Advanced Chemical and Petroleum Engineering MSc

Oil and Gas Management

This module will provide a deep understanding of the context in which the global oil and gas industry operates, highlighting its significance to the world economy. The key stakeholders in the sector and its structure are identified, together with an analysis of the strategic challenges they face, their responses, and the future direction of the wider energy market. The engineering, technological and management capabilities and knowledge needed by companies to succeed in the project management of developing a new oilfield and its subsequent operation are explored in both upstream and downstream operations.

Polymer and Materials Engineering

To provide understanding on the structure and mechanical behaviour of polymers and other materials and to enable students to gain experience of manipulating polymer structure and characterising polymer properties.

Risk Assessment and Management

This module aims to introduce students to the challenges typically encountered in the implementation of Risk Assessment and Management in engineering applications and the tools used to address these challenges, including quantitative methods and management systems. It will enable students to acquire a deep understanding of the theories and practices of integrated Risk Assessment and Management, and apply these principles for decision-making, control and management purposes in a variety of challenging engineering applications.

Water and Wastewater Treatment

1. Understand water pollution, sources of water pollution and the main aspects of public health engineering.

2. Apply water quality characteristics to assess the water quality.

3. Understand water supply and treatment processes, learn the design of various water treatment processes, technology and facility.

4. Understand wastewater treatment processes and the design of various wastewater treatment stages.

Statistical Applications of Industrial Big Data

​​Nowadays large amounts of data are collected from many different sources; such data can be used for enhanced benefits and impact to society by evaluating the quality and relevance, integrating with existing information and digital resources, extracting patterns and creating new knowledge for decision support in engineering, healthcare and wellbeing, and society sustainable development.

​However, large amounts of data create continuous challenges for relevant and effective usage in industry. The module is intended to Engineering, Management, Data Analytics, Computer Science and similar subject graduates to gain hands-on development of advanced knowledge and skills in the application of statistical methods in support of robust big data-based decision-making.

​This research-informed module enables students to develop both specialist knowledge and enhanced problem-solving skills in statistical data analysis required to apply data science principles, and to provide data-driven, innovative engineering solutions for decision support and data-enhanced applications.

​Students will explore how statistical applications of industrial big data resources can support knowledge discovery for decision making in domains such as industry 4.0/5.0, product design and development, product quality management and product safety. The module will also address legal, social ethical and professional aspects of such application domains. Students will also benefit from a hybrid approach of learning and assessment, benefitting from critical research, planning and working as team members, and solution development and demonstration as individual professionals.

​The example topics are aligned with the programme of studies topics through relevant data resources and references. The module assessment will provide opportunities to develop interest, knowledge and skills in problem solving applying statistics to industrial big data challenges and projects within the new wave of data-enhanced engineering developments.​

Supply Chain Management and Production

1. To develop a comprehensive and in-depth knowledge on operations and supply chain management with a strong focus on sustainability and circular economy aspects. A strategic perspective will be adopted throughout this module.

2. To analyse globalisation, sustainability and technological aspects influencing the performance of operations and the supply network.

Desalination Technology

The aim of this module is to provide you with a detailed technological understanding of strategically important issue of sustainable production of freshwater via different desalination methods.

Transport Phenomena

This level 7 module builds on knowledge acquired in level 4 (Fundamentals of Sustainability) and level 5 (Transport Processes and Mass Transfer Operations). Specifically, the module presents, analyses and discusses the fundamental phenomena of momentum, energy, and mass transport, emphasising throughout the analogies between them. It establishes the mathematical framework of the conservation equations (continuity, motion and energy) and the corresponding constitutive equations (Newton’s law of viscosity, Fourier’s law of heat conduction and Fick’s law of diffusion). These are then applied to analyse various flow, heat transfer and mass transfer situations of importance to chemical engineering and obtain exact analytical solutions to steady state, unidirectional Newtonian and non-Newtonian flow problems and to steady-state heat and mass transfer problems. In addition, students are introduced to the use of CFD packages to solve situations not possible analytically. Application to environmental engineering is considered in the CW where students undertake in small groups a CFD analysis of an environmentally related problem (e.g. modelling the continuous discharge of a pollutant in a moving stream).

After completing this module, students will be able to critically evaluate and coherently implement core principles, knowledge and understanding of transport phenomena and apply them to a range of chemical engineering flow, heat and mass transport situations including those impacting the environmental and requiring sustainable engineering solutions.

This module supports two key learning pillars: Process Engineering and Sustainable Engineering. As students progress through their programme, they will dive deeper into these areas, starting with the basics at level 4 and moving towards more advanced topics at level 6 and beyond. All modules align with the Bradford Curriculum and meet the requirements of the IChemE accreditation framework.

Process Design

Enable students to practice advanced principles of process Design, starting from a knowledge of the chemistry involved and taking into account chemical, technical, environmental, safety and economic constraints.

Food and Pharmaceutical Process Engineering

This level 7 module builds on diverse knowledge acquired in level 4, 5 and 6. It is a multidisciplinary module that provides students with advanced knowledge of mixing, crystallisation, drying, extrusion, separation in process industry, the design of equipment for food and pharmaceutical processing such as mixing, hot melt extrusion, distillation, extraction, membrane separation and heat treatment units. Economic, legal, social and environmental issues are explained in relation to the use of these unit operations.

The students will be exposed to food process models of different complexity, will be able to use these models in an industry standard modelling platform (gPROMS) and will be able optimise design and operation of various food processes.

This module supports two key learning pillars: Process Engineering and Sustainable Engineering. As students progress through their programme, they will dive deeper into these areas, starting with the basics at level 4 and moving towards more advanced topics at level 6 and beyond. All modules align with the Bradford Curriculum and meet the requirements of the IChemE accreditation framework.

Upstream Production and Refinery Operations

The objective is to provide the students with expert level knowledge of upstream petroleum and refining processes synthesis, simulation and design.

MSc Project

To further develop practical evaluation of professional engineering activity in a chosen specialisation. To extend the student's ability to plan, implement and review appropriate activities in a large and academically demanding project, so as to achieve an agreed set of objectives in a given time scale.

Oil and Gas Management

This module will provide a deep understanding of the context in which the global oil and gas industry operates, highlighting its significance to the world economy. The key stakeholders in the sector and its structure are identified, together with an analysis of the strategic challenges they face, their responses, and the future direction of the wider energy market. The engineering, technological and management capabilities and knowledge needed by companies to succeed in the project management of developing a new oilfield and its subsequent operation are explored in both upstream and downstream operations.

Polymer and Materials Engineering

To provide understanding on the structure and mechanical behaviour of polymers and other materials and to enable students to gain experience of manipulating polymer structure and characterising polymer properties.

Risk Assessment and Management

This module aims to introduce students to the challenges typically encountered in the implementation of Risk Assessment and Management in engineering applications and the tools used to address these challenges, including quantitative methods and management systems. It will enable students to acquire a deep understanding of the theories and practices of integrated Risk Assessment and Management, and apply these principles for decision-making, control and management purposes in a variety of challenging engineering applications.

Water and Wastewater Treatment

1. Understand water pollution, sources of water pollution and the main aspects of public health engineering.

2. Apply water quality characteristics to assess the water quality.

3. Understand water supply and treatment processes, learn the design of various water treatment processes, technology and facility.

4. Understand wastewater treatment processes and the design of various wastewater treatment stages.

Statistical Applications of Industrial Big Data

​​Nowadays large amounts of data are collected from many different sources; such data can be used for enhanced benefits and impact to society by evaluating the quality and relevance, integrating with existing information and digital resources, extracting patterns and creating new knowledge for decision support in engineering, healthcare and wellbeing, and society sustainable development.

​However, large amounts of data create continuous challenges for relevant and effective usage in industry. The module is intended to Engineering, Management, Data Analytics, Computer Science and similar subject graduates to gain hands-on development of advanced knowledge and skills in the application of statistical methods in support of robust big data-based decision-making.

​This research-informed module enables students to develop both specialist knowledge and enhanced problem-solving skills in statistical data analysis required to apply data science principles, and to provide data-driven, innovative engineering solutions for decision support and data-enhanced applications.

