Master's in Business Analytics

• Nova SBE Discovery Week.

1st Semester 

• Mandatory Courses 
• Elective Courses
• Modules in Ethics and Sustainability
• Study Trips 
• Career Development Program - Mastering Your Career Activities
• Mentoring Program 
• Seminars, Networking Events, Business Forum, Conferences 

2nd Semester 

• Mandatory Courses 
• Elective Courses
• Modules in Ethics and Sustainability
• Study Trips 
• Seminars, Networking Events, Business Forum, Conferences 

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

• 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​ for Business Impact
• Data Ecosystems & Governance​ in Organizations​
• Machine Learning​ & Responsible AI
• Digital Experimentation​ & Causal Analysis​ ​

Discover the program's exclusive electives:

• Advanced Programming for Data Science
• Advanced Topics in Machine Learning
• AI Engineering
• Business Analytics Special Project
• Engineering of Data Analysis
• Project Scoping

Explore the program brochure to learn more about all available options.
 

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

Project-Based Learning (PBL) *

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. 

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

Field Labs

Students work in groups studying a company/sector, integrating distinct knowledge areas. Most work is team based, although students must present individual reports on specific developments around the core research program. 

Directed Research Internship 

Individual dissertation carried out in the organization where the student is doing an internship. The student will have an advisor from Nova SBE and a Company tutor. The project must be approved by the Academic Director.

Directed Research* 

Individual dissertation where 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 pursuing their studies.

Mastering Your Career (MYC) is a mandatory Master's graduation requirement, worth 2 ECTS. It offers a valuable opportunity to expand learning beyond the classroom and empowers students to make the most of their journey at Nova School of Business & Economics.

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: 

31.5 ECTS 
in Mandatory Courses  

24.5 ECTS 
in Elective Courses (minimum) 

2 ECTS 
in Mastering Your Career activities 

2 ECTS 
in 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 elective courses (30 ECTS).

To enable students to tailor their learning journey to their career aspirations, the Master’s in Business Analytics offers two distinct Areas of Expertise. 

AI & Data Engineering

Designed for students seeking advanced analytical and technical capabilities, with a focus on artificial intelligence, machine learning, data engineering, and the development of scalable data-driven solutions.

Digital Ventures & Innovation

Geared towards students interested in leveraging data and technology to drive innovation, create new products and services, and lead digital transformation and entrepreneurial initiatives. Together, these two pathways provide complementary perspectives on how data, AI, and technology can create value in organizations and society. 

*Please take note of the following: 
— Students can qualify for only one area of expertise, but it is not mandatory for students to choose one.  
— Areas of Expertise and respective courses might be subject to change from one academic year to the next.  
— Each Area of Expertise has Core courses that you must complete, as well as a list of Elective Courses from which you can choose.  
— You need a total of 21 ECTS to obtain the Area of Expertise mentioned on the final MSc Certificate.  
— Students may attend elective courses from other master’s programs (up to 10.5 ECTS) subject to availability. — You need a total of 21 ECTS to obtain the Area of Expertise mentioned on the final MSc Certificate.  
— Some courses might not be offered every academic year.