Double Major in Economics, Entrepreneurship with Data Science

Year I

• Entrepreneurship, Creativity and Innovation - from 0 to 1

  4 Credits

  The course offers students a framework for starting their exploratory journey into the world of entrepreneurship through interactive class discussion and guest lectures. The goal of the course is to acquaint students with the terminology, processes and players in the entrepreneurial eco-system as well as to expose them to various domains in entrepreneurship. The topics that will be covered involve different aspects and challenges of entrepreneurship, idea development and validation, strategy, building a business plan, raising capital and growing a business.
• Computational Thinking and Programming in python

  4 Credits

  The course introduces classical problems and solutions in computer science, and teaches them how to specify, define and implement them using modern programming techniques. The course assumes no prior knowledge or experience in the subject matter and includes an introduction to programming in the Python language. Most of the topics and computing challenges that we will discuss on will be studied in a business context, through case studies in areas such as database management, project management, social networks, supply chain management and customer relationship management. In addition, we will discuss the social, legal and ethical aspects associated with the way in which the designer shapes modern life. For example, we will talk about phenomena like open source, intellectual property, outsourcing, and cloud computing.

   
• Excel for data analysis

  4 Credits

  These days, Excel is a key tool in many professional fields. Working with Excel allows the students to learn and develop a wide range of skills that will be essential in their future professional roles. Thanks to Excel's many capabilities, it is a critical tool in the worlds of economics and entrepreneurship and can enhance analytical skills. The course is designed to provide practical knowledge of Excel, with an emphasis on examples from the fields of economics and entrepreneurship. In the era of "big data," it is important to harness Excel's extensive capabilities, understand the tools available to the user, and determine the most efficient tools to analyze and extract the desired information from massive databases. Students will learn a wide range of tools and gain the ability to integrate these tools to work efficiently and correctly with Excel for purposes such as managing large datasets, data analysis, organizing data, problem-solving, and more.
• Research Methods

  2 Credits

  The course aims to introduce the principles, rationale, approaches, and methods of empirical and theoretical research in the social sciences, focusing on the business and entrepreneurship context. Topics include the fundamentals of the scientific method, inquiry and hypothesis, ethics, validity and reliability, the range of research methods and types of research. In class exercises will be carried out in order to apply the learned material and skills. Two graded assignments and a final exam are required of all students.
• Financial Management & Entrepreneurial Finance

  4 Credits

  This is a first course in corporate finance which is designed to introduce students to the concepts and techniques necessary to analyze and implement optimal investment decisions by managers and entrepreneurs. The course studies the effect of time and uncertainty in decision-making. Topics include discounting techniques, stock, and bond valuation, writing the financial section of a business plan, capital budgeting under certainty and uncertainty, asset pricing models, and capital structure. I believe in a hands-on approach thus the entire course will be taught and implemented with Excel.
• Entrepreneurship and innovation within organization

  2 Credits

  The course focuses on both the barriers and enablers that constrain or facilitate innovation. It does so by giving students the opportunity to practice creative thinking, trend forecasting, strategy formulation, and team management using real organizational problems. This course enables students to identify and practice ways of lifting barriers to unleash innovation and sustain it through individual and team effort and organizational culture. Participants will learn about the antecedents to individual and group creativity, how to construct and manage innovation teams, how to identify innovation constraints in organizational and team cultures, and how to implement new and useful ideas across the organization. Learning is both theoretical and experiential – whatever we learn, we will also implement!)
• Introduction to Data Science

  Credits 4

  This course is designed to provide you with a comprehensive understanding of the fundamental concepts and techniques of data science. Through this course, you will learn how to leverage data to gain valuable insights and make informed decisions. Join us on this journey of discovery and unlock the power of data science.

Year II

• Databases & SQL

  2 Credits

  This course will provide participants with knowledge and practical experience in using databases based on the SQL language. Participants will learn to analyze data requirements, design schemas, build an efficient database, and explore database content.
• Principles of Marketing & Digital Marketing

  2 Credits

  The rapid changes and development of technologies, devices, platforms and channels have transformed our world. Media consumers are changing and with them the tool set used by marketers and advertisers. Media fragmentation, social networks, multi-screen devices, and technology empowered consumers have created new challenges for marketers.  Consumer’s attention is not seized by interruption, but earned by engaging them in a brand’s essence, its blueprint. The course will examine the changes traditional marketing has been going through to adapt to a digital landscape and the impact on marketing advertising and branding strategies. Emphasis will be put on building a brand “story”. Students will be teamed up with existing startups and learn to build a cross platform strategic campaign to meet their growth and marketing challenges. They will understand how to incorporate marketing tools into the process.  Students will gain additional hands on experience by building a Google AdWords' campaign.
• Product Management

  2 Credits

  Product Management is key to the success of any company, and hi-tech companies in particular. The purpose of this class is to teach students the principles of product management and share practical lessons learned over the years. How to identify and articulate a problem, and define the right solution. We will cover a variety of research and validation techniques. The Product Manager Role (Responsibilities and Tasks, B2B vs. B2C) , The PM Ecosystem (Interaction with stakeholders, Working in a large company vs. a startup) , Product Definition , Product Execution and Business Go to Market (Business model and pricing, Messaging and Positioning and Working with Customers and Sales).
• FinTech

  2 Credits

  This course focuses on the intersection of finance, technology, and entrepreneurship. It will provide an overview of the fintech industry and the opportunities it presents for entrepreneurship. With the widespread use of the term "fintech," the course begins by providing a clear definition of the industry as the utilization of technology to improve existing financial services or to create new financial services models and modules. Students will learn about the two broad categories of fintech companies, those that deliver enabling technology to financial services entities and those that use advanced technology to bring innovative financial services to market.
• Legal & Tax Aspects of Entrepreneurial Ventures

  2 Credits

  In this course you’ll learn to understand the language of investors, the concepts of business and finance, and how to build a professional and successful business operation. Together we will explore all the stages of business development: from startup to exit or maturity. Along the way, we’ll learn how to function well with partners and investors, how to manage successful negotiations, business management, financial modeling, risk management and even a bit of business law. The goal of the course is to turn you into effective CEOs, entrepreneurs or investors, within the exciting world of startup ventures. 
• Applied Tools for Entrepreneurs

  2 Credits

  Cluster course, including Ethics for entrepreneurs, Networking, Entrepreneurial Resilience and Coping with Challenges and Failures, Presentation skills and the art of public speaking.
• Machine Learning

  Credits 4

  Practical experience in solving "real-world" data science problems. In this course, participants will become familiar with machine learning algorithms and gain an understanding of the trade-offs involved in addressing data science challenges.
• Fundamentals Of Accounting

  Credits 2

  The purpose of the course is to provide students with general understanding of financial reporting, the structure of financial statements and the accounting and measurement rules. The course will focus on understanding the relevant accounting standards and the four financial statements: The balance sheet, the income statement, the statement of cash flows and the statement of changes in shareholders' equity. We will also learn about the measurement and recognition rules for the main components of the financial statements: assets, liabilities, equity, revenues, expenses and cash flows. 

   
• Vertical Entrepreneurship Course

  Credits X

  Fall Semester:

   

