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Bachelor of Science in Data Science K23

Distribution of Curriculum

Courses Credits Percent
General Courses 39 30.23%
Core Courses 27 20.93%
Major Courses 47 36.44%
Research & Practical Modules 16 12.4%

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

Curriculum mapping

Download Curriculum 2023

Semester 1
1 MA001IU Calculus 1 Required 4 4 0
2 EN008IU Academic English 1 (listening skill) Required 2 2 0
3 EN007IU Academic English 1 (writing skill) Required 2 2 0
4 IT135IU Introduction to Data Science Required 3 3 0
5 IT149IU Fundamentals of Programming Required 4 3 1
Total 15 14 1
Semester 2
1 PE015IU Philosophy Marx – Lenin Required 3 3 0
2 IT151IU Statistical Methods Required 3 3 0
3 MA026IU Probability, statistics and Random Process Required 3 3 0
4 EN012IU Academic English 2 (speaking skill) Required 2 2 0
5 EN011IU Academic English 2 (writing skill) Required 2 2 0
6 IT069IU Object-Oriented Programming Required 4 3 1
Total 17 16 1
Semester 3
1 IT140IU Fundamental Concepts of Data Security Required 4 3 1
2 IT154IU Linear Algebra Required 3 3 0
3 PE016IU Marx-Lenin Political Economy Required 2 2 0
4 IT013IU Data Structures and Algorithms Required 4 3 1
5 IT159IU Artificial Intelligence Required 4 3 1
Total 17 14 3
Semester 4
1 IT171IU Statistical Learning Required 4 3 1
2 IT097IU Principles of Database Management Required 4 3 1
3 IT136IU Regression Analysis Required 4 3 1
4 PE018IU History of Vietnamese Communist Party Required 2 2 0
5 PT001IU  Physical Training 1 Required 3 3 0
6 PE021IU General law Required 3 3 0
Total 20 17 3
Semester 5
1 PE019IU Ho Chi Minh’s Thoughts Required 2 2 0
2 IT138IU Data Science and Data Visualization Required 4 3 1
3 IT137IU Data Analysis Required 4 3 1
4 IT160IU Data Mining Required 4 3 1
5 IT139IU Scalable and Distributed Computing Required 4 3 1
Total 18 14 4
Semester 6
1 IT172IU Machine Learning Required 4 3 1
2 PE017IU Scientific Socialism Required 2 2 0
3 IT157IU Deep Learning Required 4 3 1
4 Elective Elective 4 3 1
5 Elective Elective 4 3 1
Total 18 14 4
Semester 7
1 IT173IU Big Data Analytics Required 4 3 1
2 Elective Elective 3 3 0
3 Free Elective Elective 4 3 or 4 0 or 1
4 PT002IU  Physical Training 2 Required 3 0 3
5 IT083IU Special Study of the Field Required 3 3 0
Total 17 9 4
Semester 8
1 IT082IU Internship Required 3 3 0
If GPA>=70
2 IT058IU Thesis Required 10 10 0
If GPA < 70
2 IT168IU Special Study of the Field 2 Required 3 3 0
3 Elective Elective 4 3 1
4 Elective Elective 3 3 0
Total(not including Physical Training) 13 13 0
129