In order to meet the demand for data science/big data technology in mainland China, City University of Macau has launched a Doctor of Philosophy Programme in data science (Doctor of Philosophy in Data Science), introducing a new teaching model through a multi-disciplinary big data course system. , aiming to cultivate big data-based thinking and literacy, data science/big data with skills related to data analysis and application, broad knowledge, ability to independently acquire knowledge, strong practical ability, awareness of innovation and teamwork awareness Professional talents.
The training unit for the Data Science Doctor of Philosophy Programme is the Faculty of Data Science. Since its establishment, the college has taken "creating Asia's first-class data science" as its mission. The institute adheres to the City University of Macau’s mission of “rooted in Macau and serving the region”, and adheres to the purpose of adhering to innovation and openness, being demand-oriented, and quality first; to cultivate multi-level, practical, complex, and international data science/ Big data talents are the goal; the training direction is determined according to the needs of enterprises and fields, and flexible and dynamic teaching plans are formulated according to industry needs, integrating finance, tourism management, urban governance and education and other disciplines with cutting-edge technology education throughout, and comprehensively strengthening Quality education focuses on cultivating students' innovation, entrepreneurship and practical abilities; learning from international talent training experience and striving to achieve innovation in teaching models and content, curriculum innovation, and teaching method innovation.
1. Subjects admitted in 2024
Admissions Major: Data Science
Enterprise decision-making and government administration in the era of big data rely on the insight, organization, analysis, governance and implementation of data. This major combines the needs of industry, urban governance and government management for data analysis to cultivate data insight and organizational capabilities, big data development capabilities, application capabilities, smart business analysis capabilities and data governance capabilities, as well as social science, Theoretical foundations in disciplines such as humanities and engineering apply data-driven decision-making technology to complex senior talents in various industries, all of which are cultivating big data in industries such as smart cities, smart business, smart tourism, financial services, smart education, and smart governance. Application expertise. The main professional required courses include: "Data Science Frontier Analysis Research", "Artificial Intelligence and Bayesian Analysis", "Data Collection Theory, System and Technology", "Big Data Decision-making and Thinking", "Big Data and Social Governance Research" "wait.
The teaching language is bilingual "Chinese and English".
2. Training goals and characteristics
In view of the current situation of the industry and the development requirements of the times, we are based on solid theory and guided by practical value to cultivate high-level and compound talents needed by the times; we insist on cross-disciplinary learning and case teaching and use rich resources through exchanges and cooperation with the business community. Social resources to cultivate business management and technical talents with big data thinking. On the basis of adhering to the combination of theory and practice, and the combination of business and technology, it focuses on cultivating students' data insight, prediction, analysis, and problem-solving abilities.
3. Future employment and application prospects
Data has become a hot topic of great concern in industry, business circles, academia, and even governments around the world, and has become an important production factor in industries and business functions. Jobs such as data scientists, data analysts, business analysts, and data architects have become "the most attractive jobs in the 21st century" and have become the hottest jobs in the world. From 2013 to 2017, not long after the national strategy of "Digital China" was proposed, the information infrastructure was still in its early stages of development, and the emerging position of data analysts in line with the development of the times was growing at a growth rate of 2.3%. In recent years, more and more companies have joined the process of digital transformation, and the information infrastructure has matured, which has also stimulated market demand for data-related positions. In 2020, the latest emerging careers report released by LinkedIn shows that 15 emerging positions are growing at an annual growth rate of more than 20%. Among them, the proportion of positions with data analysis as the main job function accounts for 20%, namely artificial intelligence experts, data scientists, and data engineers.
"China Big Data Analysis Talent Survey Report 2018" pointed out that the average monthly salary level of data analysts with a doctorate degree or above is 21k; the equivalent monthly salary of a master's degree and postgraduate degree is 17.5k. The demand for data analysts grew exponentially from 2014 to 2018, with steady growth in various regions. The number of positions at the end of 2015 increased by 2.6 times compared with 2014, and the number of positions in 2018 increased by 4 times compared with 2014.
With the accelerated development of big data, the recruitment demand for data analysts has shown a growth trend since 2016, and it is predicted that the recruitment demand in the market will still grow significantly in the future; in particular, the Guangdong-Hong Kong-Macao Greater Bay Area is accelerating the spatial agglomeration of the digital technology industry. Promote basic innovation in information technology, create new advantages in basic information industries, actively build big data industry clusters, jointly improve artificial intelligence industry clusters, vigorously build world-class smart city clusters, and build a world-class financial center. Therefore, the employment prospects are extremely broad, and the wages are generous.
4. Learning methods and years of study
1.The study mode is full-time.
2. The basic study period for doctoral students is 3 years, and the maximum extended study period is 7 years.
5. Tuition fees, application qualifications, application procedures, application fees, preliminary review and review, admission, enrollment, graduation and degree awarding
See the City University of Macau postgraduate admissions website (http://ado.cityu.edu.mo/)
6. Contact information
Admissions Affairs, University Admissions Office
Phone: +853-8590 2710
Email: ado@cityu.edu.mo
Graduate Academic Affairs: Faculty of Data Science
Phone: +853-85902843
Email: fdsinfo@cityu.edu.mo
