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Computer Science & IT
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Bachelor in Applied Mathematics and AI (BSc) - SIU (Madrid)
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BACHELORS

Bachelor in Applied Mathematics and AI (BSc) - SIU (Madrid)

Schiller International University Madrid
MadridSpain
On campus
Full-time
€15,400.00/year
Duration
4 Years
Language
English
Start date
Sep 2025

Program Description

Solve real-world challenges with expertise in software systems, mathematical mastery, and cutting-edge AI skills.

Join Schiller International University's Bachelor in Applied Mathematics and AI (BSc) program to become a tech pioneer. Develop a strong foundation in solving technical problems and applying design principles to advanced software systems, mastering mathematical and computational methods for diverse challenges.

The bachelor's degree in Applied Mathematics and AI (BSc) integrates statistical, software engineering, and machine learning skills to create efficient, data-driven solutions. The study applied mathematics and AI to learn about cutting-edge computer science and data analysis techniques, focusing on data quality's impact on conclusions and exploring human-AI collaboration for innovative problem-solving.

Acquire industry-relevant skills, from machine learning to data analysis, aligned with market needs. With a projected 11% growth in AI jobs (US Bureau of Labor Statistics, 2019-2029), seize limitless opportunities tomorrow by building advanced skills and insights today. Schiller is your gateway to a future-ready career and making a positive impact on the world.

Entry Requirements

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Why Study Bachelor in Applied Mathematics and AI (BSc)

  • Advanced Tech Expertise
  • Real-World Learning
  • Innovative Integration
  • Industry-Relevant Skills
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Course Highlights

  • Develop skills and a strong foundation for diverse computing careers, mastering the art of solving technical problems and applying design and development principles to software systems.
  • Apply a broad range of mathematical and computational methods to solve complex problems in scientific, engineering, and business domains.
  • Acquire efficient solution design skills to design and implement data-driven solutions to real-world problems. Combine statistical, software engineering, and machine learning skills for impactful problem-solving.
  • Master both computer science and statistical data analysis techniques. Learn to extract, visualize, and prepare data for various statistical methods, recognizing the impact of data quality on conclusions.
  • Explore the future of work with human-AI collaboration. Understand how AI can improve human capabilities, creating new possibilities for collaboration and problem-solving.
  • Learn how technology can be a force for good, addressing societal challenges and making a positive impact on the world.
  • Acquire industry-relevant skills directly relevant to industry needs, from machine learning to data analysis.
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Curriculum

General Courses

Behavioral Psychology and Wellbeing

Programming Foundations

English Composition

College Research and Writing

Public Speaking

Beginning Foreign Language I

Beginning Foreign Language II

Introduction to International Business

Introduction to Big Data and Artificial Intelligence

Introduction to Problem Solving

College Mathematics

Science and Society

Area Courses

Statistics

Business Information Systems

Data Visualization

Capstone BCS Project I

Capstone BCS Project II

Object-Oriented Programming

Database Systems

Integrative BCS Project I

Integrative BCS Project II

Data Structure and Algorithms

Advanced Databases

Integrative BCS Project III

Mining Big Data

Data Analytics

Machine Learning

Computer Security

Artificial Intelligence

Agile Methodologies for Innovations

Digital Vision and Strategy

Mathematics for Computer Science

Applied Mathematics and Data Analysis

Stochastic Processes

Linear Statistical Modelling

Games, Decisions, and Behavior

Multivariate Statistics

Jobs - Careers

  • Finance
  • Banking
  • Data Science
  • Data Analytics
  • Technology
  • Health
  • Consulting
  • Academic Research
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