Master of Science (M.Sc.) Transport Information Systems and Analytics Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

The program covers areas such as transportation data analysis, GIS, predictive modeling, and data-driven decision-making. Students acquire skills in collecting, analyzing, and utilizing transportation data for improved system efficiency.

Syllabus for M.Sc. in Transport Information Systems and Analytics Course

The Master of Science (M.Sc.) in Transport Information Systems and Analytics program offers an advanced syllabus that delves into the intricacies of transportation systems and data analysis. The curriculum typically includes courses in transportation data collection and analysis, geographic information systems (GIS) for transportation, data visualization, predictive modelling, and machine learning techniques applied to transportation data. Students may also study topics related to urban transportation planning, smart cities, and sustainable transportation. Furthermore, the program often includes hands-on projects and real-world case studies to provide practical experience in managing and analyzing transportation data. The aim of this program is to prepare graduates to become experts in harnessing data to optimize transportation systems, improve traffic management, and contribute to the development of more efficient and sustainable transportation solutions. While specific courses may vary by institution, the overarching focus is on equipping students with the skills needed for careers in transportation data analytics and management.

1st Year Syllabus of Master of Science (M.Sc.) Transport Information Systems and Analytics

S.No	Subjects
1	Transportation: Foundations and Methods
2	Frontier of Transportation Research
3	Demand Modeling
4	Resilient Networks
5	Logistics Systems
6	Behavioral Science and Urban Mobility

2nd Year Syllabus of Master of Science (M.Sc.) Transport Information Systems and Analytics

S.No	Subjects
1	Statistics, Computation and Applications
2	Statistical Learning Theory and Applications
3	Sustainable Energy
4	Behavioral Science and Urban Mobility
5	Economics of Energy, Innovation, and Sustainability
6	Urban Transportation Planning
7	Mapping and Evaluating New Energy Technologies