Faculty of Mathematics and Statistics, Ton Duc Thang University, offers two undergraduate programs: Applied Mathematics, and Statistics. We also offer a Master program in Applied Mathematics.
Undergraduate Programs:
1. Applied Mathematics
- 1. Introduction
-
The Applied Mathematics program is designed to give students career opportunities in the field of mathematics or careers that require mathematical thinking. It provides students with basic and modern knowledge in mathematics and computer science, focusing on equipping students with mathematical modeling skills and practical problem solving methods.
- 2. Programme Specifications
-
CURRICULUM
APPLIED MATHEMATICS
MAJOR ID: 7460112
STANDARD ADMISSION PROGRAM FROM 2022
(Issued together with Decision No. 2876/QD-TDT dated October 5, 2022 of the President of Ton Duc Thang University)
1. Awarding Institution: Ton Duc Thang University
2. Name of Programme: Applied Mathematics
3. Mã ngành (Programme code):7460112
4. Training Degree – Training time: Bachelor –4 years
5. Mode of study : Regular
6. Admission criteria: Candidates who have graduated from high school or equivalent are eligible for admission according to the regular university admission regulations of Ton Duc Thang University and the admission regulations of the Ministry of Education and Training.
7. Programme Educational Objectives (PEOs):
3-5 years after graduating from the Applied Mathematics training program at Ton Duc Thang University, graduates will achieve the following competencies:
No.
Description of PEOs
1
PEO1: Have professional capacity with foreign language and computer skills, and knowledge of economics, politics, and law suitable to social requirements.
2
PEO2: Ability to apply specialized knowledge and mathematical thinking skills to solve problems related to the field of applied mathematics.
3
PEO3: Will become a core force in the fields of Applied Mathematics with good moral qualities and professional skills, vocational skills, and soft skills.
4
PEO4: Pursue scientific research approaches that lead to further research in applied areas of mathematics.
5
PEO5: Demonstrate awareness and ability for self-study and lifelong learning.
8. Programme learning outcomes (PLOs):
After completing the Applied Mathematics training program at Ton Duc Thang University, students must achieve:
No
Sort by (group of) Capacity
Description of PLOs
Scale
1
General knowledge
PLO1: Apply basic knowledge of economics, politics, law and informatics to study and research in applied mathematics fields.
Achieve subjects according to the correlation matrix of PLO1 in the training program.
Have a certificate of National Defense Education2
PLO2:Use foreign languages fluently for study, research and work.
Achieve subjects according to the correlation matrix of PLO2 in the training program. Have IELTS certificate 5.0 or equivalent.
3
Specialized knowledge
PLO3: Apply basic mathematical knowledge to serve learning, research and working in applied mathematical fields.
Achieve subjects according to the correlation matrix of PLO3, PLO4, PLO5, PLO6, PLO7, PLO8, PLO9 in the training program. Pass the professional practice skills exam.
4
PLO4: Demonstrate a deep understanding of specialized knowledge and apply this knowledge to solve related problems.
5
PLO5: Apply mathematical methods and models to solve problems arising in practice.
6
PLO6: Solve basic problems in the field of expertise.
7
PLO7: Analyze practical problems and mathematically model them into specific problems that need to be solved..
8
PLO8: Evaluate the effectiveness of methods and results achieved in solving applied problems.
9
PLO9: Demonstrate research ability in the field of theoretical mathematics or applied mathematics.
10
General skills
PLO10: Demonstrate analytical skills, logical thinking and problem solving, independent and teamwork skills.
Achieve subjects according to the correlation matrix of PLO10 in the training program.
Participate and achieve topics of the course on essential skills for sustainable development.11
Social attitudes and awareness
PLO11: Demonstrate responsibility, hard work, honesty, professional ethics, and dedication.
Achieve subjects according to the correlation matrix of PLO11, PLO12 in the training program. Achieve training points according to the student work regulations.
12
PLO12: Demonstrate a passion for self-study and research to improve knowledge, expertise, and passion for entrepreneurship.
