South Asian University's Global MS in Intelligent Transportation Systems and Sustainable Mobility is a practice-oriented postgraduate programme designed for mid-career professionals seeking advanced expertise at the intersection of technology, policy, and transportation infrastructure. Strongly aligned with India's national priorities — particularly the deployment of Multi-Lane Free Flow (MLFF) tolling systems and intelligent mobility platforms — the programme aims to support the reduction of logistics costs from 12–14% to 6–8% of industrial output through data-driven systems. With a deliberate focus on South Asia and the Global South, academic inputs, case studies, and institutional collaborations will progressively draw on expertise from SAARC member countries.

Global & Regional Relevance

Transportation systems worldwide are undergoing rapid transformation. The programme responds to four converging forces reshaping the sector:

• Artificial Intelligence and advanced analytics
• Connected and autonomous mobility
• Climate and sustainability imperatives
• Digital infrastructure and smart cities

A significant gap exists in postgraduate-level professionals capable of bridging technology, policy, and on-ground implementation. This programme addresses that gap through a hybrid academic–industry model with strong regional relevance.

Discipline

The programme is multidisciplinary by design, targeting professionals across a range of sectors:

Candidates are assessed against the following criteria:

Academic qualification in the following area:

• Civil Engineering, with specialisation in Transportation or Infrastructure;
• Mechanical Engineering;
• Electrical or Electronics Engineering;
• Computer Science / Information Technology;
• Urban and Regional Planning;
• Architecture;
• Environmental Engineering or Environmental Science;
• Geography (with quantitative orientation);
• Economics (with strong analytical component);
• Public Policy or Public Administration;
• Infrastructure or Construction Management;

Multidisciplinary backgrounds are actively encouraged, and rigid discipline filters are deliberately avoided.

A minimum aggregate of 55% marks or equivalent CGPA in the qualifying degree shall ordinarily be required, subject to relaxation for reserved categories as per Government of India and University norms.

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Assessment & Evaluation

Evaluation follows an Outcome-Based Education (OBE) model with clearly weighted assessment components across all semesters:

Doctoral outputs may include applied research papers, industry-validated solutions, policy or technical frameworks, and presentations at recognized academic or professional forums.

Other Modalities

Matters relating to progress monitoring, credit completion, course submission, and final evaluation are governed under the applicable SAU Regulations, ensuring institutional consistency and academic rigour throughout the programme.

The admission process is structured across three stages: