Curriculum
The curriculum of the Master in Digital Transformation for Corporate and Business Strategy – Major in Big Data Analytics and Strategic 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 Major in Big Data Analytics and Strategic Management, 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 Major in Big Data Analytics and Strategic 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 Analytics
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 I
- 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
- Advanced Visualisations
- Special Topics in Machine Learning
- Practical Big Data: Business Case
Experiences
The Experiences are “experiential” activities, structured over a single day or several days, which ensure the improvement of analytical thinking combined with a real practical attitude.
- Algo Trader
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 Major in Big Data Analytics and Strategic 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 in Digital Transformation for Corporate and Business Strategy lasts 12 months and is divided in 4 terms.
Term 1: September-December 2024
Term 2: January-February 2025
Term 3: March-June 2025
Term 4: Internship
Please note that the academic calendar is subject to change, for more information and details please e-mail master@luissbusinessschool.it.
