Core Courses
The curriculum includes:
Core Courses: Foundational business management subjects, tailored to the deep tech context (strategy, marketing, finance, operations, and more).
1. Economics for Business Administration
This course deals with an analysis of two of the most important economic units in the economy: businesses and consumers. The aim is to present students with modern economic tools and ways of thinking for formulating, analyzing and solving the decision-making problems of managers, with the intention of broadening their understanding of the economic environment in which the manager functions.
Prerequisites: Math exam
2. Analytic and Statistic Models in Management
Learn the uses of probability and statistics to describe, analyze, and infer data from processes, surveys, and experiments for making managerial and business decisions. Familiarize yourself with an applied approach, understand accepted methods, and learn helpful tools for data analysis to address management and business decision challenges.
3. Managing People and Systems – Micro
Designed to develop a systematic and in-depth reference framework for understanding the nature of organizations, this course takes an evidence-based view that has been subject to rigorous empirical analysis. Informed largely by research in industrial/organizational psychology, this course focuses on both theory and application, with a heavy emphasis on engaging in active learning exercises.
4. Managing People and Systems – Macro
Based on research in economics and sociology, this course will examine the perspective of the overall organizational system and its environment. From understanding the nature of organizations, the behavior of individuals and groups, and the individual, situational and institutional factors affecting both, students will learn about power and politics, network relations, and organizational culture.
5. Financial Reporting and Control in Organizations
Learn the structure of financial statements and gain an understanding of the basic accounting rules that govern financial reporting. Master different aspects of financial statements including current assets, long term assets, liabilities, shareholders equity and cash flows.
6. Strategy for Managers
Understand the importance of strategic planning for the survival, growth and success of companies – focusing on those that are defined as a single business unit rather than corporate strategy. Learn about the difficulties and challenges associated with strategy formation and implementation in changing competitive and uncertain environments.
7. Foundations of Finance
This course delivers the basic concepts of the theory of finance, and its applications to investment and financing problems of businesses. Among the topics covered are the time value of money, valuation of bonds and stock, investment criteria, portfolio theory, valuation under uncertainty (The CAPM model), market efficiency, and implications for capital structure (debt to equity ratio).
Prerequisites: Math exam
Parallel courses: Analytic and Statistic Models in Management
8. Management of Technology and Information
This course focuses on the main features of the organization’s information systems, with the importance of the judicious use of information technology and its effect on crucial decision making. Learn about basic concepts in the area of information systems and the latest information technologies, the impact of technological changes on an existing market, electronic commerce and internet business models.
9. Operations Management
Discover approaches for creating value for organizations, techniques for identifying the relevant catalysts, and the tools for generating value and improving the organization’s performance. This course will cover the value catalysts connected with operations, technology, development, costing, performance measures and sales, with the aim of developing a total-system mindset that integrates marketing, finances and operations.
10. Marketing Management
Aimed at reviewing the field of marketing from a managerial point of view, during the course the marketing language will be presented and will cover the basic concepts and metrics in the field of marketing. The discussion of case studies will be completed from a managerial decision-making perspective and will practice a "how-to" detailed marketing course of action plan.
11. Data Science for Business
This course aims to explain the basic principles in the area of data science, exploring how big data provides business entities with important insights and enables significant improvement of business performance. In contrast to advanced courses in this area, this course focuses not on the algorithms of data science but on the principles and capabilities, as well as the limitations. During this course how to use the R programming software will be taught.
Prerequisites: Analytic and Statistic Models in Management
