Data Engineering and Artificial Intelligence

Duration: 9 semesters

Modality: Online

Call for applications: Annual

Faculty of Engineering, Mexicali.

+52 (686) 841-8235

engineering.mxl.uabc.mx/fim

Whoever graduates from the educational program Bachelor's Degree in Data Engineering and Artificial Intelligence may work as:

Public and private sector:

  • Implements data analysis solutions in government institutions for public management.
  • Manages technological infrastructures in public education and health organizations.
  • Proposes and evaluates artificial intelligence systems for the optimization of public services.
  • Design data analysis solutions to optimize business processes.
  • Implement artificial intelligence projects.
  • Proposes and evaluates systems based on computational learning for various productive sectors.
  • Develop predictive analytics applications to improve decision making.

As an independent professional:

  • Provides consulting and training in data analysis and artificial intelligence.
  • Create customized technology solutions for companies and organizations.
  • Undertakes the development of applications and services based on artificial intelligence and data science.
Design innovative technological solutions based on data engineering and artificial intelligence, promoting links with productive and social sectors, and promoting economic and sustainable development.
To achieve this, the following specific objectives are established
 

1

Develop innovative solutions applying advanced data engineering and artificial intelligence models.

2

Increase linkage actions with the various productive and social sectors, discipline, honesty and respect for diversity.

3

Manage technological systems ensuring scalability, monitoring and continuous updating.

4

Promote the creation of innovative technological projects that, through the interdisciplinary use of acquired knowledge, promote economic and social development.    

Whoever wishes to enter the Bachelor's Degree in Software Development must have the following characteristics:

General Knowledge in the areas of:

  • Math
  • Logic
  • Text writing

Skills:

  • Oral and written communication.
  • Hardware and software management.
  • Ability to analyze and synthesize information.
  • Operate computer equipment and mobile devices.
  • Self-learning.
  • Logical reasoning.

Attitudes and Values:

  • Be inclusive
  • Commitment to quality
  • Interest in research and problem solving
  • Willingness to work as a team
  • Discipline and organization to work
  • Trust
  • Creativity
  • Honesty
  • Humility
  • Justice
  • Loyalty
  • Freedom
  • Perseverance
  • Respect
  • Responsibility
  • Solidarity
  • Tolerance
  • Lead and design strategic projects based on the characteristics and needs of social and business organizations, using business models and applying artificial intelligence techniques, data analysis and use of technological tools in a creative way to improve and optimize processes, and provide data for decision making, with innovation, interdisciplinary approach, social responsibility, taking into account the guidelines and ethical principles of the use of artificial intelligence.
  • Implement technological solutions by applying advanced computing tools for data analysis, artificial and business intelligence, office suites, and cloud services and infrastructure to solve complex problems and optimize processes in business industrial environments, public and government organizations, with ethics and responsibility. through teamwork, effective communication and adaptability.
  • Manage artificial intelligence and data engineering technological infrastructure, for the monitoring, evaluation and scaling of an organization's processes, with responsibility, objectivity, honesty and confidentiality.
  • You must also demonstrate command of English through the following options a) Accredit courses up to level V taught by the Continuing Education Center or the academic unit of the UABC. b) Be assigned at least level VI of the language diagnostic exam foreign applied by the General Coordination of Student Services and School Management of the UABC. c) Proof of having obtained at least 43 points in the TOEFL-iBT exam, or at least 460 points in the TOEFL-iTP exam, or at least level B1 of the Common European Framework of Reference or its equivalent, with a validity no more than 3 and a half years. d) Accreditation of the foreign language graduation exam, which is applied at the Faculty of Languages of the three UABC campuses. e) Have accredited formal studies in a foreign language in educational institutions in Mexico or abroad, where they present certificates of diplomas or upper secondary or higher education.  

Curriculum

Subject Credits Mandatory
Algebra 10 ✓
Reading Comprehension and
Indirect Writing
8 ✓
Fundamentals of
Programming
10 ✓
Differential Calculation 10 ✓
Probability and Statistics 10 ✓
Interpreted Languages 10 ✓
Subject Credits Mandatory
Integral Calculation 10 ✓
Data Analysis 10 ✓
Databases 10 ✓
Data Acquisition 9 ✓
Discrete Mathematics 9 ✓
Base Administration
Data
10 ✓
Signal Processing
Digital
9 ✓
Parallel and Distributed Computing 9 ✓
Data Mining and
Discovery of
Knowledge
10 ✓
Stochastic Processes 9 ✓
Cloud Computing 10 ✓
Artificial Intelligence 10 ✓
Soft Computing 10 ✓
Economic Engineering 8 ✓
Machine Learning 10 ✓
Generative AI 8
Intelligent Agents 8
Approaches and Topics
Specialized Data Analysis
8
Technical Communication for
Data Science and Artificial
Intelligence
8
Subject Credits Mandatory
Entrepreneurship and Leadership 8 ✓
MLOPs 10 ✓
Deep Learning 10 ✓
AI Governance 9 ✓
Formulation and Evaluation of
Projects
8 ✓
Unit Administration
Computer science
9 ✓
Robotics 8
Big Data 8
Artificial Vision 8
Selected Topics of
Emerging Technologies
8
Ethics and Privacy of the
Information
9
Computer Networks 10

Curriculum Map

Download the Curriculum Brochure

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