The aim of this module is to provide the students with an understanding and programming skills for for solving practical problems in different applications.

The aims of this module are to:

• Introduce students to the foundational concepts of data processing and their use in Artificial Intelligence (AI).
• Enable students to gain background knowledge necessary to understand and develop different algorithms in AI and Data analytics.

The aim of this module is to give students an opportunity to explore grand challenges facing our global society and to propose imaginative solutions to specific challenges in one or more country.

Students will critically reflect on the United Nations Sustainability Development Goals and think about how Loughborough University's Creating Better Futures. Together Strategy might contribute to them.

Students will engage with ideas and approaches to possible solutions from their own programme and gain diverse insights from Loughborough University London's interdisciplinary ecosystem. This will involve solution-oriented thinking and a balance between criticality and possibility, leading to a deep understanding of grand challenges and imagining creative responses to them.

The aim of this module is to enhance student's ability to use design approaches and tools for identifying and implementing human centered innovation opportunities.

This module will provide foundational skills in python and R to clean, prepare, and visualise sports data including spatial distributions, heatmaps, and other visual representations. Foundational statistical skills will also be introduced to understand data patterns and relationships between variables. Module examples will be derived using sporting data from major leagues such as the NBA, MLB, EPL, and IPL.

The aims of this module are to:

• Introduce the concept of Big Data systems and the challenges posed by such systems
• Introduce the requirement of advanced analytics, processing techniques and architectural solutions to tackle the problems encountered

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

• A desk based research project that could be set by an organisation or could be a subject of the student's choice.
• A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
• A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.

The aims of this module are to:

• Introduce students to the concepts of data driven decision making and their use in Artificial Intelligence (AI).
• Enable students to experiment with reinforcement learning and develop different algorithms for applications that require automatic control.

Advances in machine learning, deep learning, and natural language processing are forging new responses to global challenges from climate change to the creation of resilient supply chains. A.I. is also changing how creative industries innovate and transforming performance analytics and injury prediction in sport.

Despite its extraordinary potential, A.I. raises profound concerns about the displacement of jobs, the respect for privacy and intellectual property and the risks of algorithmic discrimination. The growing possibility of general A.I. also poses fundamental questions about the future of humanity in a world of super intelligence.

The aim of this module is to examine the evolving societal consequences of A.I. and to explore how governments, international organisations and civil society groups are trying to create safe, secure, and trustworthy artificial intelligence systems.

The aims of this module are to provide the students with the knowledge and understanding of computing concepts related to the emerging IoT platforms and devices and their deployment.

The aims of this module are to develop students' knowledge and understanding of cybersecurity incidents and processes required for the digital investigation involved aftermath of cyberattacks and cybercrimes.

The aims of this module is to equip students with advanced programming skills necessary for developing artificial intelligence systems, and for visualising big datasets.

The aims of this module are to:

• Provide students with an opportunity to be exposed to project-based teamwork in diverse settings (understood in this context as involving a range of multidisciplinary, multicultural and demographic elements in differing configurations), aiming to strengthen their cooperative and collaborative working skills and competence, while raising awareness and appreciation of diversity itself.
• Provide students with hands on experience of identifying, framing and resolving practice oriented and real-world based challenges and problems, using creativity, critical enquiry and appropriate tools to achieve valuable and relevant solutions.
• Support the development of students' ability to engage in critical enquiry and individual reflection, as well as to apply individual strengths and skills, building on their own educational backgrounds.
• Provide students with opportunities for networking with stakeholders, organisations and corporations, aiming to enhance the competence and skills needed to connect to relevant parties and build up future professional opportunities.

The aim of this module is to provide the students with an overview of the cloud technology with a special emphasis on cloud applications and the associated challenges.

The aims of this module are to introduce students to games technology concepts, basic game architectures and tools, fundamental theories and common practices in game software development, essential knowledge of game-related digital media rendering, game creation packages and their use in digital creative media design and development processes, state-of-the-art methods in capturing and processing of 3D audio and video

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

• A desk based research project that could be set by an organisation or could be a subject of the student's choice.
• A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
• A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.