Программа обучения Management and Data Science

Программа обучения "Management and Data Science" в Technical University of Munich

Management and Data Science

Университет
Technical University of Munich
Степень
Бакалавриат
Специализация
Business Administration, Business Informatics, Data Science
Стоимость
0 € / Семестр

Data-driven technologies, such as AI and the Internet of Things, deeply transform virtually all areas of business and the society. The Bachelor in Management and Data Science provides a flexible toolkit to holistically incorporate and use data-driven innovations for managerial decision-making.

Общая Информация по Программе обучения "Management and Data Science"

Уровень: Бакалавриат
Диплом: Bachelor of Science (B.Sc.)
Язык обучения: Английский
Начало обучения: Зимний семестр
Срок обучения: 6 семестров
Форма обучения: Полная
Учебные кредиты: 180 ECTS
Стоимость: € 0 / Семестр
Семестровый взнос: € 85 / семестр
Правила приема: На основе конкурса
Минимальный уровень английского: B2

Описание программы обучения "Management and Data Science"

Data-driven technologies such as AI and the Internet of Things are changing the business models, processes, and structures of companies of all sizes and in all industries. Students of the English-taught Bachelor’s degree program in Management and Data Science (B.Sc.) learn to analyze and use data to develop and implement economic and social innovations.

The program is located at the interface of economics and computer science. Students receive a sound education in business management and acquire broad expertise in all business processes and fields of activity, from accounting to marketing and logistics. In doing so, all subjects are systematically examined with a view to aspects of data science. Thus, students develop the necessary skills to understand key technological developments such as artificial intelligence, big data, and machine learning holistically, to make them usable considering economic and social requirements, and to constantly reflect on the ethical dimensions of their application. The program places a particular focus on family-run and medium-sized companies.

Graduates of the program are able to shape and apply data-driven technological developments. As responsible business managers, they make technically and economically sound decisions, optimize processes, and implement business models that meet both economic and social requirements. They are thus excellently qualified to start a career in national and international companies in a wide range of sectors, as well as to continue their studies in a Master’s degree program.

Карьерные перспективы по завершению программы обучения "Management and Data Science"

#1 - Best business school in Germany (THE University Subject Ranking)
1% of the elite group worldwide holding the triple crown accreditation
#1 to educate global leaders (Digital Leader Ranking)

Учебный план программы обучения "Management and Data Science"

The program contains interactive small-class lectures, exercises, discussion based seminars, excursions, and research projects. All modules of the program seamlessly integrate managerial and technological aspects, stimulating a holistic perspective on data-driven business challenges. Thereby, students acquire competencies in all major fields of management and learn how data science can be efficiently used in a digitally transforming business environment. A strong normative fundament and quantitative competencies qualify students to conduct own research projects to create data-driven management solutions. Real-world projects with leading companies and multifaceted electives – with a particular focus on digital transformation and family enterprise – promote a customized study experience.

Учебный план / модули: https://www.tum.de/fileadmin/w00bfo/www/Satzungen/Fachpruefungs-_und_Studienordnungen/Management_and_Data_Science_BA_FPSO_Neufassung_11032024.PDF
https://cms.mgt.tum.de/fileadmin/mgt.tum.de/downloads/program_structures/20240226_Program_structure_Bachelor_in_Management_and_Data_Science.pdf?_gl=1*196p34k*_up*MQ..*_ga*MTExOTk3MTY5My4xNzE5MDk3MDYw*_ga_4BXKCN9JMN*MTcxOTA5NzA1Ni4xLjAuMTcxOTA5NzA1Ni4wLjAuMTQxNjkwODM5MQ..*_ga_0123456789*MTcxOTA5NzA1Ni4xLjAuMTcxOTA5NzA1Ni4wLjAuODI1NjY2MjQz*_ga_01234567*MTcxOTA5NzA1Ni4xLjAuMTcxOTA5NzA1Ni4wLjAuMTcxODMyOTM4Ng..

Факультет

TUM School of Management

Technical University of Munich

TUM School of Management at Technical University of Munich (TUM) carries out world-class research and teaching at the interface between management and technology. Established in 2002, we consistently top the rankings of business schools in Germany. TUM School of Management attracts students and researchers from all over the world. Our job is to channel their enthusiasm for innovation and technology into real products by providing them with the management skills they require. We believe that entrepreneurship and social responsibility go hand in hand. These are the values that we pass on to our students.

Методика оценки заявок

Selection takes place through an aptitude assessment procedure. The aptitude assessment is a two-part procedure evaluating your ability to successfully manage the particular qualitative requirements of the Bachelor’s program.

In the first stage, your overall secondary school grades, your grades in subject-specific courses, and any relevant practical experience or additional qualifications will be evaluated using a point system. Depending on the amount of points accumulated, applicants are either immediately admitted or invited to an admission interview.

We assess your application considering your final Abitur grade (or GPA) and your four individual half-year grades (Halbjahresnoten) in English, Mathematics and an Advanced Natural Science.
For applicants who do not provide the individual grades in the mentioned subjects, we will assess your application considering the final grade (GPA) of your university entrance qualification and your performance in the admission interview.

[email protected]

+49 1522 3657980

Munich, Germany

Программа обучения Management and Data Science