Distribution of Curriculum
| Courses | Credits | Percent |
|---|---|---|
| General Courses | 53 | 37.3% |
| Core Courses | 30 | 21.2% |
| Major Courses | 59 | 41.5% |
Program Summary
Learning Objective: Develop a strong foundation in managing, processing, and analyzing big data, encompassing both theoretical and applied aspects of data science within information systems. Enhance problem-solving skills for analyzing, optimizing, and designing information systems through extensive data analysis. Acquire the ability to design, develop, and integrate information systems for technical applications focused on comprehensive data analysis, with a capability to address interdisciplinary issues in engineering, social sciences, politics, and economics. Gain expertise in data science and information systems to thrive in a data-driven world.
Career Opportunities: A Bachelor of Data Science offers many career options, including roles as an analyst, designer, and developer of intelligent data mining software. Undergraduates can find opportunities in businesses, government agencies, research institutes, and leading software development companies like DXC, FPT, IBM, TMA, TPS, and Microsoft. Additionally, they can explore diverse fields related to data analysis, mining, and processing.
Module handbook: link
Curriculum
| Subject | Credits | Subject | Credits |
|---|---|---|---|
| Semester 1 | 23 | Semester 5 | 16 |
| Calculus 1 | 4 | Probability, Statistic & Random Process | 3 |
| Physics 1 | 2 | Critical Thinking | 3 |
| Chemistry for Engineers | 4 | Scalable and Distributed Computing | 4 |
| Introduction to Data Science | 3 | Fundamental Concepts of Data Security | 4 |
| Academic English 1 | 4 | History of Vietnamese Communist Party | 2 |
| Physical Training 1 | 3 | ||
| Philosophy Marx -Lenin | 3 | ||
| Semester 2 | 24 | Semester 6 | 18 |
| Calculus 2 | 4 | Data Mining | 4 |
| Physics 2 | 2 | Analytics for Observational Data | 4 |
| Regression Analysis | 4 | Artificial Intelligence | 4 |
| Statistical Methods | 3 | Ho Chi Minh’s Thoughts | 2 |
| Academic English 2 | 4 | Elective | 4 |
| Fundamentals of Programming | 4 | ||
| Physical Training 2 | 3 | ||
| Semester 3 | 17 | Semester 7 | 17 |
| Linear Algebra | 4 | Internship | 3 |
| Environmental Science | 3 | Special Study of the Field | 3 |
| Object-Oriented Programming | 4 | Big Data Technology | 4 |
| Data Analysis | 4 | Elective | 4 |
| Marxist – Leninist Political Economy | 2 | Elective | 3 |
| Semester 4 | 18 | Semester 8 | 10 |
| Data Science and Data Visualization | 4 | Thesis | 10 |
| Principle of Database Management | 4 | ||
| Scientific Socialism | 2 | ||
| Algorithms and Data Structure | 4 | ||
Elective Courses
Choose 2 of these:
| Course | Credits |
|---|---|
| Business Process Analysis | 4 |
| Experimental Design | 4 |
| Decision Support Systems | 4 |
| Theory of Networks | 4 |
| Big Data Applications: Machine Learning at Scale | 4 |
| Data Mining for IOTs | 4 |
| Blockchain | 4 |
| Optimization | 4 |
Choose 1 of these:
| Course | Credits |
|---|---|
| IT Project Management | 4 |
| Information System Management | 4 |
| Mobile Cloud Computing | 4 |
| Entrepreneurship | 3 |