I- Master of Science in Applied Mathematics (MSAM)
- 1. Introduction
-
Master of Science in Applied Mathematics (MSAM) provides students with intensive knowledge of mathematics; ability to think creatively and independently to solve scientific and technological problems in the field of applied mathematics; construct mathematical models, use mathematical software to solve practical problems; mastering the research method to continue academic careers.
- 2. Programme Specifications
-
1. Awarding Institution: Ton Duc Thang University
2. Name of Programme: Applied Mathematics
3. Programme Code: 8460112
4. Training Degree: Master
- Title in English: Master of Science in Applied Mathematics
5. Mode of Study - Training Time
- Mode of Study: Formal – Training time: 24 months
6. Instruction language: Vietnamese and English
7. Programme Educational Objectives
After graduating from the Master Program in Applied Mathematics of Ton Duc Thang University, graduated students will be able to:
No.
Programme Educational Objectives (PEOs)
1
Apply interdisciplinary knowledge and in-depth mathematical theory systematically to
serve professional activities in the field of Applied Mathematics.
2
Solve complex problems related to the field of Applied Mathematics effectively, creatively and scientifically.
3
Have the ability to self-direct and be aware of self-study and lifelong learning to pursue independent research in the field of Applied Mathematics.
8. Programme learning outcomes
At the completion of the training program in Applied Mathematics at Ton Duc Thang University, graduated students will be able to:
No.
Sort by (group of) Capacity
Expected Learning Outcomes (PLOs)
1
General and interdisciplinary knowledge
Proficient in using foreign languages, general knowledge and interdisciplinary knowledge for work and research.
2
Specialized knowledge
Apply in-depth and advanced mathematical knowledge to give professional conclusions that are applicable to organizations and businesses.
3
Analytical, evaluation and problem solving skills
Analyze and synthesize data to discover and solve applied mathematics problems that business organizations are interested in.
4
Evaluate the effectiveness of methods and results achieved in solving applied problems.
5
Scientific research skills
Demonstrate the ability to do scientific research and apply scientific research results effectively into practice.
6
Organizational and management skills
Have the ability to think systematically to work independently, in groups, and to organize and manage professional activities.
7
Social attitudes and awareness
Demonstrate a high sense of responsibility at work, have working ethics, a spirit of dedication and the ability to adapt to a dynamic working environment.
8
Develop a passion for self-study, self-research, and lifelong learning, thereby generating new initiatives and results to improve professional activities.
9. Admission Criteria
9.1 Admission Method
Entrance examination or a combination of entrance examination and examination are determined in the University's annual Master's Degree Admission Scheme.
9.2 Diploma Requirements
Applicants must meet one of the following conditions:
Graduated from university with a good grade or higher or met the conditions for recognition of a university graduation with a good grade (equivalent degree or above) in a relevant major (Appendix 1) to the field of application. Graduated from university or have met the conditions for recognition of university graduation (or equivalent degree or above) in a relevant major (Appendix 1) with the field of application and have scientific publications related to the field of study and research within 3 years (36 months) up to the date of completing the application file. For a major that is relevant to the field of application, they must complete the requirements for additional knowledge before applying (Appendix 1).
9.3 Language Proficiency Requirements
Applicants must meet the language proficiency requirements for the master's degree program according to the current Master's degree admissions and training regulations of Ton Duc Thang University.
9.4 Other Requirements
Applicants must meet other requirements of the training program standards issued by the Ministry of Education and Training and in accordance with the University's regulations.
10. Programme Structure
Content
Credits
Total
Mandatory
Elective
General Knowledge
10
10
0
Specialized Knowledge
24
6
18
Scientific Research
12
3
9
Research Topics
9
0
9
Graduate-Oriented Research Topics
3
3
0
Graduate
15
15
0
Master's Thesis
15
15
0
Total
61
34
27
11. Programme content
Note:
1 credit = 15 periods of theory
= 30 periods of practice, experiment, or discussion
12. Progression Points
Students must meet the conditions for recognition of graduation and grant of a master’s degree according to the current Regulation on enrollment and training at the master’s level of Ton Duc Thang University and the specific requirements of the training program.
13. Special FeaturesThe Master’s Degree Program in Applied Mathematics equips students with mathematical thinking skill, independent and creative work skill, and the ability to detect and solve problems in the field of applied mathematics with a higher level of expertise, meeting the research needs as well as the students’ knowledge development requirements in the field of computational science or applied mathematics, with international integration capability.
The requirement to complete a Master’s Thesis and study research topics helps students develop scientific research skills and participate in scientific research.
