About

In this digital world, everyone has at least one mobile phone by their side, computers and the Internet are available anytime, anywhere. People are generating diverse and large amounts of information all the time. These electronic carriers will generate and transmit large amounts and diverse data any time. The era of data science has come, and the future will be the era of data science.

In the era of data science, what capabilities must acquire that companies need? In short, they required the capabilities includes product and market analysis and business intelligence abilities. Product and market analysis mainly used to understand the development of the industry. Business intelligence mainly analyzes and organized the data owned by the enterprise, and discover effective information, it helps the enterprise make business decision.

Therefore, Data Scientists will become the most needed personnel in enterprise. Since the business relation of enterprise are closer, the ability of understanding data correctly, immediately and deeply will require more than before. At the same time, good data analysis personnel must be able to be familiar with effective analysis techniques and software tools and do in-depth analysis and processing of big data information.

The trend of data science cannot be ignored

With the popularization of the Internet and development of cloud computing, the acquisition and analysis of big data has brought new thinking to people, subverting the understanding and operation mode in many fields, from e-commerce, social life, public administration, health care, education and learning are deeply affected.

This concept extends from Data Mining. Each field has a large amount of databases, but it cannot be effectively interpreted or even use those data. “Big data management” is using technology to analyze those data. Dig out information that is helpful to the society and commercial value, and use this information to reduce the uncertainty of our understanding of the future. It helps us grasp the trend in the era of Data Technology and become the personnel that the enterprise needs in the future.

Cultivate data talents who keep pace with trends.

Data Science has become the model of development trend. The requirement of industry are immediacy, accuracy, and depth (Insight) of information analysis are rising with technological evolution. Therefore, our academy cultivates data analysis elite with practical experience and design practical application oriented courses in combination with industry resources. Integrates multiple trainings such as mathematics, statistics, information science and business administration knowledge. In order to strengthen the course content of both theory and practice, students must enter the enterprise for internship before graduation, understand the problems faced by industry through the internship. The school cooperate with the industry’s practitioners to design practical courses and actively cooperates with the industry. Cooperate to help enterprises solve the problems of huge and complex data content that they are currently facing.

Finally, in combination with the long-term cultural and practical exchanges between the school and government agencies and financial institutions, establish cooperative relations with industry, government and academia, and plan teaching activities that combine relevant theory and practice.

In this digital world, everyone has at least one mobile phone, the Internet and computers are everywhere. People generate a large amount of diverse data all the time. Large and varied data are generated and transmitted at any time. The wave of “big data” has been overwhelming. In response to the era of global big data in the next 10 to 20 years, the trend of the school is to “integrate” and “innovate” as the core and “practical application” as the guide to cultivate students. With both theoretical and practical experience, he can become a data analysis talent in the industry after graduation.

Cultivate data talents

Data-intensive science has become the first model of the development trend. The industry’s requirements for the immediacy, accuracy, and depth (Insight) of information analysis have risen with the evolution of technology. Therefore, the institute cultivates “data analysis talents with practical experience”, Combining industry resources to design “practical application”-oriented courses, integrating multiple trainings such as mathematics, statistics, information and business knowledge. In order to strengthen the course content of both theory and practice, students must enter the enterprise for internship before graduation, and understand the problems faced by the industry through the internship. The school cooperates with the industry’s practitioners to design practical courses and actively cooperates with the industry. Cooperate to help enterprises solve the problems of huge and complex data content that they are currently facing. Finally, in combination with the long-term and stable practical exchanges between the school and government agencies and financial institutions, establish cooperative relations with industry, government and academia, and plan teaching activities that combine relevant theory and practice.

After several years of exploring together with companies that are at the cutting edge of digital transformation, the Institute of Big Data Management rethinks the definition of “future education”. Future educators are no longer the “giver” of individual knowledge, but closer to the “connector” of resources. When the threshold for acquiring knowledge is low, the quality is evenly distributed, and it is not limited by time and place, what students need is not just What and How, but more Wow and more Aha moments. The true value of teachers will be more prominent in the connection of resources, whether it is the penetration of knowledge in the inner field, the connection between theory and practice, the connection to peripheral educational resources, and first-hand information.

Influence of industry-university corporation

“Big data management” is to use technology to analyze and dig out information that is helpful to society and has commercial value. We use this information to reduce the uncertainty of our understanding of the future. Help us become a leader in data technology in the era of DT (DT, Data Technology), future talents who can grasp the trend. The School of big data Management is practice-oriented, recruiting teachers and professionals with both academic and practical experience in various fields to design more similarly courses that are closer to industrial application scenarios. The professional team invites not only the selection of practical experience, but also the creation of influence. We invites representatives such as R Ladies Julia Taiwan, Open AI Fab, Girls in Tech, Facebook Hackathon winners, etc., who are both technical and technical in the field of data science. Enthusiastic and influential opinion leaders serve as industry teachers, so that students’ learning is not limited to technology or application, but to use a more forward-looking career to gain insight into industry trends, explore social issues, and create influence.

International vision

Teaching in five main areas, including: mathematical statistics, programming, machine learning and artificial intelligence, data science, and field applications. International overview and grasp the world vision. Cross-university exchange programs with Caltech, Fudan School of Big Data, Harvard Medical School and other 130 high-quality universities around the world.
The capstone course introduces the problem-oriented curriculum design and capstone course arrangement of famous American schools. The enterprise sets the questions, and the students group into groups to simulate and solve real enterprise problems, so that students can think solidly, apply core abilities, and systematically analyze and solve problems. The students’ work can become the standard assessment of the portfolio, so as to achieve the goal of no gap between learning and practice.

Talent development plan

The internship system is based on the theory of enterprise use. According to the scenario of the enterprise, the core curriculum of data talents is designed to cultivate data talents. The school provides students with the skills needed by enterprises to create a win-win situation. The laboratory development plan launched in 2016 establishes laboratories based on different fields, provides students with multiple learning fields and exercises basic abilities. Implements mixed projects between different grades to establish a continuous learning organizational culture; students implement through projects The process triggers students’ understanding of motivation and knowledge.