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BACKGROUND At AIT,we see data science and artificial intelligence ascross-cutting technologies.  Besides expertise in statistics,computation, reasoning, and data manipulation, youneed expertise in one or more specific domains.

That is why STEP 1 is to select your Master degreeprogram.  We currently offer DS&AI specializations for thefollowing degree programs:

Data science is concerned with the extraction of usefulknowledge from data sets.  It is closely related to thefields of computer science, mathematics, and statistics. Itis a relatively new term for a broad set of skills spanningthe more established fields of machine learning, datamining, databases, and visualization, along with theirapplications in various fields.  In 2012, Harvard BusinessReview called data science "The Sexiest Job of the 21stCentury".

Artificial intelligence (AI) is the broad field conceived in1956 as the automation or simulation of humanintelligence.  AI has two primary "levels".  The first level,"narrow AI", concerns perception, statistical inference,and actuation, drawing on data science, sensors, androbotics.  The second level, sometimes called "artificialgeneral intelligence" (AGI), is concerned with morecomplex or flexible reasoning and decision making in lessconstrained domains.

It has already begun.  In the next 10 years, data scienceand AI will touch nearly every aspect of human endeavor,transforming the way we live and work.  In the longerterm, AGI will likely emerge as one of the most disruptiveand productive technologies humankind has ever seen.

Are you ready for the age of data science and AI?  AIT isready to help you get abreast of current technology andprepare for the big changes that are coming.

Apply to join AIT's international Master degreespecialization in data science and AI todayat https://www.ait.ac.th/admissions/application-form/

DS&AI@AIT: THREE STEPS

MS/MEng in Computer ScienceMS/MEng in Information ManagementMS/MEng in Industrial and Manufacturing EngineeringMS/MEng in Information and CommunicationTechnologiesMS/MEng in Mechatronics EngineeringMS/MEng in Microlectronics and Embedded Systems

Area of Specialization in Data Science and AI

Once you've selected your degree program, STEP 2 is toplan a year of coursework covering the fundamentals ofyour field, the fundamentals of data science and AI, and atailored palette of elective courses.  Your AIT academicadvisor will be ready to help with this process.

After you've built up skills in the coursework, STEP 3 willbe to execute a one-year Master's thesis research projectin which you combine your knowledge of your field withyour knowledge of data science and AI to solve a newproblem.  Thesis research is flexible; you may workindividually with the guidance of your advisor, in a team,or in cooperation with one of our industrial partners.

That's it!  On graduation, your AIT transcript will makespecial note of your specialization in data science and AI,and your new technical and research skills will leave youconfident and ready for the technological disruptions ofour data-driven world.

ISE Department

COURSESAI and Neuro-Fuzzy Theory: Students develop skills necessary to apply data-driven AI technologies to engineering problems in robotics and control.  Students apply models based on neural networks, fuzzy logic, geneticalgorithms, simulated annealing, and particle swarmoptimization to real-world problems.  Required forIME+DS&AI, MES+DS &AI, and MT+DS&AI.

Data -Driven Operations Research: Students developskills necessary to utilize data in the process offormulating, solving, and interpreting models fordecision making in industrial settings.  Students applymetaheuristic algorithms to help solve large-scaleoptimization problems incorporating large amounts ofdata.  Required for IME+DS&AI.

Pattern Recognition and Image Processing: Studentsdevelop skills necessary to develop applications thatextract and interpret patterns in image data.  Studentslearn to select appropriate image processing andpattern recognition algorithms for a particular problemand incorporate algorithms in to practical applications. Required for MES+DS&AI and MT+DS&AI.

Applied Machine Vision: Students build skills in theimage processing, geometry, statistical inference, anddeep learning tools necessary to extract usefulinformation about the world from sequences of two-dimensional images, with applications in robot vision,intelligent monitoring, and human-computer interfaces. Elective.

Besides the required DS&AI courses, students must takethe required courses for their degree program. Students' options for electives include all of the DS&AIcourses plus a wide variety of electives across the Schoolof Engineering and Technology.

Machine Learning: Students learn the data analysis andmodeling skills necessary for the engineering ofintelligent systems that incorporate models learned fromdata.  Design, training, and testing of supervised,unsupervised, and reinforcement learning models. Required for all DS&AI students.

Data Modeling and Management: Students developskills for analyzing, evaluating, modeling, and developingdata-intensive applications incorporating structured,semi-structured, and unstructured data with concern fortechnical and business requirements such as flexibility,scalability and availability.  Required for all DS&AIstudents.

Big Data Analytics: Students build skills necessary tocreate state-of-the-art solutions for real-world large-scaledata storage and analysis challenges.  The courseintroduces state of the art frameworks such as Hadoop,Spark, and other tools in the Hadoop ecosystem. Elective.

Business Intelligence: Students learn to applytechnology-driven processes for analyzing data,presenting actionable information to users discoveringbusiness insights, and improving businesscompetitiveness.  The course introduces BI and dataanalytics tools and technologies needed to develop BIapplications that support major business decisions. Required for IM+DS&AI students.

Natural Language Understanding and Translation:Students combine linguistic knowledge of naturallanguages (words, morphology, parts of speech, syntax,and semantics) with algorithms and technologies forprocessing speech and natural language text.  Studentslearn to apply regular expressions, finite automata,context-free grammars, unification, first-order logic,lambda-notation, hidden Markov models, and rule-basedor statistical algorithms to problems of natural languageunderstanding.  Required for CS+DS&AI students.

Knowledge Representation and Practical Reasoning:Students develop skills necessary to apply theories andmethodologies for knowledge representation andinference to practical reasoning problems.  Modelsemantