Overview

The MSc in e-Business and Digital Marketing Programme is being offered by the School of Science & Technology of the University Center of International Programmes of Studies of the International Hellenic University.

The programme aims to provide graduate level studies and its objective is e-Business. It is targeted at graduates who wish to acquire expertise in digital technologies and e-business and digital marketing. Entrepreneurial skills, when combined with deep technical knowledge, can lead to producing innovative ideas in the global competitive e-Business environment. This postgraduate course aims at providing balanced and well-designed training in the principles of Information Technology (software and telecommunications) applied to e-Business and Marketing practices, as well as the essential managerial and financing skills needed to start-up and successfully run an e-Business.

The 18-month course will appeal to graduates pursuing a career in a range of entrepreneurial, managerial and marketing positions in the ICT or other similar IT-oriented domain in the emergent creative economy.

The syllabus provides a combination of theoretical knowledge and practical skills, focusing on e-Business/e-Commerce applications and the underlying technologies:

  • Project management, leadership and team working
  • Management and marketing
  • Entrepreneurial skills and knowledge needed to develop start-up businesses
  • Key skills on strategic decisions, regarding innovation and technology management,
  • Essential communication skills
  • Exercise practice-oriented teaching based on case studies and real-world examples
  • Skills related to data analysis and evaluation
  • Planning and time management

The MSc in e-Business and Digital Marketing programme promotes learning and teaching characterised by a diversity of resources and teaching styles and techniques, which recognise that the University operates in an ever-changing environment. Teaching and learning methods should assist the development of these skills, by encouraging not merely the capacity for abstract reasoning, but also the students’ capacities for independent and self-motivated learning, problem-solving skills, and some of the knowledge and skills, which are common to employment in many fields.

This programme is designed for University graduates of Telecommunications, Informatics/Computer Science, and Electrical Engineering but also of Natural Sciences and Economic and Business Departments, with a background in ICT and a strong motivation to pursue a career in e-Business and Digital Marketing related domains. The courses of the programme are taught exclusively in English. The academic staff comes from Universities in Greece and abroad.

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Key facts
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Start date: October 2023

Application deadline extension: 30 September 2023  or until places are filled

Campus: Thermi, Thessaloniki

Duration/Mode: 18 months (full-time) or 30 months (part-time)/(available also in distance learning mode)/weekdays evenings

Taught language: English

Entry requirements: An undergraduate degree from an accredited University

Language requirements: English language knowledge documented with a relevant certificate, corresponding at least to the State Certificate of Language Learning Level B2 or other certificate proving good knowledge of English. Holders of an undergraduate or postgraduate degree at a Foreign University in English are exempt from this obligation.

Fees: 3,700€ (total)

How to apply: Programme announcement- 2nd Phase of Admission of Graduate Students (en+gr

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Who can apply

To be considered for the programme, candidates are required to have:

  • an undergraduate University degree in Engineering, Science, Informatics, Economics & Business Administration as well as from Technological Educational Institutes in related subject areas, in Greece or equivalent institutions from abroad (interested parties that expect to complete their first cycle studies in September may submit an application with their academic transcript so far)
  • English language knowledge documented with a relevant certificate, corresponding at least to the State Certificate of Language Learning Level B2 or other certificate proving good knowledge of English. Holders of an undergraduate or postgraduate degree at a Foreign University in English are exempt from this obligation.

Course content

The core courses

1st Term Core Courses

Instructor(s):Prof. V. Peristeras
Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The purpose of this course is to provide a broad understanding of the importance of ICT systems in the modern business environment so that the management makes the right decisions on issues relating to information systems. The course focuses on issues of information systems integration within the organization, information systems utilization according to the organization’s capabilities and its implications on processes and individuals, as well as information resources management. Topics covered include process analysis, project analysis, production planning and scheduling, ICT systems and new business models, quality management, supply chain management, capacity and facilities planning. The course also develops basic macroeconomic theory to enable managers to critically evaluate economic forecasts and policy recommendations and then applies these concepts in a series of case studies.

