Financial Analysis with AI

AI-powered financial analysis

Overview

This micro-credential offers practical tools for business financial management, focused on small business owners and professionals without prior training in the field. It allows users to interpret financial information, assess risks, and make more informed strategic decisions, leveraging artificial intelligence tools that facilitate calculations, analysis, and report generation without requiring technical expertise, thus optimizing time and improving the effectiveness of decision-making.

Goals

  • Understand the basic concepts of finance, so that you can apply them in your business, work or daily life.
  • Learn to interpret financial statements and evaluate projects or investments
  • Understanding how financial decisions are made. AI makes it possible to identify trends and patterns and make predictions about income, expenses, or cash flow, helping to make more informed decisions.
  • Understanding how financial decisions are made. AI makes it possible to identify trends and patterns and make predictions about income, expenses, or cash flow, helping to make more informed decisions.

Entry requirements (prior qualification if required)

Students must be between 25 and 64 years old on the date the training begins.

A university degree will not be required to access this micro-credential, but applicants must meet the requirements for university admission (University Entrance Exam, Higher Vocational Training Technician, Higher Technician in Plastic Arts and Design, or Higher Sports Technician qualification belonging to the Spanish Education System, or equivalent qualifications, diplomas, or studies, as well as holding the European Baccalaureate or the International Baccalaureate Diploma).
There is no entrance exam, nor are the qualifications listed above required; applicants must demonstrate prior work experience in fields related to the training. Those with prior accounting knowledge will find it easier to follow the training; however, anyone interested can enroll.

Academic program

Contents

  • Introduction to corporate finance
    • What are finances and why are they important?
    • Objectives of financial analysis
    • Key concepts and basic terminology
    • Benefits of integrating AI into Financial Analysis
  • Reading and interpreting financial statements
    • Balance sheet: assets, liabilities and equity
    • Income statement: revenue, costs and profit
    • Statement of cash flows
    • Use of AI to improve the interpretation of financial statements
  • Key financial ratios and metrics
    • Liquidity ratios
    • Solvency and debt ratios
    • Profitability ratios
    • Efficiency and management ratios
    • Use of AI for metrics automation
  • Assessment of a company's financial health
    • Interpretation of results
    • Key indicators for decision making
    • Use of AI for anomaly and trend detection
  • Budgets and projections
    • Key variables in projections
    • Use of AI in projections and trends
  • Introduction to financial risk management
    • Identification of financial risks
    • Basic strategies for mitigating risks using AI
  • Communication of financial results
    • How to present clear and understandable financial reports
    • AI-powered automated reports
  • Case studies and exercises
    • Analysis of real or simulated financial statements
    • Exercises to apply the concepts learned

Methodology and activities

Regarding the way to organize the teaching to achieve the objectives set out in the micro-credential, the organizational modality summarized below will be followed:

  • Lectures/expository method: presentation or explanation by the teaching staff.
  • Practical classes: activities supervised by the teaching staff in the computer lab.
  • Seminars: completing exercises, solving problems or practical cases, others.
  • Individual work: individual preparation of assignments/projects/reports, portfolio, …
  • Assessment: written tests, oral tests, practical tests, …
  • Tutoring: instruction period in which teachers and students interact with the aim of reviewing and discussing materials and topics presented in class.
  • Active methodologies: cooperative learning, project-based learning, flipped classroom, service learning, game-based learning, case studies, problem solving… These are aimed at making learning a participatory process and are based on student agency.

Evaluation criteria

The microcredential will have an evaluation system (ES) based on the following evaluation tests:

  • Case studies, exercises and problems: tests in which students must solve, in a reasoned manner, within a certain time, and according to the established criteria, the cases, exercises or problems posed by the teaching staff, with the aim of applying the knowledge acquired.
  • Written works, memoirs, internship reports, and projects: a document prepared on a topic or activity carried out, following the instructions established by the teaching staff.

General information

Credits: 3 ECTS

Duration: 07/04/2026-23/04/2026

Teaching modality: Blended learning

Location: Computer lab of the General Foundation of the ULL

Registration fee: €65.25

Valued at: €217

Registration
More info and registration help

The cost of tuition for this Microcredential will be subsidized by the 'Plan for the development of university microcredentials', investment 6 of component 21 of the Addendum to the 'Recovery, Transformation and Resilience Plan', financed by the European Union – Next Generation EU, year 2025.

Flexibility

Short courses available in various formats (in-person, online, or hybrid). Ideal for learning without interrupting your professional life.

Employability

Content created and delivered by professionals and experts in the field, designed for immediate application.

Certification

Endorsed by the University of La Laguna. You will receive an official ECTS certificate, valid in the European Higher Education Area.

Teaching staff

José Ignacio González Gómez

Full Professor at the University of La Laguna (ULL), Department of Economics, Accounting and Finance. Lecturer and researcher with extensive experience in costs and dashboards.

Ana L. González Pérez

Professor of Financial Economics and Accounting at the University of La Laguna (ULL). Lecturer in financial analysis, with extensive experience in training professionals.

Alicia Correa Rodríguez

Full Professor of Financial Economics and Accounting at the ULL. Corporate finance lecturer with extensive experience in practical courses for professionals.

Mariano Cejas Rodríguez

Substitute Professor in the Department of Financial Economics and Accounting at the University of La Laguna (ULL). Head of the Administrative Support Section of the Island Council of Tenerife.

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