BUSINESS DATA ANALYTICS

 

INTRODUCTION

Training program: Business Data Analytics (code: experimental program)
Duration: 4 years (8 semesters)
Teaching language: English
Mode of study: Full time in VNU International School
Degree: Bachelor’s Degree awarded by Vietnam National University Hanoi

WHY DO YOU CHOOSE THE PROGRAM?

The Bachelor program of Business Data Analytics (BDA) was licensed by Vietnam National University according to Decision No. 941/QD-DHQGHN, issued in April 3rd, 2019 as a VNU’s unit-based highly-qualified training program; beginning in the academic year 2019-2020.

The program structure, teaching and assessment methods are designed based on the Pensylvania University (US)’ program, entirely conducted in foreign languages in accordance with international training standards, 20-25% major-based subjects are taught by foreign lecturers. VNU-IS always strives to ensure that 100% textbook and reference materials for major-based subjects are being used in foreign universities. The expected value of the graduates’ satisfactation is received also through field trips, study tours, learning from guest speakers, benefit from working on real case studies, graduation projects, which help students put their knowledge into practice.

BDA is a highly interdisciplinary major with the combination of mathematics, statistics, economics, finance, marketing, and computer science involving diverse methods and techniques to exploit and transform data into useful information for making decision, building strategies and plans, operating activities, optimizing the use of sources of big datain businesses, organizations, . Graduates from this program have basic knowledge in data science, economics, and managements, also in-depth knowledge in business data analysis; have ability to handle problems related to business data analysis; perform financial and marketing analysis and forecasting in operation of corporation in particular, and the economy in general; fluently use data analysis tools; have personal skills and job skills to work in interdisciplinary, multicultural and multinational environment with high international integration.

No

Subject code

Subjects

Credits

Credit hours

Pre-requisite (s) subject code

Theory

Practice

Self-study

I

General knowledge module

(Subject 8-9 are not included)

21

 

 

 

 

1               

PHI1006

Marxist-Leninist Philosophy

3

30

15

0

 

2               

PEC1008

Marx-Lenin Political Economy

2

20

10

0

PHI1006

3               

PHI1002

Scientific Socialism

2

30

0

0

 

4               

HIS1001

Revolutionary Guidelines of Vietnam Communist Party

2

20

10

0

 

5               

POL1001

Ho Chi Minh’s Ideology

2

20

10

0

 

6               

FLF1107

English B1

5

20

35

20

 

7               

FLF1108

English B2

5

20

35

20

 

8               

 

Physical Education

4

 

 

 

 

9               

 

National Defence Education

8

 

 

 

 

II

Field-Based Knowledge

23

 

 

 

 

10           

INS1014

English for Academic Purposes 1

4

30

30

0

 

11           

INS1053

Introduction to BDA

2

15

15

0

 

12           

INT1004

Introduction to Informatics 2

3

17

28

0

 

13           

MAT1092

Advanced Mathematics

4

45

15

0

 

14           

MAT1004

Theory of Probability and Mathematical Statistics

3

27

18

0

 

15           

INS2065

Computer Based Technologies

2

18

12

0

INT1004

16           

INS2020

Programming 1

3

30

15

0

 

17           

PSY1050

Introduction to Psychology

2

24

6

0

 

III

Area-Based Knowledge

14

 

 

 

 

18           

INS3009

Entrepreneurship

3

36

9

0

 

19           

THL1057

Introduction to Law

2

24

6

0

 

20           

INE1050

Microeconomics

3

36

9

0

 

21           

INE1051

Macroeconomics

3

36

9

0

 

22           

INS2019

Business Organization and Management

3

36

9

0

 

IV

Discipline-Based Knowledge

24

 

 

 

 

IV.1

Compulsory subjects

18

 

 

 

 

23           

INS3063

Enterprise Analytics for Decision Support

3

27

18

0

 

24           

INS3062

Principles of Information Security

3

27

18

0

INS2025

25           

INS2023

Operations Management

3

36

9

0

INS2019

26           

INS2037

Business Information Systems and Processes

3

27

18

0

INT1004

 

27           

INS2051

Quantitative Methods for Management

3

27

18

0

MAT1004

28           

INS2055

Database Systems

3

27

18

0

INT1004

IV.2

Elective subjects

06/18

 

 

 

 

