Master of Business Administration

This module will approach leadership by identifying practices that researchers and practitioners have shown to be the most effective. Through these processes, students will gain a broad range of skills. This module examines how leaders can most effectively use the resources of their team members to achieve business outcomes. The module develops managerial and leadership competencies, focusing on how key improvements in the general strategy and techniques of managing people can produce outcomes more significant than isolated improvements to employee performance. The module provides students with concepts to support them across their careers as they continue to develop effective delegation, management strategy, and engagement with people inside of an organisation.

Specific topics covered include managing a diverse workforce; self-leadership; perception pitfalls; decision making; conflict resolution; emotional intelligence; improving performance; team structure.

In this module students will deepen and extend their ability to create and maintain high-quality relationships with people who come from a wide range of backgrounds and possess different points of view in order to create and execute processes that produce successful outcomes and results.

This module teaches business managers and leaders to reflect critically on concepts from the behavioural sciences that can be applied to a fast changing business environment to improve their abilities to lead and manage in organisations.

Behavioural frameworks for individuals, teams, and organisations are evaluated critically and discussed in the context of real-world cases. tutorial groups provide practice in problem-based teamwork, communicating in specialist and non-specialist registers, and in applying the frameworks in practice.

In this module students will gain the capacity to understand how firms work in a global context, incorporating a broad, future-oriented, systems-based approach that incorporates data, information and insights from diverse perspectives and sources. This module is designed to convey the key concepts of strategic thinking and how they fit into the larger context of management strategy and decisions. Students will be presented with both the practical “how” and the fundamental “why” in the light of contributions from behavioural science, economics, and statistics.

The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.

This module addresses how to design and implement the best combination of marketing efforts to carry out a firm's strategy in its target markets. Specifically, this module helps to develop the student's understanding of how the firm can benefit by creating and delivering value to its customers, and stakeholders, and develop skills in applying the analytical concepts and tools of marketing to such decisions as segmentation and targeting, branding, pricing, distribution, and promotion.

In this module students will strengthen their capacity to lead individuals, teams, and organisations in processes that generate data-driven solutions to problems, data-driven insights into customer behaviour, and data-driven decision-making.

This module provides the foundations of probability and statistics required for a manager to interpret large quantities of data and to make informed decisions under conditions of uncertainty, with incomplete information, and in both structured and unstructured settings. Theoretical topics include decision trees, hypothesis testing, multiple regression, and sampling.

In this module, students will develop specialised and multidisciplinary capacities to generate creative solutions and alternatives to existing business issues by refining their ability to lead processes that stimulate and manage creativity in a business.

Students will reflect critically on templates and methods for designing, implementing, and assessing processes that introduce creativity to real work situations. The module will engage with both the theoretical frameworks and practical methods or tools for cultivating practices of creativity in response to real business challenges.

Ultimately, the module cultivates skills for autonomous managers to lead creative projects, people, and ventures, and to oversee the processes that keep them on track.

This course equips students with a foundational yet comprehensive understanding of the sales process, focusing on the interplay between psychology, systems, and storytelling in achieving high-conversion sales. Students will explore each step of the sales journey—from identifying prospects and building rapport, to delivering persuasive pitches and closing deals with confidence. Through experiential activities, case studies, and role-plays, the module develops both the mindset and the practical skills required to thrive as a sales professional in dynamic business environments. Students will leave the course prepared to apply ethical and effective sales strategies to real-world situations, ensuring lasting customer relationships and business success.

This course provides hands-on experience with real-world AI tools and technologies that are transforming marketing and business practices. Students will learn to automate workflows, personalize marketing campaigns, and harness data for smarter, faster decision-making. Through applied projects and case studies, the course cultivates both technical and strategic skills essential for leveraging AI in today’s competitive landscape. Graduates will be equipped to select, implement, and manage AI solutions that drive efficiency, innovation, and measurable business results.

This course guides students from startup idea generation to the successful launch of an AI-powered Minimum Viable Product (MVP). Emphasizing lean startup principles and practical use of no-code tools, students will learn to rapidly prototype, test, and validate business ideas with minimal resources. Through experiential projects and user feedback analysis, participants will develop the skills to build effective MVPs, iterate based on real-world insights, and increase their chances of startup success in a fast-evolving entrepreneurial landscape.

This course trains students to evaluate startups from a venture capitalist’s perspective, mastering frameworks for assessing traction, team strength, market opportunity, and risk. Through case studies, simulations, and real-world examples, students develop the analytical and practical skills needed to conduct thorough due diligence and make sound investment recommendations. Graduates will be equipped to think like an investor, systematically analyze startups, and contribute to funding decisions in the entrepreneurial ecosystem.

