Postgraduate Courses

On successful completion of the course, students will be able to:

• 1.
  Recognize IS management process in different companies/ industries.
• 2.
  Identify the current market trend and development of different sectors of IS industry.

On successful completion of the course, students will be able to:

• 1.
  Analyze and solve problems in Information Technology management.
• 2.
  Apply tools, analytical frameworks and general principles for managing Information Technology.
• 3.
  Identify how decision regarding Information Technology may impact other functional areas.

On successful completion of the course, students will be able to:

• 1.
  Present ideas clearly and deliver analysis convincingly.
• 2.
  Produce professional quality business documents, deliver professional quality presentations and communicate ideas persuasively.
• 3.
  Lead and work effectively in a team.
• 4.
  Analyze IT projects for pros and cons.
• 5.
  Examine IT’s relations with business strategy, process, and organization.
• 6.
  Identify new IT trends and innovations and appraise their value for specific business processes.
• 7.
  Prepare for future careers in business and social environments that are deeply permeated with and dependent upon IT.

On successful completion of the course, students will be able to:

• 1.
  Understand the impact of data visualization for business decision making and strategic planning.
• 2.
  Identify the design principles in data visualization.
• 3.
  Recognize the applicability of different types of visual elements in various application scenarios.
• 4.
  Apply exploratory and explanatory data analysis to real business data sets and provide meaningful interpretation by relevant and effective visualization.

On successful completion of the course, students will be able to:

• 1.
  Analyze the core issues and identify critical factors for making decisions regarding outsourcing.
• 2.
  Interpret technical, organizational and managerial issues on such decisions.
• 3.
  Explain core technology in information systems.
• 4.
  Effectively communicate with different audiences using both technical language and business language.

On successful completion of the course, students will be able to:

• 1.
  Apply the fundamentals of coding in Python.
• 2.
  Read and write scripts.
• 3.
  Create, manipulate, and extract insights from real-world data.
• 4.
  Explore the business applications of web scraping and APIs.
• 5.
  Design solutions to business problems and execute in Python.

On successful completion of the course, students will be able to:

• 1.
  Articulate and/or explain how big data technologies can improve business data management and lead to better business decision making.
• 2.
  Choose the right big data tools/techniques for various scenarios where business problems arise.
• 3.
  Use big data tools to solve real data problems.

On successful completion of the course, students will be able to:

• 1.
  Describe the platform of data networks including services, technologies, and issues associated with modern network.
• 2.
  Configure a network operating system.
• 3.
  Explain network protocols and communications, standards that make networks work, and how communication occurs over a network.
• 4.
  Summarize the general functions of the physical layer and data link layer.
• 5.
  Identify the characteristics and operation of Ethernet as it has evolved from a shared media, contention-based data communications technology to today's high-bandwidth, full-duplex technology.
• 6.
  Explain how network layer divides networks into groups of hosts to manage the flow of data packets within a network.
• 7.
  Define the role of the transport layer in encapsulating application data for use by the network layer.
• 8.
  Examine in detail the structure of IP addresses and their application to the construction and testing of IP networks and subnetworks.
• 9.
  Recognize the creation and assignment of IP network and subnetwork addresses through the use of the subnet mask.

On successful completion of the course, students will be able to:

• 1.
  Approach related business problems from alternative and innovative perspectives.
• 2.
  Solve problems using quantitative and analytical techniques.
• 3.
  Communicate with managers, end-users and other stakeholders, with a better knowledge of both technical and business language.

On successful completion of the course, students will be able to:

• 1.
  Identify major regulatory objectives and implications for FinTech.
• 2.
  Assess how technology influences and is influenced by regulation and markets.
• 3.
  Describe RegTech and InsurTech ecosystems to understand regulatory transformation and opportunities created by relevant technologies.
• 4.
  Examine the risks and challenges associated with technology innovations in the context of FinTech applications.
• 5.
  Discuss future directions of FinTech and its implications for their own future.