29           

INS2022

Legal, Ethical, Social Environment of Business

3

27

18

0

THL1057

30           

INS2058

Intellectual Property Rights

3

27

18

0

THL1057

31           

INS2053

Web Authoring and Web Management

3

27

18

0

INT1004

32           

INS3066

Enterprise Business Solutions

3

27

18

0

INS2023

33           

INS3059

IT Project Management

3

27

18

0

INS2023

34           

INS2060

IT and Business Innovation

3

27

18

0

INS2019

V

Specialized Knowledge

63

 

 

 

 

V.1

Compulsory subjects

28

 

 

 

 

35           

INS2004

Economic Statistics

3

27

18

0

MAT1004

36           

INS2061

Data Mining and Business Analytics

3

27

18

0

MAT1004 INS2055

37           

INS3073

Data Warehousing and Business Analytics

3

30

15

0

INS3063

38           

INS3047

Python programming

3

27

18

0

INS2020

39           

INS3048

Optimization in Quantitative Management

3

27

18

0

INS2051

40           

INS3049

Econometrics

4

40

20

0

MAT1004

41           

INS3050

Data Structures and Algorithms

3

27

18

0

INS2020

42           

INS3075

Seminar

3

27

18

0

 

43           

INS3008

Project

3

27

18

0

 

V.2

Elective subjects

06/15

 

 

 

 

44           

INS3060

E-Commerce

3

27

18

0

 

45           

INS3076

Big Data Analytics

3

27

18

0

 

46           

INS3046

Machine Learning

3

27

18

0

MAT1004

47           

INS3061

Enterprise Information Systems

3

27

18

0

INS2019 INS2037

48           

INS3021

Supply Chain Management

3

27

18

0

 INS2019

V.3

Elective courses/ Specialized and supplementary courses

04/10

 

 

 

 

49           

INS1005

IT Research Methodology

2

18

12

0

INS1016

50           

INS2059

Leadership and Team Building

2

18

12

0

INS1016

51           

INS3077

Big Data, Big Responsibilities: The Law and Ethics of Business Analytics

2

20

10

0

 

52           

INS3078

Management Science

2

18

12

0

INS2051

53           

SOC1050

Introduction to Sociology

2

24

6

0

 

V.4

Selected in-depth knowledge electives

15

 

 

 

 

V.4.1

Analytical models development

15

 

 

 

 

54           

INS3079

Statistical Models for Data Analysis 1

3

27

18

0

 

55           

INS3082

Statistical Models for Data Analysis 2

3

27

18

0

INS3079

56           

INS3083

Data visualization and analytics

3

27

18

0

MAT1004

INS3047

57           

INS3069

Decision Support Systems

3

30

15

0

INS2061 INS3063

58           

INS3080

Artificial Intelligence

3

30

15

0

INS3061 INS2023

V.4.2

Financial data analysis

15

 

 

 

 

59           

INS2015

Fundamentals of Finance

3

30

15

0

INE1051

60           

INS3007

Corporate Finance

3

30

15

0

INS2015

61           

INS3084

Financial Time Series

3

30

15

0

INS2051

62           

INS3085

Financial Computing for Actuaries

3

30

15

0

INS2051

63           

FIB3005

Investment and Portfolio Management

3

30

15

0

INS3007

V.4.3

Marketing Data Analysis

15

 

 

 

 

64           

INS2003

Principles of Marketing

3

36

9

0

 

65           

INS3086

Data and Analysis for Marketing Decisions

3

36

9

0

INS2003

INS2061

66           

INS3087

Models for Marketing Strategy

3

36

9

0

 

67           

INS3088

Experiments for Business Decision Making

3

36

9

0

 

68           

INS3089

Quantitative Models in Marketing Research

3

36

9

0

INS2051

V.5

Internship and Graduation/ Alternative subjects for Dissertation

10

 

 

 

 

69           

INS4001

Internship

5

0

75

0

INS3059 INS3061

70           

INS4011

Graduation Thesis

5

0

75

0

 

 

Alternative subjects for Dissertation

 

 

 

 

 

71           

INS4016

Advanced Data Analytics

2

20

10

0

INS3046

72           

INS4017

Modern Data Mining

3

27

18

0

INS2061

Total

145

 

 

 

 

Graduates from Bachelor Program of Business Data Analytics are eligible to undertake the following positions: Business data analyst,  data analyzing technology specialist, data structure designing and managing specialist, data analyzing program developer, business analysis consultant, data analysis manager, business manager, business strategy specialist, market research and analysis specialist. Specifically:

In Finance and banking sector:

Specialist in customers, credit risks, and financial risks analysis; fraud prevention and company capacity record management. 

