B.S. Digital Business & Innovation (DBI) Curriculum
The Digital Business & Innovation major equips students with the knowledge and practical skills needed to connect cutting-edge technologies with modern business practices. Students gain hands-on experience with era-defining digital systems such as fintech and blockchain while building a strong foundation in finance, economics, and entrepreneurship. Graduates will enter the corporate world with a head start in digital innovation, business strategy, and technology-driven problem solving.
Courses in the Digital Business & Innovation major fit into six concentration areas:
- Entrepeneurship and Business Innovation
- AI and Deep Learning
- Digital Transformation and Tech Innovation
- Digital Marketing and Analytics
- Digital Finance and Fintech
- Digital Business Management
Below is the curriculum structure and course list for the Digital Business & Innovation major.
Course Structure
All Digital Business & Innovation students will be required to take the following courses:
- Analytical Reading and Composition I
- Analytical Reading and Composition II
- Fundamentals of Mathematics I?
- Statistics I
- Mathematics for Business and Economics I
- Elementary Japanese 1A?
- Elementary Japanese 1B
Further Japanese courses are optional. Based on mathematics test score, Fundamentals of Mathematics I may be skipped.
Course List
Digital Business & Innovation Courses
AI and Intelligent Product Development
This course explores the development of AI-based products and services. It introduces key ideas related to innovation and intelligent system design.
Concentration Areas: Entrepreneurship and Business Innovation
AI and Machine Learning for Decision Making
In this course, students will examine the role of artificial intelligence and machine learning in decision-making and business problem-solving. The course introduces fundamental machine learning algorithms and major learning paradigms, with emphasis on practical applications in real-world business contexts. Through case studies and applied analysis, students will explore how AI and ML support data-driven decision-making across organizations.
Concentration Areas: AI and Deep Learning
Big Data and Analytics
In this course, students will develop analytical and computational skills for addressing marketing and business problems through data-driven methods. The course introduces Python-based data analytics, including data preprocessing, transformation, and outlier detection. Students will examine unsupervised and supervised machine learning techniques, with applications in market segmentation, predictive modeling, and customer analysis. Through lectures, laboratory exercises, and applied activities, students will learn to translate data into actionable business and marketing insights.
Concentration Areas: AI and Deep Learning, Digital Finance and Fintech
Blockchain and Business Apps
In this course, students will examine the foundations and applications of blockchain technology in digital business and innovation. The course explores the technological, legal, political, and social dimensions of blockchain systems, including consensus protocols, anonymity, security challenges, and emerging developments. Students will also analyze real-world blockchain applications and contemporary issues related to the future of blockchain technology.
Concentrations Areas: Digital Transformation and Tech Innovation, Digital Finance and Fintech
Business Analytics and AI Project
In this course, students will examine the role of business analytics and artificial intelligence in contemporary organizational strategy and decision-making. The course explores business analytics processes, project lifecycles, model development, and data-driven problem-solving from a practical perspective. Through project-based learning and applied analysis, students will develop and evaluate business analytics projects while considering performance measurement, cost-effectiveness, and model explainability.
Concentration Areas: Digital Finance and Fintech
Consumer Behavior
In this intermediate-level course, students will examine consumer behavior, consumer culture, and marketing from a global perspective. Building on foundational marketing principles, the course explores how consumers make decisions and interact within contemporary marketplaces. Through case studies and discussion-based analysis, students will develop an understanding of consumer behavior in diverse market environments.?
Concentration Areas: Digital Marketing and Analytics
Corporate Finance
In this upper-level undergraduate course, students will examine the fundamental principles of corporate finance and major financial issues faced by corporate decision-makers. Topics include financial statement analysis, time value of money, valuation, and capital budgeting decisions. Students will also explore capital markets, risk and return analysis, capital structure theories, and dividend policy.
Concentration Areas: Digital Business Management, Digital Finance and Fintech
Corporate Strategy
In this course, students will examine concepts, theories, and tools for the strategic management of companies based on the planning function of management. Strategic management is defined as the development, implementation, and evaluation of strategies to achieve organizational objectives and maintain competitiveness. The course covers the main stages of the strategic management process, including strategy formulation, implementation, and evaluation. Students will also explore contemporary topics such as corporate sustainability and globalization through lectures and case-based learning.
Concentration Areas: Digital Transformation and Tech Innovation
Creative Thinking for AI and IoT Innovations
This course explores creative thinking in the context of AI and IoT technologies. It introduces ideas related to innovation and problem-solving.
Concentration Areas: Entrepreneurship and Business Innovation, AI and Deep Learning
Cross-Culture Management
This course explores management practices in different cultural contexts. It introduces key ideas related to international organizations and cultural differences.
Concentration Areas: Digital Marketing and Analytics, Digital Finance and Fintech, Digital Business Management
Customer Analytics and AI
In this course, students will examine the role of artificial intelligence in data-driven business decision-making and customer analysis. The course introduces key concepts of AI and its applications across various business functions, with a focus on improving efficiency and operational performance. Students will explore how AI and analytics are used to generate actionable insights from customer data. The course also examines real-world applications, trends, and challenges in AI adoption across industries.
Concentration Areas: AI and Deep Learning, Digital Marketing and Analytics, Digital Finance and Fintech
Cybersecurity and Applications
In this course, students will examine foundational concepts and approaches in cybersecurity. The course covers common cyber threats, security mechanisms, and emerging topics in the field. Students will also explore basic methods for protecting devices, data, and networks.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Business Management
Data and Cloud Strategy
This course explores how data and cloud technologies are used in business. It introduces basic concepts related to digital infrastructure and strategy.
Concentration Areas: AI and Deep Learning, Digital Transformation and Tech Innovation
Data Science and AI Project
In this course, students will examine the foundations of data science and artificial intelligence using Python as the primary programming language. The course introduces core concepts in programming, data analysis, data visualization, and machine learning. Students will apply key libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn to real-world datasets. Emphasis is placed on practical implementation, coding practice, and problem-solving in data-driven contexts.
Concentration Areas: AI and Deep Learning
Database and Big Data
In this course, students will examine the principles underlying database design, data management, and big data systems. The course introduces relational databases, data extraction, and core concepts in data-driven business strategy. Students will explore how data is structured, stored, and used to support business decision-making. Through applied learning activities, students will also engage with practical aspects of database implementation and data-centric business design.
Concentration Areas: Entrepreneurship and Business Innovation, AI and Deep Learning, Digital Marketing and Analytics, Digital Transformation and Tech Innovation, Digital Finance and Fintech, Digital Business Management
Digital Banking and Fintech
In this course, students will examine key concepts in digital banking and financial technology (fintech). The course covers e-banking, financial systems, and the role of digital technologies in modern finance. Students will explore the impact of big data and artificial intelligence on financial services and the emerging digital economy. The course also introduces foundational topics such as data mining, cloud computing, and blockchain technologies.
Concentration Areas: Digital Finance and Fintech
Digital Business Strategies
In this course, students will examine the foundations of digital business and digital transformation. The course introduces key concepts in information and communication technologies, including internet technologies and data-driven business models. Students will explore how digital technologies are used to create and transform businesses in contemporary environments. The course also considers how organizations apply digital strategies to innovation and entrepreneurship.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Transformation and Tech Innovation, Digital Business Management, Digital Marketing and Analytics
Digital Marketing
In this course, students will examine advanced concepts in digital marketing with an emphasis on artificial intelligence and automation. The course explores AI-powered marketing workflows, customer segmentation, and the use of data-driven tools in marketing decision-making. Students will also study search advertising and campaign optimization, including keyword strategy, budgeting, and performance evaluation. Through applied projects and simulations, students will develop practical skills in designing and evaluating AI-enabled digital marketing systems.
Concentration Areas: Digital Marketing and Analytics, Digital Business Management
Digital Marketing and E-Commerce
In this course, students will examine advanced concepts in digital marketing with an emphasis on artificial intelligence and automation. The course explores AI-powered marketing workflows, customer segmentation, and the use of data-driven tools in marketing decision-making. Students will also study search advertising and campaign optimization, including keyword strategy, budgeting, and performance evaluation. Through applied projects and simulations, students will develop practical skills in designing and evaluating AI-enabled digital marketing systems.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Marketing and Analytics, Digital Business Management
Digital Marketing Research
This course explores research approaches used in digital marketing. It introduces key ideas related to data, consumers, and online marketing environments.
Concentration Areas: Digital Marketing and Analytics
E-Business and Payment Systems
In this course, students will examine the fundamentals of e-business and its role in modern commercial environments. The course introduces key differences between offline and online business models, including their advantages and limitations. Students will explore core topics such as e-marketing, e-business technologies, and e-business strategy. The course also covers payment systems, from the history of money to modern electronic payment methods, and includes group presentations analyzing specific e-business cases and their future prospects.
Concentration Areas: Digital Finance and Fintech
Econometrics for Business Analytics
In this course, students will develop fundamental econometric tools and analytical skills for analyzing economic relationships using real-world data. The course covers statistical foundations, regression analysis, model diagnostics, and basic causal inference. Students will also explore key econometric techniques such as OLS estimation and instrumental variables. Through applied exercises and data-based examples, students will learn how to interpret and analyze empirical economic evidence.
Concentration Areas: AI and Deep Learning, Digital Finance and Fintech, Digital Marketing and Analytics
Entrepreneurial Strategies
In this course, students will examine the process of launching and managing a digital business through a project-based approach. The course guides students through idea development, team formation, website creation, and the establishment of a digital business presence. Students will explore key topics such as branding, content creation, communication strategies, and online marketing. The course also covers pricing, monetization, and basic payment system integration, supported by practical lab work and applied exercises.
Concentration Areas: Entrepreneurship and Business Innovation
Entrepreneurial Strategy Practicum
This course explores practical aspects of entrepreneurship and business creation. It introduces key ideas related to developing and testing business strategies.
Concentration Areas: Entrepreneurship and Business Innovation
Financial Accounting
This course explores the basic principles of financial accounting. It introduces key ideas related to financial reporting and business records.
Concentration Areas: Digital Finance and Fintech, Digital Business Management
Foundations of Python
In this course, students will examine foundational programming concepts with a focus on the Python programming language. The course covers core topics including data structures and object-oriented programming. Students will also use basic graphical processing libraries to support conceptual understanding. Learning is reinforced through regular programming assignments, in-class exercises, and project-based work.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Marketing and Analytics, Entrepreneurship and Business Innovation, AI and Deep Learning, Digital Finance and Fintech, Digital Business Management
Generative AI and Applications
In this course, students will examine the fundamentals and applications of generative artificial intelligence. The course introduces key concepts related to large language models and generative AI systems. Students will explore practical applications such as prompt engineering, text generation, summarization, conversational AI, and image generation. The course also emphasizes hands-on use of generative AI tools, along with consideration of ethical, social, and reliability issues.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Finance and Fintech
Global Supply Chain Management
This course explores how global supply chains are structured and managed. It introduces key ideas related to logistics and international operations.
Concentration Areas: Digital Business Management
Hospitality Management and Strategy
This course explores management and strategy in the hospitality industry. It introduces key ideas related to service operations and business planning.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Marketing and Analytics
Human Resource Management
This course will provide students with major theories and the concepts of human resources. The course bridges theory and practice to analyze actual business cases so that students will be equipped with various academic analyses of human resource management cases, as well as practical management skills for their future career. The course is divided into two subsections: reviewing the fundamental concepts and theories on HRM; examining the latest research and arguments on HRM in contemporary business. Students will have various opportunities to analyze company cases, as well as presenting their own research into those companies. In analyzing and discussing the HRM related topics, the lecturer presents practical cases she experienced in both Japanese and American companies as a human resource manager. In addition, through the lecturer’s networks in business circles, recent trends in business and management will be also discussed in the class.
Concentration Areas: Digital Business Management
Innovation Management
This course explores how innovation is managed in organizations. It introduces key ideas related to creativity and organizational change.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Business Management
Innovation and Value Creation for Entrepeneurs
In this course, students will examine how entrepreneurs create value through innovation. The course explores key ideas related to opportunity recognition, problem solving, and business development. Students will also consider how innovative thinking can be applied to entrepreneurial contexts.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Finance and Fintech, Digital Business Management
International Finance
In this course, students will examine core issues in international finance at an advanced level. Topics for discussion are drawn from a standard graduate-level textbook in international finance. Assessment is based on quizzes and a class presentation.
