Master's curriculum in Data Science and AI (DS&AI)

DS&AI partners from Asia, by working with the European partners, will develop a Master’s program in DS&AI that is truly national in scope. The MS in Data Science and AI (DS&AI) is an intensive full-time Master degree program aiming to give students a strong base in the computational and mathematical foundations of data science and artificial intelligence as well as to give ample opportunities to explore and specialize in various application areas. Master's curriculum in DS&AI will be launched between August 2020 and January 2021 and it is is supported by Erasmus+.

Study visits to Europe

3 academic professionals from each Asian HEI will travel to Europe to witness first-hand the teaching process, course and lab setup and other operational issues of the relevant MSc degrees offered in LEU and AUEB.

Study visits to Asia

3 study visits will be organized in each of the Asian partner countries with the purpose of training the academic personnel for one week and prepare them for the delivery of the programme. The 3 study visits will also be addressed to administrative staff.

Virtual Learning Environment

The scope of the DS&AI Virtual learning Environment (VLE) is to create an e-learning platform which will allow the collaborative interaction between the academic staff from all partners through learning and assessment activities.

Data Science Laboratories

"Data Science Laboratories" will be established in the participating Asian universities to be used for the delivery of the DS&AI MSc programme and for research and networking purposes during and after the project.

Data Science Laboratories

AIT offers the Course: Data Management and Modelling (Round 1 took place on: 1 – 3 Apr 2021. The 2nd Round is expected to be held by the end of 2021)

KKU offers the Course: Data Management and Modelling (Round 1 took place on :28-30 May 2021. The 2nd Round is expected to be held by the end of 2021)

WU offers the Course: Data Management and Modelling (Round 1 took place on :31 Mar - 2 Apr 2021. The 2nd Round is expected to be held by the end of 2021)

ITB offers the Course: Machine Learning. (Round 1 began in May 2021. The 2nd Round is expected to be held by the end of 2021)

USU offers the Course: Machine Learning (Round 1 begins in June 2021. The 2nd Round is expected to be held by the end of 2021)

UNSYIAH offers the Course: Machine Learning (Round 1 will begin in 26-28 August 2021. The 2nd Round is expected to be held by the end of 2021)

UOP offers the Course: Data Engineering (Round 1 will begin mid-July 2021. The 2nd Round is expected to be held by the end of 2021)

USJP offers the Course: Data Engineering (Round 1 will begin mid-August 2021. The 2nd Round is expected to be held by the end of 2021)

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