Doctor Of Philosophy In Aerospace Engineering

at University of Petroleum and Energy Studies India

Plant Biotechnology assist developing new varieties of crop like genetically engineered crop, marker assisted selection, genetics and genomics, etc. This field of study helps in identifying and mapping genes, discovering their functions and transferring desired gene to specific plants as per requirement. This branch of study also focuses on all aspects of genetic engineering process to enhance efficiency, expression and precision of added gene.

This programs’ problem-based learning mechanism, emphasizes on genomics, proteomics and metabolomics. Besides the curriculum for Plant Biotechnology planned with theoretical studies, students will be having hands on experience performing some of the techniques used to detect genetic variations and its implications in plants. Students will be subjected to problem solving sessions to enhance their ability to apply and design their own research projects.

Integrated (B.Com (Hons)) - (MBA) - E-Commerce aims to impart business fundamentals that can help e-commerce business grow. It focuses on marketing, digital marketing, accounting, finance, strategy, pricing, and analytics. It also teaches social media marketing, content marketing, email marketing, search engine optimization, Google Analytics, Facebook ads, LinkedIn ads, digital advertising, affiliate marketing, influencer marketing, virality, and much more.

PhD Civil Engineering is doctorate level degree.It is a course of study that deals with the design, construction, and maintenance of structures that are integral to the general public, like roads, dams, bridges, canals, and additionally railways, sewage systems, etc.

In the upstream oil and gas industry, digital transformation is changing how business is performed. Digital transformation of E&P proprietary data could save the industry as much as $1 billion each year while boosting production up to 8 percent. E&P data stored in warehouses on various old media technologies cannot be accessed on today’s platforms, and that signifying missed opportunities. Oil and gas organizations possess a wealth of subsurface information. Optimal use of E&P data differentiates production plateaus from fresh income-generating insights using historical data. Companies can forego around nearly 8 billion dollars a year in non-productive time as their geologists, geophysicists, engineers, and data managers spend up to 70 percent of  time filtering mountains of well (onshore and offshore) cores, logscans, and subsurface seismic data in many current and defunct software applications and databases.
Storage, management and organization of giant volumes of hard-copy proprietary records and media archives, and locating and accessing the specific data required for analysis, interpretation and processing, is unwieldy and challenging. This inefficiency renders only 1% of the existing data of any value.

Digitizing and transforming these valuable data into safe cloud-based data, puts priceless E&P information at the geoscientist’s and data manager’s disposal. It is stored privately and securely in the cloud. Digitized geoscience data, when combined with data analytics can be instantly read, interpreted, indexed, manipulated, verified and accessed with smart-tools incorporating artificial intelligence (AI) and machine-learning. Therefore, legacy data can be mined to discover useful patterns for prompt and wise decisions.

The course is a concoction of the study of commerce and law. By completing this integrated course, a student can learn about two different professional fields. The specialised law course, in its five-years duration, equips the students with the knowledge of both commerce and legislative regulations as a comprehensive concept.

This course has been designed to examine the interactions between food production and consumption, health, and environment through environmental and food justice lenses. Building on concepts developed in food systems, it explores topics such as public health disparities and their structural causes, environmental toxins in the food system and their impact on workers and consumers, as well as policies that have or could affect these outcomes, in both historical and contemporary contexts.

Apart from conceptual discussion and debates, the program also includes field trips and/or guest lectures to give practical experience to the learners.

This course explores in detail the types of rules, policies, and controls put in place to determine the behaviour of a corporation, and the intended outcome of those measures. Taking a practical look at how to identify, set, and uphold a corporate governance means that the students will be able to enrich their understanding and skillset in this area, with the support of experienced practitioners who can demonstrate real-life examples to contextualize what one learns.

Students pursuing Banking, Financial Services and Insurance learn about essential computer Science concepts such as algorithm, data structures, OOPS concepts with java and advanced Java, with databases and software engineering design processes. This core competency is catered to students and concepts of Data Science and Informatics are demystifying along with core competencies at appropriate positions. 

The specialization acquaints the students on subjects such as Digital Human Resource Management, Strategic Human Resource Management et al. The program equips them to develop a comprehensive understanding about how an organization gains competitive advantage by effectively managing people while maximizing employee performance. ?

The specialization in marketing prepares the students on subjects like Financial Institutions and Markets, Behavioural Finance, etc. The program instils the skills, knowledge and aptitude required to develop a holistic understanding of the specialized area, so that the student becomes industry ready.

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.