Master of Technology in By Research

at University of Petroleum and Energy Studies India

Logistics sector needs professionals for managing demand, procurement, transportation, production, warehouse, retail, and distribution operations. Considering this rising requirement of the market, the program was launched in the year 2011. It intends to provide support to industry 4.0 with a balanced content on Procurement, Materials Management, Global Supply-Chain Management, Multi-Modal Transportation, Retail, Logistics Information System, and Spreadsheet Modelling.

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.

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.

Forensic science is a highly advanced research method used in criminal and civil investigations to address critical questions. An integral part of the criminal justice system, it includes techniques such as the analysis of fingerprints, DNA analysis, and ballistics and explosives.

This course has been designed keeping in mind the close interrelation between law and forensic science to make students well-versed with the fundamental and advanced concepts of forensic science and its application in legal jurisprudence.

Food and environmental microbiology offers electives courses such as probiotics and pre-biotics, food contamination and food borne diseases, bio fertilizers and bioremediation. Each stage of course is one up the previous level. Pre-biotics and pro-biotics talk about how microbes are used in therapy and in impacting our over-all health. Food borne diseases then talks about how infectious diseases are contracted through food and what shall be done to prevent it. The last course in the specialization bio-fertilizers and bioremediation elaborates the role of microbes in killing other microbes, pests and insects and bio-remediation elaborates on the use of microbes in removal of toxins, contaminants and pollutants from environment. These three courses enable a student to become prospective food and or environmental microbiologist. The syllabus designed is such that students intern in industries/companies of their interest and do multi-disciplinary research project at School of Health Sciences UPES in tie up with School of computer science, School of business, School of Engineering and Design. The focus remains on outcome based education with the outcome being highly employable, problem solving microbiologists.  

This program prepares students to enter the filed of judiciary and law. Skills such as persuasive communication, judgment, as well as a problem-solving mindset are inculcated in the students. The course provides an overview of the set of rules and regulations, which govern the society. Apart from conceptual discussion and debates, the program also includes guest lectures to give practical experience to the learners. *Graduate student from any stream is eligible and can apply for this programme  

UN has shortlisted 17 Sustainable Development Goals (SDGs) as prime focus. From these 17 goals, 9 goals are directly and indirectly are addressed by Sustainable Energy Engineering (SEE). For SEE professional, sky is not the limit. SEE, finds opportunities from Underwater to over the sky. SEE, will ensure the generation of ‘Green Energy’, however they will also focus on the ‘Sustainability in Energy’. Growing demand for constant and reliable power supply in line with efficient resource utilization, rising penetration of captive power projects coupled with increasing techno financial assistance by regulatory arms will drive the growth of the global market. Sustainable Engineering is the process to generate energy through the processing of organic and inorganic sources. Positive regulatory reforms toward effective management of trash along with stringent government targets to integrate renewable energy resources will drive the industry dynamics in the coming years. This course is aligned with the present trends in the industries at global level keeping all aspects of technological advancement their performance analysis and technology deployment support structure to make the learner develop the required knowledge and skills as per the need of the industries.

This course introduces the essential general programming concepts and techniques – such as Boolean, numbers, loops, function, debugging, specifics of R and Python – to students without prior programming knowledge. On completion, students will be able to identify the dataset characteristics, select and implement the machine learning techniques, and solve problems having high data dimensions and rapid data generation rate along with scalability issues. ?

Pure mathematics includes developing the fundamental tools used by mathematicians, such as algebra and calculus, describing multi-dimensional space, or a better understanding of the philosophical meaning of mathematics and numbers themselves. Pure mathematics is the study of the basic concepts and structures that underlie mathematics. Its purpose is to search for a deeper understanding and an expanded knowledge of mathematics itself. 

Computational Mathematics involves mathematical research in areas of science and engineering where computing plays an essential role. Some topics of study include developing accurate and efficient numerical methods for solving physical or biological models, analysis of numerical approximations to differential and integral equations, developing computational tools to better understand data and structure, etc. 

Internet of Things is generating a large amount of data daily. The reciprocity of such huge amount of data in the form of text or image or audio can be beneficial for both Big Data Analytics and IoT systems. This makes IoT useful for companies that rely on data analytics to improve their systems. Students looking for a long-term career in this field will find abundance of jobs when they complete their course. Apart from essential concepts such as data structures, algorithms, OOPS concepts using Java and python, databases, software engineering and design processes, in this specialization students will have an addon in technologies and concepts of IoT and their applicability in smart cities and sustainability.