Program Overview Data Science - UDLAP
Program Overview
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As a graduate from the Licenciatura in Data Science you will be able to analyze, interpret, design, and implement solutions to problems that involve large quantities of information, using statistical analysis, mathematical models, machine learning, and big data handling processes and methodologies. Additionally, you will be able to devise ways to develop efficient and innovative strategies to meet society’s needs, in a national and international context, with technical, ethical, and social commitment.

When you finish this program, in addition to a licenciatura degree you will receive a bachelor diploma with international recognition for your studies.

As well as developing your skills, the Licenciatura in Data Science studies will

  • Provide you with a solid math preparation.
  • Train you to analyze large amounts of information.
  • Teach you to design and develop methodological proposals in data analysis.
  • Train you to master the methodological aspects of Data Science using statistical analysis and software to propose solutions based on evidence.
  • Teach you the use of mathematical, statistical, and optimization models.
  • Interested in using math to solve problems.
  • Ability, initiative, and interest in learning independently through problem-solving.
  • Ability to summarize, analyze, reflect, and debate to solve problems.
  • Skills in solving numerical problems by applying mathematical and scientific method techniques.
  • Analyzes complex data by applying statistical and computer models to propose solutions to the information needs in optimization areas, big data handling, and statistical analysis.
  • Interprets statistical information using math and computer skills that involve large quantities of information to recommend strategies that contribute to decision-making.
  • Relates random phenomena with context variables through the use of probability tools to propose solutions to current problems.
  • Analyzes large quantities of information using statistical and computer intelligence models to categorize phenomena.
  • Designs data analysis strategies through statistics and probability techniques to recommend innovative solutions in information analysis.
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