The increasing flow and production of large amounts of data, as well as technological innovations are redesigning the way we collect, process and interpret information. New tools, such as data science, provide unprecedented potential to improve public policy decision-making and evaluate existing policies, making it possible to identify patterns and trends in vast data sets and formulate more informed and effective strategies.
This demands that future professionals know the latest technologies and approaches used in the management and analysis of public problems, and can use tools such as artificial intelligence, data analysis, and Bayesian statistical methods, but also interpret and communicate the results of their analysis and lead multidisciplinary teams, ensuring that technology translates into successful projects, from the public, private or non-governmental sector.
In this context, and due to the complexity of public problems, transdisciplinarity is fundamental, since in addition to technological knowledge and the skills required for its application, a deep understanding of the problems and the contexts in which they develop, beyond local borders, is necessary. Thus, proposing data-driven solutions can contribute to the transformation of the public sphere, under an ethical approach and for the benefit of society.
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.
The Master in Data Science and Public Policy at Tecnológico de Monterrey is aimed at graduates with an interest and commitment to public policy, willing to learn to program, and with an inclination to study topics such as sustainability, social equity, economics and complex problems at the local, regional or global level; professionals with quantitative skills or experience in fields related to mathematics, statistics, economics, physics, engineering, computer science or related fields.
Also, applicants for positions as public policy analysts, data specialists or evidence-based policy advisors in the public sector; data strategy consultants, market research analysts or corporate policy specialists in the private sector; or policy researchers, data analysts for development and specialists in public policy with social impact in the non-governmental sector.
Profiles interested in applying skills and knowledge to make a difference in the world, motivated by the idea of using data science and modeling to inform and improve public policy and make a positive impact, from the public, private or non-governmental sector.
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.
Upon completion of the Master in Data Science and Public Policy, the graduate will be able to:
Knowledge
- Have in-depth knowledge of the latest technologies and approaches used in the management and analysis of public policy. Apply knowledge in the use of advanced tools, such as artificial intelligence and data analysis, to improve the efficiency and effectiveness of public policies.
- Know the techniques and tools of data science. Understand the underlying fundamentals and how they work in order to be able to apply these methods effectively and critically.
- Know the concept and application of the new economy with a range of factors including environmental sustainability, social equity and human welfare.
- Know and understand the complexities of public policy and how it interacts with the economy, society and the environment.
- Understand complex problems that cut across disciplinary boundaries and require solutions that take into account a multitude of factors.
- Understand how data and models are used to forecast the consequences of different policies and know how the decision-making process is guided.
- Be familiar with programming languages, mainly Python and R.
Skills
- Develop a deep mastery of data science methods and techniques: handle large datasets, perform sophisticated analysis and extract meaningful insights from data.
- Identify relevant problems related to public policy, understand their context and apply analytical and computational approaches to their study.
- Address and analyze wicked problems: as well as multifaceted problems that transcend disciplinary boundaries and require a systems approach.
- Informed decision making, using data and models to make the best public policy decisions.
- Strong effective communication skills to explain complex technical concepts to non-technical audiences.
- Present results of analysis clearly and convincingly to decision makers, stakeholders and the general public.
Attitudes
- Be a leader with an entrepreneurial spirit, human sense and internationally competitive.
- Be an agent of change using your knowledge and skills to influence public policy and promote evidence-based solutions to social problems.
- Be aware of the ethical and social challenges related to the use of data science in public policy and be committed to using their skills and knowledge for the public good.
