Big Data & Business Analytics draft draft draft

Program Overview

The Big Data & Business Analytics Master's program at FOM Hochschule is a four-semester, full-time program taught entirely in English. The program is designed for professionals with a background in (business) informatics, mathematics, or statistics. The program's objective is to train students in the corporate value of data by bridging the gap between logic and quantitative methods, programming languages, frameworks and infrastructure, to the interpretation and implementation of the results in business processes. Graduates of the program may find careers in the business, IT, and finance industries as business analysts, consultants, project managers, researchers, data analysts, and other roles in which data analytics and business intelligence skills are valued.

Program Outline

Outline:

• The Big Data & Business Analytics Master's program at FOM Hochschule is a four-semester, full-time program taught entirely in English.
• The program is designed for (economic-) programmers, engineers, and scientists, as well as mathematicians and statisticians with a share of at least 60 credit points in (business) informatics modules or subject-related modules (e.g.
mathematics, statistics).
• The program's objective is to train students in the corporate value of data by bridging the gap between logic and quantitative methods, programming languages, frameworks and infrastructure, to the interpretation and implementation of the results in business processes

Modules

• 1st Semester
• Big Data Architecture & Infrastructure (5 CP)
• Enterprise architecture management (EAM)
• Technological requirements for big data
• Vital infrastructures for data-driven business models
• Complex processing by continuous data sets
• Decision Focussed Management (6 CP)
• Traditional decision theory
• Management decisions from a psychological perspective
• Decisions in a strategy context
• Leadership & Sustainability
• Leadership as part of normative, strategic and operative business management and in the context of diversity management
• Leadership styles, techniques and instruments
• Ethics and sustainability
• Data Analytics(6 CP)
• Data sources and data classification
• Visual analytics/data discovery/explorative data analysis
• AI methods such as machine learning
• Computational intelligence: fuzzy logic,
• neural networks, evolutionary
algorithms
• Deutsch (6 CP)
• Fundamentals in listening, reading, writing and speaking
• Basic grammatical skills
• Application in situations of everyday life
• 2ndSemester
• Applied Programming
• Basic principles and applications of programming languages for big data:SQL, R and python
• Languages and tools for data management
• Data integrationETL v. ELT
• Analysis of Semi- &
Unstructured Data(5 CP)
• Crawling and pre-processing, text mining/
web mining
• Social media analytics
• Ontologies and semantic/graphic
• modeling/technologies
• Project
• Management of
Big Data projects(5 CP)

• Area of Application:
• Business Analytics(5 CP)
• Ethics & Law (5CP)
Ethical aspects of big data,
• legal aspects of big data
• Compliance, Information -
• Security (6 CP))
• Technical
• Basis: Threats, and risk
• Threat
• prevention
ISMS
• 3rd Semester
• Big Data consulting project
(6 CP):
• Big
data applications as a driver for a Business strategy
• Strategy
approaches and strategic planning
• and management
instruments Data
• based
• business model and Business
• Transformation Open Innovation/ innovation
• management Big Data Analysis
• project(6 CP) Applied project (6 CP)
• 4th Semester
• Master’s thesis and
• colloquium (25 CP)
Applied Project (6 CP)
• Teaching: The program is taught by faculty with expertise in business, data science, and technology.
The teaching methods include lectures, seminars, case studies, project work, and research. The program also has an international orientation, with students from all over the world. The language of instruction is English.
• Careers: Graduates of the Master’s Program in Big Data Analytics & Business Analytics may find careers in the business, IT, finance industries as business analysts, consultants, project managers, researchers, data analysts and other roles in which data analytics and
business intelligence skills are valued.

Tuition Fees and Payment Information:

• Total costs: 22.500,00 euro
• including registration fee, tuition fee and examination fee
• registration fee
580,00 euro one-time payment registation fee. Participants who have already completed or are taking a course of study or a recognised continuing education programme at one of the institutes belonging to the BCW Group pay half the enrolment fee.
• tuition fee
570,00 euro
• examination fee
350,00 euro
• The examination fee will be charged again if the student resubmits their thesis.
• Total fees payable in two installments (before the start of studies) or in three installments.
The first installment (enrollment fee of €1,580) is payable upon receipt of the Offer Letter to confirm the place. After that, the rest can be paid in one installment (€20,920). Otherwise, students can split the fees into a second and third installment. The second installment must be paid before the start of the program and includes, among other things, the tuition fees for the first two semesters and the examination fees (2nd installment of €12,177). The third installment must be paid before the start of the 3rd semester and consists of the tuition fees of the 3rd and 4th semester (2nd installment à €8,743).