MSc — 2025 entry Entrepreneurship & Innovation Management

It is an unfortunate fact that majority of global strategies fail in the stage of implementation. Many inner organisational and outer organisational factors affect the implementation of the global strategy. Thus, it is vital for management students to learn how to implement global strategies effectively. The module focuses on a range of topics such as process of strategy implementation, and influential factors on implementing the global strategy. Strategy-related subjects shape at least half of the contents in this programme.

Information and communication technology is changing the way companies interact with consumers. Technological evolution continues apace and marketers are seeking to exploit it in new, creative ways. This module provides a comprehensive framework for understanding the contextual, strategic and operational issues involved in the application of digital transformation to marketing. The course will be of particular value to students planning careers in digital marketing and marketing consulting.

This course introduces modern programming concepts and practice for students with little or no background in computing using the computer language Python. The course will start with a presentation of basic programming concepts, including data types and structures as they exist in Python. Loops and conditional statements will then be introduced, as well as custom functions, along with a wider discussion of structured programming and ways to reuse code. Students will then consider practical applications of programming. They will learn to work with data input and output in different formats, use suitable libraries for scientific computing and data analysis, and create plots and visualizations to display results. Throughout the course, students will engage with professional programming practices and tools (test-driven development, version control, code reviewing, debugging), and will have the opportunity to collaborate with peers to develop their skills.

Module purpose: Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical world with the cyber world. This evolving framework, now recognized as the Artificial Intelligence of Things (AIoT), integrates IoT technologies with artificial intelligence (AI) to enhance automation, intelligence, and decision-making. AIoT incorporates several cutting-edge technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context awareness, distributed systems, and machine learning-driven analytics. Module Overview: The advanced AIoT module is designed to provide a comprehensive understanding of how machine communications , coupled with AI, contribute to creating smart artificial intelligence-driven environments, focusing on networking and communication systems. The module provides an overview of the key concepts and enabling technologies for AIoT. It encompasses a cross-layer approach, allowing students to explore the practical aspects of sensors, actuators, and mainly communication systems for AIoT across physical, media access, and network layers. This includes security considerations, satellite AIoT, positioning and tracking for industrial applications, AIoT Platforms (Hardware, Software), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms. Also, the module explores AI-driven methodologies such as ensemble learning, multi-armed bandits for sequential decision-making, and lightweight machine learning Mmodels for AIoT applications. These techniques enhance real-time data analysis, predictive maintenance, anomaly detection, and adaptive control while ensuring computational efficiency.

In an increasingly globalised business and business environment, it is necessary for management students to learn how to strategies internationally viable global strategies. This module covers a variety of topics such as global strategic analysis, global strategy formulation, and global strategy execution. Strategy-related subjects shape at least half of the contents in this programme.

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

This module introduces students to the concept and current practices in marketing analytics. Technology advances of the past decade have dramatically enhanced marketers' means of collecting and analysing data to measure the effectiveness of their marketing strategies. This module is designed to provide students with an overview of state-of-the-art marketing analytics practices that guide marketing executives in their strategic decisions. The module focuses on introducing students to key analytical techniques with an emphasis on interpreting results and generating strategic insights for marketing decision-making. The course will be of particular value to students planning careers in marketing and management consulting. The course is designed for students with a basic understanding of univariate and bivariate statistics. Addressing different learning styles, the following teaching methods are applied in this course: Pre-readings, Lectures, Class Exercises, Class Discussions, and Real World Cases/Industry Insights.

For students who desire to pursue an original business idea, this module offers the opportunity to develop an independent business project where they can apply learning from the classroom and benefit from access to the resources of SETSquared Surrey, part of one of the top-ranked university business accelerators in the world; these resources includes mentoring and access to networking events to help develop the new business opportunity beyond a conceptual stage. The module builds on learning from other modules in the MSc programme including module MANM298 New Business Venturing and MANM104 Entrepreneurship & Digital Economy. To be accepted into the module, students must also demonstrate sufficient validation of their new business opportunity for criteria set in conjunction with SETSquared Surrey

It is an unfortunate fact that majority of global strategies fail in the stage of implementation. Many inner organisational and outer organisational factors affect the implementation of the global strategy. Thus, it is vital for management students to learn how to implement global strategies effectively. The module focuses on a range of topics such as process of strategy implementation, and influential factors on implementing the global strategy. Strategy-related subjects shape at least half of the contents in this programme.