-
Course code
Course name
(in Vietnamese)Course name
(in English)Total credits
Theory
Practice, laboratory, thesis
A. Mandatory general knowledge
10
SH700010
Triết học
Philosophy
3
3
0
Phương pháp nghiên cứu khoa học
Research Methodology
2
2
0
FL700020
Ngoại ngữ
Foreign Language
5
5
0
B. Mandatory specialized knowledge
9
MS701010
Giải tích hàm nâng cao
Advanced Functional Analysis
3
3
0
MS701020
Đại số tuyến tính nâng cao
Advanced linear algebra
3
3
0
MS701990
Chuyên đề nghiên cứu
định hướng tốt nghiệp
Graduate-Oriented Research Topics
3
0
3
C. Elective specialized knowledge (choose a minimum of 3 research topics equivalent to 9 credits)
27
MS701030
Toán rời rạc nâng cao
Advanced discrete mathematics
3
3
0
MS701040
Giải tích thực
Real Analysis
3
3
0
MS701050
Phương trình đạo hàm riêng
Partial Differential Equations
3
3
0
MS701070
Phương trình toán lý
Partial Differential Equations in Mathematical Physics
3
3
0
MS701080
Bài toán không chỉnh
Ill-Posed Problems
3
3
0
MS701100
Giải tích phức
Complex Analysis
3
3
0
MS701140
Giải tích số
Numerical Analysis
3
3
0
MS701150
Phương pháp phần tử hữu hạn
Finite Element Method
3
3
0
MS701160
Phương pháp sai phân hữu hạn
Finite Difference Method
3
3
0
MS701170
Phương pháp thể tích hữu hạn
Finite Volume Method
3
3
0
MS701180
Phương pháp toán trong xử lý ảnh số
Mathematical Methods for Digital Image Processing
3
3
0
MS701190
Tối ưu nâng cao
Advanced optimization
3
3
0
MS701210
Thống kê toán
Mathematical Statistics
3
3
0
MS701220
Lý thuyết thống kê nâng cao
Advanced Theory of Statistics
3
3
0
MS701230
Quá trình ngẫu nhiên
Stochastic processes
3
3
0
MS701240
Thống kê Bayes
Bayesian statistics
3
3
0
MS701250
Thống kê nhiều chiều
Multivariate statistics
3
3
0
MS701260
Mô hình toán tài chính
Models of Financial Mathematics
3
3
0
MS701270
Tin học ứng dụng
Applied informatics
3
3
0
MS701280
Lý thuyết đa thức và ứng dụng
Theory of Polynomials and Applications
3
3
0
MS701290
Phương trình hàm
Functional Equations
3
3
0
MS701300
Liên kết giữa hình học và đại số trong chương trình toán phổ thông
Relations between Geometry and Algebra in High School
3
3
0
MS701310
Ứng dụng của phương trình đại số trong hình học và lượng giác
Applications of Algebraic Equations in Geometry and Trigonometry
3
3
0
MS701320
Lý thuyết số
Number Theory
3
3
0
MS701330
Lý thuyết mã
Coding Theory
3
3
0
MS701370
Chuyên đề nghiên cứu về giải tích hàm ứng dụng
Advanced Topics in Applied Functional Analysis
3
3
0
MS701380
Chuyên đề nghiên cứu về giải tích số ứng dụng
Advanced Topics in Applied Numerical Analysis
3
3
0
MS701390
Chuyên đề nghiên cứu về thống kê tính toán
Advanced Topics in Computational Statistics
3
3
0
MS701400
Chuyên đề nghiên cứu về phương pháp toán sơ cấp
Advanced Topics in Methods of High School Mathematics
3
3
0
MS701470
Chuyên đề nghiên cứu về đại số ứng dụng
Advanced Topics in Applied Algebra
3
3
0
MS701420
Chuyên đề nghiên cứu về thuật toán tối ưu
Advanced Topics in Optimal Algorithms
3
3
0
MS701430
Các phép biến đổi tích phân nâng cao
Advanced Integral Transforms
3
3
0
MS701440
Vận trù học
Operations Research
3
3
0
MS701450
Dự báo
Time Series and Predictions
3
3
0
MS701460
Học máy thống kê
Statistical Machine Learning
3
3
0
D. Graduation
15
MS701000
Luận văn thạc sĩ
Master's Thesis
15
0
15
Total
61
d) Admission Criteria
* Admission Method
Entrance examination or a combination of entrance examination and examination are determined in the University's annual Master's Degree Admission Scheme.
* Diploma Requirements
Applicants must meet one of the following conditions:
+ Graduated from university with a good grade or higher or met the conditions for recognition of a university graduation with a good grade (equivalent degree or above) in a relevant major (Appendix 1) to the field of application.
+ Graduated from university or have met the conditions for recognition of university graduation (or equivalent degree or above) in a relevant major (Appendix 1) with the field of application and have scientific publications related to the field of study and research within 3 years (36 months) up to the date of completing the application file.
+For a major that is relevant to the field of application, they must complete the requirements for additional knowledge before applying (Appendix 1).
* Language Proficiency Requirements
+ Applicants must meet the language proficiency requirements for the master's degree program according to the current Master's degree admissions and training regulations of Ton Duc Thang University.
* Other Requirements
+ Applicants must meet other requirements of the training program standards issued by the Ministry of Education and Training and in accordance with the University's regulations.
- 3. Programme Learning Outcomes (PLOs)
-
No.
Descriptions
1
Proficient in using foreign languages, general knowledge and interdisciplinary knowledge for work and research.
2
Apply in-depth and advanced mathematical knowledge to give professional conclusions that are applicable to organizations and businesses.
3
Analyse and synthesize data to discover and solve applied mathematics problems that business organizations are interested in.
4
Evaluate the effectiveness of methods and results achieved in solving applied problems.
5
Demonstrate the ability to do scientific research and apply scientific research results effectively into practice.
6
Have the ability to think systematically to work independently, in groups, and to organize and manage professional activities.
7
Demonstrate a high sense of responsibility at work, have working ethics, a spirit of dedication and the ability to adapt to a dynamic working environment.
8
Develop a passion for self-study, self-research, and lifelong learning, thereby generating new initiatives and results to improve professional activities.
- 4. Job Opportunities
-
After graduating from the master’s degree program in Applied Mathematics, students will be able to:
+ Work in agencies that require analysis and establishment of mathematical models to solve real-world problems in the fields of science, engineering, industry, business, climate change, education, and society, etc.
+ Participate in doctoral programmes in applied mathematics in Vietnam and abroad.
+ Conduct research in scientific institutes, research centers, and universities.
+ Teach at colleges, universities, and research institutes, etc.
II - Programme 4+1 in Applied Mathematics
- 1. Training highlights
-
Master of Science in Applied Mathematics equips students with the ability to think mathematically, to work independently and creatively, and to discover and solve problems in the field of applied mathematics with a deeper level of expertise, meeting the research needs as well as the requirements for knowledge development of students in the field of computational science or applied mathematics, with the ability to integrate internationally.
- 2. Job position after graduation
-
After graduating from the Master's program in Applied Mathematics, students can:
−Work in organizations that require analysis and establishment of mathematical models to solve practical problems in science, engineering, industry, business, climate change, education, society, etc.
−Participate in doctoral programs in Applied Mathematics at home and abroad.
−Do research in scientific institutes, research centers and universities.
−Teach at colleges, universities, research institutes, etc. - 3. List of equivalent subjects
-
Students participating in the 4+1 program are considered for equivalent subjects according to the issued list, specifically as follows:
Course in Master Programme Course in Bachelor Programme No Course Code Course Title Credits Course Code Course Title Credits 1 MS701320 Number Theory
3 C02047 Elementary Number Theory 3 2 MS701160 Finite Difference Method
3 C02037 Advanced Numerical Analysis 3 3 MS701010 Advanced Functional Analysis 3 C01030 Advanced Functional Analysis 3 4 MS701020 Advanced Linear Algebra 3 C01031 Advanced Linear Algebra 3 5 MS701060 Integral Transforms 3 C02008 Integral Transforms 3 6 MS701040 Real Analysis 3 C03024 Real Analysis 3 7 MS701070 Equations in Mathematical Physics 3 C02039 Equations in Mathematical Physics 3 8 MS701280 Theory of Polynomials and Applications 3 C02048 Theory of Polynomials 3 - 4. Benefits of joining the programme 4+1
-
Only applicable to students studying at Ton Duc Thang University (TDTU). Simple admission process (no entrance exam), students are flexible in choosing the time to study and the subjects. Receive many scholarships from TDTU: from 25% to 50% of tuition fees. Shorten training time: 4+1 training = 5 years, receive 2 degrees (University and Master). Subjects are considered equivalent to reduce training volume and time (detailed list is presented in section 3). The timetable is arranged on weekends (Saturday afternoon + Sunday), suitable for students to ensure both the main program (University system) and to be able to participate in the 4+1 program. Subjects studied can be reserved for 5 years. Opportunity to participate in scientific seminars organized by the Faculty. Opportunity to exchange and study with international students. In addition, students have the opportunity to study and interact with foreign professors and participate in specialized talks.