This course equips students with the essential knowledge and skills to become effective angel investors in the global marketplace. Students will master the fundamentals of early-stage investing, develop a personal investment philosophy, and learn to navigate differences in startup ecosystems and regulatory environments across major markets. Through analysis, simulations, and case studies, participants will cultivate the ability to evaluate opportunities, manage risks, and make culturally informed investment decisions in an increasingly interconnected entrepreneurial world.

This course explores the psychological and relational aspects that underpin effective angel investing. Students will develop self-awareness and resilience, master the art of building and leveraging networks in angel communities, and learn to identify and counteract cognitive biases that impact investment decisions. Emphasizing both theory and practical application, the course empowers participants to establish meaningful mentor-investor relationships, foster collaborative environments, and enhance their long-term success in the world of early-stage investing.

This course prepares students to effectively navigate and evaluate startup ecosystems around the world, mastering both traditional and digital deal sourcing techniques. Students will learn how to systematically discover, assess, and select startups for investment across continents, with a focus on understanding and integrating cultural differences into their evaluation processes. Through practical assignments and global case studies, participants will build the skills and mindset needed to operate confidently and effectively in today’s interconnected and diverse startup landscape.

This course introduces students to the world of Agentic AI, focusing on systems that autonomously plan and execute tasks to achieve defined goals. Through a mix of theory and hands-on activities, students will learn to design and deploy simple AI agents for applications in research, operations, and workflow automation. The module also addresses practical and ethical considerations, equipping participants to critically assess agentic AI solutions and leverage them effectively across diverse contexts.

The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.

Throughout the module, students will study various tools for generating marketing insights from data in such areas as segmentation, targeting and positioning, satisfaction management, customer lifetime analysis, customer choice, product and price decisions using conjoint analysis, and text analysis, and search analytics.

Throughout this module, students will learn the basic concepts of needs analysis, investment policy, asset allocation, product selection, portfolio monitoring and rebalancing. Students will assess the various types of institutional investors, including pension funds and insurance companies and develop skills related to the client management life cycle and portfolio management as a process. The module will address the basic concepts, principles, and the major styles of investing in alternative assets. Additionally, students will learn about the impact of digitization on investment strategies and the issues related to performance measurement, transaction costs and liquidity risk, margin requirements, risk management, and portfolio construction. Other topics addressed in the module include quantitative investment strategies used by active traders and methodologies to analyse them. Through the use of case studies, students will learn to use real data to back-test or evaluate several of the most successful trading strategies used by active investment managers. As a result, students will learn to read and analyse academic research articles in search of profitable and implementable trading ideas.

This module provides students with advanced methods and frameworks for understanding customer needs, and for translating those needs into a program of research and product development that can be used to create a successful new product or service. It equips students with skills to generate new product hypotheses, to research the potential of a new product or entrepreneurial venture, and to adjust the product offering to fit the needs of customers. This module instills the all-important distinction between a ‘bright idea’ and a ‘business opportunity’ in new product creation. Using disciplined methods of customer and market analysis, students will gain advanced abilities in defining the core customers for a new product or entrepreneurial venture. Students will study the complex combination of factors that influence customers to adopt a new product or service. They will gain a comprehensive understanding of what makes entrepreneurial selling unique, and why it is valuable to integrate key aspects of selling and marketing activities in a new venture. Students will learn how to select potential customers through data collection, including customer interviews, and students will learn how to analyse that data to refine a product offering.

The Digital Action Programme for Business Administration provides a capstone course in which students deepen and apply their learning through a 'Digital Action Programme' (DAP). In the DAP, students are grouped into cohorts (typically five students) and must work both individually and together on a specific, real, contemporary business consultancy problem related to their specialisation (Data Analytics; Marketing; Finance; International Business; DEI), normally proposed by a cooperating organisation (corporation or non-profit), which results in a comprehensive solution proposal. This provides students with a real-world business consultancy engagement, and the opportunity to produce, both individually and as a team, a substantial piece of relevant, scholarly, and actionable research, to be presented directly to stakeholders in the cooperating organisation.