Information and communication technology is changing the way companies interact with consumers. Technological evolution continues apace and marketers are seeking to exploit it in new, creative ways. This module provides a comprehensive framework for understanding the contextual, strategic and operational issues involved in the application of digital transformation to marketing. The course will be of particular value to students planning careers in digital marketing and marketing consulting.

This course introduces modern programming concepts and practice for students with little or no background in computing using the computer language Python. The course will start with a presentation of basic programming concepts, including data types and structures as they exist in Python. Loops and conditional statements will then be introduced, as well as custom functions, along with a wider discussion of structured programming and ways to reuse code. Students will then consider practical applications of programming. They will learn to work with data input and output in different formats, use suitable libraries for scientific computing and data analysis, and create plots and visualizations to display results. Throughout the course, students will engage with professional programming practices and tools (test-driven development, version control, code reviewing, debugging), and will have the opportunity to collaborate with peers to develop their skills.

Module purpose: Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical world with the cyber world. This evolving framework, now recognized as the Artificial Intelligence of Things (AIoT), integrates IoT technologies with artificial intelligence (AI) to enhance automation, intelligence, and decision-making. AIoT incorporates several cutting-edge technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context awareness, distributed systems, and machine learning-driven analytics. Module Overview: The advanced AIoT module is designed to provide a comprehensive understanding of how machine communications , coupled with AI, contribute to creating smart artificial intelligence-driven environments, focusing on networking and communication systems. The module provides an overview of the key concepts and enabling technologies for AIoT. It encompasses a cross-layer approach, allowing students to explore the practical aspects of sensors, actuators, and mainly communication systems for AIoT across physical, media access, and network layers. This includes security considerations, satellite AIoT, positioning and tracking for industrial applications, AIoT Platforms (Hardware, Software), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms. Also, the module explores AI-driven methodologies such as ensemble learning, multi-armed bandits for sequential decision-making, and lightweight machine learning Mmodels for AIoT applications. These techniques enhance real-time data analysis, predictive maintenance, anomaly detection, and adaptive control while ensuring computational efficiency.

In an increasingly globalised business and business environment, it is necessary for management students to learn how to strategies internationally viable global strategies. This module covers a variety of topics such as global strategic analysis, global strategy formulation, and global strategy execution. Strategy-related subjects shape at least half of the contents in this programme.

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

This module introduces students to the concept and current practices in marketing analytics. Technology advances of the past decade have dramatically enhanced marketers' means of collecting and analysing data to measure the effectiveness of their marketing strategies. This module is designed to provide students with an overview of state-of-the-art marketing analytics practices that guide marketing executives in their strategic decisions. The module focuses on introducing students to key analytical techniques with an emphasis on interpreting results and generating strategic insights for marketing decision-making. The course will be of particular value to students planning careers in marketing and management consulting. The course is designed for students with a basic understanding of univariate and bivariate statistics. Addressing different learning styles, the following teaching methods are applied in this course: Pre-readings, Lectures, Class Exercises, Class Discussions, and Real World Cases/Industry Insights.

For students who desire to pursue an original business idea, this module offers the opportunity to develop an independent business project where they can apply learning from the classroom and benefit from access to the resources of SETSquared Surrey, part of one of the top-ranked university business accelerators in the world; these resources includes mentoring and access to networking events to help develop the new business opportunity beyond a conceptual stage. The module builds on learning from other modules in the MSc programme including module MANM298 New Business Venturing and MANM104 Entrepreneurship & Digital Economy. To be accepted into the module, students must also demonstrate sufficient validation of their new business opportunity for criteria set in conjunction with SETSquared Surrey

It is an unfortunate fact that majority of global strategies fail in the stage of implementation. Many inner organisational and outer organisational factors affect the implementation of the global strategy. Thus, it is vital for management students to learn how to implement global strategies effectively. The module focuses on a range of topics such as process of strategy implementation, and influential factors on implementing the global strategy. Strategy-related subjects shape at least half of the contents in this programme.