  1. Medical Entrepreneurship and Biotech – This course explores medical entrepreneurship and biotechnology, focusing on the development and commercialization of healthcare innovations. It covers medical devices, digital health solutions, regulatory pathways, healthcare economics, and the integration of technologies such as AI and blockchain. Students learn to evaluate medical startups with attention to technical feasibility, commercialization, and social impact.
  2. Cyber and Software Solutions – The course focuses on cyber and software challenges within organizations. It examines cyber security and SaaS-based software solutions that support core organizational functions. The course addresses key entrepreneurial aspects in both fields, including business models, ecosystem structure, risks, and financial and regulatory issues. The main student project is the planning and development of a relevant venture.
  3. Consumer products entrepreneurship – This course focuses on consumer products, with an emphasis on physical products that increasingly integrate smart technologies. Students examine how consumer products are developed, why certain products changed the market, and the strategies behind their success. The course also involves developing ideas for new consumer products.
  4. Cannabis Tech – This course explores the cannabis market from an entrepreneurial and business development perspective. It follows the evolution of the cannabis industry from its origins to its current local and global markets, examining the value chain from cultivation to pharmaceutical products and prescribed medical use. The course uses the Israeli cannabis market as a case study and reviews established public and private companies operating in the field. The course includes industry perspectives and culminates in a final project focused on initiating, planning, and presenting a business venture related to the cannabis market.
  5. Real Estate Entrepreneurship – This course introduces students to the worlds of PropTech and real estate investment from an entrepreneurial, value creation perspective. It examines how PropTech has transformed real estate and construction, including market structure, barriers, opportunities, and future trends. In parallel, the course covers real estate analysis fundamentals, asset development life cycles, common business models, basic financial analysis, valuation methods, financing, and investment risks and opportunities
  6. Internet, E-commerce, Social and New Media Entrepreneurship – This course explores digital entrepreneurship in the context of the internet, e commerce, social media, and new media. It examines the process of launching digital ventures, key business models, and the integration of digital platforms in real world businesses in Israel and globally. The course also addresses financing strategies, global trends in mobile internet, e-commerce, IoT, and emerging markets, alongside the strategies of major global and Israeli players in the digital economy.
  7. Fashion Tech – This course explores the FashionTech industry and the technological changes reshaping how fashion is designed, manufactured, marketed, and sold. It examines key characteristics of FashionTech, including personalization, new collaborations, marketing channels, and faster financial processes. The course reviews leading players through business theories and current studies and analyzes the entrepreneurial process of launching and building startups in the FashionTech space.
  8. Sport Tech - This course explores the sports tech industry and its recent technological evolution, with a focus on the growing role of Israeli companies in the global market. It examines principles of entrepreneurship and innovation, addressing both intrapreneurship within global companies and entrepreneurship in startups. 

  
  
  

   

   

  Spring Semester:

   

  1. Sustainability and Cleantech Entrepreneurship – This course explores environmental technologies and innovative business models that address global environmental challenges through startup opportunities. Students gain practical experience with executive tools for assessing circularity and the sustainability impact of early-stage ventures.
  2. Founding and Managing Accelerators and VC – This course focuses on the establishment and management of venture capital funds and venture capital investment tools. It examines the venture capital framework from both investor and company perspectives, covering fundraising, valuation, term sheets, due diligence, deal structuring, and exits. The course combines real life cases, guest speakers, and assignments to provide practical insight into venture capital practice.
  3. Impact Entrepreneurship - A vision of a world moving forward, where inequality is reduced, natural resources are regenerated, and people can realize their potential through shared prosperity. A world focused not only on minimizing harm, but on creating measurable good.
  4. The Playtika Gaming Vertical - This course explores the gaming industry, with a focus on Israel’s growing role in the global gaming ecosystem and collaboration with Playtika. It introduces the gaming landscape, key players, ecosystem structure, business models, regulatory and financial aspects, and relevant technologies. The course project involves planning and developing a gaming venture or an organizational innovation project for Playtika.
  5. Pre Acceleration – This applied course is designed for students with an early-stage venture who aim to advance it. Students work individually or in teams to develop their ventures through feasibility testing, ecosystem engagement, investor interaction, pitching, and business plan development. The course is primarily intended for students continuing ventures developed in vertical courses.
  6. Organizational Innovation Through Digitization, AI and Robotics – This course explores how digital transformation, artificial intelligence (AI), and robotics are reshaping industries and driving entrepreneurial and organizational innovation. Through a hands on approach, students examine the impact of emerging technologies on business models, operations, and decision making, using real world simulations, industry insights, and practical applications. The course equips students with tools to navigate technological disruption and leverage digital technologies for business growth and innovation.
  7. The Psychology of Language in Innovation and Entrepreneurship – This course examines the role of language in creativity, communication, and innovation within entrepreneurial ventures. It explores persuasive communication, narrative building, and storytelling for branding, funding, and consumer engagement, alongside cultural linguistics and cross cultural communication. The course also addresses the impact of language on market research and consumer behavior, providing linguistic tools for strategic decision making in entrepreneurial contexts. 
  8. Power and Influence in Innovation and Entrepreneurship – This course examines power and influence in organizations and entrepreneurial settings. It explores sources of power, influence strategies, negotiation, and ethical challenges through case studies and practical applications, with an emphasis on entrepreneurship, leadership, and relationship building

Year III

• User Experience Design

  2 Credits

  User experience (UX) and user interface (UI) are critical elements in product design and can often determine the degree of success or failure of a new venture. One of the toolbox courses.
• Deep Learning

