Most useful optional modules for my MSc?

Hi everyone, I'm a postgraduate student at the uni of Warwick and I've got to choose 2 optional modules for my MSc (Business with A&F). I'd like to shape my CV to work in equity research/Asset management.

Which one do you guys think would be the most useful in an actual job?

  • Governance and Corporate Responsibility: Appreciate the wider institutional location of business activity. Examine how firms are both 'takers' and 'givers' of governance and regulation in a variety of formal and informal ways.
  • Digital Working & Organisational Transformation: To be effective in modern organisations requires an understanding of the dynamics of digital work. This module equips students with a broad understanding of the tools and organisational arrangements driving this shift towards digital working, and provides them with techniques and frameworks to operate effectively in this more dynamic and fluid work environment. The module reviews major trends and changes in the workplace arising from the increased adoption of digital tools to support work practices in modern organisations. It reviews major drivers of adoption of these tools and the emergence of new dynamics of interactions and patterns of work.
  • Leading for Innovation: This module aims to develop a greater understanding of how to foster an innovative work environment. It also aims to understand how to develop leaders for innovation.
  • Project Management: This module aims to span a range of sectors with a multidisciplinary approach, and to sensitise students to the strategic power of projects for achieving sustainable competitive advantage. The module provides conceptual, analytical and practical insights into the management of projects.
  • Ethical Leadership: Students will investigate and analyse organisational situations where issues of ethics, values and responsibility are paramount.
  • Behavioural Economics: This module introduces students to the ways in which economists and psychologists have used behavioural theories and experimental methods to provide extensions to, or alternatives to, the conventional economic wisdom covered by most standard Microeconomic courses. It will examine recent cutting-edge research and consider the implications of that research for individual decision making, the operation of markets and public sector policy-making.
  • Design in Business: The objectives of this module are to: Provide students with an appreciation of the roles of design within a business context; Develop in students a good understanding of the contribution design can make to innovation and organisational success; Critically examine various innovation and design approaches and processes, and the scope and content of design in both product and service context; Provide insights into the functions and contributions of professional designers; Discuss the emergence of 'design thinking' and its importance to business; Explore the issues related to the management of cross-functional teams; Examine the impact that design and designers can make on organisational performance.
  • Digital Marketing Technology: This module aims to provide an overview about how today's firms use digital marketing technologies to achieve their business objectives. Students will require theoretical and practical subject knowledge and understanding, cognitive and methodological skills (e.g. written assignment, critical reflections, discussions in seminars, hands-on exercises) and social/soft skills (e.g. leadership and team work).
  • Forecasting for Decision Makers: The module aims to providing training on methods that aid decision making when managers face an uncertain future. The module covers methods for short-term and long-term forecasting of product demand and macroeconomic variables. The module discusses how forecasting aids decision-making.
  • Economics in the Global Environment: This module provides real world examples and case studies which illustrate how economic thinking helps businesses make the most of new opportunities while managing the risks associated with expansion into new markets and regions. The topics covered draw on ideas and research from macroeconomics, microeconomics, international finance, energy, resources, development and labour economics. The module teaches introductory economics, from a global perspective.
  • Digital Business Services: This module focuses on how digital technologies enable organisations to offer digital services that aim at improving customer experience as well as firm performance. The module assumes no prior knowledge of technology and prepares students to engage with technology-related conversations (e.g., designing a new digital service) at the modern workplace. The module has three themes. The first theme is gaining competitive advantage using a digital business strategy and covers concepts such as motivations for digital transformation. The second theme provides an overview of what today’s managers need to know about the advantages and disadvantages of cutting-edge technologies including artificial intelligence (AI), virtual reality, internet of things (IoT), cloud computing, social media, and data analytics. The last theme focuses on the lifecycle of digital service provision, covering key concepts such as technology selection and sourcing, agile implementation, and risk management.
  • Entrepreneurship and Business Venturing: In this module you will study the contexts, components, and processes of entrepreneurial behaviour in different types of organisations and focus on key issues in developing business proposals and plans.
  • International Business: The module aims to develop a critical awareness of the issues, problems, concepts, and skills associated with the development of international business strategy and operations. Topics will include: the drivers and processes of internationalisation, cross-cultural management challenges, the assessment of overseas investment opportunities and the specific challenges of emerging markets.
  • Case Studies in Data Science & Economics: The module aims to provide training in applying data science methods to contemporary economic problems by looking at case studies. Specifically, the module aims to give you the opportunity to conduct a data science project using economic data. You will discover how to replicate and extend a data science case. The module aims to give the appropriate grounding in economic analysis, while developing your research and communication skills. A formative group exercise will be set whereby groups will be given data and asked to conduct a statistical analysis of the economic problem. This will serve as a "dummy run" for the individual assignment, and there will be in-class feedback.
  • Equality & Diversity: The aim of the module is to introduce you to current thinking and debate in the area of researching equality and diversity in organisations and the labour market. In particular, the module aims to build on knowledge developed during core modules by offering detailed thematic study of the area making explicit links with current empirical research conducted by staff in OHRM.
  • Strategic HRM: Strategic human resource management is concerned with the creation of value through the management of human and social capital in organisations. The value of HRM is realised when the capacities and motives of individuals, groups are directed towards the strategic objectives of the organisation. The aim of the module is to provide you with a deep understanding of this strategic role of human capital management and the tools with which to analyse and manage it. We will consider what it means to align the HR function with strategic objectives. We will ask whether all human capital is equally valuable. We will debate the extent to which human capital and its associated outcomes are quantifiable in a meaningful way. We will examine whether HRM can support both efficiency and flexibility at the same time. Ultimately, the class will provide a range of models and tools for managing human capital in a strategic way.
 

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