​Students will explore how statistical applications of industrial big data resources can support knowledge discovery for decision making in domains such as industry 4.0/5.0, product design and development, product quality management and product safety. The module will also address legal, social ethical and professional aspects of such application domains. Students will also benefit from a hybrid approach of learning and assessment, benefitting from critical research, planning and working as team members, and solution development and demonstration as individual professionals.

​The example topics are aligned with the programme of studies topics through relevant data resources and references. The module assessment will provide opportunities to develop interest, knowledge and skills in problem solving applying statistics to industrial big data challenges and projects within the new wave of data-enhanced engineering developments.​

Supply Chain Management and Production

1. To develop a comprehensive and in-depth knowledge on operations and supply chain management with a strong focus on sustainability and circular economy aspects. A strategic perspective will be adopted throughout this module.

2. To analyse globalisation, sustainability and technological aspects influencing the performance of operations and the supply network.

Desalination Technology

The aim of this module is to provide you with a detailed technological understanding of strategically important issue of sustainable production of freshwater via different desalination methods.

Transport Phenomena

This level 7 module builds on knowledge acquired in level 4 (Fundamentals of Sustainability) and level 5 (Transport Processes and Mass Transfer Operations). Specifically, the module presents, analyses and discusses the fundamental phenomena of momentum, energy, and mass transport, emphasising throughout the analogies between them. It establishes the mathematical framework of the conservation equations (continuity, motion and energy) and the corresponding constitutive equations (Newton’s law of viscosity, Fourier’s law of heat conduction and Fick’s law of diffusion). These are then applied to analyse various flow, heat transfer and mass transfer situations of importance to chemical engineering and obtain exact analytical solutions to steady state, unidirectional Newtonian and non-Newtonian flow problems and to steady-state heat and mass transfer problems. In addition, students are introduced to the use of CFD packages to solve situations not possible analytically. Application to environmental engineering is considered in the CW where students undertake in small groups a CFD analysis of an environmentally related problem (e.g. modelling the continuous discharge of a pollutant in a moving stream).

After completing this module, students will be able to critically evaluate and coherently implement core principles, knowledge and understanding of transport phenomena and apply them to a range of chemical engineering flow, heat and mass transport situations including those impacting the environmental and requiring sustainable engineering solutions.

This module supports two key learning pillars: Process Engineering and Sustainable Engineering. As students progress through their programme, they will dive deeper into these areas, starting with the basics at level 4 and moving towards more advanced topics at level 6 and beyond. All modules align with the Bradford Curriculum and meet the requirements of the IChemE accreditation framework.

Process Design

Enable students to practice advanced principles of process Design, starting from a knowledge of the chemistry involved and taking into account chemical, technical, environmental, safety and economic constraints.

Food and Pharmaceutical Process Engineering

This level 7 module builds on diverse knowledge acquired in level 4, 5 and 6. It is a multidisciplinary module that provides students with advanced knowledge of mixing, crystallisation, drying, extrusion, separation in process industry, the design of equipment for food and pharmaceutical processing such as mixing, hot melt extrusion, distillation, extraction, membrane separation and heat treatment units. Economic, legal, social and environmental issues are explained in relation to the use of these unit operations.

The students will be exposed to food process models of different complexity, will be able to use these models in an industry standard modelling platform (gPROMS) and will be able optimise design and operation of various food processes.

This module supports two key learning pillars: Process Engineering and Sustainable Engineering. As students progress through their programme, they will dive deeper into these areas, starting with the basics at level 4 and moving towards more advanced topics at level 6 and beyond. All modules align with the Bradford Curriculum and meet the requirements of the IChemE accreditation framework.

Upstream Production and Refinery Operations

The objective is to provide the students with expert level knowledge of upstream petroleum and refining processes synthesis, simulation and design.

MSc Project

To further develop practical evaluation of professional engineering activity in a chosen specialisation. To extend the student's ability to plan, implement and review appropriate activities in a large and academically demanding project, so as to achieve an agreed set of objectives in a given time scale.