Bachelor of Arts in Public Policy with Specialization Human Development

at University of Petroleum and Energy Studies India

M.Sc. (Physics) specialization in Material Science is a two-year program which aims to equip students both with the advanced concepts in Physics as well as hands on training in synthesis and characterization of novel materials, finding applications in myriad domains including but not limited to health, sanitation, defense, clean energy harvesting (solar cells, fuel cells, hydrogen storage, etc.), aerospace, semiconductors industry, etc. Students will also get an opportunity to learn Computational Materials Science, in which they will be equipped with various simulation software/techniques and advanced numerical algorithms to simulate materials via computers. Students taking admission in this program will have opportunity to work with faculty members having exceptional academic and research credentials in theoretical and experimental materials science. Students will also have access to state-of-the art material synthesis and characterization instruments installed in the campus. 

Bachelor of Business Administration and Bachelor of Legislative Law (BBA + LLB) is a five-year integrated dual degree course which provides an integrated study of management studies and legislative law in an entirely independent manner.

This is a five-year program that offers domain-specific subjects ranging from Making of the Indian Constitution, Jurisprudential Approach to Constitution to Comparative Federalism, and Legislative Relations. Drawing heavily from the rulings made in the Supreme Court, it is designed to preserve the relationships between state and federal governments and protect the rights of the individual. Furthermore, it enables the students to become better citizens by sensitising them about concepts that are the basis of a civilised society.

UPES provides unique and focused Integrated M.Sc-PhD course aiming to deliver expertise in theoretical and experimental understanding of Mathematics and its allied disciplines. The program is designed such that after completing it, students would be able to excel in academia, industries, and research. The faculty members in the department have diverse research expertise including but not limited to Reliability analysis and optimization, numerical analysis, fluid dynamics, differential geometry, image processing and data analysis, dynamical system and mathematical modelling, etc., which would provide students flexibility in opting for their PhD topic. The curriculum is designed to give exposure not only about the subject but also research ethics, communication and skill augmentation. The completion of the course ensures deep knowledge with wide exposure, intellectual development, and ethical awareness that make students ready for various professional research, industrial and academic opportunities.  

Integrated (B.Des) - (M.Des) in Fashion Design introduces students to a combination of traditional craft techniques with digital technologies to transform concepts from two-dimensional fabrics into three-dimensional forms. The programme covers all aspects of the design process, from trend analysis, research and design development, drawing and illustration, colour and fabric development, historical and cultural studies, translation of ideas from 2D to 3D through to presentation, marketing and business development.

Computational material science involves exploration of material structure, properties and behaviour using modelling, simulation, theory or statistics. It is a wide field that encompasses computational techniques that can simulate electronic structure of materials, explore materials at different length scales: nano, micro, meso and macro scales, predict the structure based on thermodynamic stability and accelerate discovery of novel materials with desired properties. A student opting for this specialisation will get exposed to these techniques and will gain an in-depth expertise on any one technique through the dedicated project work.

PhD in Aerospace Engineering is the highest academic degree awarded in the study of Aerospace Engineering.

The course allows students to understand the implementation of governmental policy that serves the population, the workings of political activity, and the process of developing public programs for the society. Moreover, the program provides the theoretical underpinning, conceptual and analytical tools, fundamentals, and the ideological dynamics of the field of study. These are critical for the effective functioning of public offices.

Develops highly skilled disaster management experts.  Helps to apply suitable disaster management policies and techniques in line with local conditions and assist in reducing the losses that impact developing countries in particular.

Aerodynamics is the science of moving air and its impact on solid bodies placed in the flow field as an obstacle. Being a sub-field, most of the equations from fluid dynamics apply to aerodynamics as well, including all the governing equations, turbulence, boundary layer theory, and ideal gas assumption. Racing cars and wind turbines are examples of technologies outside of aerospace in which aerodynamics engineering play a prominent part. Aerodynamic engineering often uses a mix of Computational Fluid Dynamics (CFD), wind tunnel work and ultimately flight-testing to achieve a solution. CFD is widely accepted as a key tool for aerodynamic design. Reynolds Average Navier-Stokes (RANS) solutions are a common tool, and methodologies like Large Eddy Simulation (LES) that were once confined to simple canonical flows (isotropic turbulence in a box, channel flow), are moving to complex engineering applications.

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist not only does the exploratory analysis to discover insights from it, but also uses various advanced machine-learning algorithms to identify the occurrence of a particular event in the future. Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning.