Data science Expected Learning Outcomes

Written by Luu Thanh Son on . Posted in Uncategorised

Graduates of the Bachelor degree program in Data Science must meet the following
requirements (LO - Learning Outcome):

● LO 1: Have fundamental knowledge of science and social science.
● LO 2: Have fundamental and advanced knowledge of Data Science (be able to
use statistical programming languages, data analysis tools, etc)
● LO 3: Be capable of reasoning, analyzing, forecasting, senior statistics and
solving problems related to Data Science.
● LO 4: Have skills in scientific research and knowledge discovery (document
survey, analysis, evaluation).
● LO 5: Have a systematic mindset and be able to design components or entire
systems that collect and analyze data.
● LO 6: Have personal and professional skills, understand the ethical values, and
lifelong learning abilities.
● LO 7: Have teamwork skills with professional manners.
● LO 8: Have communication skills.
● LO 9: Be able to use foreign languages in specialized field.
● LO 10: Understand social needs, the impact of big data mining technologies in
the context of industrial revolution 4.0. Be able to form ideas, analyze, design,
and apply statistical tools and apply Data Science applications into practice to
meet social needs, solve economic problems, and improve competitiveness,
development, entrepreneurship and creativity.

Data science program overview

Written by Luu Thanh Son on . Posted in Uncategorised

1. Overview

1.1 Education outcomes

Providing high quality human resources with strong professional skills and excellent knowledge in Data science. Undegraduates receive in-depth training with IT and Data science, good health and morality to work and research in data science and artificial intelligent.

1.2 Career opportunities

Student after graduated from Data science program are capable for these positions:

  • Data analyst or data statistic. Be able to analyze, synthesize, and building forecast model based on data.
  • Data engineering. Be able to build software for analyzing data, building distributed data system, making query and extracting information from data.
  • Researcher in data science. Be able to work and operate with big data, select optimization data model, and conduct quantitative analysis in business and stock.
  • Be able to work as lecturer or researcher at academic organizations.

1.3 Viewpoints of educational program.

Educating high quality student with strong IT-skills and research skills in data science: collecting data, cleaning data , classifying data, analyzing data,  making statistical inference, and synthesizing data.

Data science students are able to work and research with data in many fields: science data, economical data, social data, and stock data.

1.4 Education time

- Type of training: Full-time

- Time: 4 years (8 semesters).

- Qualification: Bachelor of Data science.

 2. University entrances

- Option 1: Passed the National University Entrance Exam.

- Option 2: Directly admission: candidates with Gold medal, Silver medal, and Bronze medal from National Teams for the Gifted or Olympic Teams about Information Technology.

3. Education Policies

 

Câu chuyện giáo dục: Đừng đến lấy quà rồi về !

Written by Nguyen Duy Van Tien Loc on . Posted in Uncategorised

Dòng sinh viên (SV) đăng ký tham gia hội thảo càng đông, những món quà ban tổ chức gửi tặng càng ngày vơi đi nhưng cuối cùng, lượng người tham dự thật sự chỉ đếm trên đầu ngón tay.
Sinh viên tham gia hội thảo 'Xu hướng khởi nghiệp ngành thời trang' /// Lê Thanh
Sinh viên tham gia hội thảo 'Xu hướng khởi nghiệp ngành thời trang'
Lê Thanh

Student publications

Written by Nguyen Duy Van Tien Loc on . Posted in Uncategorised

2019

Nguyễn Đình Long, Ngô Hồng Phúc, Nguyễn Gia Tuấn Anh: Phát Triển Hợp Đồng Mua Bán Thông Minh Trên Thiết Bị Di Động Bằng Công Nghệ Blockchain, Hội nghị Khoa học trẻ và Nghiên cứu sinh tháng 5, 2019, Hồ Chí Minh, Việt Nam. (Sinh viên Nguyễn Đình Long và Ngô Hồng Phúc thuộc lớp CNTT2015).

Tin Van Huynh, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen. Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-GRU Model. The Sixth International Workshop on Vietnamese Language and Speech Processing VLSP 2018 - in conjunction with the international conference PACLING 2019, 10/2019, Hanoi. (Sinh viên Huỳnh Văn Tín thuộc lớp CNTT2016).

Hang Thi-Thuy Do, Huy Duc Huynh, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen. Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model. The Sixth International Workshop on Vietnamese Language and Speech Processing VLSP 2019 - in conjunction with the international conference PACLING 2019, 10/2019, Hanoi. (Sinh viên Đỗ Thị Thúy Hằng và Huỳnh Đức Huy thuộc lớp CNTT2016).

2018

Kiet Van Nguyen, Vu Duc Nguyen, Phu Xuan-Vinh Nguyen, Tham Thi-Hong Truong, Ngan Luu-Thuy Nguyen, UIT-VSFC: Vietnamese Students' Feedback Corpus for Sentiment Analysis, 2018 10th International Conference on Knowledge and Systems Engineering (KSE 2018), November 1-3, 2018, Ho Chi Minh City, Vietnam. (Sinh viên Nguyễn Xuân Vĩnh Phú và Trương Thị Hồng Thắm thuộc lớp CNTT2014).

Phu Xuan-Vinh NguyenTham Thi-Hong Truong, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus, The 5th NAFOSTED Conference on Information and Computer Science (NICS 2018), November 23-24, 2018, Ho Chi Minh, Vietnam. (Sinh viên Nguyễn Xuân Vĩnh Phú và Trương Thị Hồng Thắm thuộc lớp CNTT2014).

Bachelor Degree Curriculum

Written by Nguyen Duy Van Tien Loc on . Posted in Uncategorised

 

1. Principal subjects


 

No.

 

Code

 

Course name

 

1

IT001

Introduction to Programming

 

2

IT003

Data Structure and Algorithm

 

2. Fundamental subjects


 

No.

 

Code

Course name

1

IE101

 

Information Technology Infrastructure

 

2

IE103

 

Information Management

 

3

IE104

 

Internet and Web Technology 

 

4

IE105

 

Introduction to Information Assurance and Security

 

5

IE106

 

User Interface Design

 

6

SE104

 

Introduction to Software Engineering 

 

7

IS402

 

Cloud Computing

 

3. Advance subjects


 

No.

 

Code

Course name

1

IE201

 

Analysis of Statistical Data

 

2

IE212

 

Big Data

 

3

IE221

 

Introduction to Python Programming

 

4

IE222

 

Introduction to data analysis

 

5

IE309

 

Internship

 

6

IE202

 

Business Management 

 

7

IE203

 

Bussiness Process Management Systems

 

8

IE301

 

Customer Relationship Management

 

9

IE302

 

System Integration and Architecture

 

10

IE102

 

Platform Technologies

 

11

IE204

 

Search Engine Optimization (SEO) 

 

12

IE213

 

Web Application Development

 

13

IE303

 

Java Technology

 

14

IE307

 

Multi-platform mobile application Development

 

15

IE205

 

Satellite Image Processing

 

16

IE304

 

Global Positioning System (GPS)

 

17

IE305

 

Tin học môi trường

 

4. Graduation subjects


 

No.

 

Code

Course name

1

IE401

 

Environmental Informatics

 

2

IE402

 

Three- Dimentional Geographic Information System

 

3

IE403

 

Social Media Mining

 

4

IE405

 

Big data analysis

 

5

IE406

 

Introduction to Data hiding and Applications.