9. Programme structure
Content
Credits
Total
Mandatory
Elective
General Knowledge
27
27
0
Political theory
11
11
0
Social science
2
2
0
Natural Science
0
0
0
Foreign language
10
10
0
Support skills
4
4
0
Specialized Knowledge
104
89
15
Basic knowledge
32
32
0
Specialized knowledge
63
54
9
Internship and graduation knowledge
9
3
6
Total bachelor's degree (level 6)
131
116
15
10. Programme content and teaching plans
Appendix 1 attached
11. Progression points:
Students must meet the graduation requirements according to the regulations on organization and training of university level according to credits of Ton Duc Thang University:
Complete the subjects and achieve the number of credits according to the program requirements;
International English certificate IELTS 5.0 or other equivalent certificates;
Achieve the training score according to the program requirements;
Achieve the output standards of the training program.
12. Special features
- The Applied Mathematics major not only provides students with modern mathematical knowledge, but also equips students with some basic calculation skills, trains logical thinking, analytical ability, solves practical problems quickly and effectively at work and other soft skills.
- Students experience the real working environment outside the school through the vocational internship course; participate in workshops and seminars in fields related to the Applied Mathematics major.
- Some subjects in the program are taught by foreign professors.
- At least 10% of specialized subjects are taught in English.
- The training program is interconnected with the Faculty's postgraduate programs.
13. Job opportunities
- Bachelor of Applied Mathematics graduates have the ability to work in fields such as quantitative finance, insurance analysis, data analysis for economic sectors and have the opportunity to work in all socio-economic sectors that require mathematical thinking or participate in teaching Mathematics - Information Technology at all levels.
- Have the opportunity to study postgraduate at training institutions in and outside the country.
14. Mapping of Programme Learning Outcomes to Courses: Appendix 2 attached
15. Guidance on implementing training programs and ensuring training quality
15.1 Training plan:
The Bachelor's program is designed for 4 years of study and will be divided into 8 semesters.
Students must accumulate 105 credits to do the Graduation Thesis or study a subject to replace the Graduation Thesis
Based on the standard training plan of the program, students can proactively build a study plan suitable to their abilities to achieve the best learning and training results.
15.2 Conditions to ensure training
Facilities, technology and learning materials: The training program is organized at the School with the requirement of ensuring the conditions of facilities, technology and learning materials to meet the implementation of the program; at least there must be a system of classrooms, equipment for practice, experiments, information technology, library, learning materials, learning support management system, training management according to the requirements of the major/group of majors to help learners achieve the output standards of the training program.
Teaching staff:
The teaching staff is Professors, Associate Professors, PhDs, Masters with prestige and rich teaching experience. There is at least 01 PhD in the appropriate field to preside over the organization and implementation of the program and there are at least 05 PhDs with appropriate expertise to preside over teaching the program. There is a sufficient number of lecturers to ensure that the ratio of students to lecturers does not exceed the prescribed level for the training major.
For subjects and topics with high practicality, the Faculty invites experts from agencies, research institutes, non-governmental organizations, enterprises, etc. to present and convey their experiences to students.
Curriculum: The curriculum has been designed by the Faculty's Science and Training Council and has been approved by the Rector. The curriculum will only be changed after receiving recommendations from the Faculty's Science and Training Council and the Rector's approval.
15.3 Training methods
The training program is organized according to the current regulations on organization and management of university-level training according to credits of Ton Duc Thang University.
Learners are exempted from subjects such as IT, English, or subjects completed in other training programs according to the regulations of the University. Registration for subjects in each semester must ensure the requirements of the subjects specified in the training program framework, English academic regulations and other relevant regulations.
Teaching method: Teaching method follows a learner-centered approach and the subject of the training process, promoting learners to be proactive and make efforts to participate in learning activities; effectively orienting learners to achieve the output standards of each subject, each component and the entire training program. Improving learners' self-study and research capacity; Strengthening teaching combining theory and practice, promoting the application of knowledge into practice, combining many flexible forms of teaching organization such as group work, discussion, presentation; promoting teaching combined with businesses, scientific research.
Assessment methods: diversify assessment forms to suit the output standards of the subject; Assessment of learners' learning outcomes must be based on process assessment and final assessment; as a basis for timely adjustment of teaching and learning activities.
Teaching and assessment methods are specifically shown in the detailed outline, subject records and the lecturer informs the learners in the first lesson.
15.4 Program Evaluation
The program is designed in a single-disciplinary style.
