M.Tech in Transportation Engineering
Overview
The program aims at preparing students for positions in industry, government, and future Ph.D. students by equipping them with analytical, practical, and technical skills will be instrumental in serving current and future technologies, research, and innovation in Transportation Engineering. The curriculum was designed by the faculty who work closely with transportation professionals to ensure that all necessary transportation aspects are covered.
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 is offered by the Department of Civil Engineering at Mahindra University comprises of 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 new courses are introduced as per industry needs. Most of the courses are embedded with laboratory which provides the students with hands-on experience making them confident while solving real-world problems. Another highlight of this course is that 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 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
Vision of the Programme
Program Educational Objectives (PEOs)
Program Specific Outcomes (PSOs)
Course Structure
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, 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.
Eligibility Criteria
B.Tech./ BE (or equivalent) in Civil Engineering with a minimum of 60% marks
Expected Intake: 15 Nos
Expected Tuition Fee: 1 lac/ annum
Stipend: 18000 (+ Lodging and boarding).
Admission Procedure
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
Curriculum & Detailed syllabus
Semester 01
S.No. | Code | Course Name | L | T | P | Credit |
---|---|---|---|---|---|---|
01 | TE 5101 | Urban Transportation Planning | 03 | 00 | 00 | 03 |
02 | TE 5102 | Traffic Engineering and Management | 03 | 00 | 02 | 04 |
03 | TE 5103 | Highway Materials, Testing, and Characterization | 03 | 00 | 02 | 04 |
04 | TE 5104 | Geometric Design of Transportation Facilities | 03 | 00 | 02 | 04 |
05 | TE 5105 | Transportation Data Analysis | 02 | 01 | 00 | 03 |
06 | TE 5106 | AI Applications in Transportation Engineering | 01 | 00 | 02 | 02 |
Total Credits | 15 | 01 | 08 | 20 |
Semester 02
S.No. | Code | Course Name | L | T | P | Credit |
---|---|---|---|---|---|---|
07 | TE 5201 | Pavement Design and Management | 03 | 00 | 02 | 04 |
08 | TE 5202 | Optimization models and methods in Transportation Engineering | 03 | 00 | 00 | 03 |
09 | TE 5203 | Transportation Software Laboratory | 00 | 00 | 04 | 02 |
10 | TE 52XX | Elective – I | 03 | 00 | 00 | 03 |
11 | TE 52XX | Elective -II | 03 | 00 | 00 | 03 |
12 | TE 52XX | Elective – III | 03 | 00 | 00 | 03 |
13 | Open Elective | 03 | 00 | 00 | 03 | |
Total Credits | 18 | 0 | 06 | 21 |
Semester 03
S.No. | Code | Course Name | L | T | P | Credit |
---|---|---|---|---|---|---|
14 | TE 5141 | Industry seminars | 00 | 00 | 00 | 00 |
15 | TE 5142 | Industry Internship / Online Certification Course | 00 | 00 | 00 | 00 |
16 | TE 5150 | Thesis – I | 00 | 00 | 36 | 12 |
Total Credits | 12 |
Semester 04
S.No. | Code | Course Name | L | T | P | Credit |
---|---|---|---|---|---|---|
18 | TE 5250 | Thesis – II | 00 | 00 | 36 | 12 |
Total Credits | 12 |
Total Number of Credits in the programme – 65 (Sixty Five)
Elective – I
- TE 5221 Road Safety Engineering
- TE 5222 Airport Infrastructure Planning and Design
- TE 5223 Sustainable Transportation Materials
- TE 5224 High-Speed Rail Infrastructure Planning and Engineering
- TE 5225 Sustainable and Green Mobility systems
- TE 5226 Transit Oriented Development
Elective – II
- TE 5227 Intelligent Transportation Systems
- TE 5228 Traffic Flow Modelling and Simulation
- TE 5229 Freight Transportation Systems and Modelling
- TE 5230 Low Volume Roads
- TE 5231 Future Mobility Innovations
- TE 5232 Pavement Evaluation and Rehabilitation
Elective – III
- TE 5233 Transportation Asset Management
- TE 5234 GIS for Transportation Systems
- TE 5235 Behavioural Travel Modelling
- TE 5236 Environmental Impacts of Transportation
- TE 5237 Pavement Drainage systems
- TE 5238 Transportation Economics
- TE 5239 Transportation Economics, Policies, and Financing
- TE 5240 Big data analytics in Transportation
- TE 5241 Mass Rapid Transportation
- TE 5242 Introduction to Multi-Modal Transportation Systems
Open Electives (2nd semester)
- Autonomous and connected vehicles
- Wireless sensors and their applications (IoT applications)
- Vehicle dynamics
- Electric vehicles and their infrastructure
- Any relevant / HSS elective