- 5. Contact information
-
Department of Graduate Studies (Room B002)
Address: B002, Building B, No. 19 Nguyen Huu Tho, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam.
Facebook: https://www.facebook.com/sgs.tdtu Tel: +84-28-3775-5059
Hotline: 0944 314 466
Email: gradstudies@tdtu.edu.vn
Faculty of Specialization (Room C007)
Dr. Le Thi Ngoc Giau
Email: lethingocgiau@tdtu.edu.vn
Phone: (+84) 907122623
- 6. Conditions of participation
-
TDTU students take 02 general training courses (no requirements on learning outcomes):
1. Marxist-Leninist philosophy
2. Scientific research methods
TDTU students who have accumulated at least 100 credits (correct/appropriate major) are allowed to take up to 12 credits of postgraduate specialized training courses.
- 7. Implementation sequence
-
#
Stage
Job Description
Performers
Related Forms
1
TDTU students
1. Follow information and submit application for postgraduate training program (4+1):
+ Students follow information about opening courses in the 4+1 programme on the website of the Department of Graduate Studies and the specialized department;
+ Complete and submit the application for postgraduate training with confirmation from the specialized department and the Department of Graduate StudiesStudents, Department of Graduate Studies, specialized department
Application for postgraduate training program
(Form 4 at: http://grad.tdtu.edu.vn/dao-tao/bieu-mau-lien-quan-chuong-trinh-thac-si)
2. View schedule and pay tuition:
+ Students follow the official timetable on the website of the Department of Graduate Studies;
+ Students pay tuition fees according to the announcement of the Finance Department; (notification via student email)
+ Students submit a Course Cancellation Application to the Department Undergraduate Studies to cancel the equivalent course.Students, Department of Graduate Studies, Finance Department, Department of Undergraduate Studies
Tuition receipt
3. Organize teaching and learning according to the schedule announced by the Department of Graduate Studies
Specialized department, Students
Instructions for viewing timetables, exam schedules and scores for students studying postgraduate training
4.Apply for recognition of undergraduate courses (if applicable):
Students complete and submit an application for university course recognition for courses with equivalent exemptions according to school regulations.
Students, Department of Graduate Studies, Department of Undergraduate Studies
Application for recognition of university courses
(Form 26 at: http://grad.tdtu.edu.vn/dao-tao/bieu-mau-lien-quan-chuong-trinh-thac-si)
2
After graduation
5. Apply within 12 months of graduation:
+ Prepare documents to register for online admission;
+ Register online on the Ton Duc Thang University's postgraduate admissions page (on the website of the Admissions Department);
+ Submit 01 set of paper application documents after successfully registering online at the Admissions Department;
+ Pay the admission fee at the Finance Department.Students after graduation,Department of Graduate Studies, Finance Department
+ Documents to apply online:
- 01 portrait photo file (3 x 4);- 01 scanned file of university diploma (save as pdf);
- 01 scanned file of university transcript (save as pdf);
- 01 scanned file of valid international language certificate eligible for foreign language exemption (if any);
- Personal information on ID card
+ 01 basic paper file set to prepare includes:- Application form (printed from the application page);
- 02 scientific CVs (form on the website of the Department of Graduate Studies);
- 01 photocopy of university graduation diploma (photocopy does not need to be notarized);
- 01 photocopy of university graduation transcript (photocopy does not need to be notarized);
- 01 photocopy of valid international language certificate eligible for foreign language exemption (if any);
- 01 health examination form (with photo attached and stamped on the photo);
- 02 3 x 4 photos.6. After receiving the admission notice and completing the admission procedures:
+ Candidates receive the admission notice and complete the admission procedures according to the announcement of the Department of Graduate Studies;
+ Complete and submit the application for recognition of credits at the Department of Graduate Studies (to have credits taken in the postgraduate training program recognized through the master's training program).Department of Graduate Studies, Finance Department, Student Affairs Department, successful candidate
Application for recognition of credits
(Form 25 at: http://grad.tdtu.edu.vn/dao-tao/bieu-mau-lien-quan-chuong-trinh-thac-si)
-
III. Doctoral Program in Applied Mathematics
- 1. Introduction
-
General Information
- The PhD program in Applied Mathematics aims to cultivate experts with solid professional expertise and sharp academic thinking. Learners are equipped with a solid system of foundational knowledge and advanced theories in the field of Applied Mathematics, meeting the requirements for research and professional activities in an international environment. The program focuses on fostering independent research capacity, the ability to develop scientific theories and modern methodologies to solve complex problems and thereby creating new knowledge.
- The program is designed according to Level 8 of the Vietnam National Qualifications Framework and aligned with international standards for doctoral education
- After graduation, learners can become lecturers or researchers at universities, academies, research institutes, and research organizations both domestically and abroad. They can join in interdisciplinary research groups: Mathematics - Computer Science, Mathematics - Engineering, Mathematics - Biomedical Sciences, Mathematics - Economics…. They can also participate in supervising and training of future students and PhD candidates. In additon, they can also become management experts, scientific consultants for business organizations, or participate in postdoctoral research programs and projects.
Key Highlights
- The curriculum is designed to enable learners to master scientific methods, specialized knowledge, and research tools in Applied Mathematics, with an emphasis on inspiring passion and determination in research.
- The curriculum focuses on advanced, in-depth research training.
- The program is delivered by a team of highly qualified and experienced faculty members.
- 2. Programme Specifications
-
1. Awarding Institution: Ton Đuc Thang University
2. Name of programme: Applied Mathematics
3. Programme code: 9460112
4. Training degree: Doctor of Philosophy in Applied Mathematics
5. Mode of study: Regular
6. Training time
- For those with a master's degree or higher: 3 years (36 months)
- For those with a university degree: 4 years (48 months)
7. Instruction language: Vietnamese, English
8. Programme educational objectives
Within 3-5 years of graduating from the doctoral program in Applied Mathematics at Ton Duc Thang University, graduates will achieve the following competencies:
9. Programme learning outcomesNo.
Describe the training objectives
1
Possessing deep professional expertise and a high level of academic thinking, with a thorough understanding of fundamental and advanced knowledge in the field of applied mathematics, meeting the requirements for professional activities and research at an international level.
2
Possesses the capacity for independent and creative research, developing scientific theories, methodologies, and modern tools to solve complex problems and create new knowledge in applied mathematics.
3
Develop leadership skills in research teams, enabling the ability to guide scientific research in their specialized field and demonstrate responsibility towards the community.
Upon completing the doctoral program in Applied Mathematics at Ton Duc Thang University, doctoral candidates must achieve the following:
10. Admission criteriaNo.
Classification
by (group) of abilities
Description of PLOs
1
Knowledge
PLO1: Develop new theories and methods with high academic and practical value.
2
PLO2: Assess and evaluate professional issues based on fundamental, core knowledge of applied mathematics.
3
PLO3: Proposing and solving complex problems based on advanced, in-depth knowledge of applied mathematics.
4
Skill
PLO4: Organize scientific research activities and participate in discussions and present research results at national and international academic forums.
5
PLO5: Analyze, reason, and propose innovative approaches to interdisciplinary problems based on critical thinking and expert decision-making capabilities.
6
PLO6: Master the scientific theories, methods, and tools for researching problems related to the field of Applied Mathematics.
7
Level of autonomy and responsibility
PLO7: Possesses the ability to learn effectively on their own, engages in lifelong learning, and adheres to ethical principles and integrity in scientific research activities.
8
PLO8: Self-direction and leading others in research activities, collaborating with scientists both domestically and internationally.
10.1. Admission methods
The admission method, whether through selection based on academic records, examination, or a combination of both, is determined in the School's annual doctoral admission plan.
10.2.Eligibility requirements and eligibility criteria
10.2.1. Educational requirements
Applicants must possess one of the following qualifications:
- A master's degree in a field relevant to the field of study;
- A bachelor's degree with a distinction or higher in a field relevant to the field of study;
- A degree equivalent to level 7 of the Vietnamese National Qualifications Framework in certain specialized fields relevant to the field of study;
- A list of fields relevant to the field of study as specified in Appendix 1.
10.2.2. Foreign language proficiency requirements
Applicants must meet the foreign language proficiency requirements for admission to doctoral programs as stipulated in the current regulations on doctoral admission and training at Ton Duc Thang University.
10.2.3. Research experience requirements
Applicants must meet one of the following conditions:
- Have initial research experience demonstrated through a master's thesis in a research-oriented program;
- Have research experience demonstrated through published scientific articles or reports within the last 3 years (36 months) prior to the application submission date;
- Have at least 2 years (24 months) of work experience as a lecturer or researcher at educational institutions or scientific and technological organizations.
