1. Program Learning Outcomes
The Master of Science in Digital Economy program is designed for students who wish to further develop/upgrade their knowledge and skills in the fields of digital economy, smart city management planning and financial technology. Students will complete 48 credit hours comprising of 36 credits for basic core courses, major courses and elective courses and 12 credits for thesis.
Under this program, the students may select any research topic in any field of studies including digital economy, smart city management planning or financial technology.
Under this program, the students are encouraged to actively participate in laboratory activities, guest lectures/workshops and local/oversea study tours.
2. Admission Requirements
Applicants must possess a Bachelor’s degree in Information Technology, Digital Economy, Financial Technology, Smart City Management Planning, Finance, Economics, Management or any other equivalent qualification recognized by the Ministry of Education Youth and Sport. Applicant must successfully defend the research proposal and English proficiency test.
*Note: Your research proposal for Master’s Thesis generally should include the following items (i) topic of Master’s Thesis, (ii) introduction to the research problem, (iii) research problem, (iv) research questions, (v) methodology, (vi) significances of your research, and (vii) timeline for your research. Applicant should submit a proposal of 3-5 pages in PDF file to School of Graduate Studies of NUM. Only applicants in the shortlist will be called for proposal defenses and English tests.
3. Schedule
| MONDAY – FRIDAY: 5:30PM – 8:30PM | WEEKEND CLASS: SATURDAY & SUNDAY (Not available now) |
4. Semester Breakdown
| YEAR I | |||
| Semester 1 (4 Basic Courses +1 Seminar) | Credit 13 | Semester 2 (2 Majors+ 2 Electives+1 Seminar) | Credit 13 |
| MDE501-Introduction to Digital Economics (Digital Economics) | 3 | MDE511-Economics of Data, Analytics and Transformation (Digital Economics) | 3 |
| MDE502-Technical Analysis of Financial Markets (Financial Technology) | 3 | MDE512-Blockchain Economics and Financial Market Innovation (Financial Technology) | 3 |
| MDE503-Components of Smart City Infrastructure (Smart City) | 3 | MDE521-Artificial Intelligence and Machine Learning in Smart City Planning (Smart City) | 3 |
| MDE504-Web 3 Technology for Business (Technology) | 3 | MDE522- Blockchain- A Practical Guideline to Develop Business, Law and Technology Solutions (Technology) | 3 |
| Specialized Seminar I* (Digital Economy, FinTech, Smart City) | 1 | Specialized Seminar II** (Digital Economy, FinTech, Smart City) | 1 |
| YEAR II | |||
| Semester 1 (3 Majors+ 1 Elective+1 Seminar) | Credit 13 | Semester 2 Research Thesis | Credit 12 |
| MDE611-Statistical and Machine-Learning Data Mining-Techniques for Better Predictive Modeling and Analysis of Big Data (Digital Economics) | 3 | Research Thesis**** (including Specialized Seminars I*, II**, III**) | 9 (3) |
| MDE612-Decentralize Finance: How Financial Innovation is Transforming the Banking Industry (Financial Technology) | 3 | ||
| MDE613-Research Methodology | 3 | ||
| MDE621-Challenges and Solutions for Sustainable Smart City Development (Smart City) | 3 | ||
| Specialized Seminar III** (Digital Economy, FinTech, Smart City) | 1 | ||
(*,**,***,**** are under each student’s Academic Supervisor)