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B.Sc. Economics & Data Science
The Department of Economics is typically a part of a university or academic institution, focused on the study of production, distribution, and consumption of goods and services. It encompasses various fields such as microeconomics, macroeconomics, econometrics, and economic theory. These departments offer undergraduate, graduate, and sometimes doctoral programs, preparing students for careers in academia, government, business, and other sectors.
Departments of economics typically offer a range of courses covering various topics such as:
- Microeconomics: Examining individual economic agents such as consumers, firms, and markets, and analyzing their behavior and interactions.
- Macroeconomics: Studying the aggregate behavior of an economy, including topics like inflation, unemployment, economic growth, and fiscal and monetary policy.
- Econometrics: Applying statistical and mathematical techniques to analyze economic data and test economic theories.
- Economic theory: Exploring foundational concepts and models used to understand economic phenomena, such as supply and demand, utility theory, game theory, and general equilibrium theory.
- Applied economics: Investigating real-world economic issues and problems, such as environmental economics, labor economics, development economics, and international trade.
In addition to coursework, economics departments often engage in research activities, producing academic papers, reports, and policy recommendations. They may also host seminars, conferences, and workshops to foster intellectual exchange and collaboration among faculty, students, and visiting scholars. Furthermore, economics departments may have ties to research centers, institutes, or think tanks focused on specific economic issues or policy areas.
Course Structure
Learning takes place through a combination of face-to-face teaching and independent study, including lectures, practical tutorials, laboratory sessions, personal development sessions, real-life project briefs and case studies.
Students study 60 ECTS credits per year. The structure of the course is a subject to change by feedback received from a variety of sources.
| First Year | ||||
|---|---|---|---|---|
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 1 | ECON101 | Microeconomics 1 | Core | 6 |
| HASS101 | Academic and Communication Skills 1 | Core | 6 | |
| DSG101 | Creative Thinking and Design | Core | 6 | |
| MATH111 | Calculus 1 | Core | 6 | |
| HASS100 | First Principles of NewUU | Core | 6 | |
| Semester 2 | ECON102 | Macroeconomics 1 | Core | 6 |
| HASS111 | Academic and Communication Skills 2 | Core | 6 | |
| MATH130 | Statistical Methods | Core | 6 | |
| MATH211 | Calculus 2 | Core | 6 | |
| CS100 | Information Systems and Digital Technologies | Elective | 6 | |
| Total Credits | 60 | |||
| Second Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 3 | ECON202 | Macroeconomics 2 | Core | 6 |
| MATH201 | Linear Algebra | Core | 6 | |
| CS102 | Computer Programming 1 | Core | 8 | |
| FINA201 | Financial Accounting | Elective | 6 | |
| ECON221 | Contemporary issues in Economics | Elective | 6 | |
| Semester 4 | MATH232 | Probability and Statistics | Elective | 6 |
| ECON201 | Microeconomics 2 | Core | 6 | |
| ECON231 | Economic and Social Statistics | Core | 6 | |
| ECON212 | Energy Environmental Economics | Core | 6 | |
| HASS110 | History of Uzbekistan | Core | 4 | |
| CS30 | Introduction to Data Science | Elective | 4 | |
| Total Credits | 64 | |||
| Third Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 5 | ECON330 | Circular Economy | Core | 6 |
| MGT101 | Principles of Management | Core | 6 | |
| ECON315 | Game Theory for Economics | Elective | 6 | |
| ECON301 | Econometrics | Elective | 6 | |
| CS210 | Computer Programming 2 | Elective | 8 | |
| Semester 6 | ECON351 | Research Methods in Economics | Core | 6 |
| ECON311 | Money and Banking | Elective | 6 | |
| HASS305 | Philosophy | Elective | 6 | |
| ECON302 | International Trade | Elective | 6 | |
| CS331 | Introduction to Machine Learning | Core | 6 | |
| Total Credits | 62 | |||
| Fourth Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 7 | ECON460 | Mathematical methods for Economic analysis | Elective | 6 |
| CS111 | Algorithms & Data Struсtures | Core | 6 | |
| ECON402 | Development Economics | Core | 6 | |
| ECON490 | Research project 1 (Capstone) | Core | 6 | |
| ECON470 | Time Series Analysis | Core | 6 | |
| Semester 8 | ECON491 | Research project 2 (Capstone) | Core | 6 |
| HASS200 | Communications Ethics | Elective | 6 | |
| ECON410 | Behavioral Economics | Elective | 6 | |
| CS301 | Fundamentals of Databases | Core | 6 | |
| ECON420 | Economic Policy | Elective | 6 | |
| Total Credits | 60 | |||
| Program's Total Credits | 246 | |||
Course Descriptions
| Course Code | Course | ECTS Credits | Description |
|---|---|---|---|
| ECON101 | Microeconomics 1 | 6 | This course delves deeper into microeconomic concepts, covering topics such as production theory, cost analysis, perfect competition, monopoly, oligopoly, and factors affecting resource allocation. |
| HASS101 | Academic and Communication Skills 1 | 6 | This course is designed to help students improve their English language skills at an intermediate level. It focuses on developing speaking, listening, reading, and writing skills using materials from National Geographic Learning and Cengage Learning. |
