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
Available soon
Coordinator
Prof. Rodrigo Belo
Opening date
Available soon
Vacancies
https://www2.novasbe.unl.pt/en/about-us/quality
Fees
Information available >> https://www.novasbe.unl.pt/en/programs/masters/business-analytics/fees
Schedule
Full-time and on-campus
Teaching language
English
Degree pre-requisites
The awarding of ECTS grades per
curriculum component breaks down as follows:
33.5 ECTS in Mandatory Courses (*) including the Mastering Your Career 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 to graduate
(*) Courses on offer are subject to change.
The course’s syllabi reports to the current
academic year. The update syllabi will be available at the beginning of each
term.
Information available >> https://www.novasbe.unl.pt/en/programs/masters/business-analytics/program
Conditions of admittance
Information available >> https://www.novasbe.unl.pt/en/programs/apply/masters/admission
Evaluation rules
Available soon
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 |