Master in
Economics
is based on deep understanding of modern economics and econometrics building on the strength of the faculty. We will provide our students with skills that are marketable in academia as well as in international organizations, private and public companies. The program will focus on providing the most advanced tools in core micro/macro economics, and econometrics; at the same time the students will have a choice of focused and exciting electives, and could also specialize in econometrics.
AVAILABLE CONCENTRATION:
- Econometrics
Master in
Economics
is based on deep understanding of modern economics and econometrics building on the strength of the faculty. We will provide our students with skills that are marketable in academia as well as in international organizations, private and public companies. The program will focus on providing the most advanced tools in core micro/macro economics, and econometrics; at the same time the students will have a choice of focused and exciting electives, and could also specialize in econometrics.
AVAILABLE CONCENTRATION:
- Econometrics
Videos
Student testimonials
Presentation
Programme length
1.5 years (3 semesters)
Language of instruction
English
Conditions of registration
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2020
Contact Information
Master in Economics
- Required courses (48 credits):
- Advanced Econometrics
- Applied Economics Workshop
- Econometrics
- Macroeconomics I
- Macroeconomics II
- Microeconomics I
- Microeconomics II
- Available courses (18 credits):
- International Trade
- Environmental and Development Economics
- International Macroeconomics
- Labor Economics
- Data Driven Impact Evaluation
- Regional Disparities and Urban Economics
- The Statistical Analysis of Time Series
- Machine Learning
Available concentration in «Econometrics»:
- Data Driven Impact Evaluation
- Numerical Optimization and Simulation
- The Statistical Analysis of Time Series
- Master Thesis (24 credits)
Mobility
Professional Prospects
Master in Economics leads to professional opportunities in many sectors, both in Switzerland and abroad, in:
- Private companies
- Public institutions
- Monetary, banking and insurance sectors (Crédit Suisse, Deutsche Bank, Société Général)
- Economic and econometric research institutions
- Organisations internationales (IFC, ILO, HCR)
- Healthcare, national insurance, etc.
Master in
Management
provides students with the knowledge and skills needed to head a business or an organisation as well as with management tools and techniques and their underpinning principles and theories. The programme is designed to train future executives or researchers who have both comprehensive knowledge of business issues and a specialisation in one or more advanced areas of management, such as marketing, strategic and international management, depending on their concentration.
AVAILABLE CONCENTRATIONS:
- Strategic and International Management
- Quantitative Marketing
Master in
Management
provides students with the knowledge and skills needed to head a business or an organisation as well as with management tools and techniques and their underpinning principles and theories. The programme is designed to train future executives or researchers who have both comprehensive knowledge of business issues and a specialisation in one or more advanced areas of management, such as marketing, strategic and international management, depending on their concentration.
AVAILABLE CONCENTRATIONS:
- Strategic and International Management
- Quantitative Marketing
Master in Management
- Required courses in all four concentrations (36 credits):
- Business Law for Corporate Decision Makers
- Corporate Finance
- Leadership
- Management Accounting
- Operations Management
- Responsible Management
- Strategic Human Resource Management
- Strategic Management
- Concentration (24 credits):
Quantitative Marketing:
- Branding
- Consumer Research
- Data Science for Business Analytics
- Data Driven Decision Making
Strategic International Management:
- Change Management
- Global Strategy
- Managing Growth
- Organization Design
- Internship (15 credits)
- Master Thesis (15 credits)
Programme length
1.5 years (3 semesters)
Language of instruction
English
Conditions of registration
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissionsApplications
Deadline: 28 February 2020
Contact information
Mobility
Professional Prospects
Master in
Statistics
focuses on data analysis, methodological problem-solving in a range of disciplines, various types of statistics software or mathematical statistics. The programme is open not only to experts who wish to improve their theoretical skills in statistical research, but also to non-experts who wish to develop their data analysis skills in an area of specialisation acquired at the Bachelor level.
www.unige.ch/gsem/rcs/master
Master in
Statistics
focuses on data analysis, methodological problem-solving in a range of disciplines, various types of statistics software or mathematical statistics. The programme is open not only to experts who wish to improve their theoretical skills in statistical research, but also to non-experts who wish to develop their data analysis skills in an area of specialisation acquired at the Bachelor level.
www.unige.ch/gsem/rcs/masterVideos
Student testimonials
Presentation
Programme length
1.5 years (3 semesters)
Language of instruction
English
Conditions of registration
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2020
Contact information
Master in Statistics
- Required courses (33 credits):
- Generalised Linear and Additive Models
- Mixed Linear Models
- Multivariate Analysis
- Sampling Techniques
- Analytics Consulting
- The Statistical Analysis of Time Series
- Electives (27 credits):
- Advanced statistical inference
- Advanced Topics in Survey Methods
- Discrete Time Asset Pricing
- Econometrics
- Experimental Design: Theory and Practice
- Financial Econometrics
- Introduction to Biostatistics
- Invited Lectures in Statistics
- Machine Learning
- Model Selection in High Dimensions
- Numerical Optimization and Simulation
- Data Driven Impact Evaluation
- Selected Topics in Statistics
- Stochastic Processes in Finance
- Teaching Statistics
+ 10 possible courses outside the faculty
- Master Thesis (30 credits)
Mobility
Professional Prospects
Master in
Business Analytics
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 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
Master in
Business Analytics
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 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
Videos
Presentation
Programme length
2 years (4 semesters)
Language of instruction
English
Conditions of registration
Admission Conditions
As for the Master in Business Analytics, the Scientific Committee may ask the candidates to complete a maximum 12 credits credits co-required Bachelor courses (Business Analytics and Statistical Modelling) during their 1st semester at the Master program.
