Build a strong mathematical baseline focusing on limits, derivatives, and the fundamental theorem of calculus.
Students will learn the foundational concepts of computational thinking, algorithms, and basic programming using a modern language.
Discover the core concepts of optimizing complex systems, processes, and organizations within the industrial engineering discipline.
Introduces the fundamental principles of reasoning, argumentation, and formal logic to develop critical thinking skills.
This course encourages students to critically explore the relationship between logic, faith, and personal purpose to develop a meaningful concept of life. Through lectures and small-group tutorials, students reflect on personal identity, happiness, and moral guidance.
Building on single-variable calculus, this course covers multivariable functions, partial derivatives, double integrals, and differential equation modeling. Students will also explore the convergence of infinite series, hyperbolic functions, and complex exponentials to solve area and volume problems.
Students will gain practical skills in installing, configuring, and managing relational databases while mastering SQL for data definition and manipulation. The course emphasizes designing relational models across varying complexities, from single entities to complex many-to-many relationships.
This course provides a comprehensive overview of AI principles, spanning search algorithms, logical reasoning, probabilistic models, and machine learning basics like neural networks and NLP. It also explores the ethical implications and practical applications of AI technology across diverse industries.
This course covers the core theories of linear systems, matrix algebra, vector spaces, linear transformations, and eigenvalues/eigenvectors. Students will learn techniques like Gaussian elimination and explore real-world applications in differential equations, optimization, and Markov chains.
This course examines Pancasila and the 1945 Constitution of Indonesia as the foundational ideology and legal framework shaping national identity. Students explore how ideological principles guide decision-making and civic governance at a national level.
Continuing from Physics I, this course applies fundamental physical laws to real-world phenomena with an emphasis on electromagnetism. Key topics include electrostatics, electric potential, capacitors, magnetostatics (Biot-Savart and Ampère’s laws), and electromagnetic induction.
Designed for business and management contexts, this course introduces statistical thinking, descriptive statistics, probability distributions, sampling, and hypothesis testing. Students gain hands-on experience using software tools such as Minitab and R to analyze process variability.
This course teaches students to evaluate work methods, perform measurements, and design ergonomic workstations using cognitive, physical, and environmental engineering principles. The primary focus is to optimize human-system interactions to create safe, efficient, and productive work environments.
This course reinforces Indonesian national identity, democratic rights, and civic obligations through the principles of Pancasila and the national constitution. Students examine topics like anti-corruption, national resilience, and public responsibility, culminating in a practical citizenship project.
This course introduces fundamental data mining processes, data understanding, preprocessing, and exploratory data analysis. Students learn core techniques for classification, cluster analysis, and anomaly detection using algorithms like decision trees, neural networks, and support vector machines.
Grounded in servant leadership, this course equips students with design thinking, digital ethics, and strategic skills to drive digital transformation. The curriculum culminates in a Digital Leadership Project in which students design and prototype creative solutions to address modern technological trends.
Integrating microeconomics, macroeconomics, and engineering economics, this course provides a framework for analyzing market structures, macroeconomic indicators, and technical investments. Students acquire tools such as cost-benefit analysis and the time value of money to evaluate a project's financial viability and support strategic decision-making.
This course explores how information systems, e-business strategies, business intelligence, SCM, and CRM serve as strategic tools for competitive business advantage. Students balance technology alignment, data security, and digital ethics to create sustainable business value in a dynamic global market.
This course covers basic techniques for mathematical modeling and optimization of deterministic systems, focusing on linear programming applications in production, logistics, and transportation. Students learn both linear and nonlinear programming concepts while utilizing specialized optimization software to solve complex industrial problems.
Students will learn to apply quality management concepts, Six Sigma frameworks, control charts, and reliability testing to evaluate and control manufacturing processes. The course includes hands-on laboratory exercises to illustrate practical quality assurance operations in industrial settings.
Building on introductory statistics, this course focuses on regression analysis, ANOVA, logistic regression, and multivariate analysis for examining variable relationships. Hands-on experience with statistical software prepares students to evaluate business data, conduct experiments, and write technical reports.
This course is designed to bridge the gap between advanced artificial intelligence technology and strategic decision-making in the business world. Students will learn how AI and machine learning drive innovation in organizational governance, business analytics, and change management. The primary learning focus is on exploring real-world challenges in AI adoption such as cybersecurity and data ethics—as well as integrating blockchain technology and predictive analytics to create smart, secure, and competitive business solutions across various industrial sectors.
This is the only course that will be delivered in Bahasa. The course will be managed by the General Education Department. The course would improve the students’ capability in oral and written communication in Bahasa.
Business analytics is the application of processes and techniques that transform raw data into meaningful information to improve decision-making. This course provides the ability for students to understand and apply conceptual knowledge in analyzing business environments, and to participate in research-supported decision-making using the most appropriate techniques, tools, and methods. Furthermore, students should be able to use Business Intelligence software (in this class, we choose Guandata Intelligent Enterprise software) to build simple Report & Dashboard (Analytics).
This course provides a comprehensive introduction to the mathematics of countable objects, serving as a crucial foundation for studying computer science algorithms and machine learning. Students will learn the language of discrete mathematics and methods for constructing mathematical arguments through key topics, including set theory, logic, Boolean algebra, and functions and relations. Furthermore, the discussion covers counting and combinatorics, graph theory, and introductory advanced concepts such as Finite State Automata and String Rewriting, equipping students with precise mathematical reasoning skills.