In consumer sector:

Specialist in market analysis, retail consumer analysis, and market research.

In supply management and logistics sector:

Specialist in revenue management and product management in the supply chain, and supply chain optimization.

In telecommunications, technology and internet sector:

Specialist in data analyzing, developling and structuring; demand forecasting to build development plans.

In resource and mining sector:

Specialist in price forecasting, instantly handling issues related to product lines, resource discovery and restoration.

In consulting sector:

Specialist in sector-based consulting and analyzing that applies high level analytical techniques.

In security and government sector:

Specialist in analyzing fraud, detecting civil servant crimes and preventing violent crimes.

In puclic service sector:

Specialist in improving public health quality and public policies; and decreasing number of prisoners.

In non-profit sector:

Specialist in fund raising, evidence-based social work supporting, and project optimizing.

International teller

Lecturer, researcher in training institutions, research institutes in business field.

This training model is expected to allow students to transfer to some prestigious partners such as Deakin University (Australia), Chatham University (United States) with equivalent credits recognition.

Refer to the following link for more information:  www.chuyentiep.khoaquocte.vn

Lecturers of the BDA program are those who are qualified and prestigious inside and outside VNU-Hanoi. Holding a masters degree or higher, they are trained in high-quality education countries such as: the USA, UK, Australia, Canada, etc. All lecturers meet the English proficiency standard to teach in English, and also have good professional knowledge and real life experience in their own field. In addition, VNU-IS has lecturer exchange programs with prestigious foreign universities, and foreign lecturers are in charge of some subjects in the program. The rate of foreign lecturers in this program is about 20% to 25% for major business courses. The teaching staff including domestic and foreign lecturers creates a community and an international environment in VNU-IS.

VNU-IS cooperated with Vietnam Institute for Advanced Studies in Mathematics (VIASM) in exploring researchers and lecturers from VIASM to participate in BDA from 2019.  

The Scholars attraction program of VNU in VNU-IS Hanoi (named as the program) is founded with the aim of promoting the experience, ability, intelligence of scholars who are working at renowned universities, scientific research centers all over the world to contribute to Vietnamese socio-economic development. The program also enhances the international integration index of VNU in general and the VNU-IS in particular; helps to create motivation; enables international training and researching environment; improves capacity for faculty staffs; receives application of advanced teaching, researching, and university managing technology transferred from foreign universities; and increases number of foreing teachers in VNU-IS.

The scholars under this program are teaching either full-time, part-time, or cooperate with the other faculty members for all the courses offered in VNU-IS. Lecturers of VNU-IS are encouraged to participate in preparing lectures, teaching and guiding students. During this process, students and VNU-IS faculty members are exposed to new approaches and working style at prestigious foreign institutions.

To optimise this activity’s objectives, scholars under this program will be given priority in teaching new courses or courses that require regular teaching method and knowledge updates, or the courses where there’s shortage in qualified lecturers.

 

LECTURERS

No.

Full name

Academic title

Degree

Major

1

Nguyen Hai Thanh

Assoc. Prof.

Dr

Informatic mathematics

2

Nguyen Thi Nguyet

Assoc. Prof.

Dr

Economics

3

Rachel Chung

 

Dr

Data Analysis

4

Tran Duc Quynh

 

Dr

Informatic mathematics

5

Nguyen Quang Thuan

 

Dr

Mathematics

6

Vu Viet Vu

 

Dr

Information Technology

7

Vu Thanh Tung

 

Dr

Computer Science

8

Do Ngoc Bich

 

Ms

Marketing

9

Do Phuong Huyen

 

Ms

Economics, Finance

10

Nguyen Phu Hung

 

Dr

Management and Finance

11

Francesco Meca

 

Ms

Business Administration

12

Tran Thi Oanh

 

Dr

Information Technology

13

Le Duy Tien

 

Ms

Information Technology

14

Hoang Kim Thu

 

Ms

Economics, Finance

15

Le Duc Thinh

 

Dr

Mathematics

16

Le Hoai Thu

 

Ms

English Teaching Method

17

Tom Denison

Professor

Dr

Information Technology

18

Le Van Lien

 

Dr

Finance – Accounting

19

Nguyen Ha Nam

Assoc. Prof.

Dr

Data science and Artificial Intelligence

20

Mai Anh

 

Dr

Business Administration

21

Lemai Nguyen

 

Dr

Business Analysis

22

Vu Xuan Doan

Assoc. Prof.

Dr

International business laws

23

Nguyen Thanh Tung

Assoc. Prof.

Dr

Information Technology

24

Nguyen Thi Anh Tho

 

Ms

Foreign economic Relations

25

Nguyen Thi Kim Anh

Assoc. Prof.

Dr

Business Administration

26

Nguyen Thi Lan Anh

 

Ms

English

27

Nguyen Thi Minh Huyen

 

Ms

Science in Management

28

Nguyen Thi Minh Thu

 

Ms

Economics

29

Man Quang Huy

Assoc. Prof.

Dr

Land planning and management

30

Nguyen Van Hanh

 

Dr

Informatic mathematics

31

Nguyen Thuy Anh

 

Dr

Economics

32

Nguyen Trung Hien

 

Dr

Business Administration

33

Le Thi Hoai An

Professor

Dr

Mathematics

34

Nguyen Hong Hanh

 

Dr

Electronics and service business

35

Pham Huong Trang

 

Ms

Business Administration

36

Pham Ngoc Hung

 

Dr

Information Technology

37

Pham Thi Hue

 

Dr

Management information systems

38

Pham Thi Lien

Assoc. Prof.

Dr

Business Administration

39

Pham Thi Thuy

 

Dr

Teaching English for Foreigners

40

Richard Pearl

 

Ms

Science in Management

41

Chiachi Tsan

Professor

Dr, USA

Business Administration

42

Sabri Boubaker

Professor

Dr, France

Finance

Enrolment Requirements:

– For candidates with VNU Competence Assessment Exam result: the result must be equal to minimum grade regulated by VNU

– For candidates with National High School Graduation result: based on the result of courses complex including Mathematics, Physics, Chemics (Bloc A), Mathematics, Physics, English (Bloc A1), Mathematics, Literature, Foreign language (Bloc D) in accordance with VNU’s requirements.

– Consideration principles: from highest to lowest results for targeted number of students. Candidates who are not eligible to the registered program may be automatically transfered to another one by VNU-IS.

– Consideration of direct recruitment or priority for candidates who either meet requirements stipulated in Enrolment Regulations released by MOET or come from Specialized High Schools in accordance with VNU’s requirements.

– Admitted students will do a English placement test provided by VNU-IS. Students who do not achieve Level 4 (B2) in Vietnamese Standardized Test of English Proficiency or equivalent will be considered to study in the English Preparatory Program (together with VNU General courses) in the first year so they can reach the required B2 English proficiency before studying General Business courses;

–    Around VND 186,000,000/course (equivalent to USD 8,000/course).

–    This amount will be adjusted due to the exchange rate of VietcomBank at billing time. 

The Business Data Analytics Program is approved and implemented on the basis of compliance with the structure and methodology of credit-based training. This method allows students to accumulate knowledge, proactively design learning plans, select appropriate learning progress according to their abilities, strength and personal circumstances;

This program applies advance teaching methods in prestigious universities in the world with the modification to suit the credit-based training method under VNU’s instruction No.776/DT in August 11th, 2006 in order to promote self-study, creative thinking, practical skills, team work skills, data research and processing skills, presentation and discussion skills, while strengthening the connection between training and scientific research, and improving the quality of training and teaching;

This program is gradually learning advanced teaching methods of modern education in the world (USA, Australia, and some other countries) through lectures of foreign teachers;

This program’s aim is to promote self-study in research orientation; focus on training, developing job skills, practice skills, and practical application;

This program encourages students work in teams, participate in case studies, group discussion, scientific research tutorial, report writing and presenting tutorials;

This program apply credit-based training method into Physical Education, Military Education, and Political Theory according to the general policy of VNU;

This program requires to organise internships and symposiums for students at relevant agencies and enterprises locally and internationally.

 

Admission Office, VNU-IS

G8 building, 144 Xuan Thuy, CauGiay, Hanoi; Phone No.: (04) 3754 80 65. Hotline: 0983 372 988, 01679 884 488.

Office of Student Affairs, VNU-IS

C building, HACINCO Student Village, 99 NguyNhuKon Tum, Thanh Xuan, Hanoi; Phone No.: (024) 3555 3555/ (024) 3557 5992 (ext: 36). Hotline: 0983 372 988, 01679 884 488.

Fax: (024) 6285 2313

Email: tuyensinh@khoaquocte.vn

Website:  www.khoaquocte.vn; www.is.vnu.edu.vn