Course of Study: School of Industrial Engineering & Management
Studies in Shenkar’s School of Industrial Engineering & Management last four years, over the course of which students acquire basic scientific tools (mathematics, physics, computing and statistics) and knowledge from different fields of engineering and technology (machining, electronics, computers, chemistry and polymers) and social sciences and management (organization, economics, marketing and financing).
During their studies, students acquire knowledge of the core methods of industrial engineering, including operations, research of systems, simulation, operational planning and management, work standards and improving methods, quality, computing, information systems, and procurement and logistics.
In the third year of their studies, students are asked to choose between one of three specializations:
Specialization in Health and Medicine Digital Technologies
Head of the specialization: Dr. Meira Levy
The health care system is one of the largest civil systems in need of digital transformation. The health and medicine digital technologies specialization provides a broad and practical background, equipping students to identify challenges and develop innovative solutions at all levels within the Israeli health care system, including public and private entities and organizations. It is unique in its comprehensive, interdisciplinary approach, integrating engineering, management and innovation in health and medical sciences studies (with an emphasis on data and digital solutions).
Taking advantage of Shenkar’s strengths as an academic institution, the specialization will integrate design and engineering tools to understand and configure medical products. It will address the aspects and uses of digital transformation in the health care system, emphasizing innovation and applied tools for improving the efficiency of medical services and promoting health.
The specialization will include practical experience (a practicum) at one of Israel’s leading health care institutions to hone the skills required to implement advanced technology to shape future medicine, and it offers a wide range of potential future career paths. Graduates will gain experience that will prepare them for employment in academia, health maintenance organizations and hospitals, industry, research institutes at educational and medical institutions, as teachers and at regulatory agencies.
The specialization track was developed under the guidance of professor Siegal Sadetzki, Faculty of Medicine, School of Public Health, Tel Aviv University.
The specialization entails 20 credits of required courses and relevant elective courses.
* The specialization does not appear on the degree.
Required courses in the Health and Medicine Digital Technologies Specialization:
The Israeli Health Care System (2 credits)
Introduction to Medicine (3 credits)
Legislation, Regulation and Ethics in Medicine (2 credits)
Introduction to Epidemiology and Research Methods in Health Sciences (3 credits)
Entrepreneurship in Health Care (3 credits)
Medical Informatics (2 credits)
Medical Technologies (2 credits)
Artificial Intelligence in Health Care (3 credits)
Specialization in Data Science and Artificial Intelligence
Head of the specialization: Dr. Oded Koren
Artificial intelligence is at the forefront of research and industry development. There is demand for graduates with artificial intelligence and data science backgrounds who can integrate into field-specific roles related to research and informational analysis and who can offer recommendations for additional services, trend forecasting, support, and more.
The specialization allows for a broad foundation of knowledge, understanding, study and experimentation with the diverse capabilities enabled by artificial intelligence. Students will be able to draw on the skills learned and apply them within the final practical project (at an organization or in research) based on the outputs implemented during their studies.
The specialization entails 20 credits of required courses and relevant elective courses.
* The specialization does not appear on the degree.
Required courses in the Data Science and Artificial Intelligence Specialization:Data Engineering (2 credits)
Machine Learning (3 credits)
Deep Learning (3 credits)
Recommender Systems (3 credits)
Big Data (3 credits)
Smart Systems Integration (3 credits)
Communication Networks (3 credits)
Specialization in Product Management
Head of the specialization: Dr. Omer Kaspi
A product is an essential expression of an organization’s business strategy. For manufacturing companies, the product is often the primary revenue generator and hence plays a core role in the company’s purpose. This makes product management a core process in all organizations that offer products and solutions. An understanding of the process cultivates a holistic view of the product life cycle, providing knowledge and tools to support and manage the product at all stages: the initial idea management stage, accurately identifying a problem and potential users’ needs, testing functional, production and business feasibility, defining solutions and facilitating the development, marketing and product launch, including market exposure and sales support. At the end of the process, customer satisfaction feedback is collected to refine the product, improve its capabilities and achieve business goals.
There is growing demand for employees with interdisciplinary backgrounds and expertise who can leverage products for business success and solve complex user problems. Such skills are scarce among graduates of academic institutions. Product management studies combine analytical, creative and business leadership abilities. The specialization is designed to provide students with a detailed understanding of the product life cycle, from initial ideation through launch and growth. In the current market conditions, as technological complexity increases alongside consumer demands, there is a growing need for product managers with an in-depth understanding of systems design, markets, UX design, and business. This requires a training program that integrates many facets of product management. This program will help graduates successfully integrate into an increasingly dynamic job market.
This specialization combines academic knowledge with an advanced industry practicum, emphasizing product management informed by an understanding of the business context, data, innovative tools, integration between teams, and artificial intelligence as a critical tool. As part of the program, students will gain practical experience in preparing a product business plan. Their work will include problem and solution characterization, market analysis, marketing and launch strategies, and beginning-to-end financial analysis. We believe the program will equip students with the tools to gain employment and succeed in product management positions.
The specialization entails 20 credits of required courses and relevant elective courses.
* The specialization does not appear on the degree.
Professional consulting and development of the specialization track: Ran Erez — Product Lead at Monday.com, Amir Green — VP Product Management at SimilarWeb, Tomer Fishler — Head of Marketing and Business Development at Flying Cargo
Required courses in the Product Management Specialization:
Introduction to Product Management (3 credits)
UX and Product Specification (2 credits)
Data-driven Product Management (3 credits)
From Concept to Product (3 credits)
Product Strategy and Market Forces (2 credits)
Marketing Strategies in Product Management (2 credits)
Artificial Intelligence for Product Managers (3 credits)
Advanced Product Discovery (2 credits)
