The Master in Big Data and Management is a 12-month programme of intensive training, designed to develop the unique skill set required for a successful career in the world of big data and business analytics.

The curriculum is designed to ensure and support the progressive professional and personal growth of the students. Students will benefit from a productive learning experience made up of lessons, case studies, group work sessions, and a high-level faculty of both academics and professionals.

During the Master, students will receive constant support from Career Service who will help them increase their employability in the labour market and aid them in the search for a curricular internship.


  • Economics of Strategy
  • Strategy
  • Accounting
  • Organization and HRM
  • Business Law


  • Statistics for Data Science
  • Econometrics
  • Marketing Analytics
  • Advanced Visualizations
  • Machine Learning
  • Data Science Toolkit
  • Big Data Programming Models
  • Python for Finance
  • Programming for Data Analysis I
  • Programming for Data Analysis II
  • Time Series Econometrics
  • Special Topics in Machine Learning
  • Practical Big Data: Business Case


Learning labs focus on personal development. During the programme, students develop cross-functional and soft skills by attending sessions during which they will: cultivate intellectual flexibility; develop problem solving skills; learn to adapt in diverse situations; refine cross-cultural awareness.

Read more about the Learning Labs


The curricular internship is generally done at the end of the Master and represents an opportunity for students to combine theory and hands-on experience, coming into direct contact with professionals working in the industry. Career Services supports students in their search for internship opportunities, thus helping to broaden students’ career prospects and giving them the possibility to acquire the necessary work experience, increasing and improving their skills and expanding their business network.


The Master lasts 12 months and it is composed of 4 terms.

  • Term 1: September – December 2020
  • Term 2: January – February 2021
  • Term 3: March – May 2021
  • Term 4: From May 2021 to the end of the Internship

Please note that the academic calendar is subject to change, to get more information and details write to