Master of Science in Physics - Material Science

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.

This is a 5-year full-time course, which explores the role of international economic law in the contemporary global economy. It provides an overview of the legal foundations of the global economy and the regulatory frameworks governing international trade and investment relations.

The emphasis of the course is upon how international trade economics interacts with domestic investment law and cross-border investment law keeping in view MNC’s as well as other state and non-state actors.

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 specialised undergraduate program deals with the business, policy governance, regulatory, and legal aspects of various non-renewable/fossil fuels and renewable energy sources. The course covers the business cycle operations, regulatory policies, governance mechanism and all-round legal perspectives in the entire energy basket market including commercial, taxation, and environmental governance aspects.

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.

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.

This program is designed for students who want not only a sound consolidation of their learnings at undergraduate level in Physics, but also need specialized training in Electronics catering to the future requirements of the industry. It has courses from analog and digital electronics and communication systems. The program is destined to transform the students into professionals ready to participate in industrial revolution 4.0. The specialization courses consist of a set of theory courses backed up with extensive lab sessions and project work. 

The full term of two years and the syllabus for the program is divided into four semesters. This Master’s program is also an ideal preparation for various PhD programs in basic sciences and engineering.

The Integrated (B.Des) - (M.Des) - in Product Design lays emphasis on a process-centric approach of participation and teamwork to shape the students’ education. The curriculum is designed in a way that gradually increases in complexity levels and covers broad areas that product designers will come across in their professional careers. Collaborative projects with industrial houses, social sector, government and multinational companies are a part of the education process.

Students in this specialisation learn the essential computer science concepts such as data structures, algorithms, OOPS concepts using Java, databases and software engineering and design processes, but also concepts such as Big Data related concepts such as functional programming using python, distributed computing, data ingestion tools, NoSQL database, and other technologies to build big data pipeline.

With the advent of massive digitization and integration of business processes, huge amount of data is generated across various applications. Managing and processing data is increasingly becoming difficult with the conventional techniques and tools. Big data analytics is a domain that deals with the analysis of huge and heterogeneous data. The course focuses on Big Data analysis, existing frameworks, techniques, and its real-world applications along with the key technologies used in manipulating, storing, and analysing it. ?

M.Sc. (Petroleum Geo-Sciences)- Unconventional Hydrocarbons

Unconventional hydrocarbons include shale gas, tight oil, tight gas, coalbed methane, and gas hydrates. Oil and gas industry is going through a change, where the conventional production is steadily being replaced by unconventional hydrocarbon exploitation. After the success of shale gas in North America and its impact on the conventional oil and gas industry, it is believed that the future of oil and gas will see more new unconventional technologies and workflows that will allow increasingly efficient exploitation.

While there are some common aspects to all unconventional resources, there are also some specific issues related to each of the resources. This course helps in giving a broad overview of what makes a resource unconventional, what are the common elements that influence exploration decisions, drilling and completion decisions, stimulations, and ultimately sustaining the business model. At the same time, it also makes the students aware of the key specifics that relate to each of the unconventional resources especially its evaluation, exploration, drilling, production, and reservoir management.

This course deals with the inter-combination of statistics and computer science with an aim to extract patterns of information from given raw data (unprocessed data) and transform the data to provide meaningful information for business use. It covers the concepts of machine learning used as data mining techniques and touches upon the differences between data science and data mining. Students will be able to use the different data mining techniques such as association, clustering, and use different data mining applications such as market basket analysis and customer relationship management.