BACHELOR OF STATISTICS
Programme name: Statistics Code: 7460201
Mode of training: Full-time Training time: 4 years
Award: Bachelor Total number of credits: 141 credits
Part 1
A BRIEF OVERVIEW OF THE PROGRAMME
1.1 Programme name: Statistics Programme
1.2 Programme Code: 7460201
1.3 Awarding institution: Can Tho University.
Address: Campus II, 3/2 Street, Xuan Khanh Ward, Ninh Kieu District, Can Tho City
Website: https://cns.ctu.edu.vn/en/mathintro.html
1.4 Award: Bachelor of Statistics
1.5 Total credits: 141
1.6 Mode of training: Full-time
1.7 Training time: 4 years (at most 8 years)
1.8 Applicants: People with high school diplomas or equivalent
1.9 Grade System: 4-grade
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 4-grade);
- Complete conditional courses. In addition, general average score of National Defense and Security Education courses must be 5.0 or higher (on a 10-grade);
- 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 Statistics program provides students with foundational and advanced knowledge in statistics, equipping them with the ability to apply statistical methods to solve economic problems and real-world issues across various fields. Graduates will develop independent working skills, creativity, and research capabilities. Additionally, they will gain fundamental knowledge in political science, social sciences, and law, along with proficiency in foreign languages and information technology to meet the country’s workforce development needs.
1.2. Expected learning outcomes
The undergraduate Statistics program provides students with:
ELO1: Basic knowledge in social sciences, political theory, national defense and security, physical education, foreign languages, and information technology, as well as research methodologies related to statistics.
ELO2: Foundational knowledge in mathematics, economics, and modern statistical methods widely applied today.
ELO3: In-depth knowledge of statistics for application in relevant fields, further studies, and scientific research.
ELO4: Skills in applying statistical methods through data collection, analysis, and processing to solve economic problems and issues in other fields, enabling them to make accurate forecasts and decisions for organizations and businesses.
ELO5: Independent working skills, teamwork abilities, presentation skills, creativity, and scientific research skills to adapt to professional environments.
ELO6: A lifelong learning capability, professionalism, and ethical conduct in their careers.
2. Learning Outcomes
Upon completing the undergraduate Statistics program, graduates will possess the following competencies:
2.1. Knowledge
2.1.1 General Education Knowledge
PLO1: Demonstrate fundamental knowledge of political science, natural sciences, social sciences, and law.
PLO2: Apply basic theories in physical education, national defense, and security education.
2.1.2 Core Knowledge in the Field
PLO3: Effectively apply fundamental mathematical and economic knowledge in learning and research in the field of statistics.
2.1.3 Specialized Knowledge
PLO4: Develop deeper knowledge in specific areas of statistics, including economic statistics, business statistics, biostatistics, etc.
PLO5: Proficiently apply mathematical and statistical knowledge to solving real-world problems in economics and other fields.
2.2. Skills
2.2.1 Technical Skills
PLO6: Proficiently use mathematical tools and popular statistical software to analyze data and work with numerical information.
PLO7: Apply statistical methods and data analysis techniques effectively to solve real-world problems.
2.2.2 Soft Skills
PLO8: Utilize a foreign language at Level 3/6 of the Vietnamese Foreign Language Proficiency Framework (equivalent to B1 in the Common European Framework of Reference for Languages) and basic information technology skills to enhance work efficiency and quality.
PLO9: Develop teamwork, independent working, and creative problem-solving skills in statistical applications, along with research capabilities, including reading, understanding, and analyzing research findings.
2.3. Attitudes, Autonomy, and Responsibility
PLO10: Build professional ethics and the ability to adapt to workplace environments and job requirements in statistics.
PLO11: Cultivate self-learning abilities and the commitment to updating knowledge in statistics and related fields.
PLO12: Actively seek, utilize academic materials, and apply technology to expand knowledge and stay updated with the latest advancements in statistics.
3. Career Opportunities After Graduation
- Statistician/Data Analyst at statistical agencies.
- Data analysis and processing specialist in companies, enterprises, government agencies, banks, financial institutions, insurance companies, telecommunications firms, and healthcare service providers.