11. Programme structure
11.1. The doctoral student holds a master's degree
Content
Number of credits
Total
Obligatory
Selective
Specialization Knowledge
10
4
6
Scientific research
10
10
0
Research Proposal
4
4
0
Doctoral Topics
6
6
0
Graduate
70
70
0
Doctoral Dissertation
70
70
0
Total
90
84
6
11.2. The graduate student has a university degree
Content
Number of credits
Total
Obligatory
Selective
Fundamental knowledge of the field
26
11
15
General knowledge
5
5
0
Foundation and specialized knowledge
21
6
15
Specialization Knowledge
10
4
6
Scientific research
16
16
0
Research Proposal
4
4
0
Research Topics
6
6
0
Doctoral Topics
6
6
0
Graduate
70
70
0
Doctoral Dissertation
70
70
0
Total
122
101
21
12. Programme content12.1. The doctoral student holds a master's degree
Course code
Course Name
(Vietnamese)
Course Name
(English)
Total Credits
Theory
P, T, E
A. Required subject/major knowledge
4
4
0
MS801010
Chuyên đề nâng cao về Giải tích ứng dụng
Advanced Topics in Applied Analysis
4
4
0
B. Elective subject/major knowledge
6
6
0
MS801020
Chuyên đề nâng cao về Tối ưu hóa
Advanced Topics in Optimization
3
3
0
MS801030
Chuyên đề nâng cao về Giải tích số
Advanced Topics in Numerical Analysis
3
3
0
MS801040
Chuyên đề nâng cao về Xác suất và Thống kê
Advanced Topics in Probability and Statistics
3
3
0
MS801050
Chuyên đề nâng cao về Phương trình đạo hàm riêng
Advanced Topics in Partial Differential Equations
3
3
0
MS801060
Chuyên đề nâng cao về Đại số ứng dụng
Advanced Topics in Applied Algebra
3
3
0
MS801070
Seminar các chủ đề nghiên cứu hiện tại trong Toán ứng dụng
Seminar on Current Research Topics in Applied Mathematics
3
3
0
MS801080
Chuyên đề nâng cao về Trí tuệ nhân tạo và Khoa học máy tính
Advanced Topics in Artificial Intelligence and Computer Science
3
3
0
MS801090
Quy hoạch phi tuyến
Nonlinear Programming
3
3
0
MS801100
Giải tích biến phân
Variational Analysis
3
3
0
MS801110
Lý thuyết mã nâng cao
Advanced Coding Theory
3
3
0
MS801120
Ước lượng phi tham số
Nonparametric Estimation
3
3
0
MS801130
Giải số cho phương trình đạo hàm riêng
Numerical Methods for Solving Partial Differential Equations
3
3
0
C. Research Proposal
4
0
4
MS801900
Tiểu luận tổng quan
Research Proposal
4
0
4
D. Doctoral Topic
6
0
6
MS801910
Chuyên đề tiến sĩ 1
Doctoral Research Topic 1
3
0
3
MS801920
Chuyên đề tiến sĩ 2
Doctoral Research Topic 2
3
0
3
E. Doctoral Dissertation
70
0
70
MS801000
Luận án tiến sĩ
Doctoral Dissertation
70
0
70
Total
90
10
80
12.2. The graduate student has a university degree
Course code
Course Name
(Vietnamese)
Course Name
(English)
Total Credits
Theory
P, T, E
A. Required subject/major knowledge
11
11
0
SH700010
Triết học
Philosophy
3
3
0
IN700000
Phương pháp nghiên cứu khoa học
Research Methodology
2
2
0
MS701010
Giải tích hàm nâng cao
Advanced Functional Analysis
3
3
0
MS701020
Đại số tuyến tính nâng cao
Advanced Linear Algebra
3
3
0
B. Elective subject/major knowledge
15
15
0
MS701140
Giải tích số
Numerical Analysis
3
3
0
MS701190
Tối ưu nâng cao
Advanced Optimization
3
3
0
MS701030
Toán rời rạc nâng cao
Advanced Discrete Mathematics
3
3
0
MS701040
Giải tích thực
Real Analysis
3
3
0
MS701050
Phương trình đạo hàm riêng
Partial Differential Equations
3
3
0
MS701070
Phương trình toán lý
Partial Differential Equations in Mathematical Physics
3
3
0
MS701080
Bài toán không chỉnh
Ill-Posed Problems
3
3
0
MS701100
Giải tích phức
Complex Analysis
3
3
0
MS701150
Phương pháp phần tử hữu hạn
Finite Element Method
3
3
0
MS701160
Phương pháp sai phân hữu hạn
Finite Difference Method
3
3
0
MS701170
Phương pháp thể tích hữu hạn
Finite Volume Method
3
3
0
MS701180
Phương pháp toán trong xử lý ảnh số
Mathematical Methods for Digital Image Processing
3
3
0
MS701210
Thống kê toán
Mathematical Statistics
3
3
0
MS701220
Lý thuyết thống kê nâng cao
Advanced Theory of Statistics
3
3
0
MS701230
Quá trình ngẫu nhiên
Stochastic Processes
3
3
0
MS701240
Thống kê Bayes
Bayesian Statistics
3
3
0
MS701250
Thống kê nhiều chiều
Multivariate Statistics
3
3
0
MS701260
Mô hình toán tài chính
Models of Financial Mathematics
3
3
0
MS701270
Tin học ứng dụng
Applied Informatics
3
3
0
MS701280
Lý thuyết đa thức và ứng dụng
Theory of Polynomials and Applications
3
3
0
MS701290
Phương trình hàm
Functional Equations
3
3
0
MS701320
Lý thuyết số
Number Theory
3
3
0
MS701330
Lý thuyết mã
Coding Theory
3
3
0
MS701430
Các phép biến đổi tích phân nâng cao
Advanced Integral Transforms
3
3
0
MS701440
Vận trù học
Operations Research
3
3
0
MS701450
Dự báo
Time Series and Predictions
3
3
0
MS701460
Học máy thống kê
Statistical Machine Learning
3
3
0
MS701490
Quy hoạch tuyến tính nâng cao
Advanced Linear Programming
3
3
0
MS701500
Thuật toán tối ưu
Optimization Algorithms
3
3
0
MS701510
Tối ưu không trơn
Nonsmooth Optimization
3
3
0
C. Research Proposal
4
4
0
MS801010
Chuyên đề nâng cao về Giải tích ứng dụng
Advanced Topics in Applied Analysis
4
4
0
D. Doctoral Topic
6
6
0
MS801020
Chuyên đề nâng cao về Tối ưu hóa
Advanced Topics in Optimization
3
3
0
MS801030
Chuyên đề nâng cao về Giải tích số
Advanced Topics in Numerical Analysis
3
3
0
MS801040
Chuyên đề nâng cao về Xác suất và Thống kê
Advanced Topics in Probability and Statistics
3
3
0
MS801050
Chuyên đề nâng cao về Phương trình đạo hàm riêng
Advanced Topics in Partial Differential Equations
3
3
0
MS801060
Chuyên đề nâng cao về Đại số ứng dụng
Advanced Topics in Applied Algebra
3
3
0
MS801070
Seminar các chủ đề nghiên cứu hiện tại trong Toán ứng dụng
Seminar on Current Research Topics in Applied Mathematics
3
3
0
MS801080
Chuyên đề nâng cao về Trí tuệ nhân tạo và Khoa học máy tính
Advanced Topics in Artificial Intelligence and Computer Science
3
3
0
MS801090
Quy hoạch phi tuyến
Nonlinear Programming
3
3
0
MS801100
Giải tích biến phân
Variational Analysis
3
3
0
MS801110
Lý thuyết mã nâng cao
Advanced Coding Theory
3
3
0
MS801120
Ước lượng phi tham số
Nonparametric Estimation
3
3
0
MS801130
Giải số cho phương trình đạo hàm riêng
Numerical Methods for Solving Partial Differential Equations
3
3
0
E. Research Proposal
4
0
4
MS801900
Tiểu luận tổng quan
Research Proposal
4
0
4
F. Doctoral Topic
12
0
12
MS801910
Chuyên đề tiến sĩ 1
Doctoral Research Topic 1
3
0
3
MS801920
Chuyên đề tiến sĩ 2
Doctoral Research Topic 2
3
0
3
MS801930
Chuyên đề nghiên cứu 1
Research Topic 1
3
0
3
MS801940
Chuyên đề nghiên cứu 2
Research Topic 2
3
0
3
G. Doctoral Dissertation
70
0
70
MS801000
Luận án tiến sĩ
Doctoral Dissertation
70
0
70
Total
122
36
86
- 13. Progression points
Doctoral candidates must meet the requirements for graduation recognition and doctoral degree awarding according to the current regulations on doctoral admission and training of Ton Duc Thang University and the specific requirements of the training program.
