Master of Science Clinical Research in Regulatory Affairs

at University of Petroleum and Energy Studies India

The specialization in marketing prepares the students on subjects like Social and Digital Media Marketing, Advertising and Sales Promotion etc. The emphasis is on developing critical as well as analytical thinking in the specialized area though case study, projects, workshops, masterclasses by industry experts, among other pedagogical tools.

Smart grid and computing represent a new generation of hardware, software and network that connect physical infrastructure with analytic computing systems. Smart grid is the emerging energy system wherein the application of information technology, tools and techniques make the grid run more efficiently. Frequently occurring high impact low probability natural disaster and cyber-attack creates the need for future-ready resilient smart grid. The challenges and opportunities of emerging and future smart grids can be addressed by computing techniques. The objective of this minor specialisation is to provide different computing applications for energy management in the smart grid architecture and science of resilient smart grid against natural disaster and cyber-attacks.

The program equips students with the skills to gain the maximum benefit within the petroleum sector. Industry experts are invited to interact with the students and be part of events to provide their insights and share their experiences. The students learn how to successfully and responsibly market under challenging environments.

The specialization in marketing prepares the students on subjects like Digital Human Resource Management, Compensation Management etc. The emphasis is on developing critical as well as analytical thinking in the specialized area though case study, projects, workshops, masterclasses by industry experts, among other pedagogical tools.

Energy analytics is an interdisciplinary area applying techniques and methodologies of engineering management, economics, statistics, and electrical engineering to solve real-world analytical problems in the energy industry. The course covers major energy-related applications of descriptive, predictive, and prescriptive analytics. It includes areas such as energy data analysis, load forecasting, price forecasting, renewable generation forecasting, energy trading and risk management, demand response and customer analytics, and utilities outage analytics.

Clinical Research enables health care professionals to develop new therapies and diagnostic procedures and medical devices to ensure better patient care. M.Sc. in Clinical Research is a 2-year postgraduate course aimed at providing experiential learning with comprehensive curriculum.

Regulatory Affairs is a domain with a broad overview and the responsibility for collecting all kinds of data from the development processes and sending it to regulatory authorities. The courses will provide broad perspectives and integrated knowledge to the students from Innovation →Discovery → Approval→ Commercialization which implies regulatory affairs are essential to bring the product to the market globally. This course specialization provides a comprehensive education in the important aspects of Regulatory and Quality compliance in pharmaceutical industry. Students gets updated with the current regulatory and compliance issues and explore careers in these exciting times. Nowadays regulations and ever changing laws are driving demand for pharmaceutical regulatory affair professionals who can help companies successfully bring medical products to the market.

Biosimilar is that branch of study which deals with study of drugs that are very similar to original product, but not identical. They are not generic drugs and do not possess the same active pharmaceutical ingredient, yet comparable to original reference drug in terms of quality, safety and efficacy. Biosimilar are alternative potential therapeutics but not generics. For biosimilar products, the manufacturing process requires a high level of monitoring and testing.  

At UPES, B.Tech. Biotechnology students with a specialization in Biosimilar will be made familiar with existing regulations, manufacturing sciences and distribution practices of Biosimilar products in India and all across the globe. Students will learn about controversies associated with Generic drugs and need for development of Biosimilar products. Students will also learn how a drug is discovered in a lab, followed by testing in clinical trials and then launched in market for commercialization.

The specialization in marketing prepares the students on subjects like Digital Human Resource Management, Compensation Management etc. The emphasis is on developing critical as well as analytical thinking in the specialized area though case study, projects, workshops, masterclasses by industry experts, among other pedagogical tools.?

In this program, a student learns about the basics food preservation and conservation. In this particular specialization, the Design of food process plant, Food plant location, Food plant layout, requirements like water supply, Electricity supply, clean environment and location, Contraction material used, Waste management, cleaning and sanitisation are main course content. The equipment used during food processing, packaging requirement, utensils, standards related to material used in construction of food processing equipment’s, standardisation of food process, arrangements of equipment’s in best possible way.  The food processing Industry visit carried out for practical knowledge.  Food Industry Trainings are also carried out. Scope and importance of food plant engineering, Processing methods and their requirements, Preservation by drying, Preservation by low temperature, heat treatments, and Food conversion operation. In this a student learns about various techniques and procedures involved in food packaging. This subject helps a student to understand the importance of processing of various kinds of food products. This course covers both practical and theoretical aspects of food industry.

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.