Learning Outcomes

Upon completing this course, students will:

  • Develop analytical skills in planning, evaluating and supervising a project in ICT
  • Develop skills in Evaluating and Sustaining Production Quality in ICT
  • Understand some basic elements of Supply Chain Management
  • Develop skills in Human Resource and Workforce allocation and management
  • Broaden their experience through several case study examples

Content

  • Process and Project Analysis
  • Production Planning and Scheduling
  • Quality Management
  • ICT Systems and New Business Models; E-Commerce, Decision Making
  • Capacity and Facilities planning
  • Workforce Scheduling
  • Project Valuation and Financing
  • Case Studies

Reading

  • E. Turban, L. Volonino, Information Technology for Management, 8th Edition, 2010, John Wiley & Sons, Inc.
  • Oz E. Management Information Systems, Course Technology, 6th edition.
  • J. Laudon, K. Laudon, Essentials of Management Information Systems, Prentice Hall, 8th edition.
  • M.H. Sherif, Managing Projects in Telecommunication Services, Wiley-IEEE Press.

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course  Assessment:Exam & Coursework (one mini project, one main assignment)

Aims

The course contemplates the subject of Digital Marketing. At first it briefly deals with the basic concepts of the Marketing Science and digital consumer behavior.  Then, it introduces all the facets of the digital world and the utilization of web technologies. After understanding the whole digital landscape, we see in detail the different tools and strategies, to achieve our promotional goals. During the course, various tools are demonstrated and practiced. The course also examines how these goals fit into the more strategic marketing plan.

Learning Outcomes

Upon successful completion of this course, students will be efficient at Digital marketing campaign planning, based on scientific analysis of all available data. Students will also be able to address the challenges of the new era of Big Data, Web Technologies, and Digital Marketing.

Content

  • The importance of Digital Marketing.
  • The impact of COVID-19 on Digital Marketing & Consumer Behavior
  • Big Data and Digital Marketing: A New Era.
  • The foundations of Web Development, HTML Basicsand the WordPress CMS
  • About Organic & Paid Digital Marketing (Pay-Per-Click Advertising, Google Ads)
  • About the Google Algorithms & Updates, Google Search Engines, Crawling & Indexing
  • Search Engine Optimization (SEO): Business SEO trends, Technical SEO (HTML), Content SEO (Readability), Social Media & SEO, Mobile SEO, etc.
  • Keywords Research & Competitor Analysis
  • Gamification and trends in Marketing

Learning Strategy

  • The sessions include lectures, demonstrations, assignments, and interactive material like (case- studies, tools, quizzes & games.)
  • This course is very practical and there will be practical elements to undertake in almost every session. Students will also have the opportunity to develop from scratch professional websites, aiming to optimize their SEO and content marketing elements.
  • Students will contribute to class discussions related to SEO strategies, paid campaigns, and website optimization approaches. The purpose of this is to develop skills in articulating problems, implementing practical solutions (fixing the issue) and identifying/evaluating alternative approaches used both in Organic and Paid Website search results.

Reading

  • Digital Marketing Strategy: An integrated approach to online marketing 2nd edition (2019) Author: Simon Kingsnorth
  • Understanding Digital Marketing: Marketing Strategies for Engaging the Digital Generation Paperback – by Damian Ryan
  • Marketing in the Age of Google: Your Online Strategy IS Your Business Strategy, Vanessa Fox
  • E-Business and E-Commerce Management: Strategy, Implementation and Practice, 5/E by Dave Chaffey.

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course  Assessment:Exam & Coursework (one mini project, one main assignment)

Aims

The course contemplates the subject of Web Analytics. At first it deals with the basic concepts of digital analytics and user experience (UX), introducing the different tools and approaches (e.g., web analytics, social analytics, UX analytics: heatmaps, gaze plots, etc.). In parallel it explains the aspects of Big Data and AI integration to efficiently track and interpret user behavior in the Web.  Then, it jumps into the world of the Google Analytics platform to work on real website data, and understand how to interpret user behavior through KPIs, define user target groups, conduct user segmentation, recognize issues and limitations, and exploit such knowledge to optimize the website elements and the marketing strategy. Finally, the course teaches the basics of statistical analysis for behavioral research and through group assignments the students can statistically analyze the exported web analytics data to interpret and predict user behavior. No prior knowledge on statistics is required. At the end, students will have all the necessary skills and knowledge to create web analytics reports for every area of business, analyze the findings, recognize UX and technical issues to pass to web developer experts, and suggest business aligned marketing solutions.

Learning Outcomes

Upon successful completion of this course, students will be efficient at reporting and analyzing web analytics data to adjust and optimize their digital marketing strategies.

