NTU's New Data Science Master's: Your Best Shot at a Top University? An In-Depth Analysis

发布时间：Date: 2023-03-17 返回新鲜资讯Back to News

Nanyang Technological University (NTU), a top global university, has launched a Master of Science in Data Science (MSDS) under its College of Engineering, offering an excellent cost-effective opportunity for international students. The program is supported by the School of Computer Science and Engineering, ranked among the top 10 globally, and aims to cultivate interdisciplinary talents with skills in data collection, analysis, and visualization. As a newly introduced program, its admission threshold is relatively friendly compared to popular fields like Artificial Intelligence, with less competition – an ideal window for qualified candidates to get into a prestigious university. In terms of career prospects, the data science field faces a huge talent gap, providing graduates with broad employment opportunities and lucrative salaries in tech giants, financial institutions, biomedical industries, and more. CheersYou（清柚教育） advises students with backgrounds in engineering, mathematics, statistics, or computer science and who have taken relevant quantitative courses to pay close attention to this program. Seizing the early-adopter advantage of this new program can not only increase your chances of admission but also lay a solid foundation for future high-paying technical roles.

Data Science is a brand-new master's program launched by NTU in recent years, making it relatively easier to apply for. CheersYou（清柚教育） has prepared a detailed analysis for you. Students who are unaware should read the full article quickly and start preparing—don't miss out!

1. University Overview

Nanyang Technological University (NTU) is a comprehensive university with strengths in both engineering and business. It is also a founding member of the Association of Pacific Rim Universities, the Global AI Academic Alliance, and an initiating member of the International Alliance of Technological Universities. In world university rankings, it ranks 19th globally and 4th in Asia.

2. Program Introduction

The Master of Science in Data Science (MSDS) is offered by the School of Computer Science and Engineering under NTU's College of Engineering. The program aims to provide students with high-quality training in the field of data science.

Data science is a data-driven approach to problem-solving and scientific exploration, involving the processes of collecting, managing, analyzing, interpreting, and visualizing data and analytical results.

As one of the hottest big data directions currently, this program is most closely related to NTU's Artificial Intelligence program. Now with the addition of Data Science, students interested in popular fields have another opportunity to consider.

https://www.ntu.edu.sg/education/graduate-programme/master-of-science-in-data-science-(msds)#admission

3. Program Advantages

The Data Science program is a new program launched by NTU in recent years, making it much less competitive compared to other popular programs. At the same time, as a multidisciplinary field, data science currently has a large job gap, leading to excellent post-graduation employment prospects. Compensation is also very generous—for example, entry-level data scientists in Silicon Valley can earn six-figure USD salaries.

Moreover, NTU's School of Computer Science and Engineering (SCSE) is quite renowned and highly recognized internationally. In the latest U.S. News & World Report Best Global Universities rankings, the school is ranked among the top 10 globally for computer science.

https://www.ntu.edu.sg/scse

4. Suitable Applicant Background

Individuals interested in data and with a certain quantitative background

Students with undergraduate majors in Engineering, Mathematics, Statistics, or Computer Science

Those who have taken courses related to Training, Data Science Program, Computer Science Program, and similar fields

5. Career Directions and Development

Graduates of the Data Science program can enter large tech companies such as Google, pharmaceutical companies, or finance and banking. Many well-known banks require professionals who can build models, analyze data, and process data.

Common job titles include Data Scientist, Data Analyst, Business Intelligence Developer, Application Architect, Statistician, Machine Learning Engineer, and more.