| DSG101 | Creative Thinking and Design | 6 | This course is designed to cultivate creative thinking abilities and enhance study strategies, presentation skills, enabling students to communicate their ideas effectively and innovatively. In today's dynamic world, creative problem-solving and persuasive communication are essential skills for personal and professional success. This course combines theory and practical exercises to develop both the creative mindset and the ability to articulate ideas persuasively. |
| MATH111 | Calculus 1 | 6 | This is the first course from a sequence of 3 calculus courses. It deals with limits, continuity, differentiation and integration, applications of the derivative to determine the shape of graphs, evaluation of limits by the L’Hôpital Rule, finding the maximum and the minimum values of functions along with the problems of finding rates. The course ends with the introduction of indefinite and definite integrals, integration by parts, u-substitution, trigonometric substitution, integration of rational functions, improper integrals and applications to area problems. |
| HASS100 | First Principles of NewUU | 6 | This course equips first-year students with the knowledge, skills, and attitudes necessary for success in higher education at New Uzbekistan University (NEWUU). It introduces students to the role and purpose of higher education, university governance, and academic policies, while fostering information literacy, academic integrity, and ethical reasoning. Through weekly themes, students will practice time management, effective study strategies, reading and note-taking, as well as develop critical, analytical, and creative thinking skills. The course also emphasizes digital literacy and responsible engagement with emerging technologies such as AI, alongside communication, teamwork, and intercultural competence. By exploring NEWUU's academic programs and career pathways, students will be encouraged to connect their studies with long-term personal and professional goals. Ultimately, the course integrates foundational knowledge of institutional expectations with transferable skills in problem-solving, innovation, and communication, preparing students for responsible, resilient, and successful participation in academic and societal life. |
| ECON102 | Macroeconomics 1 | 6 | Explores macroeconomic principles and theories, including national income determination, unemployment, inflation, fiscal policy, and monetary policy, and their impact on overall economic performance. |
| HASS111 | Academic and Communication Skills 2 | 6 | This course is designed to help students improve their English language skills at an intermediate level. It focuses on developing speaking, listening, reading, and writing skills using materials from National Geographic Learning and Cengage Learning. |
| MATH130 | Statistical Methods | 6 | This course introduces essential concepts and methods in statistics, equipping students with the tools to collect, organize, analyze, and interpret data effectively. Topics include descriptive statistics, probability, discrete and continuous distributions, estimation, hypothesis testing, correlation, and regression. Emphasis is placed on critical thinking, statistical literacy, and the practical application of methods to real-world problems. Students will learn to use statistical tools and software to visualize data, make inferences, and draw meaningful conclusions while identifying common pitfalls and ensuring proper sampling techniques. This course provides a foundational understanding of statistics suitable for various academic and professional fields. |
| MATH211 | Calculus 2 | 6 | This is the second course from a sequence of 3 calculus courses. It deals with numerical series and sequences, parametric equations and polar coordinates, scalars functions of several variable and double integrals. Special focus on tests convergence/divergence of series and optimization. |
| CS100 | Information Systems and Digital Technologies | 6 | Information Systems & Digital Technologies is a dynamic course designed to provide students with a comprehensive understanding of the intersection between information systems and digital technologies in today's rapidly evolving business environment. This course explores how organizations utilize digital technologies to manage information effectively, enhance decision-making processes, and drive innovation.Throughout the course, students will engage in lectures, discussions, hands-on activities, and projects to deepen their understanding of information systems and digital technologies concepts and practices. By the end of the course, students will be equipped with the knowledge and skills needed to leverage digital technologies effectively to address business challenges and opportunities in a globalized digital economy. |
| ECON202 | Macroeconomics 2 | 6 | Expands on the concepts introduced in Macroeconomics 1, delving into more complex macroeconomic issues such as economic growth, international trade, exchange rates, and global financial markets. |
| MATH201 | Linear Algebra | 6 | This course provides an introduction to fundamental concepts in linear algebra, including solving linear systems using Gauss-Jordan elimination and other methods, matrix operations, and linear transformations. Students will explore inverse matrices, image and kernel, basis and dimension, and coordinate representations in vector spaces. The course covers orthonormal bases, the Gram-Schmidt process, QR factorization, determinants, eigenvalues, eigenvectors, and matrix diagonalization. Applications to dynamical systems, including complex eigenvalues, will also be discussed. Through theoretical study and practical exercises, students will develop problem-solving skills essential for various fields. |
| CS102 | Computer Programming 1 | 8 | Introduction to Programming with C++ is a foundational course designed to provide students with a comprehensive understanding of programming concepts and techniques using the C++ programming language. This course serves as an entry point for students interested in pursuing further studies in computer science, software engineering, or related fields. Through a combination of lectures, hands-on programming exercises, and projects, students will develop essential programming skills and problem-solving abilities.Throughout the course, students will work on programming assignments and projects to apply the concepts learned in class. These assignments will progressively increase in complexity, allowing students to build their programming skills and confidence. By the end of the course, students will have a solid foundation in programming with C++ and be prepared to tackle more advanced topics in computer science and software development. |
| FINA201 | Financial Accounting | 6 | This course offers a comprehensive introduction to the principles and practices of financial accounting. It covers key topics such as recording financial transactions, accounting for inventories, property, plant, and equipment, preparing financial statements, and analyzing financial data to support informed decision-making. Balancing theory with practice, the course develops students’ ability to record, summarize, and report financial information in accordance with International Financial Reporting Standards (IFRS). Case studies and practical exercises are incorporated to strengthen the application of concepts in real-world contexts. Students will also explore the role of financial accounting in communicating a company’s financial position and performance to stakeholders, including investors, creditors, and regulators. By the end of the course, students will have the knowledge and skills to apply financial accounting principles in academic, professional, and practical settings. The course also provides a strong foundation for advanced studies in accounting and related financial disciplines. |
| ECON221 | Contemporary issues in Economics | 6 | This course examines current economic challenges and policy debates through the lens of economic theory and empirical analysis. Topics may include globalization, income inequality, labor market dynamics, technological disruptions, environmental sustainability, and financial stability. Students will develop critical thinking skills by evaluating real-world economic issues, interpreting data, and assessing policy responses. Emphasis is placed on ethical considerations, global perspectives, and the role of economic institutions in shaping contemporary outcomes |
| MATH232 | Probability and Statistics | 6 | This comprehensive course in Probability and Statistics introduces fundamental concepts and analytical methods with a focus on real-world applications. It is structured to provide students with a deep understanding of statistical reasoning, data analysis, and predictive modeling, emphasizing the application of these concepts across various engineering disciplines. Through a combination of theoretical lectures, hands-on tutorial sessions, and computer-based exercises using Python, students will explore topics including descriptive statistics, probability theories, discrete and continuous distributions, hypothesis testing, regression analysis, and nonparametric methods. The course is designed to foster analytical thinking, problem-solving skills, and proficiency in statistical software, preparing students for data-driven decision-making in their respective fields. |
| ECON201 | Microeconomics 2 | 6 | Builds upon the fundamentals learned in Microeconomics 1, examining advanced topics such as game theory, asymmetric information, externalities, public goods, and welfare economics. |
| ECON231 | Economic and Social Statistics | 6 | This course introduces the fundamental statistical methods used in economic and social analysis. Topics include data collection, descriptive and inferential statistics, probability distributions, hypothesis testing, regression analysis, and statistical software applications. Emphasis is placed on interpreting data to inform economic and policy decisions, with real-world applications in labor markets, income distribution, public policy, and business analytics. Students will develop quantitative reasoning skills and ethical considerations in data analysis to support evidence-based decision-making |
| ECON212 | Energy Environmental Economics | 6 | Explores the economic dimensions of environmental issues, including pollution, natural resource depletion, climate change, sustainability, and policy approaches to address environmental challenges. |
| HASS110 | History of Uzbekistan | 4 | This course introduces foundation year students to the basic concepts and principles of history, in particular contemporary of Uzbekistan. The course is to provide students with an opportunity to acquire basic knowledge of historical understanding, history as a subject, its logics, foundation of statehood, state formation, latest reforms and policy in Uzbekistan. |
