Dual Student (f/m/d) Industrial Engineer

Job description

Dual Student (f/m/d) Industrial Engineering Are you the next organizational whiz? In the bachelor’s program “Industrial Engineering in a Practical Partnership,” you’ll lay the foundation for your career as an engineer. This dual degree program is combined with the vocational training program “Industrial Business Clerk (m/f/d).” These skills will enable you to tackle demanding business challenges. The program provides you with scientifically grounded approaches to solving technical problems and allows you to apply your knowledge directly in a real-world business setting. What do we need from you? Please note that we can only consider complete applications. You should include the following documents with your application: A cover letter specifying your dream job, the highest level of education you have completed or are aiming for, and your expected graduation year Resume Your last two report cards from general education schools; if applicable, also report cards from secondary schools or employment references Possible Tasks within this Role During the two-year foundational phase, you will learn all relevant aspects of engineering and business administration. In the later semesters, you will specialize by choosing one of the following five areas of concentration: Production Management Product Management Project Management Technical Controlling Sales Management Qualification requirements General university entrance qualification (under certain conditions, students may also begin their studies with a subject-specific university entrance qualification, a vocational high school diploma, or a vocational qualification) Enthusiasm for business and technology Interest in cars and Volkswagen Osnabrück Ability to work in a team, work independently, and demonstrate a high level of commitment Good high school GPA Skills Problem Solving Digital Collaboration Tools Communication Skills Conflict Management Decision-making Skills Creativity Critical Thinking Strategic Planning Adaptability Data Analysis Data Visualization Data Management