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Master's Degree in Bioinformatics and Computational Biology

Offered in: Manizales

Duration 4 semestres

Degree: Magíster en Bioinformática y Biología Computacional

Mode: On-site

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SNIES: 103917

011628 de 29 junio del 2021 por 7 años

Facultad de Ciencias de la Salud, IMBA

Nivel de formación: Posgrados

Admission: Every Semester

Discipline
Investigative

Semester 1

Introduction to Bioinformatics

3 Credits

Systems Biology

3 Credits

Elective I

3 Credits

Elective II

3 Credits

Elective III

1 Credit

Semester 2

Computational Biology - Bioinformatics I

3 Credits

Computational Biology - Bioinformatics II

3 Credits

Ethics and socio-technical, cultural and environmental impact

2 Credits

Interinstitutional Elective I

3 Credits

Research Seminar

3 Credits

Semester 3

Computational Biology - Bioinformatics III

3 Credits

Entrepreneurship and creation of technology-based companies.

3 Credits

Master's Thesis I

9 Créditos

Semester 4

Interinstitutional Elective

3 Credits

Master's Thesis II

10 Créditos

*Note: 1. Students of the Universidad Católica de Manizales must accredit proficiency in English as a foreign language as a degree requirement in accordance with the criteria in the Foreign Language Regulations

2. Students of the Universidad Católica de Manizales can access the academic degree in specialization programs according to the modalities listed in the attached Regulation (art. 65 Academic Regulations)

3. Electives - fundamentals

  • Probability, stochastic models and multivariate analysis
  • Linear algebra
  • Introduction to the concepts of algorithms and complexity
  • Relational databases
  • Programming and scripting
  • Molecular biology
  • Introduction to biology
  • Molecular biology techniques
  • Modeling and simulation of biocomputational models
  • Biochemistry

Electives - Computational Biology

  • Computational Intelligence, Data Mining and Knowledge Discovery
  • Automatic learning
  • Assembly and annotations
  • Phylogenetics
  • Expression analysis
  • Structural bioinformatics
  • Proteomics
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