Whether making a transaction, downloading an app or simply browsing the internet, every action we take generates data. Businesses collect and analyse this data to understand their customers and optimise their business strategies. Data is therefore becoming a “common language” that every economics student needs to know how to use.

🔹 Data is the foundation of every business decision

Understanding how to collect and analyse data helps you see clearly how businesses operate – from marketing and sales to finance.

🔹 Knowing how to read data means knowing how to seize opportunities

Based on data, businesses optimise profits, launch products at the right time and adjust their strategies more effectively.

🔹 Data analysis = A clear career advantage

This skill is increasingly required for entry-level positions and is a stepping stone for rapid advancement in a competitive environment.

👉 Whether in Finance or Marketing, data analysis is always an essential skill for any type of business. If you master data analysis skills, access to jobs paying thousands of dollars is entirely within reach, and it will also highlight to employers your ability to add value to a business.

The program is suitable for all students/alumni passionate about finance, economics and business administration. All further information about the FDC-K09 intake will be continuously updated on the program’s official Fanpage “Foreign Trade University – Data Science in Economics and Business”.

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SATELLITE PROGRAM “DATA SCIENCE IN ECONOMICS AND BUSINESS”

⏰ Application period: 17/07/2025 – 03/09/2025

📚 Expected opening date: September 6, 2025

✨ Mode of study: in-person classes at Foreign Trade University

❗️ Note: The system will automatically close applications once the intake is full

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FOR FURTHER DETAILS, PLEASE CONTACT:

🌐 Website: https://bit.ly/ftudatainbusiness

📧 Email: khdl@ftu.edu.vn

➡️ Official Fanpage “Foreign Trade University – Data Science in Economics and Business”

CHAPTER I. GENERAL PROVISIONS

Article 1. Scope of regulation and subjects of application

1. This Regulation covers: admission and enrollment, assessment of learning outcomes, recognition of program completion and award of certificates, deferral and withdrawal from the program.
2. This Regulation applies to learners of the Satellite Program “Data Science in Economics and Business”.

Article 2. Courses

Courses in the Satellite Program include:

1. Prerequisite courses: When joining the program, learners must have completed the two courses Advanced Mathematics and Probability Theory and Mathematical Statistics, or equivalent courses. The results of these two courses may be converted from equivalent courses in the learner’s undergraduate academic program according to the list of courses equivalent to the prerequisite courses. (Appendix 1)
2. Core courses of the program: courses containing the essential knowledge of the program, which learners are required to complete, comprising 3 courses:

• Databases;
• Programming for Data Analysis and Scientific Computing;
• Advanced Analytics in Economics and Business.

CHAPTER II. ADMISSION AND ENROLLMENT

Article 3. Admission and entry requirements

Learners join the program according to the following procedure:

1. Learners register to join the program when an announcement is made and provide full evidence that they have completed or are currently taking the 2 prerequisite courses (Advanced Mathematics, Probability Theory and Mathematical Statistics, or equivalent courses).
2. Learners are eligible for admission to the program when they obtain a “Pass” result in the entrance test, which consists of 1 multiple-choice reasoning test and an essay.

Article 4. Enrollment

1. Learners must pay the full tuition fee before the program starts, complete the enrollment procedures as instructed and fully declare the information required by the Program;
2. Each learner is assigned a unique learner ID. If the learner is a student currently studying at Foreign Trade University at the start of the course, the learner uses the student ID already assigned as the learner ID. This ID is used throughout the learner’s participation in the program;
3. The University is responsible for providing full information on the objectives, content and training plans of the programs; the training regulations, and the obligations and rights of learners when participating in the program.

CHAPTER III. ASSESSMENT OF LEARNING OUTCOMES

Article 5. Methods, content and forms of course testing and assessment

1. Testing and assessment methods include (but are not limited to): presentations, objective tests (true/false questions, multiple-choice questions, matching questions, ordering questions), written tests (short answers, true/false questions with explanation, case studies…), oral examinations, essays, projects, thematic reports, practical work and other methods, or a combination of the above;
2. The methods, content and forms of course testing and assessment and the weight of each component score must be specified in the detailed course syllabus approved by the Rector and publicly announced by the lecturer to learners before the course begins;
3. Learners are only allowed to sit the final examination of a course if they meet all of the following conditions: attending at least 75% of the class periods prescribed for the course; and having an attendance score and midterm score of 4.0 or higher (on a 10-point scale).
4. If unable to take a test as scheduled, learners must notify the training management unit before the exam date to complete the procedures for rescheduling or exam postponement in accordance with the training regulations of Foreign Trade University.

Article 6. Calculation of component scores and course scores

1. Component scores and final examination scores are graded on a 10-point scale (from 0 to 10) and rounded to one decimal place;
2. The course score is calculated as the sum of the component scores multiplied by their respective weights, rounded to one decimal place and classified into letter grades as follows:
3. Graded pass levels, applicable to courses counted towards the cumulative grade point average (CGPA), including:

A (8.5 – 10.0)

B (7.0- 8.4)

C (5.5 – 6.9)

D (4.0 – 5.4)

Article 7. Ranking and commendation of learners

1. At the end of each course intake, the University ranks learners by their CGPA for the courses taught in the intake and selects the 05 learners with the highest CGPA (calculated to two decimal places) for commendation;
2. If several learners have the same CGPA, the University applies the secondary criterion of the score for the Databases course (FDC103).

CHAPTER IV. RECOGNITION OF PROGRAM COMPLETION AND AWARD OF CERTIFICATES

Article 8. Recognition of program completion and award of certificates to learners

Learners are awarded a certificate when they meet all of the following conditions:

1. Having accumulated sufficient credits for the prerequisite courses when joining the program;
2. Having a final score of 4.0 or higher (on a 10-point scale) in each course taken in the program.

For learners who do not meet the conditions for a certificate, the University will only issue an academic transcript.

CHAPTER V. DEFERRAL AND WITHDRAWAL FROM THE PROGRAM

Article 9. Deferral and withdrawal from the program

Procedures for suspending the program and resuming study after the suspension period:

1. Learners who suspend the program and defer their learning results must submit an application using the form (Appendix 2) to the training management unit no later than 02 weeks from the start date of the course (in the case of suspending a course) or 02 weeks from the start date of the program intake and before the midterm test (in the case of suspending the entire program). After this deadline, learners are obliged to pay tuition fees and receive actual scores for the courses registered in the semester (except in cases of illness or unexpected accidents). Learners may only defer for the duration of 1 intake, and tuition fees will not be refunded;
2. Learners who have suspended the program and wish to return must submit an application to resume study using the form (Appendix 2) to the training management unit no later than 01 week before the new intake begins;
3. Other cases will be considered and decided by the program’s training management unit on a case-by-case basis.

APPENDIX 1: LIST OF COURSES EQUIVALENT TO THE PREREQUISITE COURSES

APPENDIX 2: APPLICATION FORMS FOR DEFERRAL AND RE-ENROLLMENT

• Deferral application form

Application for deferral of admission results: Application form

• Re-enrollment application form

Application for re-enrollment after deferral: Application form

The Satellite Program “Data Science in Economics and Business” is designed for students and learners who do not major in information technology but wish to learn about and apply data science; therefore, no in-depth knowledge of or work experience in mathematics or computer science is required. The program provides learners with fundamental knowledge of applied programming, data mining and database management systems, equipping them with the most essential foundation to explore data science further on their own, especially applications of data science in economics and business.

Foreign Trade University officially opens applications for Cohort 4 of the Satellite Program “DATA SCIENCE IN ECONOMICS AND BUSINESS”.

Register only here <<<<<

ADMISSION INFORMATION

• Expected registration period: From October 17, 2022 to November 6, 2022
• After successful registration, applicants will take an entrance assessment test. Expected entrance test dates: November 10, 2022 to November 15, 2022
• Expected opening date: Saturday, November 26, 2022

COURSE TUITION FEES

Tuition fee for the entire course: VND 15,000,000.

Special discounts for the following groups:

Current students of Foreign Trade University: VND 11,000,000/course;

Alumni of Foreign Trade University or learners referred by Datapot: VND 12,000,000/course.

CLASS SCHEDULE

The course will run for 3 months with 3 sessions per week

• Tuesday and Thursday evenings (7:00 p.m.–9:30 p.m.)
• Saturday mornings (8:30 a.m.–12:00 p.m.)

ENTRY REQUIREMENTS

• Learners have completed or are currently taking 2 courses: Advanced Mathematics + Probability Theory and Mathematical Statistics or Econometrics (or equivalent courses at other universities).
• Achieve the minimum score required by the program in the entrance knowledge test

COURSE CONTENT

During the course, students and learners will study 3 main modules over 12 weeks:

– Database (Data Management System)

– Programming for Data Analysis and Scientific Computing (Programming for Data Analysis and Scientific Computing)

– Advanced Analytics in Economics and Business (Advanced Analytics in Economics and Business)

BENEFITS OF PARTICIPATION

The opportunity to learn from highly experienced industry experts.

