Bachelor of Technology in (Food Technology) - Food Plant Engineering

at University of Petroleum and Energy Studies India

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.

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.

E-Business has come a long way in the last 15 years. As technology continues to grow at a rapid pace, e-business harnesses new techniques to make online selling and online shopping a lot more efficient and convenient.

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.

PhD in Electronics Engineering is the highest academic degree awarded in the study of Electronics Engineering.

The course provides a bird's eye view of the digital marketing industry and the elements driving it. It gives an insight into print and internet branding along with the basics of brand strategy. The program emphasizes on the importance and use of conceptualization, copywriting, design, and development for digital marketing.

Unique program that provides an innovative, high-quality learning opportunity in health, safety & environment and management. Learn how to manage the safety needs of the organizations in a variety of occupational environments with special focus on process industry, infrastructure industry and power industry. Get the opportunity to specialize in HSC areas applicable to Oil & Gas, Power, Infrastructure and Fire & Safety.

Master of Technology in Chemical Engineering with Specialization In Process Design Engineering is an industry-oriented program training the students in chemical process development and designing. The students as part of the curriculum go for one year of Industrial project where they receive immense industrial experience. We also have a MoU with Grasim Industries - Aditya Birla Ltd., for the M. Tech Industrial project/ internship program.

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. 

B.Sc. Geology Hons. program provides specialization in Geoinformatics

Geoinformatics is the science and the technology, which develops and applies information science infrastructure to solve geoscience and engineering related problems. It deals with the structure and character of spatial information, its capture, classification and qualification, storage, processing, description and propagation, including the infrastructure required for optimal use of this information. Earth science increasingly relies on digital spatial data acquired from remotely sensed images analyzed by GIS photograph interpretation, and web mining.  Geoinformatics combines geospatial analysis and modeling, development of geospatial databases, information systems design, human-computer interaction and both wired and wireless networking technologies. Geoinformatics is analyzed using geo-computation and geo-visualization for fields such as urban planning and land use management.