Bachelor's Degree in Bioinformatics in Asia

Compare Bachelor Programs in Bioinformatics in Asia 2017

Bioinformatics

A bachelor's degree is a hallmark of higher education. It is given to those who dedicate three to seven years studying a specific program. A bachelor's degree can be earned in a variety of disciplines in the arts and sciences.

Students of a Bachelor’s degree in Bioinformatics are taught the fundamental of computing and biological sciences. The degree is concerned with the practical applications of information technology to the field of biology, including storage, organization and analysis of biological data.

Asia is the world's largest and most populous continent, located primarily in the eastern and northern hemispheres. It covers 8.7% of the Earth's total surface area and comprises 30% of its land area.

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Bachelor in Bioinformatics

Indonesia International Instutite for Life Sciences (i3L)
Campus Full time 3.5 - 4 years July 2017 Indonesia Jakarta

In an age where big data analysis is integral to successful existing businesses and new entrepreneurial initiatives, the Indonesian International Institute launched the first bachelor degree (S1) Bioinformatics program in the ASEAN in 2014. BioInformatics is a field that manages the large amounts of data generated in biomedicine, biotechnology, food science and food technology and many others. Modern BioInformatics does not only look at... [+]

Bachelors in Bioinformatics in Asia 2017. Bachelor in Bioinformatics In an age where big data analysis is integral to successful existing businesses and new entrepreneurial initiatives, the Indonesian International Institute launched the first bachelor degree (S1) Bioinformatics program in the ASEAN in 2014. BioInformatics is a field that manages the large amounts of data generated in biomedicine, biotechnology, food science and food technology and many others. Modern BioInformatics does not only look at genes but has expanded its field to computational biology, proteomics, metabolomics, and most recently microbiomics. BioInformatics at i3L has an integrated classroom to application approach in which the students will apply the knowledge to real life projects either hosted at i3L or at partner institutes. Examples of this are: 1. Phylogenetic analysis of the rich biodiversity of Indonesia both on land (i3L) as well as marine biodiversity (collaboration with the University of Unpatti, Ambon). 2. Novel drug discovery from the rich biodiversity of Indonesia using 3D modeling systems to analyse and predict modification necessary for optimal functionality and reduced side-effects of potential candidates (both i3L as well as in collaboration with LIPI). 3. Genetic screening. In this project we work together with GIS (Genome Institute Singapore) to map out genetic markers of disease. This project is linked to a genetic counseling program introduced by a group of scientist of GIS. However, i3L does not stop here. At i3L our students will be trained to become big data analyst. A mindset that can be applied outside of the biological field. Examples of these elective stream packages are big data analysts in aviation, infrastructure, social media and crowd sourcing. With the fast growing market especially in South-East Asia (39.6% yearly till 2030, McKinsey report 2014) there is a rapidly growing demand of skilled labor in bio-informatics and big data analyst. i3L will provide a career opportunity which will become the backbone of science. Unique Value Points First BioInformatics program at bachelor’s level in the ASEAN Internationally developed curriculum with a strong focus on integration of the triple helix model Internationally trained faculty from both local and international heritage Support of well-established international partners for on-side training of our students Big Data elective streaming packages to prepare our students for non-life science related fields Learning Outcomes 1. Comprehend and apply knowledge in the fields of biology (molecular and cell biology, microbiology, biochemistry), computing, statistics and mathematics to solve bioinformatics problems 2. The ability to use current techniques, skills and tools necessary for bioinformatics practices to identify, analyze and define computing requirements necessary to solve contemporary problems. 3. The ability to apply statistical research methods in the context of molecular biology, genomics, medical and population genetics, proteomics, metabolomics and microbiomics on an individual, society and global level. 4. Demonstrate English oral and written skills to retrieve and communicate scientific information aimed at both non-technical audience and experts in the field of bioinformatics. 5. Motivating life-long learning for the ability to plan, organize and manage bioinformatics projects based on the most recent developments in the field Courses 1st Year Fundamentals of Life Sciences Molecular & Celular Biology General & Organic Chemistry Biostatistics Academic Writing Principles of Food Science and Technology ICT in Life Science General Microbiology Basics of Bioinformatics Principles of Biotechnology & Bioentrepreneurship Scientific Writing & Presentation Skills Biochemistry Principles of Biomedicine Genes & Development 2nd Year Calculus Population Genetics Epidemiology Genomics Linear Algebra Programming in Python Discrete Mathematics Data Mining in Bioinformatics Molecular Evolution Bioinformatics Algorithms I Proteomics Data Structures 3rd Year Metagenomics Probability and Stochastic Processes Transcriptomics Bioinformatics Algorithms II Molecular Phylogenetics Database Management Elective Course 1 Ethics, Civics and Social Responsibility Hypothesis Testing in Phylogenetics Epigenetics Structural Bioinformatics Philosophy of Science Experimental Design Metabolomics and Systems Biology Elective Course 2 4th Year Internship Indonesia: Culture, Language, and Future Biosystematics Business Simulation Current Trends in Bioinformatics Research Elective Course 3 Thesis [-]