On successful completion of the course, students will be able to:

• 1.
  Explain the fundamental tension in data and privacy protection and development.
• 2.
  Discuss privacy in the dimensions of secrecy, seclusion and autonomy/freedom.
• 3.
  Discuss data protection law as a protector of individual rights and facilitator for commerce.
• 4.
  Compare and contrast different data protection regimes and regulations.
• 5.
  Recognize the limitation of the law, impacts of technological changes and the expectation of the public.
• 6.
  Explain how to apply relevant management tools to demonstrate commitments on privacy and data protection.
• 7.
  Identify the privacy challenges and benefits of technological developments and manage them at the work context.
• 8.
  Identify the common challenges, mistakes, and management lessons in data protection and privacy management from real-life cases, and apply/articulate them in future cases.

On successful completion of the course, students will be able to:

• 1.
  Apply Python programming to develop deep learning business applications.
• 2.
  Describe and differentiate deep learning models.
• 3.
  Explain the logic of deep learning business applications written in Python.

On successful completion of the course, students will be able to:

• 1.
  Explain object oriented programming (OOP) concepts.
• 2.
  Model business problems logically.
• 3.
  Develop programming solutions to business problems.
• 4.
  Write computer programs with common programming practices.
• 5.
  Identify and fix logical and runtime errors in computer programs.

On successful completion of the course, students will be able to:

• 1.
  Define the basic concepts of database environment and describe the development process.
• 2.
  Analyze and design a database using Entity Relationship Diagram (ERD) and Enhanced Entity Relationship Diagram.
• 3.
  Analyze how data can be represented and stored in a typical business information system through normalization concept.
• 4.
  Insert, manipulate, and analyze the data in a database using structured query language (SQL) and Oracle database.
• 5.
  Organize and evaluate different database administration concepts and procedures.

On successful completion of the course, students will be able to:

• 1.
  Approach business problems data-analytically (intelligently). Think carefully & systematically about whether & how data can improve business performance.
• 2.
  Interact competently on the topic of data analytics. Know the basics of data mining processes, techniques, & systems well enough to interact with business analysts, marketers, and clients. Be able to envision Big Data opportunities.
• 3.
  Identify the right Big Data techniques for various business problems. Gain hands-on experience in using popular data analysis tools.

On successful completion of the course, students will be able to:

• 1.
  Identify information security trends and developments.
• 2.
  Classify common security threats and describe the characteristics of each type of threats.
• 3.
  Apply protection tools to enhance organizational information security.
• 4.
  Design proper information security solutions to minimize different security risks.
• 5.
  Identify common mistakes in information security management.
• 6.
  Describe the key features of cyber-crimes and how they threaten information assets and the security of organizations.
• 7.
  Characterize different approaches to tackling cyber-crimes and their key principles.
• 8.
  Describe the key purpose and processes of computer forensics.
• 9.
  Analyze the options available to an organization when it is under security threats.

On successful completion of the course, students will be able to:

• 1.
  Analyze the core issues and identify factors that are critical to the development of Information systems.
• 2.
  Compare and contrast IS development methodologies.
• 3.
  Define and explain system analysis and modeling.
• 4.
  Diagnose key IS development management issues and make sound IS development decisions as business managers.

On successful completion of the course, students will be able to:

• 1.
  Explain the core technical attributes of machine learning and artificial intelligence (AI).
• 2.
  Identify current AI development trends.
• 3.
  Connect business insights to technological possibilities of AI.
• 4.
  Navigate the ethical and societal implications of AI projects.
• 5.
  Facilitate effective communication between technical and managerial teams.

On successful completion of the course, students will be able to:

• 1.
  Describe how a business organization’s choices of strategy and process are closely related to its information management and communications capabilities in the context of digital business.
• 2.
  Develop quantitative and analytical techniques to solve business problems with innovative perspectives.
• 3.
  Analyze the core technological and business issues and identify critical factors for business decision-making with the context of digital business.
• 4.
  Evaluate information systems relations with strategy, process, organization and market.

On successful completion of the course, students will be able to:

• 1.
  Explain what FinTech is and the underlying ICT (Information Communication Technology) that supports the disruptive business strategies/models.
• 2.
  Explore and assess the threats and the business opportunities in the innovative finance landscape with Artificial Intelligence, big data, blockchain and distributed ledger technology (DLT).
• 3.
  Critically examine the innovative FinTech business models, ICT and their respective critical success factors, risks, compliance and legislative frameworks related to Crowd Funding, Fast Payment, Financial Intelligence, Quantitative Finance, Algorithmic Trading and High Frequency Trading for institutional/professional traders vs. retail traders, and Robo-Traders.
• 4.
  Lead FinTech development teams when dealing with stakeholders from business, IT, legal, audit and the regulators.
• 5.
  Manage global FinTech and InsurTech projects and be part of the senior executive team.

On successful completion of the course, students will be able to:

• 1.
  Describe the emerging trend of technology-enabled financial applications.
• 2.
  Explain the quantitative trading with big data.
• 3.
  Explain the role of artificial intelligence in financial applications.
• 4.
  Define the mechanism behind the Cryptocurrency.
• 5.
  Conduct basic financial analytics with Python programming language.

On successful completion of the course, students will be able to:

• 1.
  Develop and implement a risk-based IT audit strategy in compliance with IT audit standards to ensure that key areas are included.
• 2.
  Plan specific audits to determine whether information systems are protected, controlled and provide value to the organization.
• 3.
  Conduct audits in accordance with IT audit standards to achieve planned audit objectives.
• 4.
  Evaluate the effectiveness of the IT governance structure to determine whether IT decisions, directions and performance support the organization's strategies and objectives.
• 5.
  Evaluate the organization's IT policies, standards, and procedures, and the processes for their development, approval, implementation, maintenance, and monitoring, to determine whether they support the IT strategy and comply with regulatory and legal requirements.
• 6.
  Evaluate the organization's business continuity plan to determine the organization's ability to continue essential business operations during the period of an IT disruption.
• 7.
  Evaluate the business case for proposed investments in information systems acquisition, development, maintenance and subsequent retirement to determine whether it meets business objectives.
• 8.
  Evaluate the project management practices and controls to determine whether business requirements are achieved in a cost-effective manner while managing risks to the organization.
• 9.
  Evaluate the information security policies, standards and procedures for completeness and alignment with generally accepted practices.
• 10.
  Evaluate the design, implementation and monitoring of physical access and environmental controls to determine whether information assets are adequately safeguarded.

On successful completion of the course, students will be able to:

• 1.
  Stimulate their curiosity and broaden their perspective by critically analyzing puzzling critical dilemmas that deny some long-held assumptions.
• 2.
  Recognize various concepts and frameworks to explain different aspects of technological innovation from the business strategy perspective.
• 3.
  Apply the concepts and theoretical frameworks learned from the course to analyze the innovation of a chosen company and propose sound and implementable recommendations to the company.

On successful completion of the course, students will be able to:

• 1.
  Explain key concepts in digital and social media strategy.
• 2.
  Develop strategies for viral campaigns.
• 3.
  Implement strategies for handling negative online word-of-mouth.
• 4.
  Develop strategies to engage customers in a mobile-driven economy.
• 5.
  Conduct analyses to support digital/social media strategies and activities.

On successful completion of the course, students will be able to:

• 1.
  Formulate problems to develop research questions.
• 2.
  Achieve correspondence between conceptual and empirical specifications of variance models.
• 3.
  Apply maching learning of structured and unstructured data in the design of variance studies.
• 4.
  Understand construct/scale development and validation.
• 5.
  Do survey design and administration.
• 6.
  Review and discuss examples of experiments in the MIS literature.
• 7.
  Design an experiment in a content area of interest.
• 8.
  Understand what social networks are and history of social network theory and analysis.
• 9.
  Discuss what can be studied from a social network perspective.

