1 Objectives

Our discipline offers to prepare high-quality professional graduates in computer application, software engineering, large-scale software development and design and to train the students with fundamental theory in computer science and technology including computer science, information processing, artificial intelligence, knowledge and basic skills and methods.  Our mission is to foster high-quality innovative graduates with solid foundation and practical skills, development and project management ability.

2 Research fields

(1)   Big Data and Visual Analysis

The research on big data in the field of food, business and finance as the main research objects, using the methods of statistical learning, data mining, visualization, human-computer interaction, parallel computing theory, focuses on the research of large-scale data storage, representation and visual analysis model the parallel processing algorithm, construction method and visual analysis platform and tools about multidimensional data, relational data, time series data, spatial data, text data. The research solves the problem of the visual representation, interaction analysis and assistant decision making in the field of food safety, financial analysis, and business operation.

(2)   Commercial Internet of things

The research goal is to construct Internet of Things system for the fields of food, finance and business, embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data, not only to achieve the seamless connection of various equipment, and between people and the environment perception, communication and dialogue, but also set up a kind of harmonious relationship between human and environment. This is the interdiscipline of wireless sensor networks, mobile computing, system software, embedded system, environment aware computing, human-computer interaction, data processing, information credibility and network safety etc.

(3)   Data Mining and Social Computing

This research area focuses on data mining of food security, financial, Internet, and social networks. In order to explorer data patterns and predict future events, statistical learning, multi-dimensional analysis theory, natural language processing and other large data processing methods are widely used.

(4)   Mobile computing and cloud service

Mobile computing and cloud service is a new direction arising with the development of mobile internet and distributed computing technology. Research is focused on the computing models and resource sharing problems of computer or other intelligent terminal devices in a wireless environment. The ultimate goal is to be able to provide the useful, accurate and timely information as a service on demand of any customer at anytime and anywhere. The direction of research focuses on cloud resource integration and collaborative business models, methods, techniques and software platform and system. It is to achieve seamless sharing and instant collaboration application by establishing a wireless environment in the field of information technology infrastructure and resources. This direction is an integration and extension of software engineering, distributed computing and mobile communications.

3 Length of Schooling and Requirements

The length of full-time master program is 2 years. The maximum learning period may not exceed 4 years. It includes half year of course, one and a half years of final dissertation (may have internship). The program is credit-based. It will lead to Master degree after obtaining 29 credits.

4 Course Schedule

5 Master’s Project

MS candidates must complete a master’s project or thesis. Projects are carried out with the approval of, and under the supervision of, a faculty member. A master’s project need be expanded into a master’s thesis, which requires two faculty readers.