The Double Major program in Entrepreneurship and Economics with Data Science provides a multi-dimensional understanding of the global economy and the business world, while giving the students hands-on knowledge to start their own business or startup, a knowledge which is taught both by academic experts as well as industry specialists. The Data part of the degree provides the students with unique data analysis and programming skills. The graduates of this program have superb quantitative and analytical skills as well as leadership skills which allow them to excel in the private and public sector.
Double Major in Economics and Entrepreneurship with Data Science
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Preparatory Courses
Brochure
Faculty
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Program Highlights
- The program follows the unprecedented success of the entrepreneurship programs at Reichman University, among them the Zell Entrepreneurship Program, the Media Innovation Lab (miLAB), and the RU Entrepreneurship Club (IEC).
- The program will provide students with practical tools and skills for building for designing a business plan with the guidance of leading mentors from the Israeli startup community, entrepreneurs and investors.
- This program offers comprehensive studies in entrepreneurship, economics, and data analysis.
- As part of the Data Analysis courses, the students will learn programming and data analysis. No prior programming knowledge is required.
- A significant portion of the coursework involves practical assignments, group projects, and student presentations.
- Students also participate in enriching extra-curricular activities, including meetings with senior industry managers, industry tours, and hackathons.
- In their third year, students undertake a practical project in collaboration with industry partners.
- The degree in economics provides students with professional expertise in investment theory, finance, and industrial economics. Beyond this, the study of economic models enhances language proficiency and managerial skills. Economists learn to anticipate future financial trends and develop critical thinking abilities.
- Alumni of the Economics & Entrepreneurship with Data Science often secure positions in the hi-tech and fintech sectors, frequently beginning their careers while still in the program.
HONORS PROGRAMS
The Honors Program of the Adelson School of Entrepreneurship is intended for students with excellent admission qualifications (matriculation, psychometric scores, exceptional military or civilian background) who wish to cultivate their leadership and management skills in the fields of entrepreneurship and innovation.
For more details click here.
Selected Courses from the Program:
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Year I
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3 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.
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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.
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3 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.
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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.
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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.
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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!)
Year II
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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.
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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).
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4 Credits
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.
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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.
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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.
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3 Credits
- Real Estate Entrepreneurship
Real Estate Entrepreneurship - Lecturer Mr. Ziv Shor
The course will expose students to the real estate investment world and taught from the perspective of the entrepreneur aimed for value creation. During the course we will review different asset types, the real estate development life cycle, basic financial analysis, valuations methods, financing and the risks and opportunities that come with it and typical business models.
- Internet & New Media Entrepreneurship
Internet & New Media Entrepreneurship – Lecturer Mr. Eran Wagner.
The entrepreneurial process is complex and includes many elements, from idea to the different ingredients of execution. In this course we will try to examine high-tech entrepreneurship in the digital realm and understand its unique characteristics while focusing on basic concepts and their implementation in real businesses in Israel and globally.
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Consumer Products Entrepreneurship – Lecturer Mr. Gil Lemel
In recent years more and more consumer products have become increasingly ‘smart,’ but nonetheless these are items we can physically hold in our hands. Such products include smart water bottles, digital cameras that can think, and head bands with sensors that monitor the change in the IQ of students during their studies. During this course students gain an understanding of the rules of the game in the consumer products field, examine why and how certain consumer products changed the world (strategy and tactics), and attempt to develop ideas for new products.
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CannabisTech - Lecturer Mr. Omer Zerahia
In the course, The Cannabis Market - Entrepreneurship and Business Development, which is the first cannabis course of its kind at Reichman University, we will follow the story of this growing market from its origins to its current status, locally and globally. We will review the incarnations of the Cannabis plant in various territories over the years, diving into the business value chain created around it, from the plant's cultivation stage, through its pharmaceutical products to its supply as a prescribe drug for patients . The final thesis of the course will include initiating, planning, and presenting a business project related to the Cannabis market.
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The Playtika Gaming Vertical - Lecturer Mr. Yariv Lissauer.
Sponsored by Playtika.
The course will cover the following subjects: introduction to gaming, structure of the ecosystem in the world of gaming and its main players (organizations and people) in Israel and the world. Types of entrepreneurship in the field of gaming, business models accepted and developed in the world of gaming, regulatory aspects, financial issues and fundraising, relevant technologies in gaming (existing and developing), and more.
- Real Estate Entrepreneurship
Year III
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1 Credit
The course will combine a mix of didactic teaching of theory and research with experiential exercises and technique development, in order to understand the relationship between failure and success and to develop tools to manage inevitable hurdles. Using theoretical and practical ideas from the psychology of wellbeing, the course will culminate in developing the essential life principles of resilience and grit.
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1 Credit
The course reviews challenges of maintaining a moral compass while trying to make your venture a unicorn. The course will try to define ethics frameworks through interactive discussions and guest lectures. The goals of this course are to familiarize students with real life dilemmas, the inability of the law to set clear borders and players which are affected by decisions made in the entrepreneurial ecosystem. Course topics include ethics in artificial intelligence (AI), privacy and user data aspects, competition effect on ethics, and ethics of venture capital and fundraising.
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2 Credits
Social network analysis is a network research process, in which mathematical tools are used, mainly from theory
The graphs, for analyzing the social network. This is a field of research that characterizes networked structures in terms of node
Nodes, which represent the members of the social network, and Edges, which represent the paths of information traffic
and the interactions between them. Quantitative and qualitative tools for network analysis will be presented in the course.
The course will deal with the main topics of social network research, and in particular social network analysis
based on mathematical tools from graph theory and linear algebra. -
3 Credits
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.
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3 Credits
In this course we will discuss behavioral economics concepts and the psychological approach to decision making., and how can we use these concepts to our advantage and create better outcomes for our business? Now more than ever, it’s critical for product organizations to know the science underneath human behavior and how to apply it. In a competitive and crowded space, Behavioral Design is crucial for both user and company success. We will learn different biases and discuss how to use behavioral science in ways that maximize the benefit for both the user and the business.
Year III Capstone Courses (6 Credits) Yearly Capstone Seminars (final project) Choose one of the following (students need to be accepted to some seminars)
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Year I
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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. -
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. -
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.
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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. -
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
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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. -
This seminar aims to provide students with advanced academic writing skills in
preparation for writing a policy paper. Students will learn the norms of academic writing
by reading and analyzing different types of academic and professional texts, with a focus
on policy papers. Students will learn to map, summarize, and synthesize information from
different sources and present this information critically. Class meetings include the
presentation of theoretical material, practical exercises, and a writing workshop.
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More about the Program
Why Study at Reichman University?
For the entire list of courses please refer to the Student Handbook
*In most undergraduate programs, students are required to take general elective courses as part of their curriculum, and can also choose elective courses from other undergraduate programs at Reichman university.
**Reichman University reserves the right to cancel, alter, or expand the academic programs and courses offered.
Testimonials
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Camille Sharon
This degree strikes the perfect amount of challenge and has broadened my perspective on numerous subjects. Aside from the insightful classes, the environment and community inspire and motivate me further toward continuous personal growth.
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Eitan Engelberg
The Economics and entrepreneurship with data science degree has allowed me to combine analytical thinking and exposure to startup and innovation scene. With endless opportunities and phenomenal peers I look forward to where this program and Reichman university takes me!
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Liby Noachas
Studying economics and entrepreneurship with data science at RUNI introduced me to a thriving field with global impact. Interacting with diverse individuals enriched my learning experience, making my time truly rewarding!
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Yarden Guz
The Economics and Entrepreneurship degree has given me a unique set of skills and allowed me to connect with a network of amazing people!
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