Information and communication technology is changing the way companies interact with consumers. Technological evolution continues apace and marketers are seeking to exploit it in new, creative ways. This module provides a comprehensive framework for understanding the contextual, strategic and operational issues involved in the application of digital transformation to marketing. The course will be of particular value to students planning careers in digital marketing and marketing consulting.

This course introduces modern programming concepts and practice for students with little or no background in computing using the computer language Python. The course will start with a presentation of basic programming concepts, including data types and structures as they exist in Python. Loops and conditional statements will then be introduced, as well as custom functions, along with a wider discussion of structured programming and ways to reuse code. Students will then consider practical applications of programming. They will learn to work with data input and output in different formats, use suitable libraries for scientific computing and data analysis, and create plots and visualizations to display results. Throughout the course, students will engage with professional programming practices and tools (test-driven development, version control, code reviewing, debugging), and will have the opportunity to collaborate with peers to develop their skills.

Module purpose: Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical world with the cyber world. This evolving framework, now recognized as the Artificial Intelligence of Things (AIoT), integrates IoT technologies with artificial intelligence (AI) to enhance automation, intelligence, and decision-making. AIoT incorporates several cutting-edge technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context awareness, distributed systems, and machine learning-driven analytics. Module Overview: The advanced AIoT module is designed to provide a comprehensive understanding of how machine communications , coupled with AI, contribute to creating smart artificial intelligence-driven environments, focusing on networking and communication systems. The module provides an overview of the key concepts and enabling technologies for AIoT. It encompasses a cross-layer approach, allowing students to explore the practical aspects of sensors, actuators, and mainly communication systems for AIoT across physical, media access, and network layers. This includes security considerations, satellite AIoT, positioning and tracking for industrial applications, AIoT Platforms (Hardware, Software), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms. Also, the module explores AI-driven methodologies such as ensemble learning, multi-armed bandits for sequential decision-making, and lightweight machine learning Mmodels for AIoT applications. These techniques enhance real-time data analysis, predictive maintenance, anomaly detection, and adaptive control while ensuring computational efficiency.

In an increasingly globalised business and business environment, it is necessary for management students to learn how to strategies internationally viable global strategies. This module covers a variety of topics such as global strategic analysis, global strategy formulation, and global strategy execution. Strategy-related subjects shape at least half of the contents in this programme.

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

This module introduces students to the concept and current practices in marketing analytics. Technology advances of the past decade have dramatically enhanced marketers' means of collecting and analysing data to measure the effectiveness of their marketing strategies. This module is designed to provide students with an overview of state-of-the-art marketing analytics practices that guide marketing executives in their strategic decisions. The module focuses on introducing students to key analytical techniques with an emphasis on interpreting results and generating strategic insights for marketing decision-making. The course will be of particular value to students planning careers in marketing and management consulting. The course is designed for students with a basic understanding of univariate and bivariate statistics. Addressing different learning styles, the following teaching methods are applied in this course: Pre-readings, Lectures, Class Exercises, Class Discussions, and Real World Cases/Industry Insights.

For students who desire to pursue an original business idea, this module offers the opportunity to develop an independent business project where they can apply learning from the classroom and benefit from access to the resources of SETSquared Surrey, part of one of the top-ranked university business accelerators in the world; these resources includes mentoring and access to networking events to help develop the new business opportunity beyond a conceptual stage. The module builds on learning from other modules in the MSc programme including module MANM298 New Business Venturing and MANM104 Entrepreneurship & Digital Economy. To be accepted into the module, students must also demonstrate sufficient validation of their new business opportunity for criteria set in conjunction with SETSquared Surrey