Students complete 90 ECTS across two taught semesters and a final dissertation. Because the programme includes two elective choice points, the curriculum directory below lists all 26 module specifications available within the joint MSc.
Two taught semesters on a 13-week rhythm, then a final dissertation term — delivered in hybrid mode with live on-campus teaching and live-streamed access.
Four mandatory modules plus one elective — computing, reporting, analytics, and financial management.
Four mandatory modules plus one elective — taxation, auditing, performance, analysis and strategic specialisation.
A supervised dissertation — an independent research project culminating in formal final submission.
Each taught semester runs on a 13-week basis — live on-campus teaching combined with live-streamed access.
Students complete four mandatory modules and choose one of two electives. The first semester establishes the programme's common language in data science, financial reporting, analytics, and financial management.
This module provides the computational framework and algorithmic techniques necessary to implement data-driven solutions in accounting, auditing, and financial management. The module focuses on the application of methods transitioning from…
This module provides the foundation of financial and non-financial reporting. It provides students with the knowledge and skills necessary to prepare, interpret, and critically evaluate corporate reports in both financial…
The aim of the course is to understand and apply modern data analysis methods to support business decisions. After successful completion of the course, students will be able to apply…
This module provides a data-driven foundation in financial management, equipping students with the analytical tools necessary to address core corporate finance decisions within modern firms. Principal topics include investment appraisal,…
This module provides an introduction to the principles and practice of financial accounting, equipping students with the conceptual foundation and technical competence necessary to prepare, analyse, and interpret financial statements…
This module provides the necessary quantitative tools that students need to analyse data in accounting, auditing and financial management. The module first revisits core statistical methods, before progressing into regression…
The spring semester deepens professional specialisation. Four mandatory modules and one elective, balancing theory with applied analytical work.
This module provides a systematic and applied introduction to the principles and practice of taxation, according to the International Financial Reporting Standards (IAS 12 Income Taxes) equipping students with the…
This module provides a comprehensive and applied introduction to the theory and practice of auditing and internal control. The module aims to develop the skills necessary to understand, evaluate, and…
This module provides an analytical description of theory and practice of management accounting, equipping students with the analytical tools and decision-making frameworks necessary to support planning, control, and performance evaluation…
This module develops theory and practice of financial analysis, equipping students with the conceptual frameworks and quantitative tools necessary to evaluate firm performance, financial health, and investment potential through the…
This module provides a rigorous and data-driven oriented treatment of empirical corporate finance, bridging the theoretical frameworks of corporate finance with the quantitative methods and empirical evidence used to test…
This module provides a technically rigorous treatment of advanced topics in financial accounting, with a particular focus on consolidated financial statements and the complex accounting issues that arise in the…
The final semester is devoted to the dissertation. Students work under academic supervision to design, execute, and present an independent data-intensive research project.
During the third semester, students are required to either undertake a research project on a topic of their choice or deliver an industrial dissertation — provided that certain conditions are met. The project is submitted under continuous academic supervision.
The dissertation follows a structured pathway — from topic selection through to formal submission — with ongoing supervisor feedback at each stage.
Choose a research topic with clarity, feasibility, relevance and originality, in consultation with an academic supervisor.
Formulate the research question, prepare the proposal, and identify the data, methods and analytical tools required.
Conduct the empirical or analytical work, draft the dissertation, and revise it under continuous supervisory feedback.
Meet the formatting, referencing, methodological and ethical requirements set out in the Dissertation Writing Guide.
The curriculum combines accounting, auditing, finance, data science, and research design rather than treating them as disconnected specialisms.
Programming, analytics, statistical learning and computational thinking — embedded from the first semester onward.
Fluency in financial and non-financial reporting, IFRS-based interpretation and critical evaluation of disclosure quality.
Auditing, internal control, taxation and performance measurement — professional competence in assurance and governance.
Financial management, analysis and strategy — connecting analytical methods to real managerial and market decisions.
The dissertation develops methodological rigour, originality and reproducible analytical practice under academic supervision.
Two taught semesters at 30 ECTS each and a 30-ECTS dissertation — the Bologna-standard weight for a professionally-oriented MSc.
Every module is mapped to one or more career destinations. Read the full career outcomes, or start your application for the next cohort.