The program is designed in comparison with the training programs of prestigious universities in the world with adjustments to suit the educational conditions and career needs in Vietnam.
The program is evaluated according to the school's training program evaluation process, feedback from employers, alumni, experts and accreditation organizations in the world.
- 3. Programme Learning Outcomes
-
No.
Descriptions
1
Apply basic knowledge of economics, politics, law and informatics to study and research in the fields of applied mathematics.
2
Use foreign languages fluently for study, research and work.
3
Apply basic mathematical knowledge for learning, doing research and working in the fields of applied mathematics.
4
Demonstrate an in-depth understanding of specialized knowledge and apply this knowledge in solving related problems.
5
Apply mathematical methods and models to solve real-life problems.
6
Solve basic problems in the field of expertise.
7
Analyze real-world problems and mathematically model them into specific problems to be solved.
8
Evaluate the effectiveness of methods and results achieved in solving applied problems.
9
Demonstrate research ability in the field of pure or applied mathematics.
10
Demonstrate analytical skills, logical thinking and problem solving, independent and team work skills.
11
Demonstrate a sense of responsibility, hard work, honesty, professional ethics and dedication.
12
Demonstrate a passion for self-study to improve knowledge and expertise, and a passion for entrepreneurship.
- 4. Jobs Opportunities
-
Upon successful completion of the Applied Mathematics program, students may undertake the following positions:
Teach mathematics in colleges. Participate in building algorithms for application software. Use mathematical models to analyze data for evaluation and forecasting; analyze and assess statistical data as well as supply and demand of the market;... Work in quantitative finance, analyze and estimate insurance premiums, analyze data for economic sectors, stock companies, investment funds, credit institutions, banks.- Professional knowledge and skills: having skills in mathematical modeling for practical mathematical problems, computational skills, and computer programming skills for solving numerical problems and explaining results.
2. Statistics
- 1. Introduction
-
The undergraduate programme in Statistics at Ton Duc Thang University equips students with basic knowledge and skills related to probability, mathematical statistics, data analysis and statistical computing. With the rapid development of big data and data science, the demand for these skills has increased significantly. Bachelor of Statistics has the ability to handle problems related to data collection, synthesis and analysis, as well as the ability to build statistical forecasting models.
The academic staff for the programme graduated from prestigious universities at home and abroad, have good capacity in teaching and scientific research, and have a lot of practical working experience.
In addition to learning professional knowledge and skills, students studying the undergraduate programme in Statistics are also trained and nurtured with many essential skills for sustainable development, such as self-study skills, team building and leadership skills, presentation skills, critical thinking, etc. Students experience the real working environment at businesses through the internship graduation course. In addition, students are trained in the spirit of the collective and community through many meaningful activities of the youth union and student association.
- 2. Programme Specifications
-
UNDERGRADUATE PROGRAMME IN STATISTICS
PROGRAMME CODE: 7460201
1. Awarding institution: Ton Duc Thang University
2. Name of programme: Statistics
3. Programme code:7460201
4. Training degree: Bachelor –Training time: 4 years
5. Mode of study: Regular
6. Admission criteria:
Candidates who graduate from high school or equivalent are eligible for admission according to the full-time university admission regulations of Ton Duc Thang University and the admission regulations of the Ministry of Education and Training.
7. Programme educational objectives:
- Having wide and deep professional competences to be able to apply statistics to the fields of science, technology, economy and society;
- Master professional skills, soft skills to become a core force in the field of statistics;
- Show good working spirit and high responsibility, have good communication skills, have a sense of learning, research to improve knowledge, have good ethical qualities, be honest in work and research.
8. Programme learning outcomes:
* General knowledge:
Apply knowledge of nature, society, politics, law, information technology and foreign languages to the study, research and application of statistics systematically.
* Professional knowledge:
Apply specialized knowledge related to statistics.
* Professional skills:
- Analyze problems arising from reality which needs statistics to give suitable statistical methods.
- Establish statistical investigation plans.
- Evaluate suitability and confidence of statistical methods based on analyzed results.
- Develop the ability to search, collect data and research in the field of statistics or in statistical applications.
* General skills:
Display analytical skills, logical thinking and problem solving, independent and team work skills, communication and problem reviewing skills.