Students will:

  • Understand web analytics concepts, principles, and strategies
  • Learn the state-of-the-art in web analytics tools and technologies
  • Develop the knowledge to utilize web analytics to gain competitive advantage
  • Recognise the role of web analytics within the digital marketing landscape
  • Identify, define, and interpret commonly used web metrics and KPIs
  • Conduct a set of statistical analyses on web analytic metrics.
  • Gain a practical understanding of common monitoring or analysis tasks and techniques used in web analytics and how to effectively use the resulting insights to support website design decisions, campaign optimisation, search analytics, etc.

Students will also develop knowledge/skills and critical thinking through case studies and academic articles, quizzes, and games.

Learning Strategy  

  • The sessions include lectures, demonstrations and assignment-based work.
  • This course is very practical and there will be practical elements to undertake in almost each of the sessions.
  • The students will have the opportunity to get a hands-on experience on popular web analytics platforms and data analysis software.

Reading

  1. Web Analytics 2.0. The Art of online accountability & science of customer centricity (2010) Author: Avinash Kaushik
  2. Research methods for the Behavioral Sciences (2nd Edition)  by Charles Stangor
  3. Digital Marketing Strategy: An integrated approach to online marketing  2nd edition (2019) Author: Simon Kingsnorth

Instructor(s):Prof. V. Peristeras
Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The course examines the impact of data science in modern private and public organisations and presents challenges, opportunities and trends in the field. The students will gain the necessary conceptual understanding of the uprising “data economy” with its underlying technological and business characteristics. Business cases will be presented and discussed, while specific business problems will be matched with new data technologies. Data/information management and interoperability topics will be also presented and discussed.

Learning Outcomes

On completing the course, students will be able to:

  • Understand the scope of data science and the role/function of data scientists.
  • Identify different types of data that are relevant in business environments.
  • Know which data science solutions can address specific types of business problems.
  • Be able to design a data governance policy.
  • Understand challenges and opportunity in the data-driven economy and public policy.

Content

  • Defining Data Science.
  • Data-analytic thinking.
  • Big/smart/open/linked/meta/reference/master data.
  • Data interoperability.
  • The data value chain.
  • Business problems and data science solutions.
  • Data governance.
  • Data for policy.
  • Data-driven economy.

Reading

  • Data Science for Business, Foster Provost, Tom Fawcett, O’Reilly Media, 2013.

Instructor(s):Prof. C. Tjortjis
Dr. M. Gatzianas
Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

This course is intended for students with little or no background in computer technology. It offers a broad coverage of modern technology concepts, outlining the basic principles of computing. ICT Essentials is an introduction to a variety of technologies and their applications, such as:

  • Computer Systems Architecture
  • Operating Systems
  • Software Architecture and Information Systems
  • Databases and Storage Systems
  • Computer Networks, the Internet & the World Wide Web
  • Mobile Computing
  • Data Science and Business Analytics
  • Big Data and Cloud Computing
  • Information and Network Security

Learning Outcomes

The overall goal is not to turn managers into computer specialists but to provide them with the technological background that will allow them to

  • make informed business decisions based on the utilization of technology
  • effectively interact with the technical staff

Recommended Reading

  1. Brian Williams and Stacey Sawyer, Using Information Technology, 11th Ed., 2015, McGraw Hill
  2. R. Kelly Rainer, Brad Prince, Casey G. Cegielski, Introduction to Information Systems, 5th Ed. Int’l Student Version, 2014, Wiley.
  3. Carol V. Brown, Daniel W. DeHayes, Jeffrey A. Hoffer, Wainright E. Martin, William C. Perkins, Managing Information Technology, 7/E, 2012, Pearson.
  4. Preston Gralla, “How the Internet works”, 8th edition, Que Publishing.
  5. John Petersen, “Absolute beginner’s guide to databases”, Que Publishing.
  6. V. Anton Spraul, “How software works: the magic behind encryption, CGI, search engines and other everyday technologies”, No Starch Press.

2nd Term Core Courses

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The course aims at introducing the student to the reality of the entrepreneur and the central issues related to the preparation of an e-business entrepreneurial project. The focus is on the entrepreneurial process, from recognizing opportunities and generating ideas, through the enterprise formation and financing, to the international expansion of a new venture. Methods for assessing a business and for developing financial statements are discussed. Students will also be equipped with the required skill set for developing a business plan.

