 
ML007 
General logic 
2 

2 
30 



I,II,III 
27 
XH028 
Overview of Sociology 
2 

30 



I,II,III 

28 
XH011 
Basic Vietnamese culture 
2 

30 



I,II,III 

29 
XH012 
Vietnamese in use 
2 

30 



I,II,III 

30 
XH014 
General management documents and archives 
2 

30 



I,II,III 

31 
KN001 
Transferable skills 
2 

20 
20 


I,II,III 

32 
KN002 
Entrepreneurship and innovation 
2 

20 
20 


I,II,III 

33 
TN195 
Basics of C programming 
3 
3 

30 
30 
TN033 

I,II,III 
34 
TN100 
Research Mehthodology 
2 
2 

30 



I,II,III 
35 
SP304 
Linear programming 
2 
2 

30 



I,II,III 
36 
TN347 
Discrete Mathematics 
3 
3 

45 



I,II,III 
Total: 49 credits (Required: 34 credits; Elective: 15 credits) 

Basic professional knowledge 

37 
TN188 
Analysis 1 
3 
3 

45 



I,II 
38 
TN156 
Analysis 2 
3 
3 

45 

TN188 

I,II 
39 
TN157 
Analysis 3 
3 
3 

45 

TN156 

I,II 
40 
TN158 
Linear algebra and analytic geometry 1 
2 
2 

30 



I,II 
41 
TN220 
Linear algebra and analytic geometry 2 
3 
3 

45 

TN158 

I,II 
42 
TN160 
General algebra 
3 
3 

45 

TN220 

I,II 
43 
TN440 
Probability and statistic 
4 
4 

60 



I,II 
44 
TN162 
Ordinary differential equations 
3 
3 

45 

TN156 

I,II 
45 
TN189 
Complex analysis 
3 
3 

45 

TN156 

I,II 
46 
TN344 
Numerical analysis 
3 
3 

45 

TN156 

I,II 
47 
TN464 
Real analysis 
3 
3 

45 

TN156 

I,II 
48 
TN191 
Functional analysis 
3 
3 

45 



I,II 
49 
TN164 
Measure and integral theory 
3 
3 

45 

TN157 

I,II 
50 
TN169 
English for statistical mathematics 
2 

2 
30 

XH024 

I,II 
51 
XH019 
French for Science and Technology 
2 

30 

XH006 

I,II 

Total: 41 credits (Requỉed: 39 credits; Elective: 2 credits) 

Professional knowledge 

52 
TN372 
Mathematical models 
3 
3 

45 

TN156 

I,II 
53 
TN368 
Advanced statistics 
3 
3 

45 

TN440 

I,II 
54 
TN346 
Analysis of statistical data 
3 
3 

45 

TN440 

I,II 
55 
TN426 
Applications of informatics in mathematics 
3 
3 

30 
30 
TN440 

I,II 
56 
TN355 
Bayes statistics 
3 
3 

45 

TN440 

I,II 
57 
TN441 
Multidimensional statistics 
3 
3 

30 
30 
TN440 

I,II 
58 
TN170 
Field trip 
1 
1 


30 


I,II 
59 
TN370 
Advanced probability 
3 
3 

45 

TN440 

I,II 
60 
TN442 
Random process 
3 
3 

45 

TN440 

I,II 
61 
TN472 
Applied statistics 
3 
3 

30 
30 
TN440 

I,II 
62 
TN358 
Time series analysis 
2 
2 

30 

TN440 

I,II 
63 
TN443 
Socioeconomic statistics 
3 

11 
30 
30 
TN440 

I,II 
64 
TN462 
Seminar in Applied mathematics 
2 

30 

TN440 

I,II 

65 
TN467 
Statistics classification and discriminant 
3 

45 

TN440 

I,II 

66 
TN369 
Statistics forecast 
3 

45 

TN440 

I,II 

67 
TN251 
Limit theorems of probaility theory 
3 

45 

TN440 

I,II 

68 
TN255 
Seminars on probability theory 
2 

30 

TN440 

I,II 

69 
CT177 
Data structures 
3 

30 
30 


I,II 

70 
TN470 
Partial differential equations and apllications 
2 

30 

TN162 

I,II 

71 
TN201 
Image processing techniques 
2 

30 



I,II 

72 
TN360 
Graduation thesis 
10 

10 

300 
≥ 105 credits 

I,II 
73 
TN253 
Graduation assay 
4 


120 
≥ 105 credits 

I,II 

74 
TN254 
Introduction to Financial mathematics 
3 

45 

TN442 

I,II 

75 
KT320 
Economical Mathematics model 
3 

45 

TN156 

I,II 

76 
TN352 
Theory of nonlinear programming 
2 

30 

SP304 

I,II 

77 
TN354 
Algorithm of optimization 
2 

30 

SP304 

I,II 

78 
SG245 
Convex analysis 
2 

30 

TN156 

I,II 

79 
SP328 
Setvalued analysis 
2 

30 

TN157 

I,II 

80 
TN204 
Information system design 
3 

30 
30 


I,II 

81 
TN469 
Advanced numerical methods 
3 

45 

TN344 

I,II 

82 
TN278 
Dynamical systems 
3 

45 

TN156 

I,II 

Total: 51 credits (Required: 30 credits; Elective: 21 credits) 

Total: 141 credits (Required: 103 credits; Elective: 38 credits) 