In this module, you will learn about the information governance and cyber security principles that underpin the management of an organisation’s information assets. You will critically analyse the key concepts, theories, standards and frameworks of information governance and security, including risk management.

It will enable you to evaluate an organisation’s current approach to information governance and cyber security. You will have the expertise to advise on the design and implementation of an appropriate strategy for managing an organisation’s information (ensuring all assets meet legal, regulatory, organisational and/or societal needs for information governance and cybersecurity).

In this module, you will develop new knowledge and skills in leadership in a digital context. You will conduct a self-analysis of your own leadership and team management competencies and identify strengthens and areas of improvements.

Leadership and team management capabilities are essential for your career development. They enable you to become competent at the visioning, development and deployment of technological strategies and responses to challenges and opportunities in complex operating environments.

In this module, you will develop a critical understanding of applied data science methods, techniques and tools. You will learn how to manage, manipulate and model data in its various forms and harness its potential for business intelligence.

We will look at scientific methods and the fundamental statistical approaches used for predictive modelling applied to real-world problem scenarios, using state of the art tools and technologies including the use of programming languages such as SQL, Python or similar, and tools such as Power BI, Tableau or similar.

In addition, we will investigate the visualisation of data and consider how the findings from data science projects can be communicated to various target audiences.

This module is designed to support your transition in the use and practice of technical language and subject-specific skills around assessments and teaching provision in your chosen subject area.

The overall aim of this module is to develop your abilities to read and study effectively for academic purposes.

You will gain practical skills in analysing source material and using it in seminars and academic writing, whilst advancing your language and communications skills to a higher level.

This module is designed to ensure you have the skills and knowledge to complete a postgraduate research project, relevant to Big Data and Data Science Technology and your career or future aspirations. As such, you will work closely with tutors and our careers and professional development specialists to consider the future opportunities post completion of your degree.  You will develop a career plan and reflect on your learning considering how your learning from this module and the programme can accelerate the achievement of this plan.

To further prepare you for your final research project, this module will familiarise you with the nature of research and project management and the processes involved. Research approaches and methods will be covered, including literature evaluation and review.

In this module, you will additionally explore and use several tools and techniques that are in use in the field of project management to ensure that projects are completed successfully.

This module provides you with in-depth coverage of fundamental concepts and principles of big data and the analytical techniques and technologies used for big data analytics.

Big data analytics relates to the use of advanced analytical techniques applied to vast volumes of rapidly changing diverse data sets to gain knowledge, insights and uncover hidden patterns from data. Such insights and knowledge provide a competitive advantage to businesses and organisations and also help them inform their decisions to transform their businesses.

You will develop the ability to apply statistical and big data science techniques to large-scale data sets by using a unified analytics framework and programming environment such as Jupiter Notebook, VS Code, Google Collaboratory, or similar.

You will learn how to analyse large organisational data assets (including text and web data) and create data-driven solutions to real-world problem scenarios to advance the knowledge base used for business intelligence.

The module aims to provide you with a critical review of the theory and practice of machine learning on the cloud platform. You will critically analyse the capabilities of machine learning and apply its methods and techniques to discover patterns for trends analysis.

The module will introduce you to neural networks and their implementation. You will train and deploy distributed machine learning models using cloud-based platforms such as Google Cloud or AWS or Microsoft Azure, or similar. You will develop skills on how to apply supervised, unsupervised and reinforcement learning using cloud platforms and tools such as TensorFlow or similar.

This module aims to enable you to undertake a substantial academic research project at the Masters level and present the results from this work in both written and oral forms. Your project itself will be a piece of independent and original research centred at the forefront of your programme discipline within the wider sphere of the computer science and digital technologies field.

You will experience the full life cycle of a research project- from initial conception and development of a research proposal, through a critical review of the literature, planning, design, implementation and analysis of your main research project, to final evaluation, reflection and dissemination.

You will be expected to consider and address the professional, ethical, legal and social issues related to this academic research project. You will also be expected to apply your expertise, project management and practical skills within your particular domain of computer science and digital technologies and demonstrate critical and innovative thinking and problem-solving within a research environment.

Your research proposal will normally have been produced as part of an earlier module on research and project planning but should be reviewed again at the start of the project phase to ensure it is still valid and appropriate.

In this module, you will learn about the information governance and cyber security principles that underpin the management of an organisation’s information assets. You will critically analyse the key concepts, theories, standards and frameworks of information governance and security, including risk management.

It will enable you to evaluate an organisation’s current approach to information governance and cyber security. You will have the expertise to advise on the design and implementation of an appropriate strategy for managing an organisation’s information (ensuring all assets meet legal, regulatory, organisational and/or societal needs for information governance and cybersecurity).

In this module, you will develop new knowledge and skills in leadership in a digital context. You will conduct a self-analysis of your own leadership and team management competencies and identify strengthens and areas of improvements.

Leadership and team management capabilities are essential for your career development. They enable you to become competent at the visioning, development and deployment of technological strategies and responses to challenges and opportunities in complex operating environments.

In this module, you will develop a critical understanding of applied data science methods, techniques and tools. You will learn how to manage, manipulate and model data in its various forms and harness its potential for business intelligence.

We will look at scientific methods and the fundamental statistical approaches used for predictive modelling applied to real-world problem scenarios, using state of the art tools and technologies including the use of programming languages such as SQL, Python or similar, and tools such as Power BI, Tableau or similar.

In addition, we will investigate the visualisation of data and consider how the findings from data science projects can be communicated to various target audiences.

This module is designed to support your transition in the use and practice of technical language and subject-specific skills around assessments and teaching provision in your chosen subject area.

The overall aim of this module is to develop your abilities to read and study effectively for academic purposes.

You will gain practical skills in analysing source material and using it in seminars and academic writing, whilst advancing your language and communications skills to a higher level.

This module is designed to ensure you have the skills and knowledge to complete a postgraduate research project, relevant to Big Data and Data Science Technology and your career or future aspirations. As such, you will work closely with tutors and our careers and professional development specialists to consider the future opportunities post completion of your degree.  You will develop a career plan and reflect on your learning considering how your learning from this module and the programme can accelerate the achievement of this plan.

To further prepare you for your final research project, this module will familiarise you with the nature of research and project management and the processes involved. Research approaches and methods will be covered, including literature evaluation and review.

In this module, you will additionally explore and use several tools and techniques that are in use in the field of project management to ensure that projects are completed successfully.

This module provides you with in-depth coverage of fundamental concepts and principles of big data and the analytical techniques and technologies used for big data analytics.

Big data analytics relates to the use of advanced analytical techniques applied to vast volumes of rapidly changing diverse data sets to gain knowledge, insights and uncover hidden patterns from data. Such insights and knowledge provide a competitive advantage to businesses and organisations and also help them inform their decisions to transform their businesses.

You will develop the ability to apply statistical and big data science techniques to large-scale data sets by using a unified analytics framework and programming environment such as Jupiter Notebook, VS Code, Google Collaboratory, or similar.

You will learn how to analyse large organisational data assets (including text and web data) and create data-driven solutions to real-world problem scenarios to advance the knowledge base used for business intelligence.

The module aims to provide you with a critical review of the theory and practice of machine learning on the cloud platform. You will critically analyse the capabilities of machine learning and apply its methods and techniques to discover patterns for trends analysis.

The module will introduce you to neural networks and their implementation. You will train and deploy distributed machine learning models using cloud-based platforms such as Google Cloud or AWS or Microsoft Azure, or similar. You will develop skills on how to apply supervised, unsupervised and reinforcement learning using cloud platforms and tools such as TensorFlow or similar.

This module aims to enable you to undertake a substantial academic research project at the Masters level and present the results from this work in both written and oral forms. Your project itself will be a piece of independent and original research centred at the forefront of your programme discipline within the wider sphere of the computer science and digital technologies field.

You will experience the full life cycle of a research project- from initial conception and development of a research proposal, through a critical review of the literature, planning, design, implementation and analysis of your main research project, to final evaluation, reflection and dissemination.

You will be expected to consider and address the professional, ethical, legal and social issues related to this academic research project. You will also be expected to apply your expertise, project management and practical skills within your particular domain of computer science and digital technologies and demonstrate critical and innovative thinking and problem-solving within a research environment.

Your research proposal will normally have been produced as part of an earlier module on research and project planning but should be reviewed again at the start of the project phase to ensure it is still valid and appropriate.

This module aims to provide you with an experiential learning opportunity where you will work on a group consultancy project that utilises skills and knowledge acquired during the taught part of your study programme. You will work as a team of 3-5 students on a project for a real-world organisation and be supported by an experienced academic supervisor throughout your project.

You will learn to work independently and develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies. The module will help you develop your abilities as a problem solver with valued investigative, theoretical and practical skills to implement a work-based consultancy project. Through this consultancy project, you will help develop hands-on experience of working on a real-life project that experience is directly transferrable to be utilised to the world of work after your graduation.

The Advanced Practice Research Project module is designed to deepen your knowledge and enhance your research skills in your specialist field. The aim of this module is to provide you with an opportunity to work on a research study that utilises skills and knowledge acquired during the taught part of your study programme. You will be supported by an experienced academic supervisor who would provide guidance at different stages of this research project.

A high level of participation will be required from you to undertake this research project. Independent learning will help you focus on identifying and pursuing areas of interest in relation to the research study or by providing deeper/broader knowledge and understanding of the subject through a range of learning activities that might include extended reading, reflection, research etc and application of these to your research-based project. You will learn to work independently and develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies. The module will help you develop your abilities as a researcher with valued investigative, data analytical, theoretical and practical skills to implement a research project.

This Advanced Practice module is designed to deepen your knowledge and enhance employability in your specialist field. This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the taught part of your study programme. You will develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies. However, the internship placement is not guaranteed by the university.

You will be allocated an academic supervisor who would provide you with support throughout your internship.

Assessment on the module is designed to focus on the awareness of the impact of the time spent in an external learning environment, on your knowledge and understanding of the discipline. You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment.