Study plan

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Data science is a new field that people have developed to turn available data into strategic information that can help to visualize the state of the process being analyzed, as well as to identify the variables/elements that influence and affect it. The mass generation of data has set before people and organizations (both public and private) an array of challenges ranging from how to acquire and store their data to what to do with all the data at their disposal. Data scientists are professionals who have the competencies to characterize data using mathematical models in order to identify behaviors, trends, and features of the problem or process being analyzed, and thus to optimize and forecast its performance. Current and future challenges make data scientists key members of work teams in practically all areas of human endeavor, because they are the ones who can make data useful for taking competitive and social advantage of specific processes, developments or situations that take place but that people fail to understand in all their implications.

ELECTIVE ROUTES

  • Finance and economics
  • Environment
  • Energy
  • Social sciences

Fundamentals:

Five mandatory courses

  • Multivariate statistical analysis
  • Mathematical fundamentals of data science
  • Convex optimization
  • Time series
  • Predictive modeling

Electives:
You must pass a minimum of 24 academic credits, for which you may choose, in consultation with your advisor, three courses from ITESO's graduate study catalogue.

Research, Development and Innovation (RDI):

Four mandatory RDI seminars

RDI I: Research, Development and Innovation I / Defining the topic or problem

RDI II: Research, Development and Innovation II / Designing the project

RDI III: Research, Development and Innovation III / Developing the project

RDI IV: Research, Development and Innovation IV / Developing and finishing the project

There are a total of eight courses and four Research, Development and Innovation seminars, covering 80 credits over two years when you follow the suggested route.

Suggested route

Term 1

  • Multivariate statistical analysis
  • Mathematical fundamentals for data science
  • RDI I

Term 2

  • Convex optimization
  • Time series
  • RDI II

Term 3

  • Predictive modeling
  • Elective I
  • RDI III

Term 4

  • Elective II
  • Elective III
  • RDI IV

The study plan is subject to constant updating and changes may be made to its order or content.

Recognition of Official Validity of Studies (RVOE, in its initials in Spanish) as set forth in SEP Ministerial Agreement No. 15018, published in the Official Journal of the Federation on November 29, 1976.

 Classroom Modality.