Master Bioinformatics and Functional Genomics
2nd level vocational master
A.Y. 2022/2023
Study area
Medicine and Healthcare
Master Coordinator
This Master programme has been designed for those who intend to take an advanced bio / IT approach to Computational sciences, statistics, and maths, to provide responses to complex biological questions. The course will tackle general principles of biology and biotechnology, with a specific focus on the most recent theoretical aspects and technological advancements, and will attempt to demonstrate how Next Generation Sequencing and other advanced experimental approaches might provide more accurate and targeted responses thanks to their ability to analyse and connect data through sophisticated bio-IT techniques.
This programme intends to instil students with an essential understanding of the mathematical and statistical concepts used to interpret and analyse data. These tools will be used individually or collectively to analyse various types of data already available across various databases.
Students will develop their skill-set to manage and analyse raw data, using the most modern programming languages for data science, and taking advantage as needed of technologies based on ?cloud computing?. Students will gain a foundation in data visualisation, and techniques for developing web-based applications.
Legal aspects and ethical considerations regarding data analytics will be discussed as well.
This programme intends to instil students with an essential understanding of the mathematical and statistical concepts used to interpret and analyse data. These tools will be used individually or collectively to analyse various types of data already available across various databases.
Students will develop their skill-set to manage and analyse raw data, using the most modern programming languages for data science, and taking advantage as needed of technologies based on ?cloud computing?. Students will gain a foundation in data visualisation, and techniques for developing web-based applications.
Legal aspects and ethical considerations regarding data analytics will be discussed as well.
To be eligible for the programme, students must hold a master's degree in any of the following classes under former Ministerial Decree no. 270/2004: LM-6 Biology; LM-7 Farm Biotechnology; LM-8 Industrial Biotechnology; LM-9 Medical, veterinary, and pharmaceutical biotechnology; LM-13 Pharmacology and Industrial Pharmacology; LM-17 Physics; LM-18 Information Technology; LM-21 Biomedical Engineering; LM-29 Electronic Engineering; LM-32 Computer Engineering; LM-40 Mathematics; LM-41 Medicine and Surgery; LM-44 Mathematical-physical modelling for engineering; LM-54 Chemistry; LM-60 Natural Science; LM-69 Farming Sciences and Technologies.
By the end of the Master?s degree programme, students will have acquired a high level of technical acumen in the field of bio-informatics, basic and industrial research, and have acquired analytical skills typical of data scientists and designers. These skills will transfer into a variety of fields, from academia to a clinical setting, from biotechnology to the pharmaceutical industry.
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale
IFOM - the FIRC Institute of Molecular Oncology
Via Adamello 16, 20139 Milan, Italy
[email protected]
Courses list
Open sessions
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Algorithms and Data Organization in Bioinformatics Analysis | 1 | 8 | English | |
| Computational Applications of Structural Biology | 2 | 32 | Italian, English | |
| Computational Biology | 2 | 18 | English | |
| Computational Tools and Systems Management | 1 | 20 | English | |
| Computational Tools for the Analysis of Proteomic Data | 1 | 12 | English | |
| Data Integration and Visualization | 3 | 48 | English | |
| Database for Biological Analyses | 2 | 12 | English | |
| Elements of Programming with Bioinformatics/data Science Libraries | 3 | 48 | English | |
| Foundations of Proteomics, Methods and Technologies for Analysing Qualitative and Quantitative Proteomics | 1 | 6 | English | |
| From Genetics to Precision Oncology | 2 | 16 | English | |
| From Molecular Biology to Functional Genomics | 3 | 24 | English | |
| Introduction to It | 2 | 16 | English | |
| Legal and Ethical Aspects of Science and Technology | 1 | 8 | English | |
| Network Analysis and Gene Enrichments | 2 | 42 | English | |
| Next Generation Sequencing | 4 | 32 | English | |
| Next Generation Sequencing Data Analysis | 4 | 64 | English | |
| Statistical Analysis of Omic Data | 3 | 28 | English | |
| Statistics/machine Learning/data Mining | 2 | 32 | English | |
| Structural Biology | 2 | 16 | English | |
| Techniques and Programming Tools for Image Analysis | 2 | 22 | English | |
| Theory of Image Analysis and Microscopy | 1 | 8 | English | |