Master in Business Administration: Data Analytics & Artificial Intelligence
Program Overview
The MBA in Data Analytics & Artificial Intelligence from Steinbeis University equips students with the skills and knowledge to harness data for actionable business insights. It offers a comprehensive understanding of corporate functions and tools to address complex management challenges, enhancing decision-making skills. Graduates are well-positioned for careers in data analytics, artificial intelligence, and business intelligence, with high employment rates and opportunities in various industries.
Program Outline
Degree Overview:
Program Overview:
This MBA program in Data Analytics & Artificial Intelligence equips students with the skills and knowledge necessary to harness data for actionable business insights. It offers comprehensive understanding of corporate functions and tools to address complex management challenges, enhancing decision-making skills.
Objectives:
- Understanding data technology, applications, and strategies, with a focus on operational and strategic decision-making in business.
- Gaining a thorough understanding of corporate functions.
- Equipping students with a range of tools to address complex management challenges.
Program Description:
The MBA in Data Analytics & Artificial Intelligence from Steinbeis University - Schools of Next Practices prepares graduates for careers in business intelligence, data analytics, business transformation, consulting, operations, and marketing intelligence. It provides a deep understanding of data technology, applications, and strategies, with a focus on operational and strategic decision-making in business contexts. The program also covers corporate functions and provides a range of tools to address complex management challenges.
Outline:
Program Content and Structure:
The program consists of core modules in business management and specialized modules in data analytics and artificial intelligence. Core modules include strategy, markets and marketing, innovation and entrepreneurship, organizational design and IT systems, financial management, operations management, HR management, and sustainable leadership and management. Specialization modules include digital infrastructure and software development, data management, big data, and high-performance computing, data-driven business, data strategy and governance, data exploration and analytics, and artificial intelligence.
Course Schedule:
The program is delivered full-time on campus over 18 months. It typically includes lectures, tutorials, group projects, and case studies.
Individual Modules:
- Digital Infrastructure & Software Development: Explores the technical foundations of data analytics and artificial intelligence, including data storage, data processing, and software development.
- Data Management, Big Data, & High-Performance Computing: Covers data management techniques, big data technologies, and high-performance computing for handling large and complex datasets.
- Data Driven Business: Examines the use of data and analytics to drive business decision-making and innovation.
- Data Strategy & Governance: Focuses on developing and implementing data strategies and governance frameworks to ensure ethical and responsible use of data.
- Data Exploration & Analytics: Provides hands-on experience with data exploration, data visualization, and statistical analysis techniques.
- Artificial Intelligence: Introduces the principles and applications of artificial intelligence in business contexts, including machine learning, deep learning, and natural language processing.
Assessment:
The program utilizes a variety of assessment methods to evaluate student learning. These include:
- Exams: Written exams assess students' understanding of core concepts and theories.
- Projects: Group and individual projects allow students to apply their knowledge and skills to real-world business problems.
- Presentations: Students present their research and analysis findings to demonstrate their communication and presentation skills.
Teaching:
Teaching Methods:
The program employs a combination of teaching methods, including lectures, interactive discussions, case studies, and group work.
Faculty:
The program is taught by a team of experienced faculty members with expertise in data analytics, artificial intelligence, and business management.
Unique Approaches:
The program incorporates experiential learning opportunities, such as industry visits, guest lectures, and hands-on projects, to provide students with a practical understanding of the field.
Careers:
Potential Career Paths:
Graduates of the MBA in Data Analytics & Artificial Intelligence are well-positioned for careers in various industries, including:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- AI Engineer
- Data Architect
- Data Manager
Career Opportunities:
The program provides opportunities for students to network with industry professionals and explore career opportunities through guest lectures, company visits, and career fairs.
Career Outcomes:
Graduates of the MBA in Data Analytics & Artificial Intelligence have a high employment rate and are in demand in the job market. They can pursue careers in a wide range of fields, including consulting, finance, healthcare, manufacturing, and technology.
€7,266 per Semester, Total €21,800 excl. one-time €250 Admission Fee + €250 Examination Fee