On successful completion of the course, students will be able to:

• 1.
  Identify the differences between strategy formulation and execution.
• 2.
  Explain the relations between different tactical decisions.
• 3.
  Explain how each functional/tactical decision affects the success of an organization.
• 4.
  Appreciate the challenges faced by large organizations and the connection between strategy and organizational portfolio of assets and products.
• 5.
  Compare and contrast different analytical tools and their applications.
• 6.
  Compare and contrast the options available to a business in view of the global trends.
• 7.
  Formulate, analyze, and execute a strategy for a virtual company.
• 8.
  Explain how the performance of a company should be assessed and tied to the design and execution of competitive strategies.

On successful completion of the course, students will be able to:

• 1.
  Think critically and structure arguments logically.
• 2.
  Internalize consulting methodologies with hands-on practice.
• 3.
  Analyze the mindset of consultants and decision-makers.
• 4.
  Improve communication, public speaking and rejection handling.

On successful completion of the course, students will be able to:

• 1.
  Analyze the core issues in project management and identify critical success factors.
• 2.
  Solve several project management problems with appropriate tools and techniques.
• 3.
  Compare and contrast different project management methodologies.
• 4.
  Identify the major project deliverables and when they are due.

On successful completion of the course, students will be able to:

• 1.
  Articulate the technology business opportunities and challenges across Asia and China.
• 2.
  Describe how government policies support and accelerate (or limit) technology business development across Asia and China.
• 3.
  Discuss and compare technology businesses in several sectors across Asia and China.
• 4.
  Apply business strategy and planning tools in assessing technology businesses in Asia and China.
• 5.
  Identify, articulate, and discuss critical success factors in developing technology businesses.

On successful completion of the course, students will be able to:

• 1.
  Analyze the core issues and identify critical factors for business decision-making in an entrepreneurship setting.
• 2.
  Approach business problems from alternative and innovative perspectives.
• 3.
  Develop management skills in the context of information systems and solve startup management issues.
• 4.
  Facilitate business innovations via the use of information systems.
• 5.
  Interpret current technology trends and develop plans to leverage these trends.
• 6.
  Communicate with different audiences, including managers, end-users, investors, and other stakeholders using both technical language and business language.

On successful completion of the course, students will be able to:

• 1.
  Learn the necessary technical backgrounds and business insights to become leaders in the AI-transformed economy.
• 2.
  Develop a deep understanding of the potential of AI to transform the business landscape and the tools to navigate this rapidly changing field confidently.
• 3.
  Apply the knowledge and tools to tackle the complex challenges of the AI-transformed economy.

On successful completion of the course, students will be able to:

• 1.
  Recognize and describe statistical methods typically used in the analysis of business data.

On successful completion of the course, students will be able to:

• 1.
  Use the concepts underlying the quantitative tools which deal with multivariate and high dimensional data, and put those tools together with data to draw meaningful conclusions.
• 2.
  Employ classic and advanced approaches used in multivariate and high dimensional data to different areas of business, including terminology and issues specific to finance, marketing, and economics.

On successful completion of the course, students will be able to:

• 1.
  Understand the role of probability in business modelling.
• 2.
  Improve problem solving skills and ability to think critically and independently.
• 3.
  Develop the capability of using probability for understanding complex data structures in business related fields.

On successful completion of the course, students will be able to:

• 1.
  Learn foundations of common statistical approaches for analyzing business data.
• 2.
  Improve problem solving skills and ability to think critically and independently.
• 3.
  Identify various techniques suitable for analyzing conplex data structures in business related fields.
• 4.
  Develop knowledge to understand further specialized analytical techniques for specific areas of business studies.

On successful completion of the course, students will be able to:

• 1.
  Understand the fundamental building blocks of statistics.
• 2.
  Apply basic accounting, and finance knowledge for data analysis.
• 3.
  Understand and apply the core foundational concept of data management.
• 4.
  Communicate and present business solutions with data.
• 5.
  Enhance creative mindset through a good understanding of design thinking.
• 6.
  Apply storytelling and pitching skills in business ideas presentation.

On successful completion of the course, students will be able to:

• 1.
  Use business analytics to formulate and solve business problems and to support managerial decision making.
• 2.
  Identify the processes needed to develop, report, and analyze business data.
• 3.
  Apply selected business analytics software.

