Master in Data Science and Public Policy (MXP) 12 months Postgraduate Programme By Tecnológico de Monterrey |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master's Degree in Data Science and Public Policy at Tecnológico de Monterrey is designed to train highly qualified professionals in the application of data science, statistics, economics, systems modeling, and decision-making under uncertainty, to solve complex public problems, using tools machine learning, Bayesian statistics, and scientific thinking. The program provides tools for a broad understanding of the challenges and opportunities of public policies, as well as practical projects that allow you to gain experience in real cases.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master's Degree in Data Science and Public Policy at Tecnológico de Monterrey is designed to train highly qualified professionals in the application of data science, statistics, economics, systems modeling, and decision-making under uncertainty, to solve complex public problems, using tools machine learning, Bayesian statistics, and scientific thinking. The program provides tools for a broad understanding of the challenges and opportunities of public policies, as well as practical projects that allow you to gain experience in real cases.

Admission Requirements

3+
550+
To enter the Master's program in Data Science and Public Policy at Tecnológico de Monterrey, the applicant is expected to have:

Knowledge

A bachelor's degree and basic knowledge of mathematics, statistics, economics, physics, engineering or computer science. An understanding of public issues and their complexities within a national and international framework is also required.

Skills

Possess verbal and mathematical reasoning skills related to the ability to infer, analyze and synthesize, complemented by the exploration of competencies to organize, obtain and understand information to generate innovative strategies.

Strong quantitative skills coming from a related field such as mathematics, statistics, economics, physics, engineering, computer science, etc. or with work experience in whose practice these disciplines have been developed.

Willingness to learn data science programming and computational modeling.

Ability to think critically and creatively to solve complex, multidisciplinary problems.

Reading comprehension skills in the English language.

Attitude

Talented, enthusiastic, committed to the development of their environment and the welfare of society; people who have the potential to successfully complete their graduate program and become leaders with an entrepreneurial spirit, human sense and internationally competitive. 

People who are passionate and ambitious to solve the great challenges of public policy in order to make a difference in the world and have a positive impact.

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Postgrad Programmes 594