Master's Studies with CodeAcademy benefits

Master in AI for Business and Data Science

The programme is designed for data analysts, software professionals and business professionals looking to deepen their knowledge of machine learning, artificial intelligence, Big Data and advanced analytics. It develops the ability to turn data into insights and solutions that create value for organisations. The programme combines technical expertise with business management. Students learn to collect, prepare, analyse and visualise data; build predictive models; evaluate the reliability of their results; and integrate AI solutions into organisational processes and strategy.

Our operating model is based on international partnership. Students enrol at an overseas higher education institution in accordance with its admission requirements and procedures. The master’s programme, delivered in English, is taught and the qualification awarded by the higher education institution. In this model, CodeAcademy acts as a separate non-formal education partner in Lithuania. It offers an individual Executive Track programme, including practical activities, career mentoring, community events and access to additional technology courses valued at €36,000. The Executive Track is not part of the university degree programme. It is an independent CodeAcademy programme that complements academic study with in-demand skills and additional support. ENAE Business School’s master’s programmes are delivered in partnership with the University of Murcia. The master’s qualification is awarded exclusively by the higher education institution, in accordance with its own procedures. The issuing of the diploma is the responsibility of the higher education institution and is not connected to CodeAcademy. Upon completion, graduates receive a dual diploma: an ENAE Business School diploma and a University of Murcia diploma.

ENAE Business School is an international business school in Spain focused on contemporary, global and practice-based business education. Its goal is to prepare professionals and leaders who can not only understand business theory but also apply it in real organisations, international markets and a constantly changing economic environment. ENAE’s teaching philosophy is based on innovation, current business practices and close connections between students, lecturers and companies. Strong emphasis is placed on entrepreneurship, strategic thinking, responsible leadership, sustainable growth and practical management skills. The school creates an international learning environment where different cultures, professional experiences and business perspectives come together. ENAE’s values of responsibility, entrepreneurship, academic quality and inclusion help shape professionals ready to succeed in the global business environment.

Apply

Duration:

2 November 2026

Time:

At your own pace

Language:

English

Type:

Master’s studies

Price from:

199 € / month

Credits:

60 ECTS

Tools and languages

Excel

Power BI

Google Sheets

Trello

Asana

Tableu

Why choose Master in AI for Business and Data Science?

Artificial intelligence linked to business value. The programme teaches students to apply AI and data science to strategic decision-making, operational efficiency, process optimisation and the creation of new business opportunities.
A broad technology foundation. The curriculum covers the fundamentals of Python and SQL, data analysis and visualisation, machine learning, deep learning, Big Data, generative AI and business analytics systems.
Highly applicable in practice. The programme focuses on real-world cases, practical tools, a business plan, an internship and a final project that can be applied to an existing company or used to develop a new business venture.
Flexible study format. Students can study 100% online, offering greater flexibility for working professionals and international students compared with programmes available only in a traditional on-campus format.
Career opportunities. ENAE offers career guidance, access to a job-opportunities database, networking events and meetings with companies. Each year, students receive around 1,000 job and internship opportunities, and 92% begin working before completing their master’s degree.
International, experienced lecturers. The programme is taught by professionals with experience in risk management, insurance, finance, strategy, consulting and international business. This gives the programme a strong practical and business-oriented perspective, allowing students to learn from people who have worked in high-level organisations.

Programme

1 theme

Academic year 60 ECTS credits

Foundations of Data Science
Understanding the data analysis process, statistical thinking and key methods for extracting business-relevant insights from data.
Python Fundamentals
Programming fundamentals, data structures and the practical use of Python for processing and analysing data and building models.
Data Analysis and Visualisation
Exploring data, assessing data quality, interpreting results and presenting insights clearly through charts, reports and dashboards.
SQL and Data Management
The logic of relational databases, query development, data preparation and building a reliable information foundation for analytics.
Machine Learning
Supervised and unsupervised learning models, forecasting, classification, segmentation and model evaluation for solving real-world business problems.
Deep Learning
The principles of neural networks and deep learning for analysing complex, large-scale or unstructured data.
Business Analytics and Intelligence Systems Lab
Practical business intelligence, KPIs, dashboards and the use of analytics systems for data-driven organisational management.
Big Data and Cloud Tools
The principles of processing large datasets and using modern analytics, cloud and model-development platforms.
Artificial Intelligence and Organisations
Assessing AI’s impact on business models, work processes, customer experience and organisational change.
Generative AI and OpenAI
The potential of generative AI solutions, their practical use and evaluation for content creation, task automation and organisational process transformation.
Data Science and AI for Decision-Making
Turning the results of analytical and predictive models into clear recommendations for leaders and business functions.
AI Strategy for Business and the Future of AI
Evaluating the priorities, value, investment, organisational capabilities and long-term impact of artificial intelligence initiatives.
NLP and Intelligent Automation
Analysing text, documents and conversational data; chatbots, semantic classification and process automation.
Data Ethics, Privacy and Security
Responsible use of data and AI, including bias, explainability, privacy, compliance and information security.
Master’s Final Project and Business Plan
A project based on a real business case or a new idea, developed with guidance from a lecturer or expert and defended according to set criteria.

Lecturers

The Master’s programme is taught by an international team of lecturers and professors with both academic and practical experience in business, technology, innovation and management. As the lecturers work in different countries around the world, students gain insight into diverse business practices, emerging technology trends and the principles of the global market. The programme places strong emphasis not only on theory, but also on real-world situations, practical examples and current industry insights.

Aliño Valiente, Ricardo

De Felipe Pérez, Mario