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
Professor Doutor Rodrigo Belo
Opening date
A disponibilizar brevemente
Vacancies
210
Fees
11.900 Euros
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.
The masters (*) have a minimum of 3 semesters of instruction, including a curriculum part and the work project.
For obtaining the mater's degree is required to
complete a minimum of 90 ECTS, being the maximum of 120 ECTS, which decompose
in:
a) curriculum approval: minimum of 60 ECTS course
approval;
b) work project approval: 30 ECTS.
(*) For the 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, have a solid quantitative background (i.e. economics, mathematics, statistics, physics, etc.), and have exceptional analytical skills.
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 |
2597 | Advanced Data Analysis | 3.5 |
2582 | Competitive Strategy: an analytical approach | 7 |
2484 | Corporate Strategy and Transformation | 7 |
2578 | Mastering Your Career | 2 |
2421 | Applied Entrepreneurship | 7 |
Spring | ||
---|---|---|
Code | Name | ECTS |
2610 | Business Analytics Special Project | 7 |
2220 | Entrepreneurial Finance & Venture Capital | 7 |
2484 | Corporate Strategy and Transformation | 7 |
2280 | Data Analytics for Finance | 7 |
2638 | Design Thinking for Social Innovation | 7 |
2578 | Mastering Your Career | 2 |
2421 | Applied Entrepreneurship | 7 |
2487 | Machine Learning | 7 |
Fall 1st Half | ||
---|---|---|
Code | Name | ECTS |
2621 | Algorithmic governance | 3.5 |
2389 | Machine Learning | 7 |
2659 | Data Curation for Business Analytics | 3.5 |
2481 | Product Design and Development | 3.5 |
2606 | Data Ecosystems and Governance in Organizations | 3.5 |
2639 | Entrepreneurial Strategy | 3.5 |
2352 | Quality Management | 3.5 |
2270 | Financial Modeling | 3.5 |
2128 | Competition Policy | 3.5 |
2599 | Project scoping | 3.5 |
2496 | Strategic Foresight and Scenario Planning | 3.5 |
Fall 2nd Half | ||
---|---|---|
Code | Name | ECTS |
2621 | Algorithmic governance | 3.5 |
2440 | Big Data Analysis | 3.5 |
2493 | Marketing Analytics | 3.5 |
2609 | Data Visualization for Business Analytics | 3.5 |
2218 | Derivatives | 3.5 |
2607 | Digital Markets | 3.5 |
2588 | Science-Based Entrepreneurship and Innovation | 3.5 |
2649 | Energy and Climate change | 3.5 |
2359 | Operations Management | 3.5 |
2448 | Business Model Innovation | 3.5 |
2441 | Digital Marketing | 3.5 |
2346 | Modeling Business Decisions | 3.5 |
2270 | Financial Modeling | 3.5 |
2644 | Sustainable Operations | 3.5 |
2185 | Game Theory | 3.5 |
Spring 1st Half | ||
---|---|---|
Code | Name | ECTS |
2663 | AI Impact on Business | 3.5 |
2440 | Big Data Analysis | 3.5 |
2493 | Marketing Analytics | 3.5 |
2622 | Blockchain fundamentals | 3.5 |
2371 | Circular Economy: Eliminate, Circulate and Regenerate | 3.5 |
2616 | Cracking the Sales Code | 3.5 |
2389 | Machine Learning | 7 |
2218 | Derivatives | 3.5 |
2481 | Product Design and Development | 3.5 |
2135 | Economics of Health and Health Care | 3.5 |
2273 | Fintech Ventures | 3.5 |
2468 | Technology Strategy | 3.5 |
2352 | Quality Management | 3.5 |
2214 | Asset Management | 3.5 |
2465 | Open Innovation | 3.5 |
2641 | Modeling Business decisions for Operations | 3.5 |
2623 | Network Analytics | 3.5 |
2612 | Advanced Programming for Data Science | 3.5 |
2496 | Strategic Foresight and Scenario Planning | 3.5 |
2615 | Web and Cloud Computing | 3.5 |
Spring 2nd Half | ||
---|---|---|
Code | Name | ECTS |
2622 | Blockchain fundamentals | 3.5 |
2616 | Cracking the Sales Code | 3.5 |
2442 | Design and Construction of Data-Centric Apps | 3.5 |
2588 | Science-Based Entrepreneurship and Innovation | 3.5 |
2451 | Operations Strategy | 3.5 |
2468 | Technology Strategy | 3.5 |
2397 | Innovation Management | 3.5 |
2214 | Asset Management | 3.5 |
2359 | Operations Management | 3.5 |
2465 | Open Innovation | 3.5 |
2448 | Business Model Innovation | 3.5 |
2441 | Digital Marketing | 3.5 |