Integrated Bachelor of Science- Master of Science Clinical Research in Clinical Pharmacokinetics

at University of Petroleum and Energy Studies India

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.

Medical law is the branch of law, which concerns the prerogatives and responsibilities of medical professionals and the rights of the patient. It is not the same as medical jurisprudence, which is a branch of medicine, rather than a branch of law.

This course has been designed to include all fundamental and advanced concepts of health and medical law at the national and global level to make learners well-versed with the developments in medical field, health sector, and their legal aspects.

Internet of Things will generate 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.

Business Process Disruptions focus on risks associated with business processes. In this program, the nature of disruptions are understood in detail with a focus on supply chain and logistics. The importance of continuous operations, criticality of IT in business processes, barriers to supply chain transformation, and threat of competitive forces is studied.

The program has been designed in such a way that it imparts knowledge on regulation, financing, trading, business development, and analytics. After pursuing the specialization, students will be able to analyse global and Indian energy, and power markets. The students will also be able to work out optimal scenarios for development and investment besides evolving an organization strategy and a project specific marketing and financial plan.

PhD in Law is the highest academic degree awarded in the study of Law.

Banking, Management Insurance gives students an in-depth understanding of the economic, financial and banking affairs. It helps students gain adequate knowledge about the management of financial risk along with the general management areas such as strategy, marketing, and organisational studies. The specialisation aims to inculcate training and practical approach among the students by using modern technologies, and also to give adequate exposure to the operational environment in the field of banking.

Brands are understanding the importance of content and its role in driving organic traffic. The course focusses on improving a business’ website by increasing the organic traffic to attract more customers. The student is one step closer to becoming a complete digital marketer with expertise in search engine optimization.

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.

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.

In this specialisation, students learn about essential concepts such as data structures, algorithms, OOPS concepts using Java, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data, models, algorithms and empirics.