* Attitude and awareness:
- Display the spirit of hard work, honesty associated with high responsibility, dedication spirit.
- Display passion for self-study, self-study to improve knowledge and expertise, passion for start up.
9. Programme structure:
Content
Number of credits
Total
Mandatory
Elective
A. General education knowledge
27
27
0
(A.1) Political philosophy
11
11
0
(A.2) Social sciences
2
2
0
(A.3) Natural sciences
0
0
0
(A.4) Foreign languages
10
10
0
(A.5) Support skills
4
4
0
(A.6) Physical education
0
0
0
(A.7) National defense education
0
0
0
B. Professional education knowledge
98
83
15
(B.1) Fundamental knowledge
32
32
0
(B.2) Industry knowledge
66
51
15
(B.2.1) General industry knowledge
30
30
0
(B.2.2) Specialized industry knowledge
36
21
15
(B.2.2.1) Internship knowledge and professional skills
5
5
0
(B.2.2.2) Graduation thesis (or alternative graduation courses)
6
0
6
Total
125
110
15
10. Programme content and teaching plan:
* Programme content:
No.
Course code
Course name
Number of credits
Semester
A. General Education Knowledge
A.1 Political Philosophy
11
1
306102
Philosophy of Marxism and Leninism
3
2
2
306103
Political Economics of Marxism and Leninism
2
3
3
306104
Scientific Socialism
2
4
4
306105
History of Vietnamese Communist Party
2
6
5
306106
Ho Chi Minh Ideology
2
5
A.2 Social Sciences
2
6
302053
Introduction to Laws
2
4
A.4 Foreign Languages
10
7
P15001
English 1
5
2
8
P15002
English 2
5
3
9
P15C50
English certificate IELTS 5.0
0
4
A.5 Support Skills
4
10
L00019
Essential Skills for Sustainable Development - Life Attitude 1
0
1
11
L00033
Essential Skills for Sustainable Development - Life Attitude 2
0
3
12
L00041
Essential Skills for Sustainable Development - Life Attitude 3
0
5
13
L00050
Essential Skills for Sustainable Development
4
6
Selective Group for Essential Skills for Sustainable Development
0
14
L00052
Essential Skills for Sustainable Development - Self-Study Skills
0
4
15
L00044
Essential Skills for Sustainable Development - Team Building and Leadership Skills
0
4
16
L00045
Essential Skills for Sustainable Development - Presentation Skills
0
4
17
L00046
Essential Skills for Sustainable Development - Critical Thinking
0
4
18
L00047
Essential Skills for Sustainable Development - 5S and Kaizen Skills
0
6
19
L00048
Essential Skills for Sustainable Development – Decision-Making Skills
0
6
20
L00049
Essential Skills for Sustainable Development - Constructing Emotional Quotient
0
6
21
L00051
Essential Skills for Sustainable Development - Startup
0
6
A.6 Physical Education
0
22
D01001
Swimming
0
1
Selective Group for Physical Education 1
0
23
D01101
Physical Education 1 - Football
0
2
24
D01102
Physical Education 1 - Taekwondo
0
2
25
D01103
Physical Education 1 - Volleyball
0
2
26
D01104
Physical Education 1 - Badminton
0
2
27
D01105
Physical Education 1 - Aerobic
0
2
28
D01106
Physical Education 1 - Tennis
0
2
29
D01120
Physical Education 1 - Fitness
0
2
30
D01121
Physical Education 1 - Hatha Yoga
0
2
Selective Group for Physical Education 2
0
31
D01201
Physical Education 2 - Karate
0
3
32
D01202
Physical Education 2 - Vovinam
0
3
33
D01203
Physical Education 2 - Vietnamese Traditional Martial Art
0
3
34
D01204
Physical Education 2 - Basketball
0
3
35
D01205
Physical Education 2 - Table Tennis
0
3
36
D01206
Physical Education 2 - Action Chess
0
3
37
D01220
Physical Education 2 - Field Hockey
0
3
A.7 National Defense Education
0
38
D02031
National Defense and Security Education - 1st Course
0
1
39
D02032