On successful completion of the course, students will be able to:

• 1.
  Create a visualization framework and workflow for companies.
• 2.
  Make use of open-source and common visualization analytics tools.
• 3.
  Analyze various types of data using visualization analytics for interactive knowledge exchange and for building business strategies.
• 4.
  Generate visualization reports for business decision making.

On successful completion of the course, students will be able to:

• 1.
  Apply modern data analysis tools ( data exploration methods, modern regression and time sense) to analyze business data.
• 2.
  Analyze business data, in particular financial data, and use statistical software R to do estimation, modeling, and forecasting.

On successful completion of the course, students will be able to:

• 1.
  Smoothly use python to crawl social media data, and to visualize network data.
• 2.
  Take network modeling into account when exploring finance and marketing problems.
• 3.
  Identify topics and trend in the social media.

On successful completion of the course, students will be able to:

• 1.
  Analyze the real business case by utilizing the Python knowledge.
• 2.
  Identify and extract missing values, import and export data, merge or concatenate data.
• 3.
  Develop new variables from the data with all kinds of pandas methods.
• 4.
  Evaluate the performance of models with practical standards.
• 5.
  Apply basic modeling in different business scenarios.

On successful completion of the course, students will be able to:

• 1.
  Recognize the role of data analytics processes in different industries.
• 2.
  Identify the current market trend and development of different sectors.
• 3.
  Identify the critical issues and challenges of analytical functions in business.
• 4.
  Discuss and analyze real business cases.
• 5.
  Enhance communication skills in a real business environment.

On successful completion of the course, students will be able to:

• 1.
  Explain operations from a general management perspective and the link between operations and business models.
• 2.
  Apply basic concepts, performance measures, analytical tools and general principles for analyzing and managing operations.
• 3.
  Better manage the interface between operations and other business functions.
• 4.
  Systematically improve and innovate business models.
• 5.
  Improve problem solving and analytical skills.

On successful completion of the course, students will be able to:

• 1.
  Apply the business process flow concept to represent and analyze the economic activities of service or manufacturing organizations.
• 2.
  Analyze and evaluate the performance of the different business processes in an organization and the systems in the organization as a whole using relevant performance measures by using some basic tools in operations management.
• 3.
  Critically compare and differentiate business processes in similar or different system designs to identify key business processes for continuous improvement of the system.
• 4.
  Design appropriate performance measures for the business processes in different organizations and the supply chains.
• 5.
  Integrate and evaluate the different functional activities in an organization or in a supply chain to create competitive advantages in the global market.

On successful completion of the course, students will be able to:

• 1.
  Develop more confidence and appreciation of the quantitative reasoning skill to approach business problems, evaluate solutions, and make decisions.
• 2.
  Apply advanced quantitative and optimization tools to gain insights from decisions that will help improve business performance.
• 3.
  Make informed decisions involving risks and uncertainty using analytical techniques.
• 4.
  Develop the abilities of leadership and teamwork with effective communication skills in the real business world.

On successful completion of the course, students will be able to:

• 1.
  Compare the strategic values and limitations of enterprise systems.
• 2.
  Discuss the basic concepts and practices of process-oriented management in a global, competitive environment.
• 3.
  Define the skills and knowledge to successfully implement an enterprise system in organizations.
• 4.
  Identify the new development of ERP software and applications for facilitating e-business.
• 5.
  Demonstrate examples of business process integration through the use of ERP core applications and modules.
• 6.
  Identify the tangible benefits of enterprise integration for decision making using ERP in a simulated environment.

On successful completion of the course, students will be able to:

• 1.
  Explain, evaluate and design supply chain flexibility through demand forecasting, information transparency and response time.
• 2.
  Explain, identify and manage the risks in supply chain sourcing and procurement.
• 3.
  Explain, examine and critique some critical global supply chain issues through learning and interaction with senior executives from global corporations.
• 4.
  Explain, examine and evaluate the sustainability, social responsibility as well as the management and decision framework of global supply chain corporations.
• 5.
  Explain and evaluate the impact of the evolving trends in ecommerce, O2O and other technology disruptions in supply chain management.

