MTIM CURRICULUM

 

 

A' SEMESTER

 

 

 

A/A

COURSE TITLE

HOURS

ECTS

DESCRIPTION

1

Production & Operations Management

39

7.5

Production & Operations Management: This course emphasizes processes and the management of these processes to improve quality. Τhe course concentrates on process analysis: learning how to measure key process parameters, like capacity and lead time, and how to improve a process through approaches such as finding and removing bottlenecks or instituting better division and allocation of work. The second part focuses on variability and its effect on quality and process improvement efforts: examining the foundations of queuing theory, simulation as an analysis tool, and various quality management and control principles.
Supply Chain Management: the role of the supply chain management in every enterprise and every organization is analyzed. All stages of the supply chain are presented and the most important problems of the supply chain are formulated. Que management, quality assurance, production systems, project management, inventory management, logistics management, Supply Chain Management for Innovative products.
Organizational Behavior and Human Resources Management: The course examines all levels in the hierarchy and the ramifications of policy formulation, recruitment and selection, training and development, wage and salary administration, morale, absenteeism, turnover, and union-management relations.

2

Decision Analysis & Risk Management

39

7.5

The purpose of this course is to provide students with various methods and tools for the structuring, representation, analysis, and evaluation of decision making problems. Emphasis will be given to situations involving risk and uncertainty. Students will be introduced to Multicriteria Decision Making Methods and how it can be applied to problems involving multiple conflicting objectives. Case studies from management, finance, and engineering.
Risk Management addresses this emergent field of  conceptually, technically and speculatively by examining the tools, techniques and approaches used to identify measure and manage business risks which are designed to enable managers to create value in the face of the ever changing environment confronting them. The course makes extensive use of case studies and research reports.

3

Business Economics & Finance

39

7.5

Fundamental economics knowledge: supply and demand, consumer behavior, firm behavior, market structure, long-run economic growth, economic cycle, financial system, monetary policy, and fiscal policy.
Fundamental corporate finance knowledge (standard MBA course): corporate finance, investor protection, corporate governance, financial information, financial markets.
Plus: price theory, production theory, trade theory, taxation and business law

4

Innovation Management & Entrepreneurship

39

7.5

Project life cycle. Project selection. Project organization, scheduling, planning, budgeting, monitoring and control. Outsourcing and contract management.  Project appraisal.  Project team dynamics.  This module equips you with the knowledge to understand, and the skills to manage, innovation at operational and strategic levels. The management of innovation is inherently interdisciplinary and multi-functional, so we aim here to provide you with an integrative approach to the management of innovation. Specifically, we aim to integrate the management of market, technological and organizational change to improve the competitiveness of firms and effectiveness of other organizations. You will explore the argument that the process of innovation management is essentially generic, although organization, technological and market specific factors will constrain choices and actions.

 

A' SEMESTER ECTS

156

30

 

 

B' SEMESTER

 

 

 

1

New Product and Service Development

39

7.5

Introduction, market environment, market trends, product requirements, development methods, competitive analysis, Competitive Maps, market opportunities,  market share analysis, simulation, marketing of new products and systems, product launch (product features and benefits, pricing, channel selection, communications).
Introduction to Electronic Business. Information Technology and Electronic Commerce. Internet, intranets, extranets. Electronic Marketing. On-line market research. eServices. e-commerce business models and concepts, E-Marketplaces. Electronic commerce & customer modeling. Electronic Commerce & Positioning. Virtual Enterprises. Workflow Management. Tele-work. Distance Learning. Electronic payment systems. Electronic documents management. E-banking. E-Democracy. EGovernment. Search Engines. Information retrieval and filtering. User modeling. Security-Authentication. Web-based IS. Electronic Commerce Applications.

2

Market Analysis & Consumer Behavior

39

7.5

Introduction to market research, Consumer Behaviour, Consumer Decision Making, Market research types, Basic market research tools, Sampling and special topics in measurement, Quantitative data analysis methods, Data Analysis and interpretation, Basic consumer behavior models, Post-purchase consumer behavior and customer satisfaction, Customer satisfaction surveys.
Managing Innovation & Business Negotiations. Project life-cycle. Project selection. Project organization, scheduling, planning, budgeting, monitoring and control. Outsourcing and contract management. Project appraisal. Project team dynamics.
This module equips you with the knowledge to understand, and the skills to manage, innovation at operational and strategic levels. The management of innovation is inherently interdisciplinary and multi-functional, so we aim here to provide you with an integrative approach to the management of innovation. Specifically, we aim to integrate the management of market, technological and organisational change to improve the competitiveness of firms and effectiveness of other organisations. You will explore the argument that the process of innovation management is essentially generic, although organisation, technological and market specific factors will constrain choices and actions.
Negotiations is the art and science of creating agreements or recognizing the boundaries of disagreements between two or more parties operating in the same space. Designed to improve negotiation skills, this class develops your ability to: identify opportunities to negotiate, prepare for negotiations, build your confidence in negotiations, and analyze and manage the negotiation process.

5

Legal Aspects of Entrepreneurship and Intellectual Property

39

7.5

Practical and intensive, this course examines the critical legal issues confronting start-up and emerging growth companies. Equally applicable to more mature, established companies, the context of the course is early stage companies, providing perspective on how to use the law strategically to manage risk, deploy resources, and maximize shareholder value. Topics include the enforceability of confidentiality, non-competition, and other restrictive covenants in employment agreements; choice of business form including the legal, financial, and tax advantages/disadvantages of general/limited partnerships, corporations, and limited liability companies; tax and securities law aspects of raising capital; structuring venture capital, and private equity financing; letters of intent and mergers/acquisitions; employment law; and intellectual property law.
Invention in a scientific research environment and its protection, Inventor’s qualities; duties and rights, benefits. IP management in start-ups; Patents, trade secrets, designs, trademarks; Evaluating Intellectual Property for Commercialization; The process of patenting; Contracts with employees, partners, service providers; government support, investments, company failure. Alternative vanues of IP monitization: open innovation networks.

9

Business Intelligence and Knowledge Management

39

7.5

Big Data and Data Analytics. Storage, retrieval, analysis of Big Data; programs and algorithms for processing; graphical models, spatio-temporal analysis and cognitive analytics plathforms
Business Intelligence and Knowledge Management. Introduction, Business Intelligence, Business Intelligence and Decision Making, Design and Development of Business Intelligence Systems, Optimizing Business Performance with Business Intelligence Systems, Knowledge Management, Importance of Knowledge Management, Data representation (relational and OLAP), Data Mining, Structured and Unstructured Information, Knowledge capture, acquisition and elicitation, Knowledge representation methods, Transformation, Data Analysis and Reporting, Statistical Analysis Methods. Knowledge Management Systems.
Disruptive Technologies. State of Art in the technology development in this field; research projects at TUC; draft proposal of a product/service based on department research

 

B' SEMESTER ECTS

156

30

 
 

MASTER THESIS

 

15

 
 

TOTAL HOURS & ECTS

312

75