| CS30 | Introduction to Data Science | 4 | The course on Introduction to Data Science provides an overview of Data Science, covering a broad selection of key challenges in and methodologies for working with big data. This course is useful for the students of engineering to analyze their huge data during their research and professional life. Topics to be covered include Introduction to Data Science, Statistical Interference and Exploratory Data Analysis, Machine Learning Algorithms, Data Visualization, Recommendation Systems and Social Network Analysis. This introductory course is integrative across the core disciplines of Data Science, including databases, data warehousing, statistics, data mining, data visualization, high performance computing, cloud computing, and business intelligence. Professional skills, such as communication, presentation, and storytelling with data, will be fostered. Students will acquire a working knowledge of data science through hands-on projects and case studies in a variety of business, engineering, social sciences, or life sciences domains. Issues of ethics, leadership, and teamwork are highlighted. |
| ECON330 | Circular Economy | 6 | This course explores the principles and practices of the circular economy, emphasizing sustainable resource management, waste reduction, and economic resilience. Topics include circular business models, sustainable production and consumption, closed-loop supply chains, and the role of policy and innovation in driving circularity. Students will analyze case studies, assess the economic and environmental impacts of circular strategies, and develop solutions for transitioning from a linear to a circular economic system. Emphasis is placed on systems thinking, ethical considerations, and global sustainability challenges |
| MGT101 | Principles of Management | 6 | This course is a foundational course specifically designed for undergraduate freshmen. It delves into the core principles of management, distinguishing itself from broader business studies by focusing exclusively on managerial theories, practices, and applications. The curriculum is structured to provide a rigorous examination of the fundamental concepts underpinning effective management. It emphasizes the role of management in planning, organizing, leading, and controlling within organizational contexts. Additionally, the course offers an analytical overview of decision-making processes, organizational structures, and the dynamics of leadership. Key areas of study within the course include the evolution of management theories, the design and structure of organizations, strategic planning, human resource management, and contemporary challenges in managerial roles. Upon completion of the course, students will have acquired a comprehensive understanding of the principles that guide effective management in various organizational settings. MGT 101 is designed to equip students with a foundational understanding of management, ensuring their preparedness for advanced studies in the field. |
| ECON315 | Game Theory for Economics | 6 | Introduces game theory and its applications in economics, focusing on strategic interactions among rational decision-makers, equilibrium concepts, and their relevance to various economic scenarios. |
| ECON301 | Econometrics | 6 | Focuses on the application of statistical methods to economic data analysis, including regression analysis, hypothesis testing, and model building, to empirically test economic theories and relationships. |
| CS210 | Computer Programming 2 | 8 | A course focused on teaching students the principles of object-oriented programming, including concepts such as classes, objects, inheritance, polymorphism, and encapsulation. Through hands-on coding exercises, students learn how to design and implement robust, modular software solutions using object-oriented techniques. |
| ECON351 | Research Methods in Economics | 6 | Covers research design, data collection, econometric analysis, and interpretation of results, providing students with the skills needed to conduct independent research in economics. |
| ECON311 | Money and Banking | 6 | Covers the functions of money, monetary policy, central banking, financial intermediation, banking regulation, and the role of financial markets in the economy. |
| HASS305 | Philosophy | 6 | This course will introduce you to the Western philosophical tradition through the study of thinkers such as Plato, Aristotle, Descartes, Hume, Kant, and others. Students will grapple with questions that have been significant to philosophy from its beginnings: Questions about the nature of the mind, the foundations of knowledge, and the good life. They will also observe changes in intellectual outlook over time, and the effect of scientific, religious, and political concerns on the development of philosophical ideas. |
| ECON302 | International Trade | 6 | Examines theories and models of international trade, trade policy, trade agreements, and their implications for economic welfare, specialization, comparative advantage, and the distribution of gains from trade. |
| CS331 | Introduction to Machine Learning | 6 | This course introduces algorithms and applications of machine learning from the point of view of modeling and predicaiton. |
| ECON460 | Mathematical methods for Economic analysis | 6 | Develops proficiency in mathematical techniques commonly used in economic analysis, including calculus, linear algebra, optimization, and dynamic modeling. |
