MS in Computer Science
DURATION
2 Years
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
On-Campus
Key Summary
Scholarships
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Introduction
Technological trends in the modern world point to the need for computer systems with greater flexibility, capable of adapting to unforeseen conditions and uncertainty, and with interaction skills. Machine learning, data science and analysis, as well as various techniques inspired by nature are generating technology to equip computer systems with the aforementioned capabilities, which will transform society, the economy and the environment in this 21st century. This graduate degree in Computer Science prepares its students to be leaders in this new wave of technology.
The program is research-oriented and integrated with the Doctorate in Computer Science (DCC), and emphasizes lines of research in bio-inspired algorithms, machine learning models, and data science and applied mathematics that are strongly supported by the activity. of research carried out within the Research Groups with a Strategic Approach (GIEE) and projects associated with the program (Intelligent Systems, Bioinformatics, Computational Learning Models, Industrial Engineering and Numerical Methods).
objective
Train highly specialized human resources with the following skills:
- Mastering and correctly applying the latest technologies and methodologies in Computer Science.
- Continuously self-learn and adapt to new environments.
- Work collaboratively in multidisciplinary teams.
- Develop scientific-practical research projects.
- Work with a culture of innovation and patent development for the development of technology-based companies.
- Communicate effectively orally and in writing in English and Spanish.
Lines of investigation
- Bio-Inspired Systems (Bio-inspired Algorithms)
- Machine Learning Models
- Data Science and Applied Mathematics (Data & Computational Science)
Graduate profile
At the end of the program, the graduate will be able to:
- Demonstrate a high level of theoretical and methodological knowledge of Computer Science in any professional situation.
- Carry out research in your area of specialty that provides new knowledge of relevance to the advancement of Computer Sciences.
- Communicate results of your professional work in a clear, effective and efficient manner.
- Work in the professional community of your area of expertise with leadership in an efficient, collaborative and ethical manner.
Tecnológico de Monterrey
More than 70 years of educational excellence
Our strengths
Tecnológico de Monterrey is a Mexican institution of higher education that has a new vision towards 2030:
Leadership, innovation and entrepreneurship for human flourishing
Data and numbers
- 20% of the directors of the largest companies in Mexico are graduates of Tecnológico de Monterrey.
- After 5 years of graduation, 42% of EXATEC are or have been partners or owners of a company.
- 18% of EXATECs have at least one international experience 5 years after graduation.
- Within 5 years of completing their studies, 28% of EXATECs hold a managerial position.
Rankings
- Best private university in Mexico. QS University Rankings, 2020
- In the top 3 of the best universities in Latin America. QS University Rankings, 2020
Admissions
Curriculum
Curriculum
- Period: Half-yearly
- Start: February and August
- Number of subjects: 13 subjects
- Duration: 2 years
Elective courses
- Optional I - IV
Basic courses
- Intelligent Systems
- Computer Fundamentals
- Machine learning
- Applied mathematics
Stamp course (choose one)
- Leadership for Sustainable Development
- Leadership for Business Development
Research courses
- Research and Innovation Methods
- Thesis I - II
Program Outcome
Benefits of studying this program
- The academic faculty is made up of research professors, many of whom belong to the National System of Researchers (SNI).
- Internationalization program to carry out stays in universities and research centers around the world.
- Tecnológico de Monterrey has accreditations such as: SACS, CIEES, SEP and CONACYT.
Ideal Students
Addressed to
Professionals with a bachelor's degree in areas of computer science, engineering and exact sciences mainly, interested in carrying out high-impact research, to contribute to the knowledge of any of the specialty areas of Computer Science.