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Masters
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Computer Science & IT
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Applied Data Science for Banking and Finance - Brescia
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MASTERS

Applied Data Science for Banking and Finance - Brescia

Universita Cattolica del Sacro Cuore (Brescia)
BresciaItaly
On campus
Full-time
€6,360.00/year
 1260 Points
Duration
2 Years
Language
English
Start date
Sep 2024

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Program Description

The master in Applied Data Science for Banking and Finance develops the student’s professional capabilities to leverage the challenges emerging from innovation by using inter-disciplinary competencies.

For this reason, the study plan for the master in Applied Data Science for Banking and Finance is based on three inter-dependent knowledge pillars: a technical-scientific area, in order to acquire computer science-oriented skills and the instruments for statistical analysis of data, a corporate-management area to develop analytical abilities within a company environment, a financial-economics area to create competences for specific analysis in sectors addressed by this degree course.

Entry Requirements

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Curriculum

Year 1

IT Coding for data science

Probability and statistics

Analytics accounting

Data Analysis Techniques and Tools

Courses from the economic/Legal area

Finance and banking

Elective course

Foreign language (Italian for international students)

Seminar on theological issues

Year 2

Artificial intelligence and machine learning

Laboratory of data analytics for banking and insurance

Laboratory of data analytics for investment

Elective courses

Internship/Stage

Final dissertation

Choose one of the following:
Dynamical systems in finance
Quantitative Finance

Elective Courses

Cloud Computing Technologies

Laboratory of Artificial Intelligence and Machine Learning Applications

Time Series Analysis and Forecasting

Applied financial econometrics

Sustainable business innovation and finance

Business analytics and data-driven decision making

Cyber security regulation

Game theory

Quantitative finance

Dynamical systems in finance

Jobs - Careers

  • Business Analyst
  • Financial Data Scientist
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