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Students
Tuition Fee
EUR 5,700
Per semester
Start Date
2024-09-01
Medium of studying
On campus
Duration
18 months
Program Facts
Program Details
Degree
Masters
Major
Analytics | Management Information Systems | Project Management | Artificial Intelligence | Computer Science | Cybersecurity | Data Analysis | Information Systems | General Engineering & Technology | Mathematics | Statistics
Discipline
Business & Management | Computer Science & IT | Engineering | Science
Minor
Business Intelligence and Analytics | Data Science | Information Systems Security | Machine Learning | Data Modeling/Warehousing and Database Administration | Operations Research | Database Management and Design | Management Information Systems and Services
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 5,700
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


The Master of Science in Business Intelligence & Data Science at ISM equips students with comprehensive knowledge and skills in data analysis, interpretation, and decision-making. The program combines theoretical foundations with practical experience through workshops, excursions, and a 12-week internship. Graduates are highly sought after in data-driven fields, including data analysis, business intelligence, and data science. The program is taught entirely in English and offers a double degree option, a fast-track option, and a compulsory semester abroad.

Program Outline

Extracted Information from Master of Science in Business Intelligence & Data Science program at ISM:


Degree Overview:

  • Overview: The Master of Science (M.Sc.)
  • in Business Intelligence & Data Science equips students with comprehensive knowledge and skills to analyze and interpret data, enabling them to make informed business decisions.
  • Objectives: The program aims to:
  • Provide expertise in data retrieval, evaluation, and analysis.
  • Develop skills in data mining, business intelligence, and big data analysis.
  • Integrate business analysis, quantitative methods, and programming skills.
  • Enable students to make data-driven insights and recommendations for businesses.
  • Description: The program combines theoretical knowledge with practical experience through workshops, excursions, and a 12-week internship.
  • It is taught entirely in English and covers topics such as data management, quantitative methods, linear algebra, business analysis, big data, and data mining.

Outline:

  • Program Content: The program includes modules covering:
  • Data Management and Data Warehousing
  • Quantitative Methods and Statistics
  • Linear Algebra and Optimization
  • Business Analysis and Requirements Engineering
  • Big Data and Data Mining
  • Data Visualization and Business Intelligence
  • Advanced Topics in Data Science (e.g., Machine Learning, Artificial Intelligence)
  • Structure: The program consists of 3 semesters (4 semesters with the Fast-Track option) and a Master's thesis.
  • Course Schedule: The program follows a semester schedule with lectures, tutorials, and practical sessions.
  • Individual Modules: Each module has a specific focus and learning objectives.
  • Detailed information about each module is not provided in the context.

Assessment:

  • Assessment Methods: The program uses a variety of assessment methods, including:
  • Examinations
  • Assignments
  • Presentations
  • Group projects
  • Internship report
  • Master's thesis
  • Assessment Criteria: The program assesses students based on their:
  • Knowledge and understanding of the subject matter
  • Ability to apply theoretical concepts to practical problems
  • Analytical and problem-solving skills
  • Communication and presentation skills
  • Teamwork and collaboration skills

Teaching:

  • Teaching Methods: The program employs diverse teaching methods, including:
  • Interactive lectures
  • Case studies
  • Group discussions
  • Simulations
  • Guest lectures from industry experts
  • Faculty: The program boasts faculty with extensive experience in data science, business intelligence, and related fields.
  • Unique Approaches: The program emphasizes a hands-on approach with practical projects, case studies, and an internship.

Careers:

  • Career Paths: Graduates can pursue careers in various data-driven fields, including:
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Business Intelligence Specialist
  • Data Consultant
  • Quantitative Analyst
  • Market Research Analyst
  • Opportunities: The program prepares graduates for positions in various industries, including:
  • Consulting
  • Finance
  • Marketing
  • Technology
  • Retail
  • Healthcare
  • Outcomes: Graduates are highly sought after in the job market due to their skills in data analysis, interpretation, and decision-making.

Other:

  • Double Degree: Students can pursue a double degree with a partner university.
  • Fast Track: Students can complete the program in 3 semesters with the Fast Track option.
  • Study Abroad: The program includes a compulsory semester abroad at one of ISM's partner universities.
  • Accreditation: The program is accredited by FIBAA (Foundation for International Business Administration Accreditation).
  • Location: The program is offered at four campuses in Germany: Dortmund, Munich, Hamburg, and Stuttgart.
  • Language: The program is taught entirely in English.

Please note:

The information provided is based on the given context. Some details may be missing or incomplete.

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