Big Data and Management Master in Digital and Business Transformation
Big Data and Management
Master in Digital and Business Transformation

Length

12 months

Language

English

Rome

26 Sep '22

Fee

16,000 €

The Master’s Degree Programme in Big Data and Management prepares students to work effectively with heterogeneous, large-scale, real-world data and trains them to become experts in using business insights.
Big Data and Management Master in Digital and Business Transformation
Big Data and Management
Master in Digital and Business Transformation

Length

12 months

Language

English

Rome

26 Sep '22

Fee

16,000 €

The Master’s Degree Programme in Big Data and Management prepares students to work effectively with heterogeneous, large-scale, real-world data and trains them to become experts in using business insights.
Curriculum

The curriculum of the Master’s Degree Programme in Big Data and Management is designed to ensure and support the progressive professional and personal growth of students who benefit from a productive learning experience: lessons, case studies, group work sessions, and a high-level faculty comprised of both academics and professionals.

During the Master’s Degree Programme, students receive constant support from the Career Service Office that helps them increase their employability and find a curricular internship.

Induction week

The induction week is an introductive week to the Master’s Degree Programme in Big Data and Management during which students can settle in and familiarise themselves with life on campus. Ice-breaking labs, seminars, workshops, and presentations allow students to meet their classmates and get a better idea of the services offered by Luiss Business School, as well as curricular and extracurricular activities.

General management

General management courses aim to give all students the necessary business management foundations in order to better understand new concepts that will be introduced during the core and advanced courses. The general management courses provide students with an overview is highly useful upon entering the job market.

  • Strategy
  • Accounting
  • Organisation & People Management
  • Business Law
  • Economics of Strategy
  • Financial Management
  • Marketing

Core courses

The core courses introduce students to industry-focused concepts that are specific to this major. These courses provide students with the key principles and skills they need to better understand their chosen sector.

  • Data Science Toolkit
  • Programming for Data Analysis 1
  • Statistics for Data Science
  • Econometrics
  • Python for Finance
  • Big Data Programming Models
  • Programming for Data Analysis II

Advanced courses

The advanced courses provide students with an in-depth perspective on specific aspects of international business, adopting a more practical approach.

  • Machine Learning
  • Time Series Econometrics
  • Marketing Analytics
  • Advanced Visualisations
  • Special Topics in Machine Learning
  • Practical Big Data: Business Case

Learning Labs

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

Internship

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

Academic Calendar

The Master’s Degree Programme in Big Data and Management lasts 12 months and is divided in 4 terms.

Term 1: September-December 2022

Term 2: January-February 2023

Term 3: March-June 2023

Term 4: Internship

Please note that the academic calendar is subject to change, for more information and details please e-mail masterluissbs@luiss.it.