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Data Science and AI (DSAI)

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 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 universities with the mission of bringing European-standard advanced education to Asia.

Program Brochure
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Research Focus Area

  • Data modeling and management
  • Machine learning
  • Data mining
  • Data science
  • Sensors
  • Robotics
  • Software development
  • Artificial intelligence
  • Big Data and Deep Learning

Preferred background

To study in the DS&AI field, the students should fulfill 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.

Course Structure

Major in DS&AI

Master of Science/Master of Engineering in Data Science and Artificial Intelligence.
Thesis OptionResearch Study Option
Required Courses14 credits (5 courses)14 credits (5 courses)
Elective Courses6 credits (2 courses)18 credits (6 courses)
Institute Wide Courses3 credits (1 course)3 credits (1 course)
Seminar: Required Pass/Fail1 credit1 credit
Required Internship0 credit0 credit
Total Credits Coursework24 credit36 credit
Thesis/Research Study Credits24 credit12 credit
##TOTAL CREDIT REQUIREMENT####48 credit####48 credit##

Required courses

  • Data Modeling and Management
  • Machine Learning
  • Business Intelligence and Analytics
  • Computer Programming for Data Science and Artificial Intelligence
  • Artificial Intelligence: Natural Language Understanding

Elective courses

  • Artificial Intelligence: Knowledge Representation and Reasoning
  • Computer Vision
  • Artificial Intelligence: Problem Solving and Planning
  • HCI and Information Visualization
  • Recent Trends in Machine Learning
  • Multicriteria Optimization and Decision Analysis
  • Software Development and Project Management
Minor in DS&AI
Master of Science/Master of Engineering, Minor in Data Science and Artificial Intelligence.
Research Study Option
Major Required/Elective Courses24 credits
Required Courses in DS&AI6 credits (2 courses)· Data Modeling and Management · Machine Learning
Elective Courses in DS&AI6 credits (2 courses)Choose 2 courses from 8 options listed: · Business Intelligence and Analytics · Computer Programming for Data Science and Artificial Intelligence · Artificial Intelligence: Problem Solving and Planning · Artificial Intelligence: Knowledge Representation and Reasoning · Computer Vision · Artificial Intelligence: Natural Language Understanding · Recent Trend in Machine Learning · Multicriteria Optimization and Decision Analysis
##Total Credits Coursework####36 credits##
##Research Study Credits####12 credits##
##TOTAL CREDIT REQUIREMENT####48 credits##

Concerned Faculty

Staff

Contact Us

Computer Science & Information Management (CSIM)

Department of ICT 

School of Engineering and Technology (SET) 

Asian Institute of Technology (AIT) 

Phone:+66(0)25245700; +66(0)25245717 

Email:[email protected]