Learning Outcomes

Having successfully completed the course, students will:

  • Learn the basic principles of entrepreneurship and innovation
  • Learn to recognize business ideas and evaluate business opportunities
  • Learn how to build a team around the opportunity
  • Learn how to assess and gain control of the required resources (e.g. financial)
  • Have an overview of the major strategic and operational issues that typically confront young growing businesses
  • Become acquainted with writing a business plan
  • Learn through examples of successful and unsuccessful enterprises and case studies from high-technology ventures
  • Exit strategies

Content

  • Introduction to digital entrepreneurship and innovation
  • Opportunity exploration and exploitation
  • Methodologies for analysing, specifying, designing and launching digital businesses
  • Disciplined Entrepreneurship
  • Creativity and entrepreneurial problem solving
  • Business Plan
  • Financing an e-business
  • Exit strategies

Reading

  • Baron, R., & Shane, S. (2007). Entrepreneurship: A process perspective. Cengage Learning. Chicago.
  • Tidd, J., & Bessant, J (2005). Managing Innovation: Integrating Technological, Market and Organisational Change, John Wiley & Sons Ltd.
  • Barringer, B. R., & Ireland, D. Entrepreneurship: Successfully Launching New Ventures, 4th Ed., Pearson Education, 2012.
  • Mariotti, S., & Glackin, C. Entrepreneurship: Starting and Operating a Small Business, 2nd Ed., Prentice Hall, 2010.
  • Spinelli, S., & Adams, R. New Venture Creation: Entrepreneurship for the 21st Century, 9th Ed., McGraw-Hill, 2012.
  • Chaffey, D. e-Business and e-Commerce Management, 5th Edition. FT Prentice Hall, 2011.
  • Baron, R., & Shane, S. (2007). Entrepreneurship: A process perspective. Cengage Learning. Chicago.
  • Tidd, J., & Bessant, J (2005). Managing Innovation: Integrating Technological, Market and Organisational Change, John Wiley & Sons Ltd.
  • Aulet, B. (2013). Disciplined entrepreneurship: 24 steps to a successful startup. John Wiley & Sons.

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework (one mini project, one main assignment)

Aims

With the rise of Social Media (SM), SM data analytics and SM content marketing have become increasingly popular with businesses, researchers, marketers, and the general public.

This course aims to teach the fundamentals of SM marketing and data analytics focusing on tools and methodologies to align SM returns with the business value.

Students will be introduced on the main data models and the fundamentals of social network analysis (SNA), being involved in several SNA use case discussions on social, politics and business related topics.

Both theoretical and practical concepts will be explained, assisting students to realize the tight links between web/data science and marketing strategies in today’s social networking era.

Students will also be assigned a mini project to get deeper insights of a popular social media platform and its tools.

The course will include in-course workshops on SM data retrieval, content curation, keywords research and SM design strategies for business campaigns.

Learning Outcomes

Upon successful completion of this course, students will be able to design and implement a successful SM marketing, research and content plan for a list of popular social media network sites, and utilize available tools for research and content optimization. Students will also gain the required knowledge to extract SM data, define KPIs and recognize/use the appropriate types of data analytics to interpret SM business returns.

Content

  • Introduction to Social Networks and Data Models
  • Social Network Analysis – Use Cases
  • Social Media Types, Tools and Management Platforms, Content Curation tools and methods, Keyword research tools and methods, Competitor analysis tools and methods
  • Social Media Marketing for Business: theory and practice
  • Buyer Personas and Consumer Segmentation
  • Social Media Content Marketing Strategies, use cases of ‘successful’ firms and campaigns
  • Instagram & Facebook Marketing and Research Plan
  • Instagram & Facebook Relationship Building
  • Social media metrics and KPIs, defining engagement in different networks and contexts
  • Social Media Data Analytics and Business Value
  • Web Application Programming Interfaces (APIs), Social Media APIs (Introducing the Graph API) and Data Retrieval

Reading

  1. Social Media Marketing Workbook: How to Use Social Media for Business . (2019). Jason McDonald
  2. Creating Value With Social Media Analytics: Managing, Aligning, and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia, & Search Engines Data (2018). Gohar F. Kha n
  3. Social Network Analysis: Methods and Examples (2017). Song Yang Franziska B Keller Lu Zheng

Instructor(s):Prof. V. Peristeras
Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The aim of this course is to broaden and expand knowledge of the concepts and techniques required for the design, operation and control of the modern upcoming e-commerce applications and e-government systems that are massively introduced by western governments to fight bureaucracy. The essential computing background to support such systems is presented, along with the individual requirements for a wide variety of modern life activities that can be performed online.

