« I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding. » (Hal Varian, from The New York Times, August 5th, 2009). This now-famous quote from the current chief economist at Google and former economics teacher at Berkeley, substantiates, if it needed to be proven, how relevant the teaching at Ensai is, and the excellent job prospects that it gives its graduates.
The Biostatistics specialization is no exception to these perspectives. Indeed, after complementary statistical training, especially in survival data, mixed models and sequential analysis, the courses provide students with the requisite tools for specializing in the experimental field. Courses in epidemiology, clinical trials, and Omics data analysis enable students to acquire a solid basis for health sector applications.
After complementary statistical training, especially in survival data, mixed models and sequential analysis, the courses provide students with the requisite tools for specializing in the experimental field. Courses in epidemiology, clinical trials, and Omics data analysis enable students to acquire a solid basis for health sector applications.
All along the year, students will have to manage different projects. The three main ones correspond to the epidemiology, clinical trials and Omics data analysis courses. They help complement and put into practice the theoretical knowledge seen during classes. These project are also opportunities to develop team spirit by having several students work together.
Crosswise to these teaching units, computer science applications are omnipresent. Professional seminars present the wealth of jobs available in biostatistics. They allow practitioners to present statistical tools or models that are used in businesses and research institutes.
English takes an important place in the cursus. Teachings give forth to writing memoirs in English, and two courses are given in this language.
Students who wish to do so can get ready for a career in research, at businesses inside Research and Development services or in the academic sector. As part of the Learning through Research option (option formation par la recherche, OFPR), these students benefit from a special schedule that allows them to follow the classes for one of these Master's degree in research :
• "Mathematics and Applications" Master's degree in Research, specialty in Mathematic Statistics, jointly offered with Rennes 1 University, Rennes 2 University, ENS Rennes and INSA Rennes.
• "Public Health" Master's degree in Research, specialty in Clinical pharmacology and Epidemiology Modelling, thanks to a convention with Rennes 1 University.
After these studies, students can go on to an academic or Cifre (Industrial convention for learning through research, Convention Industrielle de Formation par la Recherche) thesis.
The specialization benefits from partnerships with proeminent academic actors. These partnerships allow for privileged exchanges, especially for courses, professional seminars and internships.
The pharmaceutical industry, research in health, perfume and cosmetics or food-processing industries are natural orientations for these graduates. Of course, their statistical skills enable them to export their qualifications into other business sectors. We can cite a few tasks that were done by our graduates:
- clinical trials before putting new drugs on the market,
- genotyping data analysis,
- evaluation the consequences of a cosmetic product's use,
- measuring food risks
- evaluation health risks posed by waste disposal,
- new food product analysis (Organoleptic or sensory properties)
For more examples of student's career paths, one can read Ensai communiqués #16and #30-31, which are dedicated to Biostatistics.