Bachelor of Applied Data Science & Business Analytics

Program Overview

The B.Sc. Applied Data Science & Business Analytics program combines business fundamentals with data analysis, machine learning, and digital transformation. Through practical internships, consulting projects, and guest lectures from industry professionals, students gain the skills to analyze data, develop data-driven solutions, and contribute to the digital transformation of businesses. The international focus, with campuses in Germany and partner universities worldwide, prepares graduates for global careers in technology, finance, and other data-driven industries.

Program Outline

Applied Data Science & Business Analytics Program Details:

The program combines the basics of business administration with current trends and challenges of big data and applied data science trends.

Objectives: To equip students with the knowledge and skills to analyze data, develop data-driven solutions, and contribute to the digital transformation of businesses.

Target Audience: Individuals interested in data analysis, machine learning, mathematical methods, and digital transformation.

Key Facts about this Program:

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• Program Name: B.Sc. Applied Data Science & Business Analytics
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• Degree Awarded: Bachelor of Science
• Duration: 6 semesters (7 semesters with Global Track)
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• Start Dates: September (fall term) and March (spring term)
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• Campus locations: The program is offered at four campuses in Germany: Dortmund, Frankfurt, Munich, Hamburg.
• Accreditations: AACSB, FIBAA, German Accreditation Council
• Language of Instruction: 100% English
• Additional Languages: German is compulsory for international students, French, Italian or Spanish is compulsory for German-speaking students
• Practical Experience: 20 weeks compulsory internships, workshops, excursions

• The application process consists of uploading certain documents, passing two brief online tests in Maths and English language and a short interview with ISM staff in which your motivation to study and the results from the online tests will be discussed.

Program Content - Bachelor of Applied Business Analytics

1. Semester

Business Administration 1

Principles of Business Economics

• Introduction to Business Administration, Procurement & Production (2,5 ECTS)
• Marketing (2,5 ECTS)

Business Administration 2

Financial Reporting

• Financial Accounting 1(2,5 ECTS)
• Financial Reporting & Business Taxation 1 (2,5 ECTS)

Mathematical Basics

• Business Mathematics (2,5 ECTS)
• Statistics 1 (2,5 ECTS)

Business English 1

• Business Correspondence (2 ECTS)

Program Specifics

Programming/Tools

• Introduction to Programming (R/Python) (2,5 ECTS)
• SPSS (2,5 ECTS)

Core Competencies

• Scientific Methods (1 ECTS)
• Calculation Software (1 ECTS)
• Rhetoric (1 ECTS)
• Project Management (1 ECTS)
• Introduction to Business Analytics & Data Science (1 ECTS)

Second foreign language

• German 1, French 1, Spanish 1 or Italian 1 (3 ECTS)

Internship possible

2. Semester

Business Administration 3

Managerial Accounting

• Investment & Financing (2,5 ECTS)
• Cost Accounting (2,5 ECTS)

Economics 1

Principles of Economics

• Microeconomics (2,5 ECTS)
• Macroeconomics (2,5 ECTS)

Applied Statistics

• Statistics 2 (2,5 ECTS)
• Market Research (2,5 ECTS)

Business English 2

• Moderation & Presentation (2 ECTS)

Program Specifics

Analytics & Dynamics

• Predictions in Time (2,5 ECTS)
• Introduction to Panel Analytics (2,5 ECTS)

Applied Data Science 1

• Inferential Methods (2,5 ECTS)
• Multivariate Methods (2,5 ECTS)

Second foreign language

• German 2, French 2, Spanish 2 or Italian 2 (3 ECTS)

Voluntary Optional Classes

• SPSS (Statistics Software)
• Further foreign language (e.g. Spanish, French)

Internship possible

3. Semester

Business Administration 4

Human Resources & Organization Management

• Human Resource Management (2,5 ECTS)
• Organization (2,5 ECTS)

Business Admistration 5

Business Management

• Principles of Corporate Management (2,5 ECTS)
• Service Management (2,5 ECTS)

Economics 2

Basics of Political Economy

• Economic Policy (2,5 ECTS)
• Corporate Social Responsibility (2,5 ECTS)

Business English 3

• Negotiation (2 ECTS)

Program Specifics

Market Analytics

• Applied B2C Analytics (2,5 ECTS)
• Applied B2B Analytics (2,5 ECTS)

Applied Data Science 2

• Introduction to Big Data (2,5 ECTS)
• Regression Models (2,5 ECTS)

Second foreign language

• German 3, French 3, Spanish 3 or Italian 3 (3 ECTS)

Voluntary Optional Classes

• ERP-Systems (SAP)
• Further foreign language (e.g. Spanish, Italian, French)

Internship possible

4. Semester - Integrated Semester Abroad

You will spend the fouth semester of your studies abroad at a partner university abroad (24 ECTS).

Internship possible

5. Semester

Field Project

• Field Project Celonis Process Mining (e.g. Celonis, Deloitte, Jungheinrich, Tawny, Adesso, EOS, FETTE) (5 ECTS)

Business Research

• Simulation (R/Python) (4 ECTS)
• Business Modelling (2 ECTS)

E-Business

• E-Procurement (2 ECTS)
• Digital Process Management (2 ECTS)
• E-Commerce (2 ECTS)

Practical Seminar (5 ECTS)

General Management

• Strategic Management (2 ECTS)
• Leadership & Motivation (2 ECTS)
• Crisis Management & Recapitalization (2 ECTS)

Second foreign language

• German 4, French 4, Spanish 4 or Italian 4 (1 ECTS)

Further elective classes

• Standard Software 3 (Excel)
• Further foreign languages (Spanish, Italian, French)

Internship possible

6. Semester

Business Appplications in DA/DS

• Product/Sales (2 ECTS)
• Traffic Analysis & Online Marketing (2 ECTS)
• IT (2 ECTS)

Information Transfer

• Reporting & Data Visualization (2 ECTS)
• SQL Data Modeling (2 ECTS)
• Process Mining (2 ECTS)

Consulting

• Consulting Instruments (2 ECTS)
• Management of Consulting Projects (2 ECTS)
• Consulting Project/Tender Pitch (2 ECTS)

Second foreign language

• German 5, French 5, Spanish 5 or Italian 5 (1 ECTS)

BACHELOR THESIS (11 ECTS)

Optional 7. Semester: Second Semester Abroad

During the seventh semester you can optionally spend a second semester abroad (this is called the "Global Track").

Teaching:

• Teaching Methods: The program emphasizes practical learning through consulting projects, workshops, and experienced lecturers from the business world.
• Faculty: The program features 56 international and guest lecturers from the business world.

Careers:

• Potential Career Paths: Data Scientist, Business Analyst, Data Analyst, Data Engineer, Machine Learning Engineer, Digital Marketing Analyst, Business Intelligence Analyst.
• Opportunities: The program prepares students for international careers in various industries, including technology, finance, consulting, and marketing.
• Outcomes: Graduates will be equipped with the skills and knowledge to analyze data, develop data-driven solutions, and contribute to the digital transformation of businesses.

Other:

• International Focus: The program emphasizes internationality with students from 84 nationalities and 30% international students.
• Network: The program offers a network of more than 190 partner universities for semester abroad opportunities.
• Learning Environment: Students study in small learning groups and learn from experienced professionals.