Bachelors of Business Administration / Bachelor of Law (B.B.A.LL.B.) (Honours) with specialization in Media and Entertainment Law

at University of Petroleum and Energy Studies India

M.Sc is a two-year postgraduate program in Pharmacology and Toxicology that provides broad, multidisciplinary training that enables our students to pursue careers in the Pharmaceutical and Biotechnology industries as well as in academic and government research laboratories. The program offers the following specializations:

• Applied Clinical Pharmacology
• Molecular and Biochemical Toxicology

UPES School of Design’s Postgraduate Programme, M.Des. in Graphics Design prepares students to become proficient and compelling visual storytellers with a focus on the evolving industry and technology. Students are exposed to image design, typography, layout design, branding, design history, research methods, web-based design, digital design, photography, and graphics technology.

The course is a concoction of the study of commerce and law. By completing this integrated course, a student can learn about two different professional fields. The specialised law course, in its five-years duration, equips the students with the knowledge of both commerce and legislative regulations as a comprehensive concept.

This integrated course trains students in two different fields – commerce and legislative regulations – as a comprehensive concept for five years duration. The program provides students with a vast knowledge of business, commerce and law subjects that are crucial in the professional world such as Business Statistics, Business Communication, Auditing, Economics, as well as Law of Contract, Law of Taxation, Media Law, Competition Law, Corporate Law, International Trade Law, Corporate Finance, Investment Law, Corporate Restructuring, and the likes.

UPES provides unique and focused Integrated M.Sc-PhD course aiming to deliver expertise in theoretical and experimental understanding of Chemistry and its allied disciplines. The program is designed such that after completing it, students would be able to excel in academia, industries, and research. The faculty members in the department have diverse research expertise including but not limited to organic chemistry, materials science, nanotechnology, renewable energy, etc., which would provide students flexibility in opting for their PhD topic. The curriculum is designed to give exposure not only about the subject but also research ethics, communication and skill augmentation. The completion of the course ensures deep knowledge with wide exposure, intellectual development, and ethical awareness that make students ready for various professional research, industrial and academic opportunities.

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.

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.

Applied Mathematics focuses on the innovative creation and imaginative use of mathematical concepts to present and solve problems over the various field of natural sciences, engineering sciences, medical sciences and emerging fields such as data sciences and artificial intelligence. The program is designed to provide students an increased knowledge and comprehensive understanding of mathematics, particularly in algorithms, fluid mechanics, differential equations, probability and stochastics, and optimisation. 

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.  

UPES School of Design’s Under Graduate Programme, B.Des. in Graphic & Communication Design prepares students for image design, typography, layout design, branding, design history, research methods, web-based design, digital design, photography, and graphics technology. With growing focus on sustainable design technology, the curriculum imparts knowledge of design and sustainable fundamentals, as well as an understanding of core values, emerging trends and discipline challenges.

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.

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. ?