Objectives and competences
Discover the fascinating world of data science!
This course introduces students to the most advanced statistical and computational techniques to allow them to become expert data scientists. They will learn how to filter, analyse and interpret complex data, obtaining crucial information for biomedical research, business decision-making and much more. Participants will master the art of extracting valuable knowledge and become highly sought-after professionals in the industry.
This course introduces students to the most advanced statistical and computational techniques to allow them to become expert data scientists. They will learn how to filter, analyse and interpret complex data, obtaining crucial information for biomedical research, business decision-making and much more. Participants will master the art of extracting valuable knowledge and become highly sought-after professionals in the industry.
Basic information
| Type | Postgraduate courses |
|---|---|
| Certificate | Advanced university course |
| Faculty or school | Facultat de Biologia |
| Branch of knowledge |
|
| Mode of delivery | Distance |
| Credits | 9 |
| Length of course | 1 academic year |
| Language(s) of instruction | English;Spanish |
| Enrolment fee: | First year: 820,00 € An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee |
| In-company placement(s): | No |
| Classes begin: | 02/04/2025 |
| amonleong@ub.edu | |
| Master's degree course homepage | https://www.researchgate.net/profile/Antonio_Monleon-Getino |
| Managment | Monleón Getino, Antonio |
| Open pre-enrolment | No |
| Lead to doctoral studies | No |
| Admission for applicants not holding a degree qualification: | Sí, amb crèdits pendents (10% o menys) |
Objectives and competences
Objectives
- The core function of a data scientist is to extract information from complex datasets that may be useful for research in biological sciences (biology, biotechnology, biochemistry, etc.) and in medicine, and for business decision-making. As science goes into the digital age and continues to join the broader technology industry, the scope of data science needs is increasingly wide.
Data scientists in this emerging space are regularly in charge of dealing with sophisticated problems, such as reducing the burden of repetitive tasks on biologists, biotechnologists, biochemists or doctors; developing platforms for high-performance genomic analysis; identifying new molecular targets for drug discovery; optimizing clinical trial procedures; analysing digital medical data to improve patient care and prevent the progression of a disease, to reduce mortality rates.
- Due to the rapid development of biomedical research, it is necessary to adopt concepts and tools from other areas, such as automatic learning, computational chemistry, engineering, mathematics, physics or biodiversity. The paradigm shift drives many initiatives in the field of life, health and information; among others, precision medicine, value-based healthcare, genomics or biomonitoring. On the other hand, the differences in the industry of life, health and technology tend to favour data scientists who understand the domain and its implicit challenges.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
Bioscience and medical professionals (biologists, doctors, biotechnologists, biochemists, pharmacists, bioengineers, etc.).Access requirements:
- Adequate knowledge of statistics, mathematics and computer science (as in science, medicine or other fields).
- Basic programming knowledge (R, Python, etc).
- An intermediate command of English (Cambridge level B).
- To take the course, students must bring a laptop computer to class, preferably one that uses a Windows or Linux operating system.
Access requirements and conditions
The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.Pre-enrolment
Contact us
Faculty or school where the course is taught
| Address: | IL3 - Universitat de Barcelona C/ Ciutat de Granada 08018 - Barcelona Espanya |
|---|---|
| Email address: | amonleong@ub.edu |
| Webpage: | |
| Telephone: | 34 93 403 96 96 |
| Observations: | Remote classroom of IL3-UB, Mondays and Wednesdays from 4 to 8 pm. |
For further enquiries
| Address: | Antonio Monleón Getino Secció Estadística. Departament Genètia, Microbio i Estadística. Fac Biologia. Avda Diagonal 643 08028 - Barcelona Espanya |
|---|---|
| Email address: | amonleong@ub.edu |
| Webpage: | https://www.researchgate.net/profile/Antonio_Monleon-Getino |
| Telephone: | 678329864 |
| Observations: | see the previous field. |