Hands-on practice with real data from large enterprises that are partners of the program.

A certificate of completion of the satellite course, together with a transcript, issued by the Rector of Foreign Trade University.

In particular, FTU students participating in the program will: Have credits recognised for the two courses Database and Programming for Scientific Computing and Data Analysis included in the full-time academic programs of Foreign Trade University;

Students and learners will take an entrance competency assessment and write an SOP essay before officially starting the study phase. Foreign Trade University and Datapot Center will select participants for the program based on the assessment results.

All further information about Cohort 4 will be continuously updated on the program’s official Fanpage “Foreign Trade University – Data Science in Economics and Business”.

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SATELLITE PROGRAM “DATA SCIENCE IN ECONOMICS AND BUSINESS”

For further details, please contact:

Email: khdl@ftu.edu.vn

☎️ Hotline: 0919265292

➡️ Official Fanpage “Foreign Trade University – Data Science in Economics and Business”: https://www.facebook.com/ftudatainbusiness

#FTUDataInBusiness

The course is designed in a comprehensive and systematic manner, from foundational knowledge to how to apply that knowledge and use tools to solve real-world problems at work. Upon completing the course, learners will have the competencies and skills needed to apply for Junior Data Analyst and Data Analyst positions in businesses.

Upon completing the course, learners will be equipped with the practical knowledge and skills to begin a promising career in data science. At the same time, learners will also gain a solid foundation for moving into more specialised fields such as Machine Learning, Artificial Intelligence, Business Intelligence and Database Management.

The overall program consists of 5 courses:

• Advanced Mathematics
• Probability Theory and Mathematical Statistics
• Databases
• Programming for Data Analysis and Scientific Computing
• Advanced Analytics in Economics and Business

Of these, Advanced Mathematics and Probability Theory and Mathematical Statistics are 2 courses that students/learners have already completed or are currently taking in their undergraduate academic program and will complete before the closing of the course. These are also prerequisites for students/learners who wish to register for the program. In addition, learners must complete an entrance competency assessment, be selected for the course and pay the tuition fees in full to be officially recognised as admitted.

The remaining three courses will be taught within a course lasting 12 weeks. Each course is equivalent to 3 credits in the undergraduate academic program.

Course: Databases

This course aims to give learners an overview of data storage methods, query techniques and database management. Learners have the opportunity to explore database design methods and tools, while gaining practical programming experience using Structured Query Language (SQL) to clean and transform data and perform calculations on a modern database system. Through this, learners will develop a way of thinking that links business operations, analytical needs and the way data is organised, stored and retrieved in a database.

Course: Programming for Data Analysis and Scientific Computing

Learners will become familiar with Python, a high-level programming language used in many fields, especially data science. In addition, learners will take part directly in every stage of the development process of a data science project, from application programming to data processing, data visualisation, predictive modelling and decision-making, under the guidance and support of the lecturers.

Course: Advanced Analytics in Economics and Business

Learners will develop their analytical thinking, data-driven problem-solving skills and the ability to apply analytical methods to help determine the best course of action for real-world situations in a business context, and then interpret and communicate the results using appropriate visualisation techniques. The course content is closely linked to practical work in the field of Business Intelligence and is taught using the PBL (project-based learning) model. Upon completing this course, learners will have the knowledge and skills needed to sit the Microsoft Data Analyst Associate certification exam.

The course is organised with the aim of equipping interested Foreign Trade University students with highly applied, interdisciplinary and up-to-date professional knowledge and skills in data science, especially its applications in economics and business, thereby enhancing their personal value and opening up many new career opportunities.

As learners in the program, you will have the opportunity to learn from highly experienced industry experts; to practise working with real data from large enterprises that are partners of the program; and to be awarded a satellite course completion certificate together with a transcript issued by the Rector of Foreign Trade University.

In particular, Foreign Trade University students who join the program will be entitled to credit recognition for the two courses Databases and Programming for Scientific Computing and Data Analysis, as applicable to full-time (formal) undergraduate students of Foreign Trade University.

Watch the program introduction video here <<<<<

To meet learners’ needs in data science, Foreign Trade University is cooperating with the Datapot Center to jointly deliver training and award certificates for the Satellite Program “Data Science in Economics and Business”.

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SATELLITE PROGRAM “DATA SCIENCE IN ECONOMICS AND BUSINESS”

For further details, please contact:

➡️Email: khdl@ftu.edu.vn

➡️ Official Fanpage “Foreign Trade University – Data Science in Economics and Business” here <<<<<

➡️ Latest admission information: see here <<<<<

#FTUDataInBusiness