| CS111 | Algorithms & Data Struсtures | 6 | During this course students learn basics of data structures - how to build complex data structures(heap, graph, etc.) using primitive data types that they already know. In this course, students also learn math (proofs and complexities) behind algorithms and understand the difference. Also students gain hands on experience by solving problems such as sorting or finding a shortest path in a graph. |
| ECON402 | Development Economics | 6 | Examines economic issues facing developing countries, including poverty, inequality, health, education, governance, foreign aid, and the role of institutions and policies in promoting economic development. |
| ECON490 | Research project 1 (Capstone) | 6 | Project allows students to apply their knowledge and skills to conduct an independent research project under the guidance of a faculty mentor, integrating concepts from various economics courses. |
| ECON470 | Time Series Analysis | 6 | Focuses on statistical methods for analyzing time series data, including trend analysis, seasonal decomposition, forecasting, and modeling of temporal dependencies in economic and financial data. |
| ECON491 | Research project 2 (Capstone) | 6 | Project allows students to apply their knowledge and skills to conduct an independent research project under the guidance of a faculty mentor, integrating concepts from various economics courses. |
| HASS200 | Communications Ethics | 6 | This discipline introduces students to the fundamental questions of moral philosophy, with attention to classic and contemporary readings. (What is it to be a good human being, and to act morally? How do we decide what morality demands of us in some situation?) It also addresses some issues of current moral debate. The course will consist of lectures, discussion of case studies, analysis of literature and film, and extensive student participation. A better understanding of the nature of the right and the good, ethical character, agency, and philosophy's methods in acquiring this understanding. This course will also develop analytical skills (reading, writing, thinking, argumentation) that will benefit students in their other courses. Upon completing this course, students will better understand the nature of the right and the good, ethical character, agency, and the methods of philosophy. |
| ECON410 | Behavioral Economics | 6 | Investigates how psychological factors influence economic decision-making, exploring concepts such as bounded rationality, heuristics, biases, and their implications for understanding market behavior and policy design. |
| CS301 | Fundamentals of Databases | 6 | This course provides a comprehensive understanding of database systems, including relational models, SQL, and database design. It delves into advanced topics such as transaction processing, concurrency control, and recovery techniques. Students will gain practical experience through projects involving the design and implementation of databases. |
| ECON420 | Economic Policy | 6 | Analyzes the formulation and evaluation of economic policies aimed at addressing issues such as unemployment, inflation, income inequality, and promoting economic growth and stability. |
Entry requirements
1. High school/Lyceum/College diploma or higher
2. Proof of English Language Proficiency:
- - TOEFL iBT 46 or higher
- Note: We accept only the TOEFL iBT taken at approved test centers. We do not accept the TOEFL iBT Home Edition.
- - IELTS 5.5 or higher
- - CEFR B2
- - Exemptions (with a minimum pass mark) from the TOEFL, IELTS or CEFR are given for students who have one of the following equivalents:
| 1. International Baccalaureate Diploma |
| Grade 4 in English A at Higher or Standard Level in the International Baccalaureate Diploma |
| Grade 4 in English B at Higher Level in the International Baccalaureate Diploma |
| Grade 5 in English B at Standard Level in the International Baccalaureate Diploma |
| 2. Pearson Edexcel International GCSE English Language |
| Grade 4 in Pearson Edexcel International GCSE English Language A (External assessment from 2018) |
| Grade 4 in Pearson Edexcel International GCSE English Language B (External assessment from 2018) |
| Grade 4 in Pearson Edexcel International GCSE English Literature (External assessment from 2019) |
| 3. GCSE English Language |
| Grade D in GCSE English Language or GCSE English Literature |
| 4. GCE O-Level English Language |
| Grade D in GCE O-Level English Language |
| 5. GCE A-Level/AS-Level in English Language |
| Grade D in GCE A-Level/AS-Level in English Language or English Language & Literature |
| 6. IGCSE English as a First Language |
| Grade D in the IGCSE English as a First Language. Speaking must be separately endorsed on the certificate |
| 7. IGCSE English as a Second Language |
| Grade D in the IGCSE English as a Second Language. Speaking must be separately endorsed on the certificate |
| 8. Pearson test of English (PTE) - Academic |
| Grade 59 |
| 9. Cambridge C1 Advanced (formerly Cambridge English: Advanced/CAE) |
| Grade 162 |
| 10. Cambridge C2 Proficiency (formerly Cambridge English: Proficiency/CPE) |
| Grade 162 |
| 11. Cambridge B2 First (formerly Cambridge English: First/FCE) |
| Grade 162 |
Note: If your English proficiency test certificate is not yet available, please upload it via your personal account no later than July 13, 2026.