14. Special featuresThe doctoral program in Applied Mathematics is designed to help students master scientific methods, knowledge, and research tools in the field of applied mathematics, with an emphasis on inspiring passion and determination for research among doctoral students.
15. Job opportunitiesAfter graduating from the doctoral program in Applied Mathematics, students can become lecturers and researchers at universities, academies, research institutes, and other research facilities both domestically and internationally. They can participate in interdisciplinary research groups: Mathematics - Computer Science, Mathematics - Engineering, Mathematics - Biomedical, Mathematics - Economics, etc. They can also mentor and train the next generation of students and doctoral candidates. Furthermore, graduates can become management experts, provide scientific consulting for organizations and businesses, or participate in postdoctoral research programs and projects.
16. Training plan16.1. The doctoral student holds a master's degree
Time
Content
Course load (credits)
Year 1
Course modules/majors
30
Research Proposal
Conduct research, publish scientific papers, and complete Part 1 of the dissertation.
Year 2
Conduct research, publish scientific papers, and complete Part 2 of the dissertation.
30
Complete the Doctoral Topic 1
Complete the Doctoral Topic 2
Year 3
Conduct research, publish scientific papers, and complete the doctoral dissertation.
30
Defending the thesis at the specialized unit level
Defending the thesis at the university level
16.2. The graduate student has a university degree
Time
Content
Course load (credits)
Year 1
Course modules/majors
32
Complete the Research Topic 1
Complete the Research Topic 2
Year 2
Course modules/majors
30
Research Proposal
Conduct research, publish scientific papers, and complete Part 1 of the dissertation.
Year 3
Conduct research, publish scientific papers, and complete Part 2 of the dissertation.
30
Complete the Doctoral Topic 1
Complete the Doctoral Topic 2
Year 4
Conduct research, publish scientific papers, and complete the doctoral dissertation.
30
Defending the thesis at the specialized unit level
Defending the thesis at the university level
-
- 3. Programme Learning Outcomes (PLOs)
-
Upon completing the doctoral program in Applied Mathematics at Ton Duc Thang University, graduates must achieve the following:
No Classification by competency group Description of PLOs Scale 1 Knowledge PLO1: Develop new theories and methods with high academic and practical value. Achieve the subjects according to the correlation matrix of PLO1 in the curriculum. 2 PLO2: Assess and evaluate professional issues based on fundamental, core knowledge of applied mathematics. Achieve the subjects according to the correlation matrix of PLO2 in the curriculum. 3 PLO3: Proposing and solving complex problems based on advanced, in-depth knowledge of applied mathematics. Achieve the subjects according to the correlation matrix of PLO3 in the curriculum. 4 Skill PLO4: Organize scientific research activities and participate in discussions and present research results at national and international academic forums. Achieve the subjects according to the correlation matrix of PLO4 in the curriculum. 5 PLO5: Analyze, reason, and propose innovative approaches to interdisciplinary problems based on critical thinking and expert decision-making capabilities. Achieve the subjects according to the correlation matrix of PLO5 in the curriculum. 6 PLO6: Master the scientific theories, methods, and tools for researching problems related to the field of Applied Mathematics. Achieve the subjects according to the correlation matrix of PLO6 in the curriculum. 7 Level of autonomy and responsibility PLO7: Possesses the ability to learn effectively on their own, engages in lifelong learning, and adheres to ethical principles and integrity in scientific research activities. Achieve the subjects according to the correlation matrix of PLO7 in the curriculum. 8 PLO8: Self-direction and leading others in research activities, collaborating with scientists both domestically and internationally. Achieve the subjects according to the correlation matrix of PLO8 in the curriculum. - 4. Job Opportunities
-
After graduating from the doctoral program in Applied Mathematics, students can become lecturers and researchers at universities, academies, research institutes, and other research facilities both domestically and internationally. They can participate in interdisciplinary research groups: Mathematics - Computer Science, Mathematics - Engineering, Mathematics - Biomedical, Mathematics - Economics, etc. They can also mentor and train the next generation of students and doctoral candidates. Furthermore, graduates can become management experts, provide scientific consulting for organizations and businesses, or participate in postdoctoral research programs and projects.
IV. Contact information
Department of Graduate Studies (Room B002) Building B, No. 19 Nguyen Huu Tho, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam.
Homepage: https://grad.tdtu.edu.vn/
Facebook: https://www.facebook.com/sgs.tdtu Tel: +84-28-3775-5059
Hotline: 0944 314 466
Email: gradstudies@tdtu.edu.vn