OCENENGIN

Program Purpose

This pathway synthesizes economic theory with the technical optimization methods of engineering and Artificial Intelligence (AI) algorithms within a rigorous technical framework. The core methodology treats economic systems as "engineering structures," analyzing them through operations research, data mining, and algorithmic modeling tools. The primary focus is to utilize advanced data science methodologies to model complex relationships between economic variables and develop AI-driven technical solutions for systemic challenges.

Learning Outcomes

Engineering Based Economic Modeling: Transposes economic theories into high-precision numerical models using engineering-based operations research and mathematical optimization techniques.

Algorithmic Analysis and Forecasting: Architectures AI and machine learning models to algorithmically simulate behavioral and structural changes within economic systems (e.g., financial markets, resource allocation, and demand analysis).

Data Science Methodology: Processes complex Big Data sets using advanced econometric methods and engineering tools to generate evidence-based, numerically validated technical outputs for economic policies.

Mobility and Curriculum

Semester 1: Yıldız Technical University (Foundations)

Courses: Microeconomic Analysis, Macroeconomic Analysis, Machine Learning Methods in Economic Analysis, Mathematical Statistics for Economics.

Semester 2: Data and Analytical Applications

 * Alternative 1: Integrado (Modeling Focus)

Courses: Statistics and Experimentation, Business Games, Applied Mathematics, Economic Analysis.

 * Alternative 2: WSGE (Market and Financial Analysis Focus)

Courses: Labour Market, Financial Analysis, Political Economy, Microeconomics, Macroeconomics, MA-Seminar.

Semester 3: Advanced Analytics and Systems Management

 * Alternative 1: YTU (AI Focus)

Courses: Introduction to Deep Learning, Big Data Systems, Optimization Techniques in AI, Data Mining.

 * Alternative 2: Integrado (Logistics and Operational Modeling)

Courses: Logistics and Supply Chain Management, Applied Mathematics, Business Processes, Cost Management and Pricing, Interdisciplinary Project.

Semester 4: Master’s Thesis (Focused on Economy and Data Science)

Program Purpose

This pathway integrates fundamental economic theory with modern computational finance methodologies and corporate management disciplines. By centering on the interdisciplinary nature of financial processes, it merges macroeconomic dynamics with quantitative risk models and cost engineering. The program utilizes algorithmic and mathematical tools to analyze financial data, aiming to design decision architectures for complex risk scenarios in global markets. The goal is to cultivate financial strategists capable of expertly wielding computational tools at the intersection of economics and finance.

Learning Outcomes

Computational Analysis: Synthesizes financial economic theories with quantitative models to analyze complex market and portfolio data using advanced mathematical methods.

Interdisciplinary-Risk Management: Develops cross-disciplinary risk management strategies for banking and corporate finance by utilizing macroeconomic indicators and financial mathematics tools.

Financial Engineering and Auditing: Optimizes crisis scenarios, budgeting processes, and auditing mechanisms through operations research and algorithmic modeling to drive strategic financial decisions.

Mobility and Curriculum

Semester 1: Yıldız Technical University (Foundations)

Courses: Microeconomic Analysis, Macroeconomic Analysis, Financial Markets, Applications in Finance and Investment, Derivative Markets.

Semester 2: Financial Operations and Auditing

 * Alternative 1: WSGE (Banking and Crisis Management)

Courses: Bank Sector Management, Financial Analysis, Managerial Accounting, Crisis Management.

 * Alternative 2: Integrado (Cost and Budget Management)

Courses: Financial and Budgetary Administration, Financial Mathematics, Cost Management and Pricing, General Accounting.

Semester 3: Advanced Finance and Portfolio Strategies

 * Alternative 1: YTU (Investment Analysis)

Courses: Investment Analysis and Portfolio Management, Mathematical Economic Analysis, Game Theory, Big Data Systems.

 * Alternative 2: WSGE (International Project and Finance Management)

Courses: Bank Sector Management, Financial Analysis, Managerial Accounting, Crisis Management.

Semester 4: Master’s Thesis (Focused on Economy and Data Science)

Program Purpose

This pathway synthesizes the systematic process management and optimization methodologies of engineering with the strategic decision-making and market analytics perspectives of economics. It redefines business management not merely as an administrative task, but as an interdisciplinary system design where data-driven engineering methods and economic incentive mechanisms are applied to corporate strategy. The focus is on developing leaders with high technical depth capable of managing global value chains through both operational excellence and strategic agility.

Learning Outcomes

Strategic System Design: Integrates engineering-based process management and logistics models into corporate strategies to design efficiency-oriented business models.

Analytical Leadership: Applies economic decision theories and game theory approaches to strategic management processes within complex organizational structures.

Socio-technical-Management: Manages technological innovation and digital transformation by aligning them with organizational psychology and human-centered engineering principles.

Mobility and Curriculum

Semester 1: Yıldız Technical University (Foundations)

Courses: Microeconomic Analysis, Macroeconomic Analysis, Econometric Analysis, Machine Learning Methods in Economic Analysis.

Semester 2: Organization and Strategy

 * Alternative 1: Integrado (Operational Strategy)

Courses: Strategic Planning, Project Management and Innovation, Production and Operations Management, Business Processes.

 * Alternative 2: WSGE (Management and Business Psychology)

Courses: Business Psychology, Marketing, International Relations, Labour Market / Labour Law.

Semester 3: Logistics and Technological Leadership

 * Alternative 1: YTU (Strategic Leadership and Technology)

Courses: Strategic Leadership, Technology and Economics, Game Theory, Introduction to Deep Learning.

 * Alternative 2: Integrado (Logistics and Supply Chain)

Courses: Logistics and Supply Chain Management, Business Modeling and Operations Research, Interdisciplinary Project 6, Entrepreneurship and Business Plan.

Semester 4: Master’s Thesis (Focused on Strategic Management, Logistics, or Innovation)