IE University

15 Programs 1 Degree levels

A four-year, English-taught undergraduate programme that trains students to translate real-world problems into mathematical models and computational solutions. Suited to those strong in abstract reasoning who want rigorous foundations plus applied skills in modeling, coding and optimization for industry or research.

Programme overview

This is a four-year, full-time bachelor taught in English at IE University, delivered on the Segovia and Madrid campuses (students starting in Segovia spend Years One and Two there, then move to Madrid for Years Three and Four; starting in Madrid means all four years are in Madrid). The curriculum balances mathematical theory, numerical computation and applied work, emphasising modeling, optimization and the use of mathematical language to formulate and solve real problems.

What you'll study

Years One and Two concentrate on building solid mathematical foundations to support later applications. From the first year students apply mathematical thinking to practical challenges, combining reasoning, modeling, computation and coding.

  • Mathematical modeling and optimization: translating real constraints into structured formulations and solving them using theoretical and numerical tools.
  • Computation and coding: practical implementation of methods, including training in tools such as LaTeX for scientific writing.
  • Applied areas and emerging topics: exposure to fields like quantum computing and data-driven technologies.
  • Specialisation in Years Three and Four: students select a focused area (Industrial Mathematics, Artificial Intelligence or Financial Mathematics, subject to availability) and complete a capstone project. Internships and international exchanges are encouraged.

Entry requirements

The published programme text does not list specific entry criteria. Prospective applicants should consult the university's admissions pages for formal academic prerequisites, language proficiency expectations and application procedures.

Career prospects

Graduates are prepared for quantitatively demanding roles across sectors. Typical career directions highlighted by the programme include:

  • Investment analyst at a hedge fund
  • Quantitative trader or data scientist
  • Machine learning engineer, natural language processing specialist, or computer vision and robotics expert
  • Cryptography and cybersecurity specialist
  • Structure and logistics consultant
  • Researcher in artificial intelligence or complex systems analysis

Scholarships & funding angle

The programme description does not specify scholarship details. Applicants should review IE University's central scholarships and financial aid information for available merit- or need-based support, application deadlines and eligibility criteria.

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Programme details are indicative and may change — always verify current information with the official university website before applying.