INTRODUCTION

The AIT Master’s in DS&AI was designed in partnership with the ERASMUS+DS&AI consortium, a group of 15 European and Asian universities and companies with the mission of bringing European-standard advanced education to Asia.

Data science (DS) is concerned with the extraction of useful knowledge from data sets. It is closely related to the fields of computer science, mathematics, and statistics. It is a relatively new term for a broad set of skills spanning the more established fields of machine learning, data mining, databases, and visualization, along with their applications in various fields. In 2012, Harvard Business Review called the data science “The Sexiest Job of the 21st Century.”

Artificial Intelligence (AI) is the broad field conceived in 1956 as the automation or simulation of human intelligence. AI has two primary “levels”. The first level, “narrow AI”, concerns perception, statistical inference, and actuation, drawing on data science, sensors, and robotics. The second level, sometimes called “artificial general intelligence (AGI), is concerned with more complex or flexible reasoning and decision making in less constrained domains.

The AIT Masters in DS & AI was designed in partnership with the Erasmus+ DS&AI consortium, a group of 15 European and Asian organizations with the mission of bringing European-standard advanced education to Asia. At AIT, we will prepare you to understand and execute projects using state of the art technology at both levels.

MAIN FEATURES OF THE PROGRAM

• One year professional AIT Master’s degree.
• Credits can be accumulated during four years
• Certificate course works.
• International field trip to the large construction sites in the region
• Study language: English.

TARGET STUDENTS

The program is designed for working professionals with a background in ICT who would like to extend their skillset to encompass data science. The program is initially designed for the Vietnamese professional market, but we will explore opportunities in countries such as Nepal, Myanmar, Thailand, Sri Lanka, India, Pakistan, China, Indonesia, and Malaysia.

PREFERRED BACKGROUND

• To study DS&AI, students should come from one of the following backgrounds. Computer Science/Computer Engineering/ICT.
• Engineering background with work experience, mathematical skills, and programming skills.
• Diverse backgrounds such as business, finance, or other non-engineering fields. Candidates must take a foundation course in calculus, discrete mathematics, linear algebra, and basic computer programming.