Bachelor of Commerce / Bachelor of Law (B.Com.LL.B.) (Honours) with specialization in Constitution Law

at University of Petroleum and Energy Studies India

B.Tech Electrical Engineering with specialisation in electric vehicle and grid management is designed to provide advanced knowledge in design, develop and application of electrical equipment such as motors, generators, transformers, batteries, switchgear and protection, analyze charging and grid management system in coordination with e-vehicles. It provides advanced skills on e-vehicular technology and its efficient application in grid management system.

Ph.D. in Pharmaceutical Chemistry covers a broad spectrum of activities related to the research based on the interaction between drugs and biological targets and the relationship of chemical composition and dynamics to biological activities. This includes drug design, discovery of medical needs and the study of chemical substances at the molecular level. The interdisciplinary research involves bio-organic and medicinal chemistry, computational chemistry, development of synthetic methodology, chromatography techniques, natural products isolation and synthesis, chemical biology, analytical and spectroscopic techniques etc.

Students pursuing Business Analytics and Optimization learn the essential computer science concepts such as Data Structures, Algorithms, OOPS concepts using Java, databases and software engineering and design processes, but also learns Advance Statistical Analysis, Data Mining and Predictive Modeling, Business Intelligence, Business Strategy and Analytics, Operations Research and Optimization, Social and Web Analytics, BAO on cloud, Big Data Analytics, Content Analytics.

Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making.

The curriculum focuses on various aspects of mass media -- from writing for media to developing communication skills to learning the basics of electronic and digital productions. The program also bridges the gap between theory and practice by engaging with industry experts who bring real-world knowledge and experience to our students.

Develops highly skilled disaster management experts.  Helps to apply suitable disaster management policies and techniques in line with local conditions and assist in reducing the losses that impact developing countries in particular.

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 relevant 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.

The course equips students on subjects including Security Analysis and Portfolio Management, and International Financial Management, giving an understanding of the finance division of an organization or for pursuing higher education such as MBA, MS (Finance), FRM, and CFA program. Case studies and practical examples are at the core of this course. Students undertake term projects to apply the theoretical frameworks to business management issues, especially finance.

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. 

The specialization prepares the students on subjects including Service Operations and Total Quality Management. 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.

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. ?