Learning Outcomes

On completing the course students will:

  • Develop knowledge of the information and communication skills to support and develop this type of information systems
  • Broaden their knowledge into e-commerce, covering business, marketing, organisational and payment security issues
  • Explain the concepts, processes behind developing an e-learning facility
  • Understand the technological, ethical, legal and practical requirements of an electronic government information system

Content

  • Current and emerging business models
  • The use of information and communications technology
  • Mobile commerce
  • E-marketing and e-business strategy
  • E-consumer behaviour and advertisement
  • Organisational and managerial challenges in the electronic environment
  • E-Payment systems
  • E-learning; security issues and the legal environment
  • Understanding eGovernment
  • eAdministration/G2G
  • eCitizens/ eAccountability
  • eDemocracy/eParticipation
  • eServices/G2C & G2B
  • Legislation for eGovernment
  • Integrated eGovernment, Group Presentations

Reading

Laudon K., Guercio-Traver C. (2008) E-Commerce 2009: Business, Technology, Society, Prentice Hall, 5th edition.

Turban E., Lee J. K., King D., McKay J., Marshall P., (2008) Electronic Commerce 2008, Prentice Hall. Abramson M., Morin T. (2003) E-Government 2003, Rowman & Littlefield, Lanham, MD.

Heeks R. B. (2006) Implementing and Managing eGovernment: An International Text, Sage Publications, London

The elective courses

During the second term students tailor their programme further by choosing elective courses. The choice of elective courses must sum up to 12 ECTS (2 courses). Some of the elective courses may not be offered in a particular year, depending entirely on student demand.

Instructor:Prof. Bozanis
Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The big data explosion has led to new computing paradigms, the most prevalent among them being cloud computing. Cloud computing is about vast computing resources on demand, that allow for centralized data storage and online access. Big data is a broad term that includes several concepts and tasks, such as data capture, storage, sharing, management and analysis. This course focuses mostly on the big data storage and management part, rather than the analysis as well as cloud service models, architectures and tools. Students will familiarize with modern big data and cloud technologies, understand the privacy and security concerns and learn about popular big data and cloud computing platforms.

Learning Outcomes

On completing the course, students will be able to:

  • Develop the knowledge, understanding and skills to work with Big Data.
  • Deploy a structured lifecycle approach to data analytics problems.
  • Apply appropriate analytic techniques and tools to analyzing big data.
  • Understand Cloud Computing Concepts and Mechanisms.
  • Learn the concepts, principles, techniques and methodologies you need to manage cloud services and resources.

Content

  • Big data concepts, principles and practical applications.
  • Big data capture, storage, sharing, management and analysis.
  • Cloud Computing Concepts and Mechanisms.
  • Cloud Architectures.
  • Working with Clouds.
  • Managing Cloud Services and Resources.
  • Big Data and cloud computing platforms.

Reading

  • T. Erl, R. Puttini, Z. Mahmood, Cloud Computing: Concepts, Technology & Architecture, Pearson, 2013.
  • EMC Education Services (Editor), Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, Wiley 2015.

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Aims

The course provides students with the ability to analyze the drivers of competitive strategy and apply strategic management principles across a range of organization types. Additionally, the course presents frameworks for identifying the challenges of various competitive environments and discusses useful analytical approaches applied in widely different strategic problems. Students understand how to build a strategically responsive e-Business organization by tuning systems, structures and people to strategy, and how to effectively manage the process of strategizing.

Learning Outcomes

On completing the course students will:

  • Demonstrate an understanding of the principles of strategic management
  • Analyze the global business environment and critically discuss its impact on contemporary strategic thinking
  • Prepare and deliver senior management reports and presentations
  • Justify and promote strategic initiatives, such as adopting a new technology and contribute to strategic technical decisions
  • Define and quantify the benefits, costs, risks and time-scales associated with new strategic initiatives
  • Demonstrate an array of skills and techniques for evaluating emerging technologies in enterprise and e-Business applications
  • Understand the key issues and frameworks that e-Business practitioners need to grapple with

Content

  • The global business environment and the strategic context
  • Business strategy and strategic management
  • Strategy selection and formulation
  • Corporate objectives, organizational analysis and environment scanning
  • Strategic analysis: Internal and external analysis
  • Financial and non-financial comparative measurement, PEST and market scanning
  • Strategic planning: Optimization, co-ordination and negotiation approaches
  • Appropriate tools and techniques: SWOT, TOWS, scenario planning, portfolio planning, value chain analysis and crafting strategy
  • Managing and planning the transition to e-Business
  • Emergent e-Business models

Reading

Campbell, D., Edgar, D., & Stonehouse, G. Business Strategy: An Introduction, 3rd Edition. Palgrave Macmillan, 2011.

