M. Tech Program in Transportation Engineering

The program aims at preparing students for positions in industry, government, and future Ph.D. studies by equipping them with analytical, practical, and technical skills which will be instrumental in serving the current and future technologies, research, and innovation in Transportation Engineering.

Transportation Engineering

The program aims at preparing students for positions in industry, government, and future Ph.D. studies by equipping them with analytical, practical, and technical skills which will be instrumental in serving the current and future technologies, research, and innovation in Transportation Engineering. The curriculum was designed by the faculty who works closely with the transportation professionals to ensure that all necessary transportation aspects are covered in it. The courses in the curriculum provide the knowledge and skill set in topics like Intelligent transportation systems, Road safety engineering, travel demand modelling, traffic operations, freight transportation, and transportation data analytics. Students also get hands-on experience in particular areas like Vehicle and pedestrian simulation, Highway design, transportation systems planning, etc.

About the Program

The M.Tech. in Transportation Engineering offered by the Department of Civil Engineering at Mahindra University comprises thirteen teaching course units worth 47 credits (including practical components) and a thesis worth 15 credits out of a total of 62 credits. The teaching courses will cover fundamental and advanced aspects of theoretical and practical orientation of transportation. All traditional course contents are upgraded and introduced new courses as per industry needs. Most of the courses are embedded with the laboratory which provides the students with hands-on experience which makes them to confident while solving real-world problems. Another highlight of this course is students can choose the internship period (depending on the requirements and student interests) of 8-12 weeks/6 months/one year, which will enhance the student’s understanding of practical problems.

The uniqueness of the curriculum is the strong emphasis on Transportation Systems and their modelling along with the conventional transportation courses and laboratories (both computational and experimental), interdisciplinary elective courses, and programming and software skills required for industrial applications. The students are trained in various popular transportation software which makes them industry ready. Electives can be chosen from a wide variety of options across various departments of the University. Overall, the course content is designed to suit the industry needs of the transportation engineering profession.

Program Outcomes

Graduates of the program are expected to

  • Plan, analyze, design, and execute transportation infrastructure projects
  • Apply the knowledge of basic science, engineering, and optimization techniques to solve transportation engineering problems
  • Become a member of an interdisciplinary team and execute projects of multidisciplinary nature
  • Demonstrate knowledge and understanding of the transportation engineering and management principles and apply these to manage projects

Tentative Courses

The curriculum of the proposed program has a balance of courses in Transport planning, traffic engineering, and pavement design. Students undergo mandatory ‘core’ courses in the basics of all the streams in the first and second semesters and apply the knowledge in the capstone project. Further to these, students have the option of choosing electives that would deepen their knowledge in selected streams. The curriculum is designed to make the graduates future-ready by incorporating differentiators such as Intelligent transport systems in the basic requirements. Further, the program is structured in such a way that an extended internship/ research project can be carried out in the second year.

Proposed Course Curriculum Outline – Semester Wise


Semester - I
S No Code Course L T P Credits
1   Urban Transportation Planning 3 0 0 3
2   Traffic Engineering and Management 3 0 2 4
3   Highway Materials, Testing, and Characterization 3 0 2 4
4   Geometric Design of Transportation Facilities 3 0 2 4
5   Computational Laboratory (MATLAB, Python, etc.) 0 0 4 2
6   Elective I 3 0 0 3
Total Credits 15 0 10 20
Semester - II
S No Code Course L T P Credits
7   Pavement Design and Management 3 0 2 4
8   Optimization models and methods in
Transportation Engineering
3 0 0 3
9   Road Safety Engineering 3 0 0 3
10   Intelligent Transportation Systems 3 0 0 3
11   Transportation Software Laboratory (Vssim, Visum,
Cube, Open Roads, etc.)
0 0 4 2
12   Elective - II 3 0 0 3
13   Open Elective 3 0 0 3
Total Credits 18 0 6 21
S No Code Course L T P Credits
14   Capstone Project (Vissim / Visum or Cube / Open
0 0 6 3
15   Elective - III 3 0 0 3
16   Industry seminars 0 0 0 0
17   Thesis - 1 0 0 6 3
Total Credits 6   6 9
S No Code Course L T P Credits
19   Thesis - 2 0 0 24 12
Total Credits   12

Electives: (1st and 2nd semesters)

Elective – 1

  • Big data analytics in Transportation
  • Highway Asset Management (includes HDM - 4)
  • Freight Transportation Systems and Modelling (supply chain management)
  • Transportation Data Science (probability and statistics)

Elective – 2

  • Transportation Economics
  • Mass Rapid Transportation
  • Transportation Policies and Financing (congestion pricing, TOD, Mode shift, etc.)
  • Behavioural Travel Modelling
  • GIS for Transportation Systems
  • Environmental Impacts of Transportation
  • Sustainable Transportation Materials
  • Sustainable and Green Mobility systems
  • Advanced Travel Demand Modelling
  • Traffic Flow Modelling and Simulation
  • High-Speed Rail Engineering
  • Airport Infrastructure Planning and Design

Elective - 3

  • Future Mobility Innovations (MaaS, Smart Cities, Digital technologies in Mobility, Clean technologies, etc.)
  • Pavement Evaluation and Rehabilitation
  • Transit Oriented Development (includes Urban forms, Land use models, TOD, and Gentrification)
  • Low Volume Roads

Open Electives (2nd semester)

  • Autonomous and connected vehicles
  • Wireless sensors and their applications (IoT applications)
  • Vehicle dynamics in transportation engineering
  • Electric vehicles and their infrastructure
  • AI and ML applications in Transportation
Eligibility Criteria

Admission Process

B.Tech./ BE (or equivalent) in Civil Engineering with a minimum of 60% marks

Admission Procedure

  • Shortlisting of applications is
    • Based on the percentile score in the GATE examination.
    • Based on the performance in the written test conducted by Mahindra University.
  • All shortlisted candidates will have to appear for a personal interview for final selection.

Expected Intake: 15 Nos

Expected Tuition Fee: 1.5 lacs/ annum

Stipend: Deserving students will be provided a monthly stipend with free accommodation.

Career Roles

Graduates of the program are expected to function as Highway Engineers, Traffic Analysts, Transportation Planner, and Researchers in any of the following verticals

  • Consulting Companies
  • Government Agencies
  • Academics and Research
  • Entrepreneurs