Over the course of the DAP, students fulfil the learning objectives: each student demonstrates their comprehensive knowledge and understanding of key business processes; each student uses multidisciplinary approaches to perform critical analyses of real business issues in situations of uncertainty and incomplete information in order to develop an actionable solution; each student practises teamwork, exercises their leadership skills, and reflects on their own performance and the performance of their cohort; and each student communicates to members of their cohort, the cooperating organisation, and faculty members from Woolf. Students are required to demonstrate autonomy, individual scholarly acumen, self-reflection in their engagement with peers, role adaptability within their cohort, and teamwork while engaged in the DAP. The goal of the DAP is (1) to fulfil the learning objectives and (2) to produce a project portfolio related to the area of specialisation containing an analysis of the business problem and the proposed solution. DAP Roles and Responsibilities

(a)

Individual students

Students are required to take responsibility for their own work, they must act autonomously on the basis of their prior learning and experience, and they must individually generate key research results that contribute to the DAP.

Each student must individually contribute through assignment submissions, which are marked on their individual merits. The final mark on the course (as described below) consists of 50% for the individual research submissions, and 50% for the cohort's final project taken as a whole. The final project contains individual contributions related to the student’s specialisation, but requires teamwork, and is graded as a whole in terms of its fulfilment of the learning objectives.

Thus 15 ECTS worth of the course is based on individual work, and 15 ECTS is based on the collaborative work of the Cohort.

(b)

Cohorts

Cohorts are groups of about 5 students that are assigned to address a single business problem, on which they commit to working both individually and as a team. Cohort members are selected based on their area of specialisation. All cohorts must agree to a cohort charter, which outlines the roles and responsibilities of the team. The cohort charter must include the following topics: timeliness; comprehensive designation of areas of responsibility, including gathering meeting agenda items, chairing meetings, meeting note-taking, and being the point of contact for the cooperating organisation; a schedule of rotating leadership positions across the modules units, and a commitment to professional teamwork that prioritises the goal of the DAP. Cohorts are encouraged to address issues that arise within the group together. However, should intervention be necessary, their Woolf teacher will be available to resolve any problems or conflicts.

(c)

Teachers

All cohorts are assigned a Woolf teacher to facilitate three cohort tutorials for each unit, and all cohorts are assigned a designated contact person from a cooperating organisation.

The role of the teacher in cohort tutorials is to ensure that students are achieving the learning objectives and that the cohort is on course with their program roadmap. As the DAP progresses, students are expected to increase their management over the tutorial meetings, including setting the meeting agenda.

(d)

Cooperating organisations

Cooperating organisations must register and be verified with Woolf, provide an initial portfolio of basic information on the company, provide a designated contact person, and agree to the standard 'cooperating organisation framework' –which commits them to attend a minimum number of meetings with a cohort, and they are encouraged to provide students with access to the executive members of their organisation.

Additionally, it is expected that cooperating organisations provide an environment where students can engage with a variety of employees and departments where collaboration and communication are used to complete business tasks.

Students will work with the cooperating organisation on a relevant and specific, real, contemporary business consultancy problem. As such, the organisation should offer support when needed and provide a supervisor what is in direct contact with the student and Woolf faculty members. At the conclusion of the experience, the supervisor will provide a report to Woolf faculty addressing the outcome of the project and if the consultancy problem was resolved.

In cases where relations with a cooperating organisation become untenable for any reason, and the cohort is unable to continue with the relationship, then cohorts will be provided with the choice of (a) continuing their DAP without further input from the cooperating organisation, (b) switching to a new cooperating organisation, or (c) selecting a contemporary business problem on the basis of publicly available information and in agreement with their teacher.

DAP Timeline of Assignments

Each unit of the module normally requires about 75 hours of work from each member of the cohort. Individuals must complete their projects on schedule –neither early nor late –and in response to the requirements of their project; cohorts have the opportunity to adjust the amount of time dedicated to each unit.

The cohort meetings are an opportunity for the instructor to check in on the team's progress; they are a key checkpoint for individual submissions, and they provide milestones in the progress of the DAP. Before every cohort meeting, each student is required to submit a status report on individual and team performance.

At the end of the DAP, every cohort submits a Final Report, Final Presentation, and Final Reflection on their experience.

The Final Report consists of the following components:

1. Title, abstract, and table of contents

2. Industry and competition report

3. Report on the cooperating organisation

4. Report on the business problem

5. Report on the potential solutions analysing their merits and weakness

6. Recommended solution with an implementation plan

7. Full financial model

8. Bibliography

Items 2-7 (which may be adjusted in coordination with the cohort teacher), each have a Directly Responsible Individual (the DRI), who undertakes all the research for the section of the Final Report. Each DRI must elicit feedback and review from other members of the cohort, who must contribute feedback to every other section of the report.