Combe, C. Introduction to e-Business: Management and Strategy, Butterworth-Heinemann, 2006.

Jelassi, T., & Enders, A. Strategies for e-Business: Concepts and Cases, 2nd Edition. FT/Prentice Hall/Pearson Education, 2008.

Johnson, G., Scholes, K., & Whittingtoon, R. Exploring Corporate Strategy, 8th Edition. FT/Prentice Hall, 2008.

Instructor(s): Prof. C. Tjortjis
Teaching Hours and Credit Allocation:   30 Hours, 6 Credits
Course Assessment:  Exam & Coursework

Aims

The course covers Knowledge Discovery in Databases (KDD) and Data Mining (DM) as a set of computational tools and technologies, which provide valuable assistance for business analysis and strategic business decision making. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, classification, prediction, and clustering. Students will learn how to apply various data mining techniques for solving practical problems and how to develop and use simple business analytics systems.

Learning Outcomes

On completing the course, students will be able to:

  • Organise and efficiently process any knowledge, either given a priori or extracted
  • Understand the basic concepts of data mining
  • Understand and apply various data mining approaches, including Classification, Clustering and Association Rules.
  • Understand, evaluate and utilise knowledge extracted from large volumes of data.

Content

  • Introduction to Knowledge Discovery in Databases (KDD) and Data Mining (DM).
  • Classification.
  • Clustering.
  • Association Rules.
  • DM Systems, Data pre-processing and Evaluation.

Reading

  • J. Han and M. Kamber, Data Mining: Concepts and Techniques, 3rd ed., The Morgan Kaufmann Series in Data Management Systems, Morgan Kaufmann Publishers, 2011.
  • I. Witten, E. Frank, and M. Hall, “Data Mining: Practical Machine Learning Tools and Techniques”, 3rd Ed., Morgan Kaufmann, 2011.
  • J. Ledolter, Data Mining and Business Analytics with R, Wiley, 2013.
  • P.N. Tan, M. Steinbach, and V. Kumar, “Introduction to Data Mining” Int’l Ed., 1/e, Pearson Higher Education, 2006.
  • R. Sharda, D. Delen, E. Turban, Decision Support and Business Intelligence Systems Int’l Ed. 10/E, Pearson Higher Education, 2015.
  • M.H. Dunham, “Data Mining: Introductory and Advanced Topics”, Prentice Hall, 2003.
  • M.M. Gaber (ed.), Journeys to data mining: experiences from 15 renowned researchers, Springer, 2012.

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

Computers have been a part of every aspect of human life for quite a while. A vast number of computing technologies, paradigms, architectures, solutions, applications etc. were born, evolved, matured and died, to give their place in new ones that can harness the ever growing potential of a continuously evolving landscape. Human creativity and ingenuity has played a crucial role in these developments. However, the software market has gone beyond discovering new technologies or improving the existing ones. Except from being operational, software has to be not just easy to use but also intuitive, engaging and pleasant. Human-Computer Interaction (HCI) is a field that addresses the need to create user interfaces that can improve user experience, increase productivity while at the same time providing an environment that is safe and comfortable. HCI involves a confluence of many different disciplines, such as graphic design, cognitive science and psychology, education etc. Therefore, a familiarization of basic concepts of non-computing fields is necessary.

Content

  •   Human cognition & perception
  •   Usability & UX design: components, testing, report
  •   Prototyping: Design static and interactive prototypes of website interfaces and mobile apps
  •   Biometric User Research & Affective Computing: FaceTracking tools and application
  •   User Research for UX:
  • Data collection through questionnaires, interviews, focus groups & observation
  • Mixed analysis
  • Quantitative (Questionnaires)
  • Qualitative: Thematic analysis (open-ended questions, interviews, reviews, comments, etc.)

Reading

  1. Interaction Design: Beyond Human-Computer Interaction –  2019 by Helen Sharp (Author), Jennifer Preece (Author), Yvonne Rogers (Author)
  2. Human Computer Interaction –  2007 by Prof Alan Dix (Author), Janet E. Finlay (Author), Gregory D. Abowd (Author), Russell Beale (Author)
  3. UX Methods: A Quick Guide to User Experience Research Methods – 2017 by James Pannafino  (Author), Patrick McNeil  (Author)

Teaching Hours and Credit Allocation:30 Hours, 6 Credits
Course Assessment:Exam & Coursework

One of the most popular quotes in statistic is “In God we trust, others must provide data”. In today’s globalized digital economy, it becomes more evident that data-driven decisions are gaining ground on the traditional approach that is based on experience, intuition and limited information. Business and marketing managers now rely on informative and market analyses to gain evidence-based insight οn the dynamics of the economic landscape. This requires a systematic research and analysis if the target market in order to evaluate their products and services against the competition. To achieve this, they should be able to conduct quantitative and qualitative research that involves tasks that expand from the correct formulation of the research question, the critical study of the available literature, the collection and analysis of relevant data and the delivery of the results in professional, well-structured and informative reports and presentations.

