Bachelor in Data Science (DS)


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, Insurance have invested in this field. 

Data scientist 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 the highest salary, and Top 25 the best occupations. In Vietnam, the demand for qualified human resources for data science has been 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.

 

No

Course name

Group

ECTS

Semester 1: 29 ECTS

1

English

Language

8

2

Management Sciences

MS

2

3

Linear Algebra

MATHS

4

4

Introduction to informatics

ICT

3

5

Fundamental Physics I

PHYSICS

4

6

Cellular biology

BIOLOGY

4

7

General Chemistry I

CHEMISTRY

4

Semester 2: 31 ECTS

1

Basic programming

ICT

4

2

Calculus I

MATHS

4

3

Fundamental Physics II

PHYSICS

4

4

Genetics

BIOLOGY

3

5

General Chemistry II

CHEMISTRY

4

6

Introduction to Algorithms

ICT

3

7

Computer Architecture

ICT

3

8

Calculus II

MATHS

3

9

Discrete Mathematics

MATHS

3

Semester 3: 32 ECTS

1

Management Sciences

MS

2

2

French

Language

8

3

Probability

MATHS

3

4

Numerical Methods

MATHS

3

5

Data Structures and Algorithms

ICT

3

6

Object-oriented Programming

ICT

4

7

Fundamentals of Databases

ICT

3

8

Machine Learning and Data Mining I

DS

3

9

Signal and Systems

ICT

3

Semester 4: 28 ECTS

1

Advanced Programming

ICT

4

2

Algebraic Structures

MATHS

3

3

Statistics

MATHS

3

4

Introduction to Artificial Intelligence

DS

3

5

Image Processing

DS

3

6

Machine Learning and Data Mining II

DS

3

7

Software Engineering

ICT

3

8

Fundamentals of optimization

MATHS

3

9

Applied Statistics and Experimental Design

MATHS

3

Semester 5: 30 ECTS

1

Management Sciences

MS

2

2

French

Language

7

3

Fundamentals of Data Science

DS

3

4

Advanced Databases

ICT

3

5

Distributed Systems

ICT

3

6

Computer Vision

DS

3

7

Data Visualization

DS

3

8

Web/Text Mining

DS

3

9

Introduction to BioInformatics

Applied DS

3

Semester 6: 30 ECTS

1

Analysis of Spatial and Temporal Data

Applied DS

3

2

Natural Language Processing

Applied DS

3

3

Time Series Data and Analysis

Applied DS

3

4

Graph Analytics for Big Data

Applied DS

3

5

Machine Learning in Medicine

Applied DS

3

6

Group Project

DS

3

7

Internship

DS

12

 

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, logical thinking, and equipped with soft skills such as presentation, argument, teamwork, leadership skills, project proposal writing, 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