The curriculum for MS/PhD students is designed by the collaboration of mathematicians and engineers. Students undertaking research in this department will have a chance to learn not only the fundamental courses of engineering but also advanced courses related to their area of specialization and interest. Emerging specializations in the domain of engineering, like Nonlinear Dynamics, Computational mathematics and Cryptography, will be offered as area of research for graduate students at this department. As AM&S is also working as supporting department for other engineering and sciences department so upon successful completion of the courses taught by mathematics faculty, students will be able to:

1. Apply knowledge of mathematics, science and engineering fundamentals to the solution of complex problems involved in different engineering areas.
2. Identify, formulate, research literature and analyze mathematical models governing laws of physics and other engineering sciences.
3. Design solution strategy for mathematical models arising in aerospace engineering, electrical engineering, Mechanical engineering and other in science and engineering disciplines.
4. Conduct investigation into complex systems of differential equations using research based knowledge and research methods including analysis and interpretation of data and synthesis of information to provide valid conclusion.
5. Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modeling the physical phenomena with an understanding of the limitations.
6. Apply reasoning informed by contextual knowledge to access societal, health, safety, legal, cultural and economic issues and the consequent responsibilities relevant to their professions.
7. Understand impact of mathematical solutions in societal and environmental contexts and demonstrate knowledge and need for sustainable development.
8. Apply ethical principles and commit to professional ethics and responsibilities and norms of his profession.
9. Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
10. Communicate effectively on mathematical activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. Demonstrate knowledge and understanding of applied mathematics and statistics and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12. To recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change..