Do you like biology and mathematics? Are you fond of programming?
Then pay attention to the profession of the future - Biocomputing, which will open up wide career prospects for you.
Code 6B06114
Modern diagnostic and research methods lead to an increase in the amount of scientific data, which is very difficult to process manually. In this case, Biocomputing (Bioinformatics) comes to help. It appeared in the second half of the XX century as an interdisciplinary science. Biocomputing uses elements of applied mathematics, statistics, computer science, mathematical and computer modeling and programming.
The profession is new and quickly developing and in the future it will develop even more rapidly, because the use of computational methods guarantees high accuracy, speed and excludes the human factor. Biocomputing technologies are needed in biochemistry, biophysics, ecology, pharmacology, agriculture, genetics and other spheres.
Features of the Profession
Biocomputing (Bioinformatics) lies at the intersection of Medicine, Biology, Applied Mathematics and Computer Science. The responsibilities of people who have chosen this profession include solving global problems such as:
- search for methods of treatment of cancer, chronic and autoimmune diseases;
- extending the life of the population, improving the ecological situation and searching for the longevity genome;
- development, planning, implementation of mathematical methods, algorithms and programs used for the analysis of medical and biological information;
- application of the obtained research and practice results.
Advantages of Biocomputing
- All doors are open for specialists in Biocomputing - from domestic research centers to respectable international IT companies.
- Specialists in Biocomputing do not directly interact with patients or biological material as they use mathematical methods and computer programs for work.
- Knowledge of programming languages and the basics of applied mathematics allow specialists in Biocomputing to easily switch to another professional segment - for example, classic programming, software development and testing.
- Continuous self-development and improvement of professional skills.
- The ability to analyze data sets, knowing that the results of work in the long term will save the lives of thousands of people.
Major Courses:
- Object-oriented Programming in C ++
- Data Science: Introduction
- Introduction to Programming Languages
- Databases and Client/Server Applications (SDP 6)
- Molecular Biology
- Bionics
- Mathematical Methods for Biological Processes Modeling
- Machine Learning (Artificial Intelligence)
Leading Positions
Specialist in Biocomputing
UNT Mathematics Physics