Master's in Business Analytics

• Nova SBE Discovery Week.

1st Semester (30 ECTS) 

• Mandatory Courses 
• Electives 
• Skills Accelerator Modules 
• Study Trips 
• Career Development Program - Mastering Your Career (MYC) 
• Mentoring Program 
• Regular Seminars, Networking Events, Business Forum, Conferences 

2nd Semester (30 ECTS) 

• Mandatory Courses 
• Electives 
• Skills Accelerator Modules 
• Study Trips 
• Regular Seminars, Networking Events, Business Forum, Conferences 

• Work Project 
• Regular Seminars, Networking Events, Business Forum, Conferences 

In addition to the regular program, international programs such as the CEMS MIM or Exchange may require an additional semester. 

* Please note that for the academic year of 2025/26 this information may be subject to changes.

• Introduction to Python​ for Data Analysis​ 
• Research Methods for Business Analytics​ 
• Digital Strategy and Markets​ 
• Data Curation for Business Analytics
• Data Visualization for Business Analytics ​ 
• Optimization​ 
• Data Ecosystems & Governance​ in Organizations​ 
• Machine Learning​ 
• Digital Experimentation​ & Causal Analysis​ 
  ​

* Please note that for the academic year of 2024/2025 this information may be subject to changes. 

• Advanced Programming for Data Science  
• Advanced Topics in Machine Learning 
• AI Impact on Business  
• Algorithmic Governance  
• Applied Entrepreneurship  
• Asset Management  
• Big Data Analysis  
• Blockchain Fundamentals  
• Business Analytics Special Project  
• Business Model Innovation  
• Circular Economy:  Eliminate, Circulate and Regenerate  
• Competition Policy  
• Competitive Strategy: An Analytical Approach  
• Corporate Strategy and Transformation  
• Cracking the Sales Code  
• Customer Relationship Management  
• Cybersecurity in Organizations 
• Derivatives  
• Design and Construction of Data-Centric Apps   
• Design Thinking for Social Innovation  
• Digital Marketing  
• Economics of Education 
• Economics of Health and Health Care  
• Energy and Climate Change  
• Engineering of Data Analysis 
• Entrepreneurial Finance & Venture Capital  
• Entrepreneurial Strategy  
• Fintech Ventures  
• Game Theory  
• Innovation Management  
• Marketing Analytics  
• Network Analytics  
• Open Innovation  
• Operations Management  
• Operations Strategy 
• Product Design and Development  
• Project Scoping  
• Quality Management  
• Science-Based Entrepreneurship and Innovation  
• Strategic Foresight and Scenario Planning  
• Sustainable Operations  
• Technology Strategy  
• Web and Cloud Computing  

* Please note that for the academic year of 2025/26 this information may be subject to changes. 

The Data Science PBL is an exclusive and unique opportunity for the Master’s in Business Analytics students. Students will be part of an interdisciplinary team and assigned to a specific real-world data challenge, in which the team will work throughout the course of their master’s program. After this period, they will be invited to present in their master thesis their main findings and methodology used. 

Advantages for students 

• Get 10-18 months of work experience with a data-driven organization; 
• Improve your skills with a real-world data challenge; 
• Learn with your peers and Data Science professionals; 
• Understand how to use data to solve some of the world’s pressing challenges; 
• Improve your chances to get hired and connect with business professionals. 
   

How does it work 

• Each project will be fully developed by a team of 3-5 Master's students from diverse backgrounds, for approximately 10 months; 
• Each team will be supported by a Data Science Mentor, a senior professional with a strong technical background that will uphold the team’s major decisions; 
• Each team will also be supported by a Business & Management Mentor (BMM), a senior professional with strong experience managing technical projects. The BMM will contribute to the team’s understanding of the partner’s needs, facilitate interactions between all the parties and make sure the project is performed according to the timeline; 
• Data Science Projects will be developed together with a Project Partner (Company/NGO/Government Agency), that will share a data challenge to be scoped and developed by the team. 

Examples of Potential Data Challenges 

• Predicting the new mobility patterns in the post-Covid19 period (Mobility) 
• Understanding tourism trends in Senegal through exploratory and segmentation analysis (Tourism) 
• Creating a Product to Segment Donors and Predict Donor Churn for the Non-Profit Sector (Non-profit) 
• Improving the classification of Multiple Sclerosis scientific papers (Health) 
• Developing a skill-based recommender system (Employment) 
• Predicting the optimal volume of customers to flag for the specialized Call Center Team (Telcom) 
• Decoding legislation for citizens: proof of concept of the “Retirement Law” use case (Legislation) 
• Defining a Sustainability Customer ID for Commercial Banking (Banking) 
• Predicting demand of luxury fashion businesses (Luxury) 
• Optimizing food production for a social take-away (Non-profit) 
• Improving clinical screening for the neurology outpatient clinic (Health) 
• Merchant Identification and Characterization (Payment processing) 
   

* Available Data Challenges for each cohort will be shared with Students at the beginning of the program. 

The Skills Accelerator is composed of 4 areas and students must complete 1 module in each area, according to their Master’s program. 

Digital 
Technology for business: concepts, tools, and software. 

Ethics 
The concept of ethics and its importance in life (personal and professional). Exposure to ethical challenges and practical discussions on how to address them 

Market Links 
Activities career and job market related. Organized by Careers office, student clubs, or faculty. Depending on the module selected, corporate partners and other companies are invited to participate. Competencies you might acquire and/or accelerate: self-awareness, collaboration, teamwork effectiveness, critical thinking and problem-solving, job market knowledge, Alumni networking 

Leadership 
Leadership concepts and tips: self-leadership and leading others. 

* Please note that for the academic year of 2024/2025 this information may be subject to changes.

As part of the degree requirement, students must carry out a work project (thesis) in their final semester. There are three formats available: 

Field Lab 
Students focus on a specific theme or topic of more applied nature to propose solutions to solve an existing local real-world problem in a specific setting (group setting). 

Directed Research Internship 
Students carry out a problem-based issue to help address an identifiable problem in a company setting relevant to the course of study. 

Directed Research* 
Students showcase their knowledge and expertise by investigating a research problem of scientific nature in a relevant area of interest. 

* This format is generally reserved for those intending on further pursuing their studies. 

Grading is based upon the European Credit Transfer System (ECTS), a grading scale developed to better understand and compare grades given, according to different national systems.  

We did the math for you and the awarding of ECTS grades breaks down as follows: 

33.5 ECTS 
in Mandatory Courses including the Mastering Your Career (MYC) Activities 
(Bridging courses not included) 

24.5 ECTS 
in Elective Courses (minimum) 

2 ECTS 
in Skills Accelerator Modules 

30 ECTS 
in the Work Project 

90 ECTS in total do graduate 
You need a minimum of 90 ECTS to complete your Master’s, but if you need 120 ECTS to proceed with your studies, you can extend your Master’s by one semester with courses (28 ECTS) and modules (2 ECTS).