The 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
The 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
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2019
Contact Information
The Master in Economics
- Required courses (48 credits):
- Advanced Econometrics
- Applied Economics Workshop
- Econometrics
- Mathematics
- Macroeconomics I
- Macroeconomics II
- Microeconomics I
- Microeconomics II
- Available courses (18 credits):
- International Trade
- Environmental and Development Economics
- International Macroeconomics
- Labor Economics
- Policy and Program Evaluation: Statistical and Econometric Tools
- Regional Disparities and Urban Economics
- Time Series
Available concentration in «Econometrics»:
- Policy and Program Evaluation: Statistical and Econometric Tools
- Numerical Optimization and Simulation
- Time series
- Dissertation (24 credits)
Mobility
Professional Prospects
The 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.
The 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
The 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
The Master in Management
- Required courses in all four concentrations (36 credits):
- Business Law for Corporate Decision Makers
- Corporate Finance
- Data Driven Decision Making
- Management Accounting
- Operations Management
- Responsible Management
- Strategic Human Resource Management
- Strategic Management
- Concentration courses (24 credits):
Quantitative Marketing:
- Branding
- Consumer Research
- Data Science for Business Analytics
- Web Data and Digital Analytics
ou
Strategic & International Management:
- Change Management
- Global Strategy
- Managing Growth
- Management Innovation
- Work Placement (15 credits)
- Dissertation (15 credits)
Programme length
1.5 years (3 semesters)
Language of instruction
English
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2019
Contact information
Mobility
Professional Prospects
The 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
The 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
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2019
Contact information
The Master in Statistics
- Required courses (33 credits):
- Generalized Linear and Additive Models
- Mixed Linear Models
- Multivariate Analysis
- Sampling Techniques
- Analytics Consulting
- 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
- Policy and Program Evalutation: Etatistical and Econometric Tools
- Selected Topics in Statistics
- Stochastic Processes in Finance
- Teaching Statistics
+ 10 possible courses outside the faculty
- Dissertation (30 credits)
Mobility
Professional Prospects
The 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 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
The 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 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
Videos
Presentation
Programme length
2 years (4 semesters)
Language of instruction
English
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
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.
Applications
Deadline: 28 February 2019
www.unige.ch/enrolmentThe Master 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
- Web Data and Digital Analytics
- Technologies and Architectures for Data
- Prescriptive Analytics
- Business Analytics Strategy
- 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
The 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
The 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.
The 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
2 years (4 semesters)
Languages of instruction
French, English
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Complementary program (1 year) or co-required can be requested.
Applications
Deadline: 28 February 2019
Contact information
The Master in Wealth Management
- Basic courses (60 credits):
5 core modules to choose from
Risk Management; Asset Pricing; Financial Engineering; Investments and Portfolio Management; Banking and Financial Stabiliy; Fundamentals of Banking Regulation; Tax and Wealth Planning; International Financial Law; Advanced Legal Aspects
- Electives (27 credits)
- Applied course (3 credits):
- Wealth Management and Law in Practice.
- Dissertation (30 credits)
Mobility
Professional Prospects
The 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 an optional long-term traineeship.
The 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 an optional long-term traineeship.
Videos
Student testimonials
Programme length
2 years (4 semesters)
Language of instruction
English
Admission Conditions
www.unige.ch/gsem/en/programs/masters/admissions
Applications
Deadline: 28 February 2019
The 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 specialized 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
- Accountancy, Control and Auditing
- Marine Insurance
- Commodity Price Mechanism
- Commodity Price Risk
- Shipping market
- CSR and Business Ethics
- 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.