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Students
مصاريف
تاريخ البدء
وسيلة الدراسة
عبر الإنترنت بالكامل
مدة
24 months
حقائق البرنامج
تفاصيل البرنامج
درجة
الدبلومة
تخصص رئيسي
Biology | Chemistry | Biochemistry
التخصص
العلوم
نوع التعليم
عبر الإنترنت بالكامل
توقيت
لغة الدورة
إنجليزي
عن البرنامج

نظرة عامة على البرنامج


The Graduate Certificate in Data Science for Biology and Chemistry equips students pursuing Master's degrees in Biology or Chemistry with computational skills for cutting-edge research. Over two years, students learn to obtain, analyze, and visualize data using programming languages and data science methods. The program emphasizes the growing importance of data science in these fields and prepares students for careers in research or data-driven industries.

مخطط البرنامج


Degree Overview:

The Graduate Certificate in Data Science for Biology and Chemistry is a 2-year, 12-unit program designed for students pursuing a Master's degree in Biology or Chemistry. The program equips students with the computational and programming skills necessary for cutting-edge research in these fields.


Objectives:

  • Develop computational skills for creating, debugging, and running data analysis programs.
  • Gain experience with programming languages and big data tools for obtaining, storing, managing, and sharing data in distributed environments.
  • Learn data evaluation techniques and apply data science analysis methods like statistical analysis, machine learning, and data visualizations.
  • Develop data science as a professional skill, effectively communicate analyses and results, and network with professionals for career advancement in data science.
  • Apply data science skills to solve real-world problems in biology and chemistry using discipline-specific data and questions.

Other:

The program emphasizes the increasing need for computational skills in modern biological and chemical research. It aims to integrate data science into students' professional identity, providing them with a competitive edge in their careers. The program allows students to tailor their learning by choosing one elective course from a list of discipline-specific data science applications.

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