  4 Credits

  We examine different uses in which deep learning algorithms are used to deal with real-life problems that involve combining a large amount of data in different formats.
• Business Intelligence (BI)

  2 Credits

  Business intelligence (BI) as a tool to add business insights and decision making. The course participants will receive diverse applied training, such as collecting data from different sources into one database, refining and handling the data for analysis and interactive visual presentation.
• AI Tools For Entrepreneurs

  2 Credits

  This course explore cutting edge AI tools and their impact on entrepreneurship. Students will learn how to leverage AI for product development, marketing and data analysis, gaining practical skills to launch and manage ventures efficiently. The program emphasizes AI as a resource multiplier for early-stage startups.

Year III Capstone Courses (6 Credits) Yearly Capstone Seminars (final project) Choose one of the following (students need to be accepted to some seminars)

• Capstone Seminar in Data Science, in collaboration with the industry
• Capstone Seminar in Venture Creation
• Capstone Seminar – Venture Capital Track (year-long internship in a VC)
• Case Study Seminar in Entrepreneurship
• Capstone Seminar in Value Creation
• Accelerator Track
• Innovation Research Track
• Game Changers - Playtika
• Personal Research Track

Year I

• Principles of Microeconomics

  This course covers the basic concepts and principles of economic theory at the micro (i.e. decision unit) level. Subjects discussed in this course include the problem of scarcity; the production possibility frontier; demand and supply for products and factors of production; equilibrium in perfect competition; government intervention in markets – taxes, subsidies, price controls, and externalities.
• Mathematics I for Economists

  Functions and limits and their applications: Algebraic operations; Equations; Functions and Graphs; Mathematical computations in economics and business; Limits; Continuity; Derivatives and differentiation techniques; Second order derivatives; Optimization; Graphic description of functions.
• Statistics I for Economists

  Probability spaces, additive principle, probability calculation using Venn diagrams, symmetric sample spaces, combinatorics, conditional probability, Bayes’ formula, product law, independent events. Random variables: General distributions (discrete and continuous), special distributions (discrete uniform, binomial, geometric, negative binomial, hypergeometric, poisson, continuous uniform, exponential, erlang, normal, log-normal, t, F, Chi-square), expectancy and variance, Markov's and Chebyshev's inequalities, joint discrete distributions, conditional discrete distributions, co-variance and correlation, central limit theorem.
• Principles of Macroeconomics

  This course covers the basic concepts and principles of economic theory at the micro (i.e. decision unit) level. Subjects discussed in this course include the problem of scarcity; the production possibility frontier; demand and supply for products and factors of production; equilibrium in perfect competition; government intervention in markets – taxes, subsidies, price controls, and externalities.
• Mathematics II for Economists

  Advanced Functions and linear algebra: Global minimum and maximum of single variable functions, including optimization problems. Study of logarithmic and exponential functions. Differentiation of functions represented by implicit equations. Multivariable functions, partial derivative (and it's meaning as marginal function), critical points and graphs of double variable functions. Solving optimization problems using Multivariable functions. Using the Lagrange multipliers method to solve constrained problems. Matrices and Gauss-Jordan elimination. Integrals and application of.
• Statistics II for Economists

  Point estimation, Unbiased estimator and maximum likelihood estimator, Simple linear regression and the Least Squares estimators, Confidence Intervals (CI) for proportion and difference between proportions, for mean and difference between means when the samples are large and small and when the variance is known (normal distribution) and unknown (t distribution). Hypothesis testing: General scheme, one-tailed and two-tailed tests, type I and II decision errors, level of significance and power of test, testing in the normal models (and in particular t tests and F tests), Chi-square tests for goodness of fit and for independence between variables.
• Microeconomics I: Economic decision - Making: Consumers and Producers

  Tools for use in Microeconomic analysis, with some public policy applications. Theory of
  consumer demand, theories of the firm, market behavior, welfare economics, and general
  equilibrium. Prerequisite: MATH 1 and taking Math 2
• Introduction to R

