Nanjing University of
Information Science & Technology


MSc 3S and Meteorological Applications

Program Code: 070626
Program Length: 3 years
Degree Type: Science


Brief Introduction:
The MSc 3S and Meteorological Applications is a second-level discipline belong to Meteorology. The students in this program should understand the theory and technology of GIS, RS, GPS and Meteorology, and could use the 3s technologies on practical problems.
Our courses are offered via full-time or part-time study, enabling you to tailor your study around your other commitments. Our 3S and Meteorological Applications courses provide excellent training in the multi-disciplinary aspects of meteorological application. You will advance your skills to enable you to develop your career, or to move onto further study.

The course content:
The program has 3 academic years. However, only the first 1 year students have courses to take. The other 2 years is for researching and thesis. The courses may include:

Semester 1
Atmospheric Boundary Layer Physics
Radar and Satellite Meteorology
Application of GIS in Meteorology
Spatial Data Analysis
Modern Climatology
Weather Dynamics
Atmospheric Physics and Atmospheric Sounding

Semester 2
Theory and Methods of 3s Integration
Applications of Meteorological Satellite
Atmospheric Radiative Transfer Theory
New technology in Remote Sensing
GIS technology - Advanced
Land Surface Processes
Distributed Meteorological and Hydrological Modeling
GIS Programming
GPS Meteorology
Meteorology Disaster
Quantitative Remote Sensing
Data Mining Technology
Spatial Database
Visualization of Spatial Information
C#.Net Programming
3S English

And all students in the MSc 3S and Meteorological Applications should publish more than one scientific paper and complete a thesis and its oral defense before they got their degrees. The major subjects including Application of GIS in Meteorology, Remote Sensing and Land Surface Processes, Eco- Environmental Remote Sensing, Meteorological Disaster Assessment and Monitoring, Water Environmental Remote Sensing.