This course introduces students to the "language of business" through the process of recording, classifying, and reporting historical financial transactions for external stakeholders. The learning focus covers the complete accounting cycle, from daily journaling to the preparation of income statements, balance sheets, and cash flow statements, and provides a deep understanding of assets, liabilities, and equity accounts in line with professional standards to ensure transparency in a company's financial position.
Through the course, students learn the overview of the supply chain, how to view the supply chain as a strategic asset, the concept of lead time in supply chain management, develop an end-to-end process architecture, supply chain optimization, learn how to implement the strategy of supply chain management, build the right collaborative model, information technology in supply chain management, the E concept – supply chain in the integrated corporate information system, the collaboration of information technology inter-companies, and measure the performance of supply chain management.
This course introduces optimization modeling in decision-making with a focus on advanced deterministic and stochastic models. The emphasis is on applications to business problems as well as daily life problems. Topics discussed include Integer Programming, Dynamic Programming, Decision Analysis, Game Theory, Markov Chains, Queuing Theory, Maximum Entropy, and Ideal Flow Networks.
This course is about ethics for professionals in business. The course starts with ethical standards as a major issue in ethics. Followed by an in-depth discussion about professionalism and its relationship with ethics. Some business cases will assist students in understanding ethical dilemmas and how to make ethical decisions in several business functions, such as marketing and finance. This course will also discuss cases of business ethics in an international realm.
This intermediate course develops formal spoken communication skills tailored for professional settings, including negotiation, presentation, and public speaking. Practical, interdisciplinary activities enhance language proficiency and business interpersonal skills.
Serving as a practical capstone experience, this project-based course guides students through requirements gathering, data modeling, and ETL script development using agile methodologies. Students build enterprise data warehouses and deploy interactive MicroStrategy dashboards on cloud platforms.
This course focuses on modeling real-world phenomena using single-variable and systems of linear ordinary differential equations. Students learn graphical, exact, and numerical solution techniques, leveraging eigenvalues and eigenvectors to analyze dynamical systems.
Students explore framework processes and international ISO standards that allow organizations to minimize environmental impact while maximizing operational efficiency. Using sustainable approaches such as the Valdez Principles, students learn to design and evaluate responsible resource management systems.
This course examines organizational theory, structural design, culture, and ethical values in response to dynamic global business environments. Students learn strategic management principles—including innovation, conflict resolution, and power dynamics—to design effective organizational structures.
This course covers occupational health and safety principles across office, industrial, and construction environments, with a focus on hazard identification and risk assessment. Students learn workplace stress management, incident investigation, and emergency procedures, such as fire drills, to foster a safe work environment.
This course introduces manufacturing demand analysis, production scheduling, and inventory control techniques using computer-supported tools. It also covers service industry scheduling practices, establishing foundational concepts for industrial system simulation.
This course provides a foundational overview of business finance, managerial taxation, and short- and long-term corporate decision-making. Students examine core financial concepts and risk management practices to guide strategic managerial policy.
Functioning as a business incubator, this course guides students through building viable ventures from raw ideas using market research and product validation. The curriculum culminates in professional proposal development and pitching business plans to potential investors.
This course covers core chemistry concepts—such as atomic structure, bonding, and stoichiometry—before exploring industrial chemical manufacturing processes like refining and fractionation. Students also study key divisions of the chemical industry alongside modern environmental considerations.
This course provides an overview of legal topics vital to business operations and strategic decision-making. Students examine core subjects including business associations, contract law, intellectual property rights, and dispute resolution.
Students learn mechanisms for designing, analyzing, and comparing facility layouts, as well as for making strategic location decisions. The course covers efficient material-handling techniques to help students design economical, safe, and productive factory layouts.
This hands-on course uses real-world company data and a single product case study to simulate industrial operations. Students integrate concepts from Motion and Time Study, Production Planning, Quality Control, and Logistics to solve practical problems.
This final-stage requirement offers students the choice to specialize deeply in core pillars of Industrial Engineering or explore cross-disciplinary subjects through a Minor to broaden their academic scope.
This course guides final-year students through the business engineering research process, academic writing, and research design. By reviewing statistics and theoretical frameworks, students learn to formulate a coherent research proposal and plan effective data collection.
This course develops students' ability to model complex industrial systems and solve operational problems through simulation techniques. As a key branch of operations research, it provides practical tools for analyzing system behavior that is too complex for analytical solutions.
Studying at IBE was an exhilarating experience! The programme offered a unique and innovative approach to learning that I have not seen elsewhere, not only in Surabaya, but in Indonesia as a whole. The instructors at IBE were highly supportive and dedicated to helping us grow and flourish. What I appreciated most was that many classes and activities were carried out through two-way discussions that emphasised our participation as a cohort, rather than relying on traditional one-way lectures. After graduating from IBE, I continued my education at Nanyang Business School by enrolling in the MSBA programme. I am grateful for the practical skills and knowledge that I gained from IBE, which have been instrumental in shaping my career goals and success. I highly recommend IBE to anyone seeking a transformative learning experience.
