AI-driven Bookkeeping and Year-end Closing.

Description of the programme content: After completing the programme, the student should have knowledge of: 1. How tax rules, including VAT and employer contributions, are applied correctly in year-end closing work and how they affect the final accounts. 2. The importance of internal control and methods for ensuring correct accounting and preventing errors in the closing process. 3. Describing the accounting of financial instruments: explaining how financial instruments such as shares, bonds and derivatives are to be reported in the year-end accounts and annual report according to applicable accounting principles and regulations. 4. The structure of the annual report and the requirements for the directors' report, notes and other disclosures according to applicable regulations and accounting principles. 5. Accrual techniques to ensure that costs and revenues are reported correctly in the right period, including the handling of prepaid and accrued expenses. 6. Applying key ratios such as liquidity, profitability and solvency for financial management and analysing their application in year-end closing work. 7. Principles and methods for consolidating group accounts, including the elimination of intra-group transactions and the correct handling of minority interests. 8. Using automated accounting systems to streamline and improve the closing process, and using AI tools to simplify bookkeeping and reconciliations. 9. How external auditors review and verify year-end accounts and annual reports to ensure that they comply with applicable rules and standards. After completing the programme, the student should have the skills to: 1. Carry out advanced bookkeeping techniques and year-end closing work according to applicable regulations, including K2 and K3. 2. Value assets and handle complex business transactions in accordance with relevant legislation and accounting principles. 3. Use Excel and other financial tools to effectively carry out and document tasks in the closing process. 4. Reconcile balance sheet and income statement items, and troubleshoot and document results correctly and efficiently. 5. Carry out internal accounting, budgeting, cost analyses and financial reporting for internal use and decision-making. 6. Analyse financial data and apply solutions to financial problems in order to optimise the organisation's financial results. 7. Use AI tools to automate and streamline accounting and bookkeeping, and improve workflows. 8. Follow ethical and legal guidelines, including GDPR, for the use of AI and the handling of sensitive customer data in financial processes. After completing the programme, the student should have the competence to: 1. Independently carry out advanced bookkeeping techniques and year-end closing work according to applicable regulations, including K2 and K3. 2. Responsibly handle the valuation of assets and complex business transactions in accordance with relevant legislation and accounting principles. 3. Use Excel and other financial tools to effectively carry out and document tasks in the closing process. 4. Independently reconcile balance sheet and income statement items, and troubleshoot and document results correctly. 5. Responsibly carry out internal accounting, budgeting, cost analyses and financial reporting for internal use. 6. Analyse financial data and apply solutions to financial problems in order to optimise results. 7. Use AI tools to automate and streamline accounting and bookkeeping, and improve workflows. 8. Independently follow ethical and legal guidelines, including GDPR, for the use of AI and the handling of sensitive customer data in financial processes. Description of the goals the student has achieved: AI and analytical skills in finance, 15 YH credits In the course, the student learns to analyse data and use financial reports to make well-founded decisions. The student learns how AI tools can streamline bookkeeping and analysis. After completing the course, the student should, in their professional role, be able to handle sensitive customer data based on ethical guidelines and the impact on financial processes.