The Final Presentation is typically a slide deck between 20 and 40 slides, and it is a fully collaborative project.

The Final Reflection is a reflective analysis on the DAP experience, and it must contain an individual report from each member and a joint concluding statement.

The course concludes with each member providing a peer review of their cohort peers, including strengths and areas of improvement.

The timeline of the course assignments is set by the cohort at the start, and adjusted in consultation with the teacher as the DAP progresses. The outline of assignment submissions is as follows:

Unit 1

●

Standard cohort charter discussed, revised, and agreed

●

Project timeline with designated areas of responsibility

Unit 2-3

●

Draft title and abstract for the final report

●

Industry information gathering

●

Draft report on the cooperating organisation

●

Draft report on the industry landscape Unit 4-5

●

Problem and opportunity diagnose

●

Creative generation of varied potential solutions

Unit 6

●

Evaluation of potential solutions

●

Preliminary financial models of potential solutions

Unit 7-8

●

Recommended solution

●

Implementation plan

Unit 9-10

●

Final Report

●

Final Presentation

●

Final Reflection and cohort debrief

●

Peer evaluation

The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.

Throughout the module, students will study various tools for generating marketing insights from data in such areas as segmentation, targeting and positioning, satisfaction management, customer lifetime analysis, customer choice, product and price decisions using conjoint analysis, and text analysis, and search analytics.

This module provides students with advanced methods and frameworks for understanding customer needs, and for translating those needs into a program of research and product development that can be used to create a successful new product or service. It equips students with skills to generate new product hypotheses, to research the potential of a new product or entrepreneurial venture, and to adjust the product offering to fit the needs of customers. This module instills the all-important distinction between a ‘bright idea’ and a ‘business opportunity’ in new product creation. Using disciplined methods of customer and market analysis, students will gain advanced abilities in defining the core customers for a new product or entrepreneurial venture. Students will study the complex combination of factors that influence customers to adopt a new product or service. They will gain a comprehensive understanding of what makes entrepreneurial selling unique, and why it is valuable to integrate key aspects of selling and marketing activities in a new venture. Students will learn how to select potential customers through data collection, including customer interviews, and students will learn how to analyse that data to refine a product offering.

Throughout this module, students will learn the basic concepts of needs analysis, investment policy, asset allocation, product selection, portfolio monitoring and rebalancing. Students will assess the various types of institutional investors, including pension funds and insurance companies and develop skills related to the client management life cycle and portfolio management as a process. The module will address the basic concepts, principles, and the major styles of investing in alternative assets. Additionally, students will learn about the impact of digitization on investment strategies and the issues related to performance measurement, transaction costs and liquidity risk, margin requirements, risk management, and portfolio construction. Other topics addressed in the module include quantitative investment strategies used by active traders and methodologies to analyse them. Through the use of case studies, students will learn to use real data to back-test or evaluate several of the most successful trading strategies used by active investment managers. As a result, students will learn to read and analyse academic research articles in search of profitable and implementable trading ideas.

This course guides students from startup idea generation to the successful launch of an AI-powered Minimum Viable Product (MVP). Emphasizing lean startup principles and practical use of no-code tools, students will learn to rapidly prototype, test, and validate business ideas with minimal resources. Through experiential projects and user feedback analysis, participants will develop the skills to build effective MVPs, iterate based on real-world insights, and increase their chances of startup success in a fast-evolving entrepreneurial landscape.

This module provides students with advanced methods and frameworks for understanding customer needs, and for translating those needs into a program of research and product development that can be used to create a successful new product or service. It equips students with skills to generate new product hypotheses, to research the potential of a new product or entrepreneurial venture, and to adjust the product offering to fit the needs of customers. This module instills the all-important distinction between a ‘bright idea’ and a ‘business opportunity’ in new product creation. Using disciplined methods of customer and market analysis, students will gain advanced abilities in defining the core customers for a new product or entrepreneurial venture. Students will study the complex combination of factors that influence customers to adopt a new product or service. They will gain a comprehensive understanding of what makes entrepreneurial selling unique, and why it is valuable to integrate key aspects of selling and marketing activities in a new venture. Students will learn how to select potential customers through data collection, including customer interviews, and students will learn how to analyse that data to refine a product offering.

The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.

Throughout the module, students will study various tools for generating marketing insights from data in such areas as segmentation, targeting and positioning, satisfaction management, customer lifetime analysis, customer choice, product and price decisions using conjoint analysis, and text analysis, and search analytics.

