Bachelor of Technology (Honours) in Computer Science and Engineering with Big Data

at University of Petroleum and Energy Studies India

M.Tech by Research facilitates industry fellows and upcoming research scholars with specific knowledge of the problem to be investigated in a way to draft novel and efficient solutions that have both scientific and industrial viability. This program aims at strengthening the students' core knowledge and greater potential to contribute to core research in the field of science and technology.

The M.Tech. Program in Energy Systems and Sustainability provides scope for engineering innovators / entrepreneurs with a mission to develop sustainable energy systems and solutions for the future. Program delivery is intended by aligning the content as per the industry working methodology. This program offers the blend of placement opportunities in various verticals of Energy and Sustainability Engineering to work as an Energy Specialist, Energy Consultant, Project Manager, Lead Energy Auditor (ISO-50001 global level), Sustainability Manager etc.

Learners will have the opportunity to gain the knowledge in Energy, Sustainability, Green Buildings, Project and Financial Management, Smart and Micro Grid, e-Vehicle & Energy Storage, Thermal Utilities performance, Sustainable Habitat, Performance Analysis of Electrical Equipment’s, Climate change & Sustainability, Process Optimization etc. Students has the opportunity to work in Funded research projects and consultancy projects from Government  and other funding agencies with wide opportunity to go for higher studies under student exchange program. The program specializations are:

The Specialization Sustainable Development explores systems that protect the environment while increasing socio economic growth.

The media industry in India is transforming into a digital-first industry. Traditional media platforms like newspapers, TV & radio networks are all transforming into converged digital platforms which means that media professionals today need new age digital skills for producing, distributing & monetizing content.

This cutting-edge degree program is designed to equip students for this growing demand in the Indian & global media industries. It takes a digital- first approach focusing on the transformative role of technology in journalism & communications. It focuses on New-Age growth areas in media such as social media, mobile journalism, data visualisation & Search Engine Optimization (SEO). This degree program trains students as digital storytellers, provides hands on training on state-of-the-art infrastructure and imparts cross-cutting communication skills  which are in demand in the media sector,corporates, public policy institutions and startups.

Social media skills have become fundamental in our day-to-day life and are the defining focus of the current media landscape. Whether you envisage building your own brand on social media or work for a media organization for content marketing or strategic analysis, our specialization in Social media will prepare you for effective use of online channels and social media platforms. Our courses focus on social media tools, metrics, curating and creating content, and marketing strategies. This specialisation simultaneously equips students with Google Search Engine Optimisation (SEO) tools for increasing distribution and discoverability of online content which is a key skill set to all online publishing. The course would specifically focus on social media and SEO integration for a strategic use of search engine algorithms, on-page and off-page optimization, for highest search engine ranking and site visibility and traffic. The SEO specialization would cover critical areas such as algorithms, building social media signals, PageRank, HTML tags, and effective use of keywords.

In this specialisation, apart from essential concepts such as data structures, algorithms, OOPS concepts using Java and python, 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.

UPES School of Design’s Under Graduate Programme in Game Design revolves around 3D modeling, concept art, script writing and game mechanics. The students explore various game design concepts in workshops and gain an understanding of game design across various platforms and media such as Board, Mobile, PC, Gaming Consoles, AR/ VR and AI.

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.  

The media industry in India is transforming into a digital-first industry. Traditional media platforms like newspapers, TV & radio networks are all transforming into converged digital platforms which means that media professionals today need new age digital skills for producing, distributing & monetizing content.

This cutting-edge degree program is designed to equip students for this growing demand in the Indian & global media industries. It takes a digital- first approach focusing on the transformative role of technology in journalism & communications. It focuses on New-Age growth areas in media such as social media, mobile journalism, data visualisation & Search Engine Optimization (SEO). This degree program trains students as digital storytellers, provides hands on training on state-of-the-art infrastructure and imparts cross-cutting communication skills  which are in demand in the media sector,corporates, public policy institutions and startups.

This is designed for media professionals/entrepreneurs interested in learning the tools required to effectively publish or manage a website or digital content online. Students interested in starting & managing their own website/Youtube platforms/Blogs/Digital platforms for media houses for companies or for their own influencer networks are a good fit for the course. The broad themes in this specialisation include: Mobile Media & Web Journalism, Information Visualisation, Basic HTML, CSS, Javascript & Digital Content 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.

This specialisation covers computer science fundamentals such as data structures, algorithms, object-oriented programming, android development, Linux administration, database management systems and also provides students with insights into the world of open-source and open standards along with exposure to open-source communities and open-source development methodology.

The course includes specialized subjects such as IT Applications and Open Standards, Dynamic Paradigm in Open Source and Open Standards, Marketing and Services in OSS, Open Source Mobile platform and OSS Development Methodology that provide hands-on capabilities on various aspects of this highly specialized domain.

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist not only does the exploratory analysis to discover insights from it, but also uses various advanced machine-learning algorithms to identify the occurrence of a particular event in the future. Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning.