Master's in Business Analytics

Education objectives

The Master’s in Business Analytics aims at the development of solid technical, organizational, leadership, critical thinking and communication competencies for future managers and leaders of organizations (public or private, for-profit or not-for-profit) in a context increasingly dependent on algorithms and hybrid (human-machine) systems for decision making. It is therefore focused on the education of translators, i.e., people who understand organizations and the managerial problems they face and know how to use technology and leverage data to solve them.

information available >> https://www.novasbe.unl.pt/en/programs/masters/business-analytics/overview


General characterization

DGES code

MB04

Cicle

Master (2nd Cycle)

Degree

Master

Access to other programs

Allows access to other cycles of education 

information available >> https://www.novasbe.unl.pt/en/programs/phds   

Coordinator

Professora Doutora Patrícia Ramos

Opening date

setembro 2025

Vacancies

210

Fees

12.149€ information available >>https://www.novasbe.unl.pt/en/programs/masters/business-analytics/fees


Schedule

Full-time, on-campus

Teaching language

English

Degree pre-requisites

 With a collaboration with the Department of Computer Science of Nova School of Science and Technology, the program (*) brings together the technical and personal competencies of management with technology.

This multidisciplinary is key to attract applicant profiles with a first cycle educational background in sciences, technology, engineering or mathematics, but also economics, finance or management.

(* For the MSc graduation, students must complete the degree academic requirements and the necessary number of ECTS, according to the course’s list offered in the academic year. The list of courses offered is subject to change.) 

information available >> https://www.novasbe.unl.pt/en/programs/masters/business-analytics/program


Conditions of admittance

Eligible candidates must hold a bachelor's degree, provide proof of B2-level English language proficiency, possess up to 2 years of professional experience, and be under 26 years of age. 

information available >> https://www.novasbe.unl.pt/en/programs/apply/masters/admission


Evaluation rules

Throughout the master's program, and depending on the courses, students are evaluated through various methods such as exams, assignments, projects, presentations, and participation on class discussions.   

information available >> https://www.novasbe.unl.pt/en/programs/masters/business-analytics/program

Structure

Fall
Code Name ECTS
2174 Macroeconomic Analysis 7.0
2421 Applied Entrepreneurship 7.0
2784 Curricular Internship - Semestral 7.0
2582 Competitive Strategy: An Analytical Approach 7.0
2484 Corporate Strategy and Transformation 7.0
Spring
Code Name ECTS
2220 Entrepreneurial Finance & Venture Capital 7.0
2638 Design Thinking for Social Innovation 7.0
2421 Applied Entrepreneurship 7.0
2784 Curricular Internship - Semestral 7.0
2484 Corporate Strategy and Transformation 7.0
Fall 1st Half
Code Name ECTS
2218 Derivatives 3.5
2481 Product Design and Development 3.5
2688 Curricular Internship - Trimestral 3.5
2639 Entrepreneurial Strategy 3.5
2468 Technology Strategy 3.5
2762 Digital Strategy and Markets 3.5
2352 Quality Management 3.5
2389 Customer Relationship Management 3.5
2783 Corporate Financial Risk Management 3.5
2766 Introduction to Python for Data Analysis 3.5
2771 Research Methods for Business Analytics 3.5
2128 Política da Concorrência 3.5
2496 Strategic Foresight and Scenario Planning 3.5
Fall 2nd Half
Code Name ECTS
2440 Big Data Analysis 3.5
2493 Marketing Analytics 3.5
2778 Cybersecurity in Organizations 3.5
2659 Data Curation for Business Analytics 3.5
2218 Derivatives 3.5
2588 Science-Based Entrepreneurship and Innovation 3.5
2649 Energy and Climate Change 3.5
2688 Curricular Internship - Trimestral 3.5
2468 Technology Strategy 3.5
2622 Blockchain Fundamentals 3.5
2793 Supply Chain Management 3.5
2359 Operations Management 3.5
2785 Product Management in Technology 3.5
2621 Algorithmic Governance  3.5
2448 Business Model Innovation 3.5
2441 Digital Marketing 3.5
2773 Optimization 3.5
2185 Game Theory 3.5
2609 Data Visualization for Business Analytics 3.5
Spring 1st Half
Code Name ECTS
2493 Marketing Analytics 3.5
2767 Machine Learning 3.5
2616 Cracking the Sales Code 3.5
2218 Derivatives 3.5
2481 Product Design and Development 3.5
2371 CIRCULAR ECONOMY: Eliminate, Circulate and Regenerate 3.5
2134 Economics of Education 3.5
2135 Economics of Health and Health Care 3.5
2606 Data Ecosystems and Governance in Organizations 3.5
2273 Fintech Ventures 3.5
2688 Curricular Internship - Trimestral 3.5
2761 Digital Experimentation & Causal Analysis 3.5
2622 Blockchain Fundamentals 3.5
2352 Quality Management 3.5
2214 Asset Management 3.5
2389 Customer Relationship Management 3.5
2465 Open Innovation 3.5
2448 Business Model Innovation 3.5
2196 International Migration 3.5
2635 Organizing for Good in the digital age 3.5
2496 Strategic Foresight and Scenario Planning 3.5
Spring 2nd Half
Code Name ECTS
2623 Network Analytics 3.5
2778 Cybersecurity in Organizations 3.5
2218 Derivatives 3.5
2791 Advanced Product Design 3.5
2134 Economics of Education 3.5
2961 Economics of Immigration 3.5
2588 Science-Based Entrepreneurship and Innovation 3.5
2688 Curricular Internship - Trimestral 3.5
2397 Innovation Management 3.5
2359 Operations Management 3.5
2465 Open Innovation 3.5
2448 Business Model Innovation 3.5
2441 Digital Marketing 3.5
2716 Regenerative Business 3.5
2663 AI Impact on Business 3.5
2644 Sustainable Operations 3.5
2635 Organizing for Good in the digital age 3.5
2185 Game Theory 3.5
Code Name ECTS
2135 Economics of Health and Health Care 3.5