M.Tech in Transportation Engineering
Overview
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 44 credits (including practical components) and a thesis worth 21 credits out of a total of 65 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
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 – I
| SNo | Code | Course | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | CE 5111 | Urban Transportation Planning | 3 | 0 | 0 | 3 |
| 2 | CE 5112 | Traffic Engineering and Management | 3 | 0 | 2 | 4 |
| 3 | CE 5113 | Highway Materials, Testing, and Characterization | 3 | 0 | 2 | 4 |
| 4 | CE 5114 | Geometric Design of Transportation Facilities | 3 | 0 | 2 | 4 |
| 5 | CE 5116 | Programming and Algorithms in TE | 2 | 0 | 2 | 3 |
| 6 | HS XXXX | Effective writing and Oral communication | 2 | 0 | 0 | 2 |
| Total Credits | 16 | 0 | 8 | 20 |
Semester – II
| Code | Course | L | T | P | Credits | |
|---|---|---|---|---|---|---|
| 7 | CE 5211 | Pavement Design and Management | 3 | 0 | 0 | 3 |
| 8 | CE 5212 | Optimization models and methods in Transportation Engineering | 3 | 0 | 0 | 3 |
| 9 | CE 5213 | Transportation Software Laboratory | 0 | 0 | 6 | 3 |
| 10 | CE 5214 | Transportation Data Analysis | 3 | 0 | 0 | 3 |
| 11 | CE 50XX | Engineering Elective – I | 3 | 0 | 0 | 3 |
| 12 | CE 50XX | Engineering Elective -II | 3 | 0 | 0 | 3 |
| 13 | XX XXXX | Engineering Elective – III | 3 | 0 | 0 | 3 |
| Total Credits | 18 | 0 | 6 | 21 |
Semester-III
| Â | Code | Course | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 14 | CE 50XX | Engineering Elective – IV | 3 | 0 | 0 | 3 |
| 15 | CE 5141 | Industry seminars | 0 | 0 | 0 | 0 |
| 16 | CE 5142 | Industry Internship | 0 | 0 | 0 | 0 |
| 17 | CE 5160 | Thesis – I | 0 | 0 | 24 | 8 |
| Total Credits | 11 | |||||
Semester-IV
| Â | Code | Course | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 18 | CE 5260 | Thesis – II | 0 | 0 | 36 | 12 |
| Total Credits | Â | 12 | ||||
Total Number of Credits in the programme – 64 (Sixty-Four)
Elective – I
- CE 5031 Road Safety Engineering
- CE 5032 Airport Infrastructure Planning and Design
- CE 5033 Sustainable Transportation Materials
- CE 5034 High-Speed Rail Infrastructure Planning and Engineering
- CE 5035 Sustainable and Green Mobility systems
Elective – II
- CE 5036 Intelligent Transportation Systems
- CE 5037 Traffic Flow Modelling and Simulation
- CE 5038 Freight Transportation Systems and Modelling
- CE 5039 Low Volume Roads
- CE 5040 Future Mobility Innovations
- CE 5041 Pavement Evaluation and Rehabilitation
Elective – III
- Autonomous and connected vehicles
- Wireless sensors and their applications (IoT applications)
- Digital twins / Communication systems
- Vehicle dynamics
- Enterprise risk management
- Electric vehicles and their infrastructure
- Any relevant elective
Elective – IV (3rd semester)
- CE 5042 Transportation Asset Management
- CE 5043 GIS for Transportation Systems
- CE 5044 Behavioural Travel Modelling
- CE 5045 Environmental Impacts of Transportation
- CE 5046 Pavement Drainage systems
- CE 5047 Transportation Economics
- CE 5048 Transportation Economics, Policies, and Financing
- CE 5049 Big data analytics in Transportation
- CE 5050 Mass Rapid Transportation
- CE 5051 Introduction to Multi-Modal Transportation Systems
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