Bachelor's Degree in Financial Markets and Data Analysis

4 Years On Campus Bachelors Program

CEU San Pablo University

Program Overview

The Bachelor's Degree in Financial Markets and Data Analysis at Universidad CEU San Pablo is Spain's first program blending finance with cutting-edge data skills, taught entirely in English and designed in collaboration with Bolsas y Mercados Españoles (BME) for real-world impact. It's perfect for ambitious students with a financial passion who want to master big data, AI, and market tools like Bloomberg from day one, gaining a global edge in a tech-driven sector.

Curriculum Structure

First Year
You'll build a strong foundation in how financial markets operate, diving into their instruments, dynamics, and real data analysis right away with tools like Bloomberg. Courses like Fundamentals of Financial Markets and Introduction to Data Analysis get you hands-on with market basics and statistical tools, while Programming for Finance teaches you to code solutions for financial problems. This year sets you up to think like a pro analyst from the start.

Second Year
Here, you'll deepen your finance knowledge with advanced stats and math applied to markets, learning to interpret trends and risks. Key courses include Statistical and Mathematical Tools for Finance, Financial Instruments and Markets, and Machine Learning Basics, where you'll use AI to model predictions and handle big datasets. It's all about turning data into actionable insights for investment decisions.

Third Year
Expect to tackle complex market behaviors with cutting-edge tech, focusing on prediction and strategy. You'll study Artificial Intelligence in Finance, Blockchain and FinTech, and Investment Analysis, applying machine learning to forecast behaviors and blockchain for secure transactions. This builds your ability to lead in innovative financial environments.

Fourth Year
The final year sharpens your expertise through practical projects, global standards training, and electives tailored to careers. Courses such as Advanced Portfolio Management, Big Data in Financial Markets, and AI-Driven Decision Making involve real cases, internships, and capstone work with BME methodologies. You'll graduate ready to innovate in finance.

Focus Areas
Investment analysis, big data processing, machine learning applications, artificial intelligence, blockchain technology, and predictive market modeling—all integrated with global finance principles.

Learning Outcomes
Master market dynamics and instruments; apply statistical, AI, and machine learning tools for data interpretation and prediction; use emerging tech like blockchain for financial decisions; and develop practical skills with Bloomberg and real-world cases for leadership in the sector.

Professional Alignment (Accreditation)
This is an official Spanish Bachelor's degree (título oficial), fully accredited and aligned with EU standards, developed with BME for industry relevance and access to professional certifications in finance and data analytics.

Reputation (Employability Rankings)
CEU San Pablo's economics and business programs boast strong employability, with graduates entering top financial firms thanks to BME collaboration and practical training; while specific QS rankings for this new degree aren't yet available, the university's focus on tech-finance hybrids positions it for high demand in global markets.

Discover more and apply here: https://www.uspceu.com/en/academic-programs/degree/financial-markets-data-analysis

Experiential Learning (Research, Projects, Internships etc.)

At Universidad CEU San Pablo, our Bachelor's Degree in Financial Markets and Data Analysis puts practical skills front and center right from year one, so you're not just studying theory—you're diving into real-world finance with tools and experiences that employers crave. You'll work hands-on with live data, build simulations for risk assessment and portfolio optimization, and tackle challenges in quantitative analysis, algorithmic trading, big data, and risk management using cutting-edge resources like the Bloomberg Classroom. This experience-based approach, backed by an expert faculty in programming, AI, economics, and markets, guarantees you're job-ready with guaranteed internships at BME, one of Spain's top financial entities.

Here's how we make experiential learning a reality for this program::
- Bloomberg Classroom access: Train with Bloomberg terminals from day one for real-time market data, analysis, and global finance standards—essential for investment and trading simulations.
- Guaranteed internships at BME: Get real-world exposure inside the financial ecosystem, applying skills in quantitative analysis, big data, and risk management.
- Practical tools and software training: Use finance-specific tools like Bloomberg, plus programming in areas like AI and machine learning for computational models and risk control.
- SPSS and SAS Laboratory: Hands-on sessions for statistical analysis, data processing, and econometric modeling tailored to financial markets.
- Work with real data and cases: Develop simulations, quantitative models, and scenarios for portfolio optimization, market risks, credit risks, and more.

Imagine stepping into a career shaping the future of finance—check out our full facilities list [here](https://www.uspceu.com/en/students/schools/economic/programs) and apply today to secure your spot!

Progression & Future Opportunities

At CEU San Pablo University, our Bachelor's Degree in Financial Markets and Data Analysis dives right into hands-on learning from year one, so you'll build real-world skills in finance, big data, machine learning, and investment analysis using professional tools and live market data. You'll work with cutting-edge resources like the Bloomberg Classroom, tackle simulations for risk assessment and portfolio optimization, and gain insider experience through guaranteed internships at BME, one of Spain's top financial entities—preparing you perfectly for high-impact roles in quantitative analysis, algorithmic trading, and risk management. This practical focus, backed by faculty with expertise in programming, AI, and financial markets, ensures you're not just studying theory but shaping the future of finance.

Here's how our program delivers that experiential edge:

- Bloomberg Classroom with nine terminals for real-time financial market data, news, and analysis—essential for immersive training in global standards from day one.
- Guaranteed internships at BME, giving you direct access to the financial ecosystem, real challenges in big data, quantitative analysis, and algorithmic trading.
- Professional tools like Bloomberg, plus training in SPSS and SAS for data processing, statistical analysis, and economic-financial modeling.
- Hands-on projects developing computational models to measure market, credit, operational, and legal risks, plus portfolio optimization and investment scenario simulations using real data and practical cases.
- Simulations and case studies aligned with today's financial sector, including programming and AI applications taught by experts with professional experience.

Imagine applying to this program and stepping into a career with global opportunities—taught entirely in English for top employability. Check out our full facilities list here: https://www.uspceu.com/en/academic-programs/degree/financial-markets-data-analysis