- Researcher at statistical research centers and institutes.
- Specialist/Expert in building forecasting models, optimization models for production, and business strategy.
- Lecturer at universities, colleges, and vocational schools, teaching statistics-related subjects.
4. Further Study Opportunities
- Develop self-learning skills and lifelong learning habits, with the ability to update knowledge and adapt to technological advancements.
- Graduates with a Bachelor’s degree in Statistics can pursue higher education, including master’s and doctoral programs.
5. Reference Programs and Materials
- The Statistics program at Ton Duc Thang University.
- The Economic Statistics program at the University of Economics Ho Chi Minh City.
- The Statistics program at Colorado State University, USA.
6. Curriculum
No. |
Code |
Course Title |
Credits |
Required |
Elective |
Lecture |
Lab |
Prerequisite |
Parallel course |
Semester |
General education knowledge |
||||||||||
1 |
QP010E |
National Defense Education – Security 1 (*) |
2 |
2 |
|
30 |
|
Arranged by major |
||
2 |
QP011E |
National Defense Education – Security 2 (*) |
2 |
2 |
|
30 |
|
Arranged by major |
||
3 |
QP012 |
National Defense Education – Security 3 (*) |
3 |
3 |
|
20 |
65 |
Arranged by major |
||
4 |
QP013 |
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 |
|
45 |
|
|
|
I,II,III |
21 |
ML016 |
Marxist – Leninist Polotical Economy |
2 |
2 |
|
30 |
|
ML014 |
|
I,II,III |
22 |
ML018 |
Scientific Socialism |
2 |
2 |
|
30 |
|
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 |
|
30 |
|
ML019 |
|
I,II,III |
25 |
KL001E |
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 |
XH011E |
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 |
KN001E |
Transferable skills |
2 |
|
20 |
20 |
|
|
I,II,III |
|
32 |
KN002E |
Entrepreneurship and innovation |
2 |
|
20 |
20 |
|
|
I,II,III |
|
33 |
TN100 |
Research Mehthodology |
2 |
2 |
|
30 |
|
|
|
I,II,III |
34 |
TN195 |
Basics of C programming |
3 |
3 |
|
30 |
30 |
|
|
I,II,III |
Total: 44 credits (Required: 29 credits; Elective: 15 credits) |
||||||||||
Basic professional knowledge |
||||||||||
35 |
TN091 |
Introduction to Probability |
3 |
3 |
|
45 |
|
|
|
I,II,III |
36 |
TN092E |
Introduction to Statistics |
3 |
3 |
|
45 |
|
|
|
I,II,III |
37 |
TN081 |
Single variable calculus |
4 |
4 |
|
60 |
|
|
|
I,II,III |
38 |
TN082 |
Multivariable calculus |
3 |
3 |
|
45 |
|
|
|
I,II,III |
39 |
TN093 |
Linear algebra |
3 |
3 |
|
45 |
|
|
|
I,II,III |
40 |
TN464 |
Real analysis |
3 |
3 |
|
45 |
|
|
|
I,II,III |
41 |
SP304E |
Linear programming |
2 |
2 |
|
30 |
|
|
|
I,II,III |
42 |
KT101 |
Microeconomics |
3 |
3 |
|
45 |
|
|
|
I,II,III |
43 |
KT102 |
Macroeconomics |
3 |
3 |
|
45 |
|
|
|
I,II,III |
44 |
KT113 |
Econometrics |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
45 |
TN493 |
Survey methods and sampling techniques |
3 |
3 |
|
45 |
|
|
|
I,II,III |
46 |
TN484 |
Design of Economic Experiments |
2 |
2 |
|
30 |
|
|
|
I,II,III |
47 |
TN478 |
Business Statistics and Analysis |
3 |
3 |
|
45 |
|
|
|
I,II,III |
48 |
TN169E |
English for Mathematics |
2 |
|
2 |
30 |
|
|
|
I,II,III |
49 |
XH019 |
French for Science and Technology |
2 |
|
30 |
|
|
|
I,II,III |
|
Total: 40 credits (Required: 38 credits; Elective: 2 credits) |
||||||||||
Specialized knowledge |
||||||||||
50 |
TN477 |
Mathematical Software |
3 |
3 |
|
30 |
30 |
|
|
I,II,III |
51 |
TN485E |
Statistical recognition and applications |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
52 |
TN346E |
Analysis of Statistical Data |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
53 |
TN355 |
Bayesian Statistics |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
54 |
TN481E |
Apply Statistics in Biology and Experiment Design |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
55 |
TN080 |
Financial Mathematics |
3 |
3 |
|
45 |
|
|
|
I,II,III |
56 |
TN369 |
Statistical Forecast |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
57 |
TN368E |
Advanced Statistics |
3 |
3 |
|
45 |
|
TN092E |
|
I,II,III |
58 |
TN482 |
Special subject for economic statistics |
2 |
2 |
|
30 |
|
TN092E |
|
I,II,III |
59 |
TN441 |
Multivariate Statistics |
3 |
3 |
|
30 |
30 |
TN092E |
|
I,II,III |
60 |
TN442 |
Random processes |
3 |
3 |
|
45 |
|
TN091 |
|
I,II,III |
61 |
TN170 |
Fact-finding trip |
1 |
1 |
|
|
30 |
≥ 60 TC |
|
I,II,III |
62 |
KT203 |
Applied mathematics for business |
3 |
3 |
|
45 |
|
|
|
I,II,III |
63 |
TN495 |
Knowledge discovery from data |
3 |
|
11 |
45 |
|
TN092E |
|
I,II,III |
64 |
TN443 |
Socio-economic Statistics |
3 |
|
30 |
30 |
TN092E |
|
I,II,III |
|
65 |
TN370 |
Advanced Probability |
3 |
|
45 |
|
TN091 |
|
I,II,III |
|
66 |
TN486 |
Nonparametric Statistic |
3 |
|
45 |
|
TN092E |
|
I,II,III |
|
67 |
TN487E |
Seminar on Applied Statistics |
2 |
|
30 |
|
TN092E |
|
I,II,III |
|
68 |
TN488 |
Seminars on Applied Probability |
2 |
|
30 |
|
|
|
I,II,III |
|
69 |
KT310E |
Economic Policy Analysis |
3 |
|
45 |
|
|
|
I,II,III |
|
70 |
KT314E |
Economic Information Systems |
2 |
|
30 |
|
|
|
I,II,III |
|
71 |
KT108 |
Statistical Principals of Economics |
3 |
|
45 |
|
|
|
I,II,III |
|
72 |
TN489 |
Economic Models |
3 |
|
45 |
|
|
|
I,II,III |
|
73 |
TN543 |
Intership |
2 |
|
|
60 |
≥ 60 TC |
|
I,II,III |
|
74 |
TN490 |
Mathematics for Economists |
3 |
|
45 |
|
|
|
I,II,III |
|
75 |
TN475 |
Graduate Thesis |
10 |
|
10 |
|
300 |
≥105 TC |
|
I,II,III |
76 |
TN476 |
Graduation Essay |
4 |
|
|
120 |
≥105 TC |
|
I,II,III |
|
77 |
TN491E |
Data analysis project |
3 |
|
45 |
|
|
|
I,II,III |
|
78 |
TN251 |
Limit Theorems |
3 |
|
45 |
|
TN091 |
|
I,II,III |
|
79 |
TN354E |
Algorithm of Optimization |
2 |
|
30 |
|
SP304E |
|
I,II,III |
|
80 |
TN352 |
Theory of Nonlinear Programming |
2 |
|
30 |
|
SP304E |
|
I,II,III |
|
81 |
TN492 |
Business Statistics |
3 |
|
45 |
|
|
|
I,II,III |
|
82 |
KT337 |
eCommerce |
2 |
|
30 |
|
|
|
I,II,III |
|
83 |
KT123E |
Change Management |
2 |
|
30 |
|
|
|
I,II,III |
|
84 |
TN494 |
Optimization Models in Economics |
3 |
|
45 |
|
|
|
I,II,III |
|
Total: 57 credits (Required: 36 credits; Elective: 21 credits) |
||||||||||
Total: 141 credits (Required: 103 credits; Elective: 38 credits) |