The Bachelor’s program in Data Science (DS) is built upon USTH’s strengths in Information Technology, Statistics, and Big Data Analysis within the fields of science and technology. The program is taught in English to meet the demand for a new workforce in the Industry 4.0 era.
Table of Content
1. PROGRAM INTRODUCTION
Industry 4.0 or the Fourth Industrial Revolution refers to interconnectivity, automation, and real-time data exchange. There is tremendous growth in big data from the Internet of things (IoT) and artificial intelligence (AI), extensive applications, and integrations of modern technological devices (smartphones or tablets). Big data can provide a lot of valuable insights. Therefore, if the data is collected, exploited, and analyzed, it would bring many great benefits to business, scientific research, forecasting natural disasters, epidemics, etc.
With the outstanding development of data science, more and more businesses in the fields of Science & Technology, Marketing, Banking & Finance, and Insurance have invested in this field.
Data science is known as a new profession and is highly demanded over the world in general and in Vietnam in particular. The Harvard Business Review states that “Data Science would be the Most Attractive Profession of the 21st Century”. In the U.S, Data Science has ranked in the Top 10 the most recruited occupations, Top 16th for the highest salary, and Top 25 for the best occupations. In Vietnam, the demand for qualified human resources for data science has rapidly increased.
The Bachelor Program in Data Science is built based on USTH’s strength in training in information technology, statistics, and big data analysis in the sciences and technologies. The program would meet the demand for qualified human resources in Industrial 4.0.
2. PROGRAM CURRICULUM
Our program is divided into 3 years (6 semesters), as follows:
- The first year (60 credits) provides students with background knowledge in Science & Technology;
- The second-year (60 credits) focuses on the ICT and Applied Mathematics pathway, the major building blocks of Data Science;
- The third-year (60 credits) includes specialized and applied data science in science and technology disciplines such as Biotechnology, Environmental Science, Remote Sensing, and Applied Mathematics.
| Courses | ||
|---|---|---|
| Core Industry Knowledge | Computer Architecture, Operating Systems | Fundamentals of Databases |
| Object-Oriented Analysis and Design | Object-Oriented Programming, Advanced Programming with Python | |
| Signals and Systems | Applied Statistics and Experimental Design | |
| Machine Learning and Data Mining 1, 2 | Fundamentals of Data Science | |
| Artificial Intelligence | Deep Learning | |
| Data Structures and Algorithms | ||
| Specialized Knowledge | Optimization 1, 2 | Image Processing |
| Data Visualization | Natural Language Processing | |
| Computer Vision | Introduction to Bioinformatics | |
| Machine Learning in Healthcare | Time Series Data Analysis | |
| Graph Analysis for Big Data | Spatio-Temporal Data Analysis | |
| Data Analysis in Atmospheric Science | Software Engineering | |
| Advanced Databases | Web Application Development | |
| Elective Courses | Computer Networks | Introduction to Mechatronics |
| Introduction to GIS (Geographic Information Systems) | Introduction to Cryptography | |
| Mobile Application Development | Distributed Systems | |
| Financial Mathematics | ||
USTH’s students will be equipped with knowledge in data science such as data mining, machine learning, visualization, predictive modeling & statistics, analysis; statistics-oriented programming languages, and big data tools.
Being a skill-oriented pathway, we expect an evenly distributed teaching hour for each course: 50% for theory and 50% for practical work. In more “theory-oriented” courses, this ratio can be 70% lectures and 30% practical work. These proportions encourage students to really get into the field.
The program is fully taught in English including lectures, practical works, and tutorials. The international environment gives students great advantages when compared with traditional domestic programs, especially with the ability to self-study and research.
The full-time internship can be either at a company or at a laboratory. With existing collaborations between USTH’s partners and businesses, the students can easily find an intern position.
In addition, students will also be trained in professional working style, and logical thinking, and equipped with soft skills such as presentation, argument, teamwork, leadership skills, project proposal writing, and report writing to confidently adapt to the international environment upon graduation.
3. CAREER OPPORTUNITIES
Graduated students can apply to the following positions:
- Data Analyst
- Data Engineers
- Database Administrator
- Machine Learning Engineer
- Data Scientist
- Data Architect
- Statistician
- Business Analyst
- Data and Analytics Manager
4. CONTACT INFORMATION
- About the training program:
Department of Information and Communication Technology (ICT)
Tel: (+84-24) 32 12 18 01
Email: ict_dept@usth.edu.vn
Add: Room 408, 4th floor, A21 building, University of Science and Technology of Hanoi
- About Admission:
Department of Admissions and Communication (DAC)
Tel: ( + 84-24) 77 72 77 48
Email: admission@usth.edu.vn
Add: Room 102, 1st floor, A21 building, University of Science and Technology of Hanoi
