DATA ANALYTICS

This module will immerse you in the foundational principles and practical applications of data analytics, essential for success in today's data-driven industries. You will develop a comprehensive understanding of core data analytics concepts and techniques, build your skills to extract valuable insights from complex datasets and drive data-informed decision-making. This module is designed to equip you with the essential skills and knowledge needed to excel in the rapidly evolving field of data analytics. Over 12 weeks, you will comprehensively explore data analytics methodologies, tools, and best practices, focusing on addressing real-world challenges and opportunities.

This module will teach you to transform raw data into impactful visualisations grounded in the latest research and industry practices. You will gain hands-on experience with cutting-edge tools and learn to design visually striking, meaningful data representations that reveal patterns, identify trends, and communicate findings effectively. You will align visualisation strategies with business objectives through real-world case studies across various industries. Upon completion, you will be a versatile data visualisation specialist, ready to drive innovation and redefine data storytelling in any organisation.

This module introduces and develops essential development tools and coding skills for analysing and interpreting data. This module covers programming tools and skills, particularly in applications for data analytics, utilising data structures, design patterns, and relevant programming libraries. You will also work on hands-on projects to apply programming concepts in real-world scenarios and integrate them with databases and big data platforms. Suitable for both beginners and advanced users, this module is essential for building effective data science applications and acquiring practical, industry-relevant skills.

In this module, you will use statistical learning strategies and methodologies to gain knowledge of statistical data analysis to create and test hypotheses. You will also learn to make practical decisions in analytics through related concepts and methods. The module supports basic and advanced statistical tests and integrates seamlessly with various data sources. This module is essential for transforming raw data into actionable insights, enabling users to make informed, data-driven decisions effectively.

This module introduces the core data mining concepts, techniques, algorithms, research issues and practical skills for applying data mining techniques to solve real-world problems. The module covers the knowledge discovery process, involving data mining and pre-processing and post-processing steps. It also focuses on the concepts of data mining applications and further aims to develop skills in data mining tools to evaluate the quality of the discovered knowledge.

This module aims to develop students’ knowledge and competence of the research process and the application of research methods in Data Analytics. It covers an introduction to qualitative, quantitative, and mixed-method research and considers the contexts within which different methods are useful and how they should be applied in practice. It focuses on research design, data collection and analysis, and the presentation of findings.

This module introduces students to the disciplines and techniques necessary for critically appraising complex data and industry practices. It also covers the key skills needed to successfully complete a research project, ranging from developing a research approach, setting research aims and objectives, critically reviewing existing literature, evaluating appropriate methodologies, and analysing research data and information. The module will develop students' skills and expertise in the essential research tools they need for successful Postgraduate study and as leaders in their chosen service industry sector.

This module will help you transform your data analytics skills into real-world impact. The Data Analytics Capstone Project module offers you an exciting opportunity to undertake a major project that will consolidate everything you have learned in the taught programme. This module is not just about theory; it is about putting your knowledge into practice. You will plan and work on a significant data analytics project, developing independent learning skills along the way. You will have the chance to apply your creativity and problem-solving abilities to real-world challenges or client briefs, as you work to meet their needs and innovate solutions. You will be encouraged to manage all aspects of your project, including planning, developing project documentation, and managing activities, learning to work within practical contexts. You will also sharpen your communication skills, learning to effectively engage with stakeholders, present your findings, and produce clear and concise project documentation. Through a reflective report, you will evaluate the success of your project, providing an opportunity to appraise your strengths and areas for development. This capstone project is designed to boost your confidence, enhance your skills, and develop your leadership potential, preparing you for a successful career in data analytics. This module will prepare you to become a data analytics professional who can develop robust solutions by thinking creatively, managing projects effectively, and engaging with stakeholders.

The Postgraduate Work Placement module provides you with the opportunities to further develop practical skills, relate theory to practice and to gain a sound base of experience. In addition, the module seeks to develop 'life skills' to assist you in progressing towards a career in management. The placement period offers you the opportunity to experience work in industry. Your needs and any previous experience are taken into consideration, when supporting you in your placement search.