The Master’s Programme in Artificial Intelligence for Accounting and Finance aims to equip students with advanced knowledge, analytical capabilities, and practical skills for applying artificial intelligence, applied machine learning techniques, financial data modelling, and methods and techniques in corporate finance, financial statement analysis and valuation and financial decision-making. The Programme integrates accounting, finance, data modelling, machine learning, and governance to prepare students to operate effectively in a rapidly evolving digital and global business environment.
Students develop a deep understanding of how AI and data-driven technologies transform financial analysis, accounting processes, reporting practices, and regulatory compliance. The Programme emphasizes responsible AI, ethical data use, sustainability reporting, and transparent algorithmic decision-making. Graduates will be prepared to work in finance, accounting, assurance, data analytics, and digital transformation roles where AI competence is increasingly essential.
Through a combination of theoretical foundations, hands-on data applications, and problem-based learning, the Programme enhances students’ critical thinking, analytical problem-solving, and leadership skills relevant for modern financial professions and AI-enabled business environments.
"},"osaamistavoitteet":{"en":"The Master’s Programme in Artificial Intelligence for Accounting and Finance develops both theoretical understanding and practical competencies that prepare students for demanding analytical, advisory, management, and technological roles in business and public sector organizations. The Programme also reflects the growing internationalization and digitalization of finance and accounting by integrating global standards, technological innovation, and professional practice.
Upon completion of the Programme, graduates will develop the following learning outcomes:
Knowledge of the field of study
Academic and analytical skills
Technical and digital skills
Communication skills
Interpersonal skills
Sustainability, ethics, and responsible AI
The University of Vaasa provides scholarships for international students who are required to pay tuition fees. Prospective students can apply for a scholarship in the same application as for the admission to the programme. Find out about the scholarships on our website.
"}},"maksullisuusKuvaus":{"en":"Non-EU/EEA students are charged tuition fees.
The fees do not concern students who:
Master´s Programme in Artificial Intelligence for Accounting and Finance 120 ECTS
1. Compulsory courses in Finance (16 ECTS)
2. Compulsory courses in Accounting (22 ECTS)
3. Compulsory courses in Artificial Intelligence (23 ECTS)
4. Master´s Thesis (30 ECTS)
5. Optional Studies (19-24 ECTS)
6. Communication and Language Studies (5-10 ECTS)
In total 120 ECTS
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_11#1","nimi":{"fi":"Opinnäytetyö","sv":"Lärdomsprov","en":"Thesis"}},"teksti":{"en":"For the master’s thesis, students are expected to conduct academic research on a subject related to the programme. The thesis process includes a literature review, empirical data collection, and analysis of the data leading to conclusions including theoretical and managerial implications and future research proposals. The master’s thesis process supports the development of independent research work, analytical and critical thinking skills, and self-management skills.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_06#1","nimi":{"fi":"Kansainvälistyminen","sv":"Internationell verksamhet","en":"Internationalisation"}},"teksti":{"en":"The University of Vaasa is an internationally competitive university with a high-level expertise in business, technology, management and communications. The University is among the top 500 universities in the world in the Times Higher Education (THE) rankings. In the field of Business Studies, University of Vaasa has received AACSB accreditation and it ranks among the top 251-300 best universities. Our international Master’s Programmes are internationally accredited.
The University invests in a student-centered teaching firmly based on latest cutting-edge research. Our international learning environment includes modern teaching and learning technology as well as easily accessible and inclusive campus. Our students, teachers and staff come from all over the world. With our 230 partner universities, we offer excellent opportunities for a study period abroad.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_02#1","nimi":{"fi":"Jatko-opintomahdollisuudet","sv":"Möjlighet till fortsatta studier","en":"Further study opportunities"}},"teksti":{"en":"Accounting, and Finance. The knowledge and skills acquired provide a strong foundation for scientific research as well as postgraduate studies, including doctoral programmes in AI, finance, and related disciplines.
Graduates can further specialise in areas such as financial data science, machine learning for financial forecasting, intelligent business systems, algorithmic decision-making, fraud detection, and financial automation. The Master’s Programme in Artificial Intelligence for Accounting and Finance represents an important step toward developing a successful career as an AI-driven financial analyst, digital accountant, data scientist, or financial technology expert in both domestic and international environments.
"}}],"maksut":[{"maksullisuustyyppi":"lukuvuosimaksu","maksunMaara":14000.0}],"suunniteltuKestoKuukaudet":0,"opetustapaKuvaus":{},"opetuskieletKuvaus":{},"opetustapa":[{"koodiUri":"opetuspaikkakk_1#1","nimi":{"fi":"Lähiopetus","sv":"Närundervisning","en":"Contact teaching"}},{"koodiUri":"opetuspaikkakk_5#1","nimi":{"fi":"Itsenäinen opiskelu","sv":"Självständiga studier","en":"Independent learning"}}],"opetusaikaKuvaus":{},"opetuskieli":[{"koodiUri":"oppilaitoksenopetuskieli_4#2","nimi":{"fi":"englanti","sv":"engelska","en":"English"}}],"opetusaika":[{"koodiUri":"opetusaikakk_1#1","nimi":{"fi":"Päiväopetus","sv":"Dagundervisning","en":"Day time teaching"}}]},"yhteyshenkilot":[],"tyyppi":"yo"},"formatoituModified":{"fi":"17.6.2026 klo 14:58","sv":"17.6.2026 kl. 14:58","en":"Jun. 17, 2026 at 02:58 PM UTC+3"},"koulutustyyppi":"yo"}