Concentration Areas: Digital Finance and Fintech
Introduction to Computer Networking
In this course, students will examine the fundamentals of computer networks and communication systems. The course covers key network reference models, including the physical, data link, network, transport, and application layers. Students will also explore network and communication security, including basic cryptography and blockchain concepts. The course concludes with an overview of emerging and advanced networking technologies and their applications in business contexts.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Transformation and Tech Innovation
Introduction to Digital Privacy and Data Security
In this course, students will examine the fundamentals of cybersecurity, digital privacy, and data security. The course provides an overview of key principles and practices for protecting information systems and personal data. Students will also explore common challenges in securing digital business environments.
Concentration Areas: AI and Deep Learning
Investments
This course explores the basic concepts of investment and financial markets. It introduces key ideas related to asset management and financial decision-making.
Concentration Areas: Digital Finance and Fintech
IT Project Management
This course explores how information technology projects are planned and managed. It introduces key ideas related to project organization and execution.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Business Management
Macroeconomics
In this course, students will examine macroeconomics from a global and integrated perspective. The course explores the relationships between goods, financial, and labor markets across different economies. Students will also analyze major macroeconomic issues, including financial crises, monetary and fiscal policy, regional economic challenges, and global growth patterns.
Concentration Areas: Digital Finance and Fintech
Marketing Modeling
This course explores analytical approaches used in marketing. It introduces key ideas related to data analysis and marketing decision-making.
Concentration Areas: Digital Marketing and Analytics
Mathematics for Business and Economics I
In this course, students will examine foundational mathematical concepts used in business and economics. The course covers topics in the real number system, including equations, inequalities, and functions. Students will also explore linear and quadratic equations, graphing, systems of equations, exponents, polynomials, and rational expressions. Additional topics include radicals, complex fractions, and basic algebraic techniques.
Concentration Areas: Entrepreneurship and Business Innovation, AI and Deep Learning, Digital Transformation and Tech Innovation, Digital Marketing and Analytics, Digital Finance and Fintech, Digital Business Management
Microeconomics
In this course, students will examine the basic principles of microeconomic theory and their applications to economic and policy issues. The course covers key topics such as supply and demand, consumer behavior, the theory of the firm, market structures, and welfare analysis. Students will also explore strategic behavior, information economics, general equilibrium, and market failures. The course emphasizes the application of microeconomic models to real-world problems.
Concentration Areas: Digital Finance and Fintech
Mining Unstructured Data
This course explores techniques for analyzing unstructured data. It introduces key ideas related to text and data processing.
Concentration Areas: AI and Deep Learning
Mobile Tech, IoT and Business Apps
In this course, students will examine the strategic use of mobile and web technologies in business. The course explores key concepts such as platform strategy, market dynamics, user experience design, and digital trends. Students will also apply these ideas through the development of a simple app or website project. The course emphasizes connecting strategic thinking with practical digital implementation.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Transformation and Tech Innovation
Money and Banking
This course explores the role of money and banking systems in the economy. It introduces key ideas related to financial institutions and monetary systems.
Concentration Areas: Digital Finance and Fintech
Neuro Marketing
In this course, students will examine the foundational concepts and tools of neuromarketing. The course introduces key ideas in understanding consumer behavior through neuroscience-based approaches. Students will develop critical thinking regarding the ethical and practical applications of neuromarketing. The course also focuses on basic skills for analyzing and evaluating consumer behavior using neuromarketing techniques.
Concentration Areas: Digital Marketing and Analytics, AI and Deep Learning
Neuro Marketing Project
This course explores practical applications of neuromarketing. It introduces key ideas related to consumer behavior and marketing research projects.
Concentration Areas: AI and Deep Learning, Digital Transformation and Tech Innovation
Principles of Marketing
In this course, students will examine the basic principles of marketing. The course covers key concepts such as segmentation, targeting, positioning, and the marketing mix. Students will learn how these elements work together to create effective market offerings. Case studies from international and Japanese contexts will be used to support discussion and analysis.
Concentration Areas: Digital Marketing and Analytics, Digital Transformation and Tech Innovation, Entrepreneurship and Business Innovation, Digital Business Management
Programming for Data Science and AI
This course explores programming concepts used in data science and AI. It introduces key ideas related to coding and data analysis.
Concentration Areas: AI and Deep Learning
Quantum Information and Computation
In this course, students will examine the fundamentals of quantum computing and related quantum technologies. The course introduces key concepts and foundational ideas needed to understand quantum computation. Students will also explore basic applications and implications of quantum technologies in digital and computational contexts. Python programming is required for practical components of the course.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Finance and Fintech
R Programming and Business Analytics
In this course, students will examine the use of the R programming language for business and statistical analysis. The course introduces basic programming concepts in R and progresses to data analysis and visualization techniques. Students will learn how to apply statistical methods to real-world data and present results using graphs.
Concentration Areas: Digital Marketing and Analytics
Social Media and Business
In this course, students will examine the role of social media in modern business strategy and operations. The course explores how organizations use social media platforms to engage audiences, build brand identity, and support business objectives. Students will study key topics such as content creation, social media marketing, data analysis, and digital trends. The course also introduces methods for evaluating campaign performance and using social media insights to inform business decisions.
Concentration Areas: Digital Marketing and Analytics, Digital Business Management
Start-up Funding and VC Strategies
In this course, students will examine the fundamentals of start-up financing from early-stage funding to venture capital investment. The course explores key aspects of fundraising, including assessing capital needs, pitching to investors, and understanding deal structures. Students will also study valuation approaches, funding stages, and investor expectations through applied examples. The course bridges theory and practice to support understanding of how start-ups raise capital and how investment decisions are made.
Concentration Areas: Entrepreneurship and Business Innovation
Statistics II
This course explores intermediate statistical methods. It introduces key ideas related to data analysis and inference.
Concentration Areas: AI and Deep Learning, Digital Marketing and Analytics, Digital Finance and Fintech
Strategic Brand Management
This course explores how brands are developed and managed. It introduces key ideas related to branding and marketing strategy.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Marketing and Analytics, AI and Deep Learning
Sustainability Economics and Policy
In this course, students will examine the fundamentals of environmental economics. The course explores the relationship between economic activity and environmental quality, including key tradeoffs and policy challenges. Students will also study approaches to environmental regulation and methods for valuing nonmarket goods and services.
Concentration Areas: Entrepreneurship and Business Innovation, Digital Business Management
Text Mining and Deep Learning
This course explores techniques for analyzing text data using machine learning. It introduces key ideas related to deep learning and language data.
Concentration Areas: AI and Deep Learning
Web and Mobile Technology
In this course, students will examine strategic approaches to mobile and web technologies in business. The course explores platform strategies, market dynamics, user experience design, and emerging trends in digital platforms. Students will also apply these concepts through the development of a simple app or website project. The course emphasizes the integration of strategic thinking with practical digital implementation.
Concentration Areas: Digital Transformation and Tech Innovation, Digital Marketing and Analytics
Workshop for Strategic Management
This course explores practical aspects of strategic management. It introduces key ideas related to business strategy and decision-making.
Concentration Areas: Entrepreneurship and Business Innovation
Workshop for Sustainability Management
This course explores practical aspects of sustainability management. It introduces key ideas related to sustainability in organizations.
Concentration Areas: Entrepreneurship and Business Innovation
In addition, DBI students may take select Business Economics (BE) major courses.
Liberal Arts Courses
Business and Social Impact
This course examines the role of businesses in creating social and sustainable impact. Students learn about the Sustainable Development Goals (SDGs), corporate social responsibility, and social business initiatives. The course also explores case studies of businesses addressing social and economic challenges.
Food Value Chain and Sustainability
This course examines sustainability issues within the global food value chain. Students learn about the roles of producers, businesses, consumers, and other stakeholders in building sustainable food systems. The course explores challenges related to food supply, food security, and responsible production through theories and case studies.
Fundamentals of Mathematics
This course introduces the mathematical foundations used in business, economics, and digital innovation. Students learn topics such as equations, inequalities, graphing, systems of equations, exponents, polynomials, and functions. The course also develops problem-solving and analytical skills through mathematical applications.
Introduction to Informatics and Computing
This course introduces the fundamentals of informatics and computing for students interested in digital business and technology. Students learn about computer hardware and software, networks, cybersecurity, blockchain, web development, and programming concepts. The course also explores topics such as algorithms, computational theory, and introductory quantum computing.
Concentration Areas: Entrepreneurial Business
Introduction to Social Psychology
This course introduces the basic theories and research methods of social psychology from a sociological perspective. Students examine how social structures influence individual behavior and how individuals shape groups and society. The course also explores social interaction, group dynamics, and the relationship between society and human behavior.
Introduction to Sociology
This course introduces the sociological perspective and the study of human behavior, social relationships, and society. Students examine how social structures, institutions, and historical processes influence individual lives and opportunities. The course also explores topics such as social class, gender, race, economic systems, and political systems.
Labor Laws and Work Life
This course introduces the basic principles of labor law and workplace relations. Students examine topics such as employment rights, working conditions, labor policies, and workplace regulations. The course also explores contemporary issues related to work environments and work-life balance.
Leadership in Management
This course introduces the principles and practices of leadership in organizational management. Students examine leadership styles, decision-making, communication, and team management within business environments. The course also explores strategies for effective leadership and organizational development.
Concentration Areas: Management
Principles of Economics
This course introduces the fundamental concepts of microeconomics and macroeconomics. Students examine topics such as demand and supply, market equilibrium, competition, game theory, economic growth, unemployment, and international trade. The course also explores monetary and fiscal policy and their roles in the broader economy.
Principles of Management
This course introduces the fundamental principles of management and organizational behavior. Students examine topics such as planning, decision-making, leadership, organizational structure, and team management. The course also explores how managers coordinate resources and strategies to achieve organizational goals.
Statistics I
This course introduces the fundamental concepts and methods of statistics. Students learn descriptive and inferential statistics, data collection methods, and techniques for analyzing and interpreting data. The course also develops skills for evaluating statistical information and supporting data-driven decision-making.
Sustainable Society
Mathematics for Business and Economics I
This course introduces the basic theories and principles of sustainability from environmental, social, and economic perspectives. Students examine how sustainability influences societies, businesses, and global development. The course also explores the role of businesses in addressing sustainability challenges through case studies and current issues.
Japanese Courses
Elementary Japanese 1A
This course explores the very basics of Japanese, covering hiragana and katakana and equipping students with some basic grammatical knowledge.
This course is mandatory for students without prior Japanese ability.
Elementary Japanese 1B
A continuation of the previous course, equipping students with basic grammatical and linguistical knowledge of the Japanese language. This course aims to reach the JLPT N5 level.
This course is mandatory for students without prior Japanese ability.
Elementary Japanese 2A
This course aims to build upon the basic foundations of Japanese that students have gained, introducing new forms and structures.
Elementary Japanese 2B
Similar to the the 2A course, this course aims to build upon the basic foundations of Japanese that students have gained, introducing new forms and structures. Students will reach the JLPT N4 level by the end of this course.
Intermediate Japanese 1
This course instils students with the Japanese they need to complete daily interactions. Students will be able to have basic conversations and express their circumstances and feelings in Japanese. Students will also build upon their knowledge of grammar, vocabulary and kanji.
Intermediate Japanese 2
Similar to the previous course, this course pushes students farther with the Japanese they need to complete daily interactions. Students will be able to have basic conversations and express their circumstances and feelings in Japanese. Students will also build upon their knowledge of grammar, vocabulary and kanji. By the end of this course, students will be prepared to take the JLPT N3 examination.
Advanced Japanese 1
This course will begin to develop students into fluent, confident users of Japanese. Building upon reading, writing, listening and speaking skills, students will gain the knowledge necessary to thrive in the Japanese workplace.
Advanced Japanese 2
Similar to the previous course, this course aims to fine-tune the Japanese ability of the student for use in a range of situations, including the workplace. This course will prepare students for the JLPT N2 examination, which is considered a strong standard when applying for Japanese companies.
Upper-Advanced Japanese
This course will usher students towards comprehensive fluency in the Japanese language. Students completing this course will be able to thrive in a range of fields: academia, the workplace, and wider Japanese society.
Business Japanese
In the final course of the TIU Japanese program, students will perfect their ability to use culturally appropriate forms in the world of Japanese business. This course will prepare students to sit the most challenging Japanese language examination: the JLPT N1.
Academic Literacy Courses
Analytical Reading and Composition I
In this course, students develop and practice skills in critical thinking, finding and evaluating sources, summarizing texts, and leading discussions before learning the process of writing an academic essay.
Analytical Reading and Composition II
In this course, following on from the first course, students continue develop and practice skills in critical thinking, finding and evaluating sources, summarizing texts, and leading discussions before refining their ability of academic writing.
Course lists and availability are subject to change without prior notice.