This document provides information about an MBA in International Hospitality Management program offered jointly by Keystone Global India and SHG Group. The 2-year program includes 6 months of coursework in India, followed by 18 months of study at SHG Geneva campus in Paris. Students also complete a 9-month paid internship. Graduates receive a 2-year Schengen visa allowing them to live and work in Europe. The program provides hospitality education at schools accredited by EHSAC and AHLEI and aims to prepare students for careers in the international hospitality industry.

1. Making International Education Affordable

2. Chiripal
Petrochemicals
Spinning
Weaving
Knitting
Chemicals
Education
(SEIL)
Infrastructure

4. Affordability
Unique
IFLP
Program
Multiple
Intakes in
a year

5. Why study in Germany?

6. Because Germany...
 has high academic and living
standards at a reasonable cost
 offers an outstanding research
infrastructure
 is home to almost 300,000
international university students

7. Because Germany...
 is a convenient
base from which
to explore Europe
 provides a chance to
learn German, Europe’s
most-spoken
language
 enables access
to (a) vibrant
culture(s)

8. Cost of Living and Studying
 Cost of Living: Euro 700-850/month
(2 year Masters degree =
max. Euro 20,400)
 Student Fees: Between Euro 0-300
per semester, incl. transit pass
 Work Permission: 90-180 days/year

9. Advantage of Schengen visa Germany
• A Schengen Tourism /
Visitor visa to Germany is
a visa established by
the Schengen states, which gives
the opportunity to its holder to
visit not only Germany, but also
all of the 26 Schengen member
countries. It is issued in the form
of a sticker affixed to the
passport of the traveler.

10. Job opportunities in Germany
• With an increasingly older population, workers in the
geriatric, health and nursing professions are also in
short supply. English teaching, casual work and
hospitality jobs are also available. There are several
large international firms in Germany, such as Adidas,
BMW, MAN, Siemens, Volkswagen, Daimler and Eon.

11. • Main Industries Of Germany
• Germany is dominated by manufacturing industries including
automotive, chemicals, metals such as iron and steel, electrical
equipment, coal, ships, machine tools, high precision equipment,
optics, pharmaceuticals, textiles, and plastic goods.
The five largest publicly traded German companies by turnover:
• Volkswagen. With its twelve brands, this automobile
manufacturer is the undisputed number one among the largest
German companies.
• Daimler.
• Allianz.
• BMW.
• Siemens.

12. These are the top 10 demanded IT skills jobs in Germany:
• DevOps Engineer.
• Data Scientist.
• Lead Security Architect.
• Information Security Manager.
• Cloud Architect.
• Machine Learning Engineer.
• IoT Developer.
• Big Data Engineer.

14. We hope to see you
soon in Germany!

15. With Keystone Global

20. Master in Science (M.sc)
Big Data and
Business
Analytics
Marketing and
Media Digital
Communication
Industry 4.0

21. Keystone Campus
1st Year - 2 Semesters
FOM Essen Campus
2nd Year – 2 Semesters

22. Highlights of the Program
FOM Top Private University
29 Campuses Across Germany
Industry Oriented Curriculum
Affordable and Competitive tuition fees
Extended visa facility upto18 months after graduation

23.  https://www.daad.de/deutschland/in-deutschland/arbeit/en/12362-
career-planning/
 https://www.glassdoor.co.in/Job/germany-big-data-jobs-
SRCH_IL.0,7_IN96_KO8,16.htm
 https://www.glassdoor.co.in/Job/france-big-data-jobs-
SRCH_IL.0,6_IN86_KO7,15.htm
 https://www.glassdoor.co.in/Job/uk-big-data-jobs-
SRCH_IL.0,2_IN2_KO3,11.htm
Job Opportunities

24. Masters in Big Data BCS
BBA – IT
BCA
Engineering
Masters in Marketing
and Media Digital
Communication
Bachelor in
any stream
Academic Grade
– Min 50%

25. Assisting students in preparing CV and
Interviews
FOM has cooperation with 800
German Companies which is
added advantage

26. Course Content in India
Semester - 1 Semester-2
Big Data Architecture and Infrastructure Applied Programming
Decision Focused Management Analysis of Semi and Unstructured Data
Leadership and Sustainability Project Management and Big data
projects
Big Data Analytics Area of Application: Business Analysis
Information Security Ethics and Law

27. Semester-3 Semester-4
Big Data Consulting Project Master-Thesis Colloquium
Research Methods Applied Project - II
Big Data Analysis Project
Strategic Business Model Development
Applied project - I

28. 1st Semester
Digitization in Marketing
•Digital transformation of marketing
•Big Data
•online marketing
•Social Media & Mobile Marketing
Advertising and media psychology
•media use
•Psychological media effect
•Psychological models of advertising impact
•Methods of advertising and media psychology
Scientific methodology
•Qualitative and quantitative research methods
•Quantitative data analysis (applications with R,
statistical test methods, multivariate methods)
Decision-oriented management
•Classic Decision Making
•Management decisions from a psychological point of
view
•Decisions in the strategy context
2nd semester
communication tools
•Perceptual channels and their importance for
communication
•communication models
•Integrated corporate communications
•public relations
•Brand Management
Marketing and communication planning
•Phases of marketing planning
•communication concept
•Determination of the communication budget
•Measuring the communication effect
•public relations
Leadership & Sustainability
•Leadership theories, styles, techniques and tools
•Normative & strategic corporate governance as a
starting point for diversity and
sustainability aspects
•Anchoring sustainability in the value chain
•Ethical aspects regarding leadership and sustainability

29. 3rd semester
(s) CRM
•Basics of CRM
•customer satisfaction
•Customer loyalty and customer loyalty
management
•customer value
•Analytical CRM
•Implementation
Project: Empirical Research
Electronic business
•Construction and conception of systems in e-
business
•Processes in e-business
•Management in e-business
4th semester
International Marketing Management
•Market and environment analysis
•Targeting / Consumer Behavior
•Service Marketing
•Tangible goods marketing
•Strategic marketing in an international context
•Operational Marketing
Project: advertising and communication
campaigns
Scientific Methods in Marketing & Sales
Research
•Selection of methods in marketing and sales
research
•Preparation of an Exposé in preparation for the
Master's thesis

30. Sample Certificate By FOM

31. Msc IR 4.0
• Module 1 : Information Systems in Production
• Module 2 : Big Data & Analytics
• Module 3 : Connectivity, Cloud Computing &
Internet of Things
• Module 4 : Information-Security
• Module 5 : Artificial Intelligence
• Module 6 : Technology & Sustainability
• Module 7 : Design Thinking & Business Model
Innovation

32. Module 1 : Information Systems in Production
• Product development systems o PLM (Product Lifecycle Management)
• o CAD/CAM (computer-aided design / computer-aided manufacturing)
• Production planning systems o ERP (Enterprise Ressource Planning)
• o PPS (production planning and control)
• o APS (Advanced Planing and Scheduling)
• o SCM (Supply Chain Management)
• Production management systems o MES (Manufacturing Execution
Systems)
• o MDE / BDE (machine data acquisition / production data acquisition)
• Case Study

33. Module 2 : Big Data & Analytics
Data science challenges o Work relevance Data scientist
• Knowledge worker (BI user, knowledge
manager)
Analytics opportunities
• o Connectivity and networks (persons,
processes, systems)
• o Innovation management and open
innovation
Big Data Analytics
• Modulhandbuch Master-Studiengang Industry
4.0 & Management | 14
• o Data-driven enterprise, data-driven business
models
• o Potentials of big data for business processes
and value chains
• Procedures o Requirements for a big data
procedure
• o Data science process model
o Data service architectures
o Data platforms and industrial data space
Data sources and data classification o Scheme-bound dat
o Semi-structured data
o Unstructured data
Visualisation mechanisms and concepts o Visual analytics
Visualisation techniques
Visualisation tools
Graphic modelling
Knowledge discovery and data mining
o Explorative data analysis
o Self-service and mobile use in the area of big data
Location intelligence and open data
Predictive analytics
Statistical analysis and test procedures for big data
Methods of artificial intelligence o Machine learning an
learning
o Learning aspects and overfitting
o Computational intelligence Fuzzy logic
Neuronal networks
Evolutionary algorithms

34. Connectivity, Cloud Computing & Internet of Things
Connectivity o Networking
• o Mobile radio (3G/4G/5G)
• o Mobile devices
• o M2M
• o Mobile operating systems
• o Social and economic impacts
Connectivity, Cloud Computing &
Internet of Things
• Modulhandbuch Master-Studiengang
Industry 4.0 & Management | 19
• Cloud Computing o Architecture
• o Service concepts
• o Intersection Big-Data und AI
Sensor system o Temperature sensors
o Position and acceleration sensors
o Pressure sensors
o RFID sensors
o Camera and laser scanners
o GPS receiver
o Magnetic field sensors
o Intelligent and networked sensors
Intelligent Things o Properties and abilities of
intelligent things & LBS
o Identification, sensors, actuators, decision
making, communication
o Identification with RFID, barcode
o Information exchange with W-Lan,
Bluetooth,...
o Position determination with GPS or indoor
navigation

35. Information-Security
• Curriculum
• Introduction o Module goals
• o Examination modalities
• o Activating teaching methods
• o Literature
• Starting point and challenges o Ethical and
political aspects
• o Definition of data protection / IT security
• o Definition of data supervisor / IT security officer
• Technical basis o Basic knowledge of
cryptography
• o Protection objectives of IT security
• o The 8 rules of data security
• o Protection requirement analysis
• o Security management
• Threats and risks o Risk analysis / types of threat
• o Attack vectors and scenarios
Information-Security
Modulhandbuch Master-Studiengang Industry 4.0
Management | 23
Threat prevention o Implementation of
technical/organisational measures
o Managerial tasks
ISMS o Process models
o Implementation of an ISMS
o Return on security investment
o Typical problems, case studies

36. Artificial Intelligence
• Development of the AI and
essential concepts o Review of the
development of the AI
• o Artificial Intelligence and
Machine Learning - Basics and
Definitions
• Agents o Intelligent Agents
• o Logical Agents
• o Planning and Acting
• Knowledge-based systems o
Representation of knowledge
• o Inference method
• o Expert systems
• Logics o Propositional logic
• o Predicate logic
• o Fuzzy logic
Search algorithms o Problems and solution
methods
o Applications
Machine Learning and Data Mining o NLP
(Natural Language Processing)
o Probabilistic models
o Learning methods
Ethical and social impact of the use of AI
Opportunities and limits of the AI
Digital business models and innovations
through AI

37. Smart Technologies within the Value Chain
Cirriculum
1.Overview of the use of relevant industry 4.0 technologies in the business
processes of a manufacturing company. Classification of the facts learned in
the previous modules (Production IT, Big Data Analytics, Internet of Things,
Artificial Intelligence) into this overall view.
2.Detailed consideration of relevant industry 4.0 technologies within
individual business process sections, in particular: o Product development:
especially virtual reality and simulation applications, digital twins.
3.Manufacturing / Assembly: especially Production Data Mining Tools, 3D-
Printing, Modular Production, Digital Traceability.
4.Maintenance, repair, service: especially augmented reality, remote services,
predictive maintenance.

38. Technology & Sustainability
After successfully completing the module, students are able to
• embed the development of the model of sustainable development in the
historical process,
Explain the global and temporal dimensions of sustainability and the
importance of intercultural competence in addressing global sustainability
challenges.
• Analyse the roles of different actors, in particular enterprises, in
sustainable development,
• explain the relevance of sustainability assessments for the engineering
sciences,
• outline the contribution of technology and technology transfer to
sustainable development,
• formulate the ambivalent role of technical innovations for social and
economic systems and to draw conclusions for sustainable management,
• identify and analyse fields of technology that play an important role in
sustainable development (environmental technology).

39. Teaching methods
Sustainability - Basics o History of the term
• o Development of the sustainability model
• o The 3-pillar model: ecology, economy and social issues
The roles of different actors in sustainable development o The role of politics
• o The role of enterprises
• o The role of consumers
Sustainability assessment of products, services and processes o life cycle assessment
• o natural capital calculation
Technology transfer as an instrument of sustainable development o basics
Examples
Technology and technology impact assessment o basics
Reasons for increasing need for impact assessment
Sustainability relevant fields of technology o Waste Disposal / Recycling Management
• o Mobility and transport
• o Energy
• o construction

40. Design Thinking & Business Model Innovation
• Curriculum
• Lean Start-up
• o Entrepreneurship and Entrepreneurship
• o Overview of different lean start-up approaches
• o Possible applications in practice
• Use methods of design thinking to formulate comprehensible and
innovative problem and solution spaces,
• Basic principles of design thinking Business systems and portals
• o Design Thinking-micro- and –macro-processes
• o Design Thinking methods within the phases of Design Thinking
• The students work on a practice-oriented task within the
framework of the module. At the end of the module, each
participant should receive individual feedback.

41. Digital Factory & Cyber-Physical Systems
• Module goal
• After successfully completing the module, students are able to
• explain the characteristics and characteristics of a digital factory and cyber-physical
production systems, taking into account the methods learned for product and process
planning as well as the technical principles of IOT,
• develop and analyse scenarios for the implementation of autonomous production and
corresponding logistics chains,
• identify and interpret the most important elements of robotics and autonomous systems
and applications,
• explain the interrelationships between collaborative manufacturing and human-machine
interaction,
• explain the structure and architecture of robot subsystems in a way that is both technically
and technologically application-oriented and cross-industry,
• understand the basic technical aspects of robot kinematics,
• assess and classify the challenges and requirements of digital manufacturing technology,
• evaluate the specific processes of additive manufacturing with regard to their technical and
economic application possibilities,
• name the concrete design requirements of the specific additive manufacturing processes,

42. Research Methods
• Curriculum
• Empirical Research Overview
• Scientific theories
• Research problem and topic
• Research and theoretical background
• Examination design o Operationalization
• o Sampling and data collection
• o Data processing and analysis
• Results presentation

43. Enterprise Architecture Management
• Curriculum
• Summary EAM o Business-/IT-Alignment,
• o Corporate and IT-Governance,
• o Motivation EAM,
• o EAM-Pyramid
• Organizational anchoring of EAM o
Application portfolio management,
• o EAM processes and committees,
• o EAM frameworks,
• o EAM introduction
• Business and IT-Strategy o Corporate
strategies,
• o IT strategies
• o value contribution,
• o strategic alignment,
• o strategic positioning of IT
• IT systems and IT architectures
Basics of process implementation with
standard software,
o modern architectural principles and their
management (e.g. Microservices, IoT)
 EAM-Tools o Software Cartography,
o Market Overview EAM Software,
o Examples and Exercises EAM Tools
Applied Project I & II
Thesis
German Language
& Soft Skills Will Extra

44. MBA in International Hospitality
Management

45. Based in Geneva, Switzerland, SHG Group is an
International Hospitality Group having several Hotel
Management Schools & Business Schools like the SHG
Geneva.
SHG GROUP

46. SHG Swiss Education
SHG Swiss Hotels
SHG Swiss Consulting

47. • SHG Swiss Education has several top hospitality schools offering
Under-Graduate and Post-Graduate Degrees in Hotel Management
Education such as Diploma (2 years), and Bachelors' degree
(3 to 4 Years), all over the world.
• Our hotel & tourism schools teach all professions in the
hospitality industry.

48. SHG Geneva - https://shggeneva.com/
SHG Paris - https://shgparis.org/
(Options in Paris)
SHG – Milano - https://shgmilano.com/

49. SHG Lyon - https://shglyon.com/ SHG Nice - https://shgnice.com/
SHG Marseille - https://shgmarseille.com/ SHG – Strasbourg - https://shgstrasbourg.com/

50. EHSAC European Hospitality
Schools Accreditations Council
AHLEI American Hotel &
Lodging Educational Institute

51. SHG is now partnering with Keystone Global India to create
a unique pathway program offering the Masters in International Hospitality
Management (MIHM)
6 Months India
18 Months Paris 9 Months Paid Internship
At the end of the two year MIHM degree you get a two year Schengen work visa which
allows you to stay and work in Europe

53. INDIA PARIS
6 Months
(SHG Paris – April to
September 2020)
18 Months
• 6-month academic courses
(from October 2020 to March 2021) +
• 6-month paid-internship offered by SHG
(from April to September 2021) +
• 3-month academic courses (October to
December 2021) +
• 3-month paid-internship offered by
SHG (January to March 2022)

54. SEMESTER – 1 INDIA
6-month academic courses in India
at Keystone campus
SEMESTER – 2 FRANCE
6-month academic courses
in Paris
SEMESTER – 3 FRANCE
6-month paid-internship in
France offered by SHG
SEMESTER – 4 FRANCE
3-month academic courses in Paris
3-month paid-internship in France offered by SHG
PROGRAM: MBA IN INTERNATIONAL HOSPITALITY MANAGEMENT (MIHM)
(120 credits)

55. • Graduate degree in any of the following-
• Commerce
• Science
• Arts
• English proficiency certificate or IELTS/PTE

56. PATHWAY PROGRAM COSTS (ALL FIGURES IN INR)
UG-B.BUSS(After 12th ) PG – MIHM (After Grad) PG (Masters)
Pathway Breakup (1 Year India + 2 Australia)
(6 Months India + 18
Months)France
(1 year India + 1 Year
Germany)
Torrens SHG FOM
Fee in India 600000 480000 708000
Hostel Fees in India 0 0 0
Fee off shore 2000000 1300000 680000
Accommodation and
food off shore 720000 864000 514000
Total Cost of program 3320000 2644000 1902000
Revenues from part
time jobs 1960000 547200 790400
Revenues from
Internships 720000 288000
Total Revenues of
the program 1960000 1267200 1078400
Net out of pocket
expense 1360000 1376800 8230600

57. Approvals and Accreditations