Master of Business Intelligence & Data Sciencedrafted
Dortmund , Germany
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 date | Application 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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