Curriculum
First year
- IT Coding for data science - 12 ECTS
- Probability and statistics - 6 ECTS
- Analytics accounting - 6 ECTS
- Data Analysis Techniques and Tools - 6 ECTS
- Course from the economic/Legal area - 6 ECTS
- Finance and banking - 12 ECTS
- Elective course - 6 ECTS
- Foreign language (Italian for international students) - 6 ECTS
- Seminar on theological issues (in Y1 or Y2)
Second year
- Artificial intelligence and machine learning - 6 ECTS
- Laboratory of data analytics for banking and insurance - 6 ECTS
- Laboratory of data analytics for investment - 6 ECTS
- One course among - 6 ECTS
- Dynamical systems in finance
- Quantitative finance
- Elective courses - 12 ECTS
- Internship/Stage - 6 ECTS
- Thesis - 18 ECTS
Elective courses list Read
- Cloud computing technologies - 6 ECTS
- Laboratory of Artificial intelligence and Machine learning application - 12 ECTS
- Time series analysis and forecasting - 6 ECTS
- Applied financial econometrics - 6 ECTS*
- Sustainable business innovation and finance - 6 ECTS*
- Business analytics and data-driven decision making - 6 ECTS*
- Cyber security regulation - 6 ECTS*
- Game theory - 6 ECTS*
- Quantitative finance - 6 ECTS
- Dynamical systems in finance - 6 ECTS
* Economic/Legal area
** Also includes Artificial intelligence and
machine learning (6 ECTS
Career opportunities
- Business Analyst
Business Analysts play a critical role in gathering, processing, and presenting data to guide a company’s strategic decisions. They may work independently or collaborate with departments like finance, marketing, and sales to support organisational objectives. Graduates acquire skills in data management, communication, and strategic analysis, enabling them to identify key data areas aligned with company goals, manage databases, design research experiments, and interact across functions. Business Analysts often find roles in consulting, where they provide data-driven insights to departments or serve as financial auditors for large organisations.
- Financial Data Scientist
Financial Data Scientists provide essential analytical support for decision-making in banking and finance, covering areas such as investment choices, capital allocation, and credit risk. Graduates are equipped with technical expertise in data retrieval and analysis, along with planning and organisational skills, allowing them to handle complex data tasks across banking, corporate finance, and government sectors. This role is particularly attractive to investment firms, FinTech companies, banks, and asset management organisations. Financial Data Scientists may also work independently as quantitative analysts or freelance consultants.
Programme dates
Classes started on September 30th, 2024.
For reference: find here the calendar of the Faculty of Mathematics, Physics and Natural Sciences for the academic year 2023/24.