Learning Outcomes

  • Foundations of marketing/management research
  • Conducting a literature review
  • Collecting data
  • Quantitative and qualitative data analysis
  • Formulating research questions
  • Questionnaire design
  • Business writing

Content

  • Introduction to market research
  • Review of market research concepts and definitions
  • Research design formulation
  • Data collection and preparation
  • Quantitative analysis (hypothesis testing)
  • Qualitative analysis
  • Exploratory and descriptive analysis
  • Market reporting and business writing

Reading

  • Naresh Malhotra, Marketing Research: an Applied Orientation, Sixth Edition, ISBN 13: 978-0-13-608543-0, Pearson Prentice Hall
  • Saunders, M., Lewis, P. and Thornhill, A. (2012). Research Methods for Business Students.
  • Corbin, Juliet and Anselm Strauss (2008). Basics of Qualitative Research.
  • Exploring Marketing Research, 8th edition, by William G. Zikmund, Thomson/South-Western, 2003.

Credit Allocation:6 Credits
Course Assessment:Final deliverable

Aims

The Consulting Project will require students to apply knowledge gained in classroom into practice. Students will tackle real-life problems and challenges facing companies or organisations in order to provide actual business solutions. Following a procedure of specifications/requirements, design and implementation, students will prepare and present their concrete and practical solutions in a final deliverable report.

Learning Outcomes

On completing the course, students will be able to:

  • Understand real-world problem faced by companies/firms and propose functional solutions.
  • Develop critical thinking and ability to integrate data and information towards the optimal solution.
  • Understand the structure, operational mode and challenges of real-world companies.

Content

  • Understanding and recording a company’s needs and challenges.
  • Project requirements.
  • Data analysis, implementation and company feedback.
  • Producing a deliverable.

Part-timers attend the following courses during the two (2) years of studies: 1st Year Term 1: ICT Management, ICT Essentials | Term 2: Digital Entrepreneurship: Developing and Financing an e-Business, Social Media and Online Community Management, Digital Organisations: eCommerce and eGovernment 2nd Year Term 1: Digital Marketing, Web Analytics, Data Science for Business: Theory and Practice | Term 2: Two (2) electives | Term 3: Dissertation

The Dissertation

During the third term, students work on their Masters Dissertation project, the thematic area of which is relevant to their programme of studies and their interests. The dissertation provides a good opportunity to apply theory and concepts learned in different courses to a real-world e-Business problem or challenge. Students are supervised throughout their projects by a member of the academic faculty and the academic assistants. After submission of the dissertation, students present their projects to classmates and faculty at a special event.

Duration of studies

The duration of the full-time study programme in order to obtain the MA degree is three (3) academic semesters. For students who so wish, there is also the possibility, upon request, of attending the programme on a part–time basis. In this case, the duration of the MA will be five (5) academic semesters. Lectures mainly take place on weekday evenings. The programme is also available through distance learning. Distance Learning teaching methods involve: (a) Face-to-face or classroom based learning: Students will be required to be physically present at the University for a weekend at the beginning of each semester (b) Synchronous learning: Student will have to attend remotely the classes which will be held regularly during each semester, weekday afternoons (about 2-4 times per week depending on the mode, always after 17:00) and possible Saturday morning  (c) Asynchronous learning: Students will use online learning resources and will be assessed through a variety of diagnostic tools and formative assessment techniques (d) Summative assessment: Students will be typically required to be physically present at the University for the final exams at the end of each semester.