On successful completion of the course, students will be able to:

• 1.
  Explain and evaluate financial markets and fund flow and distribution channels, the business processes in an economy and in the financial institutions (FI), with focus on banking industry.
• 2.
  Design and critique business processes for improving the productivity and service quality of the FIs.
• 3.
  Integrate and evaluate the different business processes and service experience in the financial organizations to create competitive advantages for the FIs.
• 4.
  The new development and innovations in the financial industries (fintech).
• 5.
  Introducing compliance, risk management for FIs and corporations.

On successful completion of the course, students will be able to:

• 1.
  Distinguish between projects and repetitive operations.
• 2.
  Understand the key issues project managers face in each of the four phases in the project life cycle.
• 3.
  Apply tools and solutions to these issues.

On successful completion of the course, students will be able to:

• 1.
  Recognize operations/ management process in different companies/ industries.
• 2.
  Identify the current development and constraints of specific industries.
• 3.
  Discuss and analyze real business cases.
• 4.
  Enhance communication skills in real business environment.

On successful completion of the course, students will be able to:

• 1.
  Set up and use Excel models to derive quantitative and qualitative insights about a large spectrum of managerial problems.
• 2.
  Have skills around the following aspects: working with Excel; using formulas; manipulating information; analyzing business problems; identifying optimal decisions.
• 3.
  Have a general idea for the kinds of problems that can be tackled quantitatively, the methods available for doing so, and the relevant data that needs to be gathered.

On successful completion of the course, students will be able to:

• 1.
  Adopt a series of quantitative models for managerial decision making.
• 2.
  Develop and upgrade intuition in decision making.
• 3.
  Develop skills of using spreadsheet in solving various management problems.

On successful completion of the course, students will be able to:

• 1.
  Contrast and analyze some of the most important problems in OM in different industries.
• 2.
  Contrast and critique solutions that have been used in practices.
• 3.
  Identify and analyze similar problems in practice; Construct solutions and defend them.
• 4.
  Work effectively in a team and lead a team.
• 5.
  Work with other functions in making operations decisions.
• 6.
  Communicate effectively in oral and written English in assigned task contexts.

On successful completion of the course, students will be able to:

• 1.
  Develop complex simulation models.
• 2.
  Design simulation experiments for those models.
• 3.
  Analyze and interpret the results for various problems in business and manufacturing and service operations management.

On successful completion of the course, students will be able to:

• 1.
  Explain: a) what is logistics as a business function, b) what are its principal activities, and c) how these activities create value to customers.
• 2.
  Analyze some of the most important issues in logistics.
• 3.
  Make effective decisions related to logistics supported by analytical techniques.
• 4.
  Relate logistics to other business functions and work with other functions in making decisions in logistics.
• 5.
  Work effectively in a team and lead a team.
• 6.
  Communicate in oral and written English in assigned talk contexts.

On successful completion of the course, students will be able to:

• 3.
  Master problem solving and/or practical skills relevant to the selected topics

On successful completion of the course, students will be able to:

• 1.
  Conduct thorough literature search and critically assess the information.
• 2.
  Demonstrate the ability to carry out research work independently.
• 3.
  Identify, formulate and solve a research problem.
• 4.
  Generate hypothesis, design and conduct studies as well as to critically analyze and interpret data, and draw significant conclusions.
• 5.
  Write research report in an effective, skilful and professional manner.

On successful completion of the course, students will be able to:

• 1.
  Identify which information systems and/or programming tools/skills should be adopted in different scenarios.
• 2.
  Solve well-defined business problems using information systems and/or programming tools/skills.
• 3.
  Apply information systems management and project management skills to handle real-life problems.
• 4.
  Develop business strategies based on information systems solution.
• 5.
  Develop professional presentation and report writing skills.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate self-learning ability and research skills.
• 2.
  Develop a critical understanding and ability to apply theoretical knowledge in a self-directed learning environment.
• 3.
  Acquire advanced-level understanding on specific area of Information Systems.
• 4.
  Write report in an effective, skilful and professional manner.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the literature in business statistics.
• 2.
  Apply their specialized knowledge to solve related business problems in an innovative fashion.
• 3.
  Demonstrate a broad based knowledge of core business functions.
• 4.
  Integrate functional knowledge to solve business problems related to operations management.
• 5.
  Present their discipline knowledge clearly to layman.