National Defense and Security Education - 2nd Course
0
1
40
D02033
National Defense and Security Education - 3rd Course
0
1
41
D02034
National Defense and Security Education - 4th Course
0
1
B. Professional Education Knowledge
B.1 Fundamental Knowledge
32
42
C01126
Discrete Mathematics
3
1
43
C01132
Calculus 1
4
1
44
C01133
Calculus 2
3
2
45
C01146
Calculus 3
4
3
46
C03003
Linear Algebra 1
3
1
47
C03008
Linear Algebra 2
3
4
48
C01137
Introduction to Informations
4
1
49
C01135
Introduction to Programming
4
2
50
C03104
Introduction to Statistics
4
2
B.2 Industry Knowledge
66
B.2.1 General Industry Knowledge
30
51
C03030
Database
4
3
52
C03105
Probability
4
3
53
C03106
Inferential Statistics
4
4
54
C03021
Stochastic Processes
3
4
55
C03020
Sampling Methods
3
5
56
C03107
Statistical Computing
4
5
57
C03109
Multivariate Statistics
4
5
58
C03108
Econometrics
4
6
B.2.2 Specialized Industry Knowledge
36
59
C03044
Data Analysis
4
5
60
C03043
Forecasting
4
6
61
C03031
Bayesian Statistics
4
7
62
C03102
Applied Statistical Methods 1
4
6
Elective Group 1
9
63
C02045
Writing Scientific Documents Using Latex
2
7, 8
64
C03022
Data Mining
3
7, 8
65
C03032
System of National Accounts
3
7, 8
66
C03037
Experimental Design
3
7, 8
67
C03051
Introduction to Nonparametric Estimation
3
7, 8
68
C03052
Theory of Testing Hypotheses
3
7, 8
69
C03110
General Linear Models
3
7, 8
70
C03054
Statistical Pattern Recognition
4
7, 8
71
C03111
Actuarial Mathematics
3
7, 8
72
C03112
Machine Learning
4
7, 8
B.2.2.1 Internship Knowledge and Professional Skills
5
73
C03046
Applied Statistical Methods 2
4
7
74
C03CM6
Professional Skills Exam
1
7
B.2.2.2 Graduation Elective Knowledge
6
Graduation Thesis
6
75
C03113
Graduation Thesis
6
8
Alternative Graduation Courses
6
76
C03114
Statistics for Enterprises
3
8
77
C02043
Basic Financial Mathematics
3
8
* Teaching plan:
Semester 1
No.
Course code
Course name
Mandatory course
Number of credits
1
L00019
Essential Skills for Sustainable Development - Life Attitude 1
X
0
2
D01001
Swimming
X
0
3
D02031
National Defense and Security Education - 1st Course
X
0
4
D02032
National Defense and Security Education - 2nd Course
X
0
5
D02033
National Defense and Security Education - 3rd Course
X
0
6
D02034
National Defense and Security Education - 4th Course
X
0
7
C01126
Discrete Mathematics
X
3
8
C01132
Calculus 1
X
4
9
C01137
Introduction to Informations
X
4
10
C03003
Linear Algebra 1
X
3
Total
14
Semester 2
No.
Course code
Course name
Mandatory course
Number of credits
1
306102
Philosophy of Marxism and Leninism
X
3
2
P15001
English 1
X
5
3
C01133
Calculus 2
X
3
4
C01135
Introduction to Programming
X
4
5
C03104
Introduction to Statistics
X
4
6
21123_220C03
Physical education elective group 1
0
Total
19
Semester 3
No.
Course code
Course name
Mandatory course
Number of credits
1
306103
Political Economics of Marxism and Leninism
X
2
2
P15002
English 2
X
5
3
L00033
Essential Skills for Sustainable Development - Life Attitude 2
X
0
4
C01146
Calculus 3
X
4
5
C03030
Database
X
4
6
C03105
Probability
X
4
7
21124_220C03
Physical education elective group 2
0
Total
19
Semester 4
No.
Course code
Course name
Mandatory course
Number of credits
1
306104
Scientific Socialism
X
2
2
P15C50
English certificate IELTS 5.0
X
0
3
302053
Introduction to Laws
X
2
4
C03008
Linear Algebra 2
X
3
5
C03021
Stochastic Processes
X
3
6
C03106
Inferential Statistics
X
4
7
21134_220C03
Elective group [Essential Skills for Sustainable Development]
0
Total
14
Semester 5
No.