This course provides hands-on experience with real-world AI tools and technologies that are transforming marketing and business practices. Students will learn to automate workflows, personalize marketing campaigns, and harness data for smarter, faster decision-making. Through applied projects and case studies, the course cultivates both technical and strategic skills essential for leveraging AI in today’s competitive landscape. Graduates will be equipped to select, implement, and manage AI solutions that drive efficiency, innovation, and measurable business results.

In this module students will strengthen their capacity to lead individuals, teams, and organisations in processes that generate data-driven solutions to problems, data-driven insights into customer behaviour, and data-driven decision-making.

This module provides the foundations of probability and statistics required for a manager to interpret large quantities of data and to make informed decisions under conditions of uncertainty, with incomplete information, and in both structured and unstructured settings. Theoretical topics include decision trees, hypothesis testing, multiple regression, and sampling.

This course guides students from startup idea generation to the successful launch of an AI-powered Minimum Viable Product (MVP). Emphasizing lean startup principles and practical use of no-code tools, students will learn to rapidly prototype, test, and validate business ideas with minimal resources. Through experiential projects and user feedback analysis, participants will develop the skills to build effective MVPs, iterate based on real-world insights, and increase their chances of startup success in a fast-evolving entrepreneurial landscape.

This course introduces students to the world of Agentic AI, focusing on systems that autonomously plan and execute tasks to achieve defined goals. Through a mix of theory and hands-on activities, students will learn to design and deploy simple AI agents for applications in research, operations, and workflow automation. The module also addresses practical and ethical considerations, equipping participants to critically assess agentic AI solutions and leverage them effectively across diverse contexts.

Throughout this module, students will learn the basic concepts of needs analysis, investment policy, asset allocation, product selection, portfolio monitoring and rebalancing. Students will assess the various types of institutional investors, including pension funds and insurance companies and develop skills related to the client management life cycle and portfolio management as a process. The module will address the basic concepts, principles, and the major styles of investing in alternative assets. Additionally, students will learn about the impact of digitization on investment strategies and the issues related to performance measurement, transaction costs and liquidity risk, margin requirements, risk management, and portfolio construction. Other topics addressed in the module include quantitative investment strategies used by active traders and methodologies to analyse them. Through the use of case studies, students will learn to use real data to back-test or evaluate several of the most successful trading strategies used by active investment managers. As a result, students will learn to read and analyse academic research articles in search of profitable and implementable trading ideas.

The role of marketing management in organisations is to identify and measure the needs and wants of consumers, to determine which targets the business can serve, to decide on the appropriate offerings to serve these markets, and to determine the optimal methods of pricing, promoting, and distributing the firm’s offerings. Successful organisations are those that integrate the objectives and resources of the organisation with the needs and opportunities of the marketplace. The goal of this module is to facilitate student achievement of these goals regardless of career path.

Throughout the module, students will study various tools for generating marketing insights from data in such areas as segmentation, targeting and positioning, satisfaction management, customer lifetime analysis, customer choice, product and price decisions using conjoint analysis, and text analysis, and search analytics.

This course trains students to evaluate startups from a venture capitalist’s perspective, mastering frameworks for assessing traction, team strength, market opportunity, and risk. Through case studies, simulations, and real-world examples, students develop the analytical and practical skills needed to conduct thorough due diligence and make sound investment recommendations. Graduates will be equipped to think like an investor, systematically analyze startups, and contribute to funding decisions in the entrepreneurial ecosystem.

This course equips students with the essential knowledge and skills to become effective angel investors in the global marketplace. Students will master the fundamentals of early-stage investing, develop a personal investment philosophy, and learn to navigate differences in startup ecosystems and regulatory environments across major markets. Through analysis, simulations, and case studies, participants will cultivate the ability to evaluate opportunities, manage risks, and make culturally informed investment decisions in an increasingly interconnected entrepreneurial world.

This course explores the psychological and relational aspects that underpin effective angel investing. Students will develop self-awareness and resilience, master the art of building and leveraging networks in angel communities, and learn to identify and counteract cognitive biases that impact investment decisions. Emphasizing both theory and practical application, the course empowers participants to establish meaningful mentor-investor relationships, foster collaborative environments, and enhance their long-term success in the world of early-stage investing.

This course prepares students to effectively navigate and evaluate startup ecosystems around the world, mastering both traditional and digital deal sourcing techniques. Students will learn how to systematically discover, assess, and select startups for investment across continents, with a focus on understanding and integrating cultural differences into their evaluation processes. Through practical assignments and global case studies, participants will build the skills and mindset needed to operate confidently and effectively in today’s interconnected and diverse startup landscape.