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2020
www.unige.ch/enrolmentMaster in Business Analytics
- Core courses (1st year) (60 credits):
- Algorithmics and Data Management
- Data Driven Decision Making
- Data Quality and Data Collection Strategies
- Forecasting with Applications in Business
- Creating Value Through Data Mining
- Data-Driven Impact Evaluation
- Technologies and Architectures for Data
- Prescriptive Analytics
- Privacy and Data Protection in the Digital Economy
- Machine Learning
- Analytics Consulting
- Available options (2nd year) (60 credits):
Business (Internship, specialised classes and master's thesis)
Research (Elective courses and master's thesis)
Mobility
The Mobility is only allowed for the "Research" orientation. In order to obtain authorization to undertake an exchange program, student must have validated the first year core courses (60 credits). They may earn up to 30 credits while on exchange. The dissertation cannot be substituted.
Professional Prospects
Master in Business Analytics leads to professional opportunities in many industries in Switzerland and abroad such as:
- Insurance agencies
- Banking and financial sector
- Energy
- Retail
- Manufacturing industry
- Pharmaceutical industry
- NGOs, public and private sectors
- Telecommunication
Master in
Wealth Management
combines a professionally-oriented curriculum with sound theoretical and methodological training. This combination is essential to gain in-depth knowledge of both wealth management and the financial sector in general, and to contribute to their evolution, in particular through research.
The programme is made up of modules which allow students to develop comprehensive knowledge in risk management, selection and evaluation of financial assets, international finance and banking and financial law.
Master in
Wealth Management
combines a professionally-oriented curriculum with sound theoretical and methodological training. This combination is essential to gain in-depth knowledge of both wealth management and the financial sector in general, and to contribute to their evolution, in particular through research.
The programme is made up of modules which allow students to develop comprehensive knowledge in risk management, selection and evaluation of financial assets, international finance and banking and financial law.
Videos
Student testimonials
Presentation
Programme length
1.5 years (3 semesters)
Languages of instruction
English
Conditions of registration
Admission Conditions
Complementary program (1 year) or co-required can be requested.
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2020
Contact information
Master in Wealth Management
- Required courses (36 credits)
- Two Available Concentrations (24 credits):
Concentration Finance:
- Advanced Asset Pricing
- Financial Engineering
- Alternative Investment
- Banking and Finance
- Entrepreneurship and Innovation
Concentration Law:
- Banking Regulation
- Tax and Wealth Planning
- International Financial Law (I and II)
- Electives (12 credits)
- Master or Work Placement Thesis (18 credits)
Mobility
Professional Prospects
Master in
Commodity Trading
offered by the University of Geneva in partnership with the Swiss Trading and Shipping Association (STSA) is a unique programme in Europe. It focuses on the financing of resources, products and trade flows of goods, and includes courses in relevant areas of economics such as credit analyses, financial instruments and means of payment for the different transactions. Shipping, legal aspects, protection of goods and risk management are also addressed. This academic program is linking the theory with a mandatory traineeship.
Master in
Commodity Trading
offered by the University of Geneva in partnership with the Swiss Trading and Shipping Association (STSA) is a unique programme in Europe. It focuses on the financing of resources, products and trade flows of goods, and includes courses in relevant areas of economics such as credit analyses, financial instruments and means of payment for the different transactions. Shipping, legal aspects, protection of goods and risk management are also addressed. This academic program is linking the theory with a mandatory traineeship.
Videos
Student testimonials
Presentation
Programme length
2 years (4 semesters)
Language of instruction
English
Conditions of registration
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2020
Master in Commodity Trading
- Required courses (1st semester) (30 credits):
- Quantitive methods
- Finance and Investment
- Legal Aspects and Regulations
- International Economics and Trade
- Natural Resource Economy and Agri Commodities
- Required specialised courses (2nd and 3rd semester) (42 credits):
- Metals, Ores and Mineral
- Options
- Hedging Tools & Technics
- Shipping, Transport & Logistics
- Energy Oil and Gas
- Energy Renewables
- Types of Financing for Commodity Companies
- Trade Finance for Banking Instruments
- Financial Statements Analysis
- Marine Insurance
- Commodity Price Mechanism
- Commodity Price Risk
- Shipping market
- Sustainable Finance & Business Ethics
- Information Systems/Blockchain
- Requiried Work Placement (30 credits)
- Master Thesis (18 credits)
Professional Prospects
Graduates find work in all sectors both in Switzerland and abroad. Given the nature of the Geneva economy, opportunities are usually found in banking, financial institutions, fiduciaries, consulting firms, insurance agencies, local and international manufacturing, international trade companies (e.g. commodities trading, product distribution), international or global organisations (e.g. ICRC, UNHCR, WTO) and public administrations.