Course code
Course name
Mandatory course
Number of credits
1
306106
Ho Chi Minh Ideology
X
2
2
L00041
Essential Skills for Sustainable Development - Life Attitude 3
X
0
3
C03020
Sampling Methods
X
3
4
C03107
Statistical Computing
X
4
5
C03109
Multivariate Statistics
X
4
6
C03044
Data Analysis
X
4
Total
17
Semester 6
No.
Course code
Course name
Mandatory course
Number of credits
1
306105
History of Vietnamese Communist Party
X
2
2
L00050
Essential Skills for Sustainable Development
X
4
3
C03108
Econometrics
X
4
4
C03043
Forecasting
X
4
5
C03102
Applied Statistical Methods 1
X
4
6
21135_220C03
Elective group [Essential Skills for Sustainable Development]
0
Total
18
Semester 7
No.
Course code
Course name
Mandatory course
Number of credits
1
C03031
Bayesian Statistics
X
4
2
C03046
Applied Statistical Methods 2
X
4
3
C03CM6
Professional Skills Exam
X
1
4
21130_220C03
Elective group 1
6
Total
15
Semester 8
No.
Course code
Course name
Mandatory course
Number of credits
1
21130_220C03
Elective group 1
X
3
2
Graduation thesis or alternative graduation courses
X
6
Total
9
11. Progression points:
Students must meet graduation conditions according to regulations on organization and training of university degrees according to the credit system of Ton Duc Thang University:
- Complete the subjects and achieve the number of credits required by the programme;
- International English certificate IELTS 5.0 or other equivalent certificates;
- Achieve training points according to program requirements;
- Achieve the requirements according to the standards of knowledge and skills specified in the training program, soft skills, and professional practice skills.
12. Special features:
- Academic staff with master's degrees or higher, highly skilled and specialized;
- Training is held at the school's headquarters with equipment that meets modern teaching methods;
- Some courses in the programme can be taught by foreign professors collaborating with the Faculty if conditions allow;
- Students have the opportunity to experience a real working environment through the vocational internship module;
- Students can register to do the graduation thesis (if they meet all the related conditions) or take some alternative subjects for the graduation thesis.
13. Job opportunities:
Graduates will have job opportunities in the following positions:
- Statistics experts at state administrative agencies, insurance, securities, finance companies or businesses with statistical applications in production and business activities.
- Teaching and research staff at colleges, universities, and research institutes.
- 3. Programme Learning Outcomes
-
No.
Descriptions
1
Apply knowledge of nature, society, politics, law, information technology and foreign languages to the study, research and application of statistics systematically.
2
Apply specialized knowledge related to statistics.
3
Analyze problems arising from reality which needs statistics to give suitable statistical methods.
4
Establish statistical investigation plans.
5
Evaluate suitability and confidence of statistical methods based on analyzed results.
6
Develop the ability to search, collect data and research in the field of statistics or in statistical applications.
7
Display analytical skills, logical thinking and problem solving, independent and team work skills, communication and problem reviewing skills.
8
Display the spirit of hard work, honesty associated with high responsibility, dedication spirit.
9
Display passion for self-study, self-study to improve knowledge and expertise, passion for start up.
- 4. Job Opportunities
-
Bachelor of Statistics can work in many of the following job positions:
- Statistical operations at state statistical units in Vietnam, such as the general statistics office of Vietnam, the statistical offices of provinces and centrally run cities, and the statistical offices of districts, towns, and cities;
- Synthesizing, reporting, and analyzing statistics on socio-economic indexes at departments, branches, and sectors at all levels of government from central to local;
- Data analysis specialists at market research, insurance, securities, and financial companies;
- Teaching courses on statistics and probability at universities, colleges, and vocational schools in the Vietnamese education and training system;
- In addition, with the expertise in collecting, analyzing, and reporting statistical data learned, graduates have the flexibility to adapt to other jobs in many socio-economic fields.
In the 4th Industrial Revolution, Statistics is considered one of the key majors with great employment potential. Recent survey results show that 100% of Statistics graduates from TDTU find jobs within 12 months of graduation.