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Global MBA | AI & Big Data Track
Global MBA | AI & Big Data Track
Program Highlights
- The program is designed for individuals with managerial potential and at least three years of experience. No technological or mathematical background is required, although supplementary courses may be necessary for those from non-quantitative backgrounds. We seek individuals with managerial potential or current managers and those who lead transformations within organizations, curious individuals who are not afraid to learn quickly, and those with leadership potential. The student body is diverse, comprising individuals from various disciplines such as technology, retail, energy, the public and military sectors, life sciences, and more.
- During the first year, students take core courses in business administration (investments, strategy, marketing, finance, accounting, etc.) and introductory technological courses. Subsequently, students will study a variety of courses related to their specialization: artificial intelligence, AI-based product applications in industry, AI for managerial decision-making processes and daily management, machine learning, data technology applications, and more.
- The program is offered in a part-time format, suitable for career professionals. Class days are Sunday from 16:00 to 22:00 and Friday from 08:00 to 14:00.
What Makes the Program Unique?
- Connection to the Business Sector: Includes tours, guest lectures, senior mentors, and real-world case studies.
- Practical Projects: Hands-on projects with industry companies. Students work in teams on real-world projects in collaboration with industry partners, solving actual problems faced by companies or organizations.
- Leadership Seminar: Leadership in the Age of Artificial Intelligence - Developing soft skills for leading organizational changes in AI fields.
- Collaboration with Leading Companies and Organizations: Both in promoting innovation within organizations and utilizing the most advanced tools provided by these companies.
- Study Trip to New York, USA: Includes visits to companies and innovation centers, and meetings with executives and entrepreneurs.
- Set of Managerial Tools for making decisions based on computational models.
What Will You Study?
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This course provides students with both theoretical foundations and practical skills in database systems, focusing on the design, construction, and utilization of computerized databases. Students gain hands-on proficiency in SQL, the most widely used language for managing and communicating with databases. The course emphasizes the integration of conceptual understanding with practical application, equipping students with essential tools for professional work in data-driven environments.
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This course equips students with practical tools to understand how artificial intelligence models operate “behind the scenes,” at a level that enables informed managerial decision-making. Key topics include AI-driven product management, real-world challenges in implementing AI solutions, and strategies for leveraging AI to streamline everyday business processes. The course emphasizes how to transform AI into a true competitive advantage within organizational and market contexts.
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In this course, students design and implement a creative AI project, developing machine learning code that brings their ideas to life. The course introduces advanced topics in unsupervised machine learning, including natural language processing, data clustering, and recommender systems. Theory is combined with hands-on, industry-based examples, providing students with practical skills and applied knowledge for developing AI-driven solutions in dynamic business environments.
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which explains to the students how companies are moving to Cloud-based solutions for their data infrastructures and how to apply the latest best practices in the industry using state of the art cloud products. We've built a good mix of theoretical concepts and hands-on experience, to make sure the students can later apply these learnings in their own companies in their day to day work. The objective is also to help the students talk the same language as Software Engineers or Product Managers, and ease the technical communication around cloud products.
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The workshop focuses on advanced applications of AI and Big Data across various industries, combining theory, practical training, and ethical considerations.
Throughout the program, students are exposed to diverse topics such as retail and customer experience, finance and algorithmic trading, healthcare and precision medicine, and more.
In each domain, students study advanced models, examine technological and ethical challenges, and explore innovative real-world applications
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- For the entire list of courses please refer to the Student Handbook
- The academic administration of Reichman University reserves the right to make changes to the curriculum.
- In addition to core MBA courses, program participants study current approaches to innovation and entrepreneurship, including miLAB’s human centered design process, and the Customer Development and Lean Startup methodologies.
- The specialization is not indicated on the Diploma, but in an accompanying appendix.
Proud Of Our Alumni
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Eilon Bar
GenAI/ML Specialist
Reichman University’s MBA in AI & Big Data gave me the tools to lead innovation—first at my previous company and now at Google Cloud. The mix of business and AI, plus experiences like the New York tech trip, shaped my path.
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Omri Shtayer
VP Data, DaaS & Cross
The MBA in AI & Big Data was the ideal bridge from the Air Force to tech. Its blend of business strategy, leadership, and practical AI experience gave me the tools to succeed.
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