Master of Business Intelligence & Data Science

Program Overview

The M.Sc. Business Intelligence & Data Science program at ISM provides students with comprehensive training in data retrieval, analysis, and mining. Blending foundational computer science concepts with business analytics and consulting projects, this program prepares graduates for in-demand careers as data scientists, business analysts, and more. Through an international semester, internships, and partnerships with industry leaders, students gain practical experience and are well-equipped to contribute to data-driven decision-making in various industries.

Program Outline

Business Intelligence & Data Science Program Details:

Key Facts about this Program:

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• Program Name: Master of Science (M.Sc.) Business Intelligence & Data Science It prepares graduates to become data scientists, business analysts, system architects, or data consultants.
• Description: The program provides a strong foundation in classical computer science topics like data management, quantitative methods, and linear algebra.
• It also covers business analysis, big data, and data mining, incorporating practical business analytics and consulting projects. The program emphasizes the importance of data-driven decision making and its role in achieving corporate goals.
• Duration: 3 semesters plus 1 semester for the master thesis (4 semesters total)
• Fast Track Option: 3 semesters (semester abroad omitted, internship period shortened)
• Campus Locations: Dortmund, Munich, Hamburg, Stuttgart
• Study Types: Full-time Degree on campus
• Accreditations: AACSB, FIBAA, German Accreditation Council

Program Content

1st Semester

Data Management

• Introduction to Data Science & Business Intelligence (2 ECTS)
• Database Systems & Information Integration (2 ECTS)
• ERP Systems (2 ECTS)

Computational Engineering

• IT-Management (2 ECTS)
• Software Engineering (2 ECTS)
• Programming (2 ECTS)

Quantitative Methods

• Linear Algebra & Numerical Mathematics (2 ECTS)
• Structure-detecting Methods (2 ECTS)
• Structure-validating Procedures (2 ECTS)

Leadership Skills

• Corporate Governance & Business Ethics (2 ECTS)
• Cross Cultural Leadership (2 ECTS)
• Negotiation, Communication & Executive Presentations (2 ECTS)

Digital Business Structures & Processes

• Theory of the Firm (2 ECTS)
• Digital Process Management (2 ECTS)
• Digital Value Networks & Business Models (2 ECTS)

Work placement (12 ECTS)

2nd Semester

Business Analytics

• Optimization Techniques (2 ECTS)
• Simulation & Forecasting Techniques (2 ECTS)
• Machine Learning & Artificial Intelligence Techniques (2 ECTS)

Business Control

• IT-enabled Information Systems (2 ECTS)
• Decision Support Systems (2 ECTS)
• Management Information Systems (2 ECTS)

Consulting

• Strategy & Market (2 ECTS)
• Innovation & Design Thinking (2 ECTS)
• Consulting Instruments (2 ECTS)

Big Data Project

• Agile Project Management (2 ECTS)
• Scientific Methods (2 ECTS)
• Field Project (2 ECTS)

3rd Semester abroad (24 ECTS)

• Semester abroad.

MASTER'S THESIS (30 ECTS)

Teaching:

• Faculty: The program boasts 56 international and guest lecturers from the business world.
• Teaching Approach: The program emphasizes practical application through business case studies, workshops, and internships.
• Industry Demand: The program highlights the high demand for data science and business analytics professionals, with over 2.7 million new jobs expected in 2023 alone.
• This allows students to deepen their knowledge in an international context, improve language skills, experience foreign cultures, and potentially obtain a second international degree (Double Degree).
• Language: The program is taught entirely in English, preparing graduates for international careers.
• Practical Experience: The program includes a 12-week compulsory internship, workshops, and excursions.
• ISM Accreditation: ISM is AACSB accredited, a prestigious recognition for excellence in research and teaching.
• Industry Partnerships: The program highlights partnerships with companies like Acxiom, a leading global data service provider, offering students insights into the professional field of data science.

• The admission process consists of uploading certain documents, an interview with program director and presenting a short case study powerpoint.