  This course deals with using the R language to process data and produce figures. The
  acquired knowledge witll be of immediate use to the students in follow-up courses such
  as Econometrics. Morevoer, R is one of the world's leading platforms for data analysis. It's
  free, easy to use and comes with hundreds of useful data processing commands out-ofthe-box for anyone, be it students making their first steps in the data analysis realm or
  cutting-edge researchers in practically all sciences. R's true power derives from its open
  source and thousands of packges written for it by outstanding data professionals, each in
  their own field

Year II

• Introduction to Econometrics

  Econometrics empirically investigates a wide range of economic relationships that are seldom met by the statisticians’ standard assumptions. Econometricians use and develop techniques suited to meet the complex process of analyzing real world non experimental data. Econometrics, an essential tool for modern economists, is widely used in industry and academics alike. In this course, we would develop an introductory yet rigorous appreciation of the subject.
• Macroeconomics II

  This course explains two of the most fundamental features of macroeconomics: Classic
  theory (long-run), economic growth (the economy is the very-long run) and economic
  fluctuations above and below the long-run trend (the economy is the short-run).
  Students will be introduced with the basic Solow model and some preliminary insights of
  endogenous growth models. The short run analysis will address closed economy (IS-LM
  model) and open economy (Mundell-Fleming) under the assumption that prices are fixed
  in the short run. We will explore fiscal policy and monetary policy under each option.
• Microeconomics III - Information, Market Power ,and Game Theory

  The course objectives are to provide students with a theoretical framework to study and analyze markets under
  conditions of asymmetric information and limited competition - monopoly and oligopoly.
  To provide students with an understanding of the economic forces that affect the market
  outcome under the conditions of asymmetric information and limited competition.
  Specifically, how these conditions affect the efficiency of free markets and how the
  government can intervene to mediate market failures.
• Applied Econometrics

  In this course we lift some of the multiple regression model basic assumptions, and develop the appropriate estimation and inference techniques. In particular, we will study the cases of heteroskedasticity and of endogeneity. We will also expand the multiple regression model to properly analyze time series data. We will work with data, implementing in Stata what we learn in lectures.
• Microeconomics II- Efficiency, Markets, and Market Failures

  In the course, we will analyze the behavior of economic agents (consumers and firms)
  given the prices of inputs and outputs in the market. We will study how prices, production,
  and consumption, are set in competitive markets. We will examine the outcomes of
  competitive markets from a normative perspective, i.e., we will explore when competitive
  markets result in socially desirable outcomes and means of intervention to improve the
  economic outcomes when they do not.
• Macroeconomics I

  This course is about the basic components of a macroeconomic model. We will discuss
  issues related to consumption, investment, the labor market, and production, and use
  these models to present and discuss some of the basic question in macro. The first few
  weeks will be dedicated to learning the basic modeling tools. We will then apply these
  .tools to issues of economic growth, fluctuations, and fiscal policy
  .The approach in this course is to build the foundations from microeconomic principles
  As such, our “building blocks” rely on firms and household optimization, government
  spending and taxation, and the interaction between them. We will analyze the labor
  market and the market for goods separately, and then look at a general equilibrium.
  Towards the end of the term, and if time permits, we will discuss productivity - a key
  .determinant of long term growth
  As we progress, we will take various "detours" and consider extensions of these basic
  building blocks in order to present and discuss some modern research in macro. Where
  possible, we will try to connect the subjects to recent and current events.
  This course requires analytical thinking and calculus. Therefore, we will occasionally
  .refresh your knowledge of derivatives, optimization, log rules, etc

Year III

• Applied Economics

  The main goal of this course it to teach the students to connect between the theories
  taught during their studies and the empirical applications of economic and social policy.
  The series of lectures will connect between the theory and practice using academic
  analysis and critical analysis (not necessarily negative) of the suggested policy. In each
  one of the subject that we learn we will include a policy document. Part of these
  documents will include recommendation of committees in subject of social and
  economics. The students should evaluate the suggested policy in accordance with its
  goals. In addition to the individual work in this course, the students will be assigned to
  groups of discussion and appraisal. Each group will present a 35 minutes presentation of
  detailed discussion of the positive and negative aspects of the suggested policy. You will
  need to use the tools and material that you acquired in previous courses in economics.
• Writing Economic Policy Papers

  The goal of the course is that the student will learn to write a policy paper that requires
  professional economic analysis. It is the paper in which you will combine all the topics
  that you learned throughout your degree