The Academic Faculty

Faculty Members

Dr Christos Tjortjis Dr Christos Tjortjis Associate Professor
Dean of the School
+30 2310 807576
c.tjortjis@ihu.edu.gr
Dr Maria Drakaki Professor Maria Drakaki
Deputy Dean of the School
+30 2310 807524
mdrakaki@ihu.gr
Professor Panayiotis Bozanis Professor Panayiotis Bozanis
+30 2310 807501
pbozanis@ihu.gr
Dr Eleni Heracleous Dr Eleni Heracleous
Associate Professor
e.heracleous@ihu.edu.gr
Dr Vassilios Peristeras Dr Vassilios Peristeras Associate Professor
+30 2310 807539
v.peristeras@ihu.edu.gr
Dr D.Tzetzis Dr Dimitrios Tzetzis Associate Professor
+30 2310 807548
d.tzetzis@ihu.edu.gr
Dr D.Tzetzis Dr Spiros Papakostas Assistant Professor
spapakostas@ihu.edu.gr

Other Research and Teaching Personnel

Dr Christos Berberidis Dr Christos Berberidis Research and Teaching Staff +30 2310 807534 c.berberidis@ihu.edu.gr
Dr Dimitrios Baltatzis Dr Dimitrios Baltatzis Research and Teaching Staff d.baltatzis@ihu.edu.gr
Dr Georgios Martinopoulos Dr Georgios Martinopoulos Academic Associate +30 2310 807533 g.martinopoulos@ihu.edu.gr
Image not available Dr Leonidas Akritidis Academic Associate
Image not available Dr Dimitrios Karapiperis Academic Associate
Image not available Dr Paraskevas Koukaras Academic Associate
Image not available Dr Nikolaos Serketzis Academic Associate
Image not available Dr Katerina Tzafilkou Academic Associate

Visiting Faculty

  • Dr Ioannis Magnisalis
  • Prof. Panagiotis Tzionas
  • Prof. Konstantinos Asimakopoulos
  • Prof. Stavros Stavrinides
  • Dr. Despoina Elisabeth Filippidou
  • Dr Paris Kokorotsikos

Fees & Financing

Fees

The programme fees for the MSc in e-Business and Digital Marketing is 3700€. The amount is payable in two instalments for the full time mode or in four instalments for the part time mode at the beginning of each semester. The fees are also eligible for financing through LAEK 0,45% – OAED programme.

Deposits

If you have been accepted to a postgraduate programme, you will need to make a payment of the deposit of 500 Euros to secure your place. This amount will count towards the first instalment of your tuition fees. The deposit is non-refundable once you have commenced your studies at the IHU. Prior to that, a refund can be made but a 20% administrative fee will be retained. The deposit can be paid by bank transfer or bank draft. Credit card payments can be made through electronic banking (contact your Bank as handling fees may apply).

Scholarships

The School of Science & Technology offers a number of scholarships for the programmes it offers, covering a significant proportion of the fees. These scholarships are competitive. Award criteria include the quality of the first degree, the undergraduate grades of the candidate, his/her command of the English language and overall profile. Candidates for scholarships should include a separate letter with their application documents in which they request to be considered for a scholarship, stating the reasons why they think they qualify.

Programme announcement – Admissions

Next MSc in e-Business and Digital Marketing class starts in October 2023. The application deadline for the MSc programme has been extended. Interested parties are invited to submit their application from July 1st, 2023 to September 30th, 2023 or until places are filled, by following instructions at the application page.

Ideal Career path

In a rapidly evolving market, startups but also established ICT companies require experts with a deep understanding of both technological and business aspects of entrepreneurship. Graduates from the MSc in e-Business and Digital Marketing programme can play a pivotal role in the growth and internationalization of virtually any company or organization, helping to bridge the gap between technology and business, by utilizing their knowledge in the new business models, the emerging technologies and the management and exploitation of innovation. Therefore, a multitude of employment opportunities are envisaged for graduates of this programme. Indicatively they include:

  • ICT companies
  • New technology startups
  • Multinational Corporations and Small and Medium Enterprises (SMEs)
  • e-Commerce and Health software companies
  • Mobile network providers and broadband Internet providers
  • Sensor networks and telematics companies
  • Venture capitals and hedge funds
  • Consulting companies

In addition to technical skills gained through study, our students benefit from the University’s excellent Careers Office, in order to attain essential soft skills (e.g. communication skills, interview preparation, CV writing etc.) to better prepare for the job market.

Location

The MSc in e-Business and Digital Marketing takes place in the facilities of the School of Science & Technology of the University Center of International Programmes of Studies of the International Hellenic University in Thermi-Thessaloniki.

Contact

Postal address: School of Science & Technology Department of School of Science & Technology University Center of International Programmes of Studies 14th km Thessaloniki – Nea Moudania 570 01 Thermi, Thessaloniki, Greece Tel: +30 2310 807 529 Email: : infotech@ihu.edu.gr