Entrance Exam
- - Math & Logical Thinking
- - Exemptions from the Math & Logical Thinking are given for students who have one of the following equivalents:
Please use the online equivalency calculator above to see the equivalency of your score to Math & Logical Thinking exam scores.
You can also check the equivalent of your score to the Math & Logical Thinking entrance exam scores using the table below.
| International certificate score (Math section) | New Uzbekistan University Entrance Exam Score (in percentage) |
|---|---|
| SAT | |
| 800 | 100 |
| 790 | 90 |
| 780 | 85 |
| 770 | 80 |
| 760 | 75 |
| 750 | 70 |
| 740 | 65 |
| 730 | 60 |
| 720 | 55 |
| 650 – 710 | 50 |
| International Baccalaureate (IB) | |
| 7 | 100 |
| 6 | 90 |
| 5 | 70 |
| 4 | 50 |
| International AS & A Levels | |
| A* | 100 |
| A | 90 |
| B | 80 |
| C | 70 |
| D | 60 |
| E | 50 |
Graduation Requirements
Students will be allowed to graduate upon completion of all requirements listed below:
- - Students must have a minimum 2.00 GPA/CGPA at the end of their final semester;
- - Student must have a minimum of 240 ECTS or as designated in Handbook;
- - Students must successfully complete all University and Program requirements;
- - Students cannot have any outstanding Incompletes or IP grades on their transcripts;
- - Student must complete all degree requirements within 7 (seven) years including any leave periods, of the initial program registration date.
Fees and funding:
| Tuition Fee for 2025/2026 Academic Year | |
|---|---|
| Local students | 42 000 000 UZS per academic year |
| International students | $ 5 500 USD per academic year |
Scholarships
We are committed to supporting our students’ educational journeys through a variety of scholarship opportunities. Scholarships at New Uzbekistan University are categorized into two main types: 1-Year Scholarships and 4-Year Scholarships.
Career / Job opportunities
Economics and Data science is a dynamic and continually evolving field. The vast knowledge and many skills related to economics and data science mean that professionals in this field have a variety of job options and can work in a range of industries, such as economics, finance, accounting, health care, technology, marketing or others. Professionals can have an array of choices when it comes to finding a job that fits their interests and abilities. You might start out as:
Economist - An economist is a professional and practitioner in the social science discipline of economics. The individual may also study, develop, and apply theories and concepts from economics and write about economic policy.
Financial analyst - A financial analyst is a professional, undertaking financial analysis for external or internal clients as a core feature of the job. The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst.
Statistician - A statistician is a person who works with theoretical or applied statistics. The profession exists in both the private and public sectors. It is common to combine statistical knowledge with expertise in other subjects, and statisticians may work as employees or as statistical consultants
Actuary - An actuary is a business professional who deals with the measurement and management of risk and uncertainty. The name of the corresponding field is actuarial science. These risks can affect both sides of the balance sheet and require asset management, liability management, and valuation skills.
Data scientist - A data scientist determines the most effective ways of collecting or evaluating data sets. Data scientists use analytical abilities to assess data and discover insights that can help businesses make strategic improvements. An economics and data science degree can help data scientists evaluate the causal relationships between data points or sets in different ways.
Data engineer - Data engineers build the infrastructure, software tools and applications that gather and analyze sets of data. Their responsibilities include transforming unstructured data into useable formats, finding patterns within data sets and setting batch processing systems in motion. With an economics background, data engineers may have unique insights into data trends and structures.
