Masters Degrees in Mathematics, Switzerland

Biostatistics is the science of analyzing and interpreting biomedical data. As a discipline it is driven by a strong interaction between problems from biomedical research and rigorous mathematical analysis. Complex scientific challenges require the development of new and appropriate statistical methods. Currently such challenges emerge, for example, in environmental and infectious disease epidemiology, personalized and evidence-based medicine and molecular life sciences, especially genomics, proteomics, epigenomics.

The Master Program in Biostatistics of the Univeristy of Zurich is specialized master program, hence it is a useful and direct continuation of a bachelor degree in all fields that include quantitative aspects, e.g. mathematics, physics, biology, computer science etc. Students interested and talented in logical reasoning, quantitative analysis, interdisciplinary science and research in the life sciences in general are suitable candidates for the program.

The program is based on the cooperation between the Institute of Mathematics in the Faculty of Science and the Division of Biostatistics of the Institute of Social and Preventive Medicine in the Faculty of Medicine. This broad basis allows to offer an education which provides graduates besides a classical training in biostatistics with a vast perspective on statistical approaches and challenges in the life sciences. It is the only - to date - specialized program for the training of biostatisticians in Switzerland. The entire program is taught in English.

Applications are expected by September 15 of the previous year for the spring semester and by February 15 of the same year for the fall semester. Single documents that are not available before the application deadline can be filed subsequently. It is recommended to start the program in the fall semester. See the website for necessary documents.

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Our Master in Statistics: the way to develop data analysis & problem-solving skills

Want to develop data analysis & problem-solving skills ? Discover our Master in Statistics and learn how to make data-driven decisions.

We have never produced so much data as we do now. Revealing structures in this data is the goal of a statistical analysis: it requires specific skills to collect, prepare, understand, analyze and leverage data in view of solving complex problems.

Develop this sought-after expertise at the Geneva School of Economics and Management and benefit from our interdisciplinary environment and unique Geneva-advantage.

We welcome students from different backgrounds: not only experts who wish to improve their theoretical skills in statistical research, but also non-experts who wish to develop their data analysis skills in an area of specialization acquired at the Bachelor level.

Career opportunities

The Master of Science in Statistics opens doors to opportunities in various industries: in agrolimentaire industry, international organizations, in (cantonal and federal) statistics offices, in financial companies, biostatistics (in the pharmaceutical industry ) and in many other areas. Finally, the continuation of studies with a doctorate is also an option available to students who have completed the master.

Programme structure

Required courses (33 credits):Generalized Linear and Additive Models, Mixed Linear Models, Multivariate Analysis, Sampling Techniques, Analytics Consulting, Time Series

Electives (27 credits)

Dissertation (30 credits)

The Master programme offers the possibility to do an internship.

Information on past Master thesis can be found on our website.

Application

The application procedure opens every year at the beginning of January.

Applications close on 28 February for all students.

There is only one Master intake in September every year. Attendance is mandatory for admitted students from day one.

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Prepare for an efficient leadership within the digital transformation to create value for businesses and society

At the intersection between data science, statistics and management, Business Analytics consists of using data to inform strategic decision making under uncertainty and to optimise business processes. In the digital economy with the proliferation of data, businesses have understood the tactical and strategic importance of analytics - the learning from data - as a critical field to detect and monitor client behaviours and expectations, or even future market trends.

Business Analytics tries to answer the following questions: "What has happened?" (descriptive analytics), "Why did it happen?" (explanatory or diagnostic analytics), "What will happen?" (predictive analytics) and "What should be done?" (prescriptive analytics). As such, Business Analytics is about bringing the business questions to the data.

Investing in Business Analytics can lead to a substantial competitive advantage, which, in certain sectors, ensures prosperity or even survival. Analytics is also one of the most promising approaches for public authorities who, in terms of transport, energy or public health, are required to manage and leverage the explosion of data to generate greater value for both businesses and society.

Given the increasing importance of "big data" in the economy, GSEM offers a new master program in Business Analytics that provides a wide range of career opportunities. This program responds to the growing need of medium to large organisations to leverage the use of data and to transform data assets into better management decisions.

Objectives

• Support students to manage, analyse and use data in strategic, tactical and operational decision making under uncertainty
• Prepare students for an efficient leadership within the digital transformation to create value for businesses and society
• Bridge the gap between university education and professional needs

Career opportunities

With the proliferation of data and the present lack of analytical talent, students of the Master in Business Analytics will have excellent career opportunities across the globe. The McKinsey Global Institute estimated in 2016 a demand of 2 to 4 million “business translators” that serve as the link between analytical talent and practical business applications in the US economy by 2026. In 2017, the Business Higher Education Forum and PricewaterhouseCoopers projected data science and analytics-related job postings in the US alone to grow from 2.35 million in 2015 to 2.72 million by 2020.

Application

The application procedure opens every year at the beginning of January.

Applications close on 28 February for all students.

There is only one Master intake in September every year. Attendance is mandatory for admitted students from day one.

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