On successful completion of the course, students will be able to:

• 1.
  Use selected advanced techniques in business analytics to handle real-life problems.

On successful completion of the course, students will be able to:

• 1.
  Identify which business analytics tools should be adopted in some scenarios.
• 2.
  Solve well-defined business problems using analytics.
• 3.
  Apply business analytics to handle real-life problems.
• 4.
  Propose business strategies based on business analytics solution.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the literature in business statistics.
• 2.
  Apply their specialized knowledge to solve related business problems in an innovative fashion.
• 3.
  Demonstrate a broad based knowledge of core business functions.
• 4.
  Integrate functional knowledge to solve business problems related to operations management.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the literature in operations management.
• 2.
  Apply their specialized knowledge to solve related business problems in an innovative fashion.
• 3.
  Demonstrate a broad based knowledge of core business functions.
• 4.
  Integrate functional knowledge to solve business problems related to operations management.
• 5.
  Present their discipline knowledge clearly to layman.

On successful completion of the course, students will be able to:

• 1.
  Plan and execute a real business project in the global operations management domain.
• 2.
  Gain an experience of applying technical/analytical and organizational/behavioral concepts and tools learned to an actual operations and business process.
• 3.
  Gain first-hand experience in project execution, including data collection and analysis and effectively working together as part of a consulting project team.
• 4.
  Create professional presentations and reports.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the literature in operations management.
• 2.
  Apply their specialized knowledge to solve related business problems in an innovative fashion.
• 3.
  Demonstrate a broad based knowledge of core business functions.
• 4.
  Integrate functional knowledge to solve business problems related to operations management.

On successful completion of the course, students will be able to:

• 1.
  Get familiar with the IS literature in one's area of specialization. (for Mphil in IS)
• 2.
  Perform independent substantive scholarly research. (for Mphil in IS)
• 3.
  Write at least one research article with high quality. (for Mphil in IS)
• 4.
  Present one's research to the general public clearly. (for Mphil in IS)
• 5.
  Demonstrate a sound grasp of the literature in operations management/business statistics. (for Mphil in OM)
• 6.
  Apply their specialized knowledge to solve related business problems in an innovative fashion. (for Mphil in OM)
• 7.
  Demonstrate a broad based knowledge of core business functions. (for Mphil in OM)
• 8.
  Integrate functional knowledge to solve business problems related to operations management. (for Mphil in OM)

On successful completion of the course, students will be able to:

• 1.
  Understand the research, challenges, and ooportunities in digital innovation, platform ecosystems, and crowdfunding.
• 2.
  Understand the nature of the sharing econmy and its effects in terms of ecnomoic impact and regulation.
• 3.
  Understand what is meant by the four industrial revolution and how it could have an impact on research.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the literature in operations management.
• 2.
  Apply their specialized knowledge to solve related business problems in an innovative fashion.
• 3.
  Demonstrate a broad based knowledge of core business functions.
• 4.
  Integrate functional knowledge to solve business problems related to operations management.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate a sound grasp of the broad IS literature and specialized papers in one's research area. (for PhD in IS)
• 2.
  Perform multiple independent substantive scholarly research. (for PhD in IS)
• 3.
  Write three or more research articles with high quality. (for PhD in IS)
• 4.
  Present one's research in seminars, workshops, and other occasions effectively. (for PhD in IS)
• 5.
  Demonstrate a sound grasp of the literature in operations management/business statistics. (for PhD in OM)
• 6.
  Apply their specialized knowledge to solve related business problems in an innovative fashion. (PhD in OM)
• 7.
  Demonstrate a broad based knowledge of core business functions. (for PhD in OM)
• 8.
  Integrate functional knowledge to solve business problems related to operations management. (for PhD in OM)