MSc in Supply Chain Digitalisation
Learn to optimize supply chains with artificial intelligence and machine learning
The Master's programme in Supply Chain Digitalisation is the first in Denmark to focus on cutting-edge technologies such as machine learning, artificial intelligence, simulation, and data science. The programme aims to drive the digitalisation of supply chains with a holistic approach, promoting economic efficiency, sustainability, and high security.
This master's programme provides you with a deep understanding of advanced methods and technologies essential for the digitalisation of supply chains, focusing on data-driven decision-making and quantitative approaches. As industries seek smarter, more efficient operations, you will learn to develop and implement innovative solutions that optimize performance and promote sustainability across supply chains.
Through a curriculum built on close collaboration with industry partners, you will engage with real-world, hands-on projects that reflect the current challenges in the digital transformation of global supply chains. It combines technical expertise with business insights, preparing you for a career in both established companies and entrepreneurial ventures driving digital supply chain transformation.
Project based and research based study environment
You will become part of an international, study-based, and collaborative learning environment where you work in project groups. Together with your fellow students, you will take responsibility for planning and completing the project on time. Project topics are usually provided by companies, and we emphasize solving real-world problems where challenges related to digitalisation play a critical role. In your final semester, you will work on your master’s thesis, often in collaboration with a high-tech company.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
- ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
- Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
TOEFL iBT or iBT Home Edition - minimalus balas 88. Testo rezultatas universitetą turi pasiekti tiesiogiai iš testo laikymo centro. Užsakant testo rezultato išsiuntimą iš centro naudoti University of Southern Denmark kodą 7969. Rinkitės "other - department not listed". Jeigujau esi laikęs testą, vis vien gali užsakyti rezultato siuntimą iš testo laikymo centro (tai padaryti būtina). Kai tai padarysi, apie tai reikia informuoti mus.
IELTS - minimalus balas 6.5
Testo sertifikatą BŪTINA pateikti iki stojimo pabaigos datos.
You can apply if you hold a relevant degree in Science or Engineering. To be considered, your degree must include a minimum of:
- 5 ECTS Supply Chain Management, Operations Management, Operations Research, Production Planning & Control, Smart Manufacturing, or similar
- 10 ECTS Statistics, Data Science, Data Analytics, or similar
- 5 ECTS Programming
As part of your application, you must fill in and upload a form in which you state which subjects from your education you consider relevant in relation to the requirements mentioned above. Download the form here (.pdf).
It may be possible to supplement your degree with a maximum of 30 ECTS in order to fulfill the academic admission requirements. A maximum of 15 ECTS can be supplemented as part of a conditional admission, with a maximum of 10 ECTS completed before study start as summer school, and a maximum of 5 ECTS completed alongside the first semester of the Master’s degree programme.
Here is a list of potential job titles you could pursue with this degree:
- Supply Chain Manager
- Operations Manager
- Logistics Manager
- Data Analyst
- Machine Learning Engineer
- AI Specialist -
- Production Planner
- Inventory Manager
- Sustainability Manager
- Digital Transformation Consultant
- Business Analyst
- Process Improvement Specialist
- Project Manager
- Quality Assurance Manager
- Procurement Manager
These roles will enable you to apply your expertise in machine learning, artificial intelligence, data science, sustainability, and security to drive value and innovation across various sectors.
