Businesses today need to analyze available data and interpret them to make forecasts and lead strategic choices.
The Executive Master in Business Analytics and Data Science aims to provide participants with business and analytical skills to influence business decisions and guide them towards change, with a view to efficiency and the interpretation of new market trends.
The program consists of online sessions that let you to combine work and private life while attending the Master. There is a 5-day on-campus smart week that allows you to strengthen networking
with your colleagues, the faculty, and businesses.
The Master features an innovative formula. The program includes alternating meetings of two evening sessions on Tuesday and Thursday (18-21 CET) and Tuesday (18-21 CET) and Saturday morning (9-13 CET). The smart week takes place on Campus at the end of the Master’s course . During this experience the participants will be able to take part in 3 Bootcamp, speech and company visit.
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8/9|Years of professional experience
The Master is for:
The Master’s program is open to graduates with more than 3 years of professional experience and non-graduates with at least 5 years of work experience.
10 courses organized in 2 macro modules that provide specific skills and tools. The teaching activity includes lectures, case studies and discussion opportunities. At the end of each macro module there will be an exam to assess the participants’ learning level.
5+ opportunities for discussion with international managers. The purpose of the meeting is to share experiences, business cases and best practices.
The smart week takes place on Campus at the end of the Master’s course and lasts 5 days. During this experience the participants will be able to take part in 3 Bootcamps, talks and a company visit.
1 project developed in small groups by the participants, putting into practice the knowledge acquired. The project works are developed with the support of the Faculty and are presented on the final day of the Master’s.
Today’s digital technologies and devices such as smartphones, smart products, the Internet of Things (IoT) provide companies with abundant data about consumer behavior prior, during and post transactions. This course explores how to extract useful information from relevant data to garner important insights to guide more effective decision making.
The digital transformation is determining significant changes in operations and supply chain management (SCM) processes. Technologies such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology are radically transforming production and distribution systems. This course aims to investigate these transformations to understand the firms’ ability of gathering and analysing information about their environment can generate significant value to the SCM processes.
This course explores the ways in which new technologies are re-shaping the financial services industry. The course will provide insights on how blockchain, AI and deep learning can affect the financial industries. Students will also gain an understanding of how these technologies can affect the competitive landscape of the financial sector.
Digital technologies are reshaping companies and industries. This dramatic change is forcing firms to adapt to and embrace this change. This course will help you staying ahead of this radical transformation by providing you with a more clear understanding of this new landscape and the strategic choices and tradeoffs it presents.
This course offers students the chance to understand and analyze data. We will explore the fundamentals of data exploration and we will apply these tools to business problems.
The course deals with the assessment of the financial consequences of managerial decisions.
More in details, it tackles different aspects of the topic: the short term impact on profitability, the short term impact on the financial position, the long term impact on the economic value and the strategic impact of the decision.
This differentiated approach allows to manage the trade offs among different dimensions (profitability, financial position and strategy) in order to take more consistent decisions.
Furthermore, part of the program is focused on the exploiting of financial and strategic data through mathematical and statistical approaches with the aim of increasing the effectiveness of managerial decisions.
This course will cover the fundamental of data mining for medium and large dimensional data sets. During the course you’ll explore how different methods can be used to analyse data, classify information and make predictions. This course will also provide you with some understanding on how some machine learning tools can operate.
Security, sustainability, privacy, these just some of the factors that might influence firms’ effective use of data. This course will cover these challenges and will provide some insight on how data exploitation can be secure, respectful of privacy need and sustainable.
The Executive Master in Business Analytics and Data Science gives the opportunity to interact with cutting-edge companies through the on-campus smart week, the Digital Talks, and the events dedicated to the BBS community, for which a specific digital platform has been designed to enable interactions between Alumni and ongoing participants.
Enrollment fee for the Master:
Special rates are available for individual registrations. For further information: firstname.lastname@example.org
Special terms are available thanks to Interprofessional Funds:
Fondimpresa funds training activities aiming at supporting product and/or process technological innovation for SME’s in the manufacturing industry. Click here for further information.
The selection process will feature the analysis of the Curriculum Vitae followed by an entry test and an individual interview, the aim being to identify the candidate’s professional profile and its consistency with the participation to the Master.
To access the selection stage for the Master please send your Curriculum Vitae to email@example.com
Faculty members at Bologna Business School work together offering outstanding teaching standards. An international and interdisciplinary approach is guaranteed by a joint team of distinguished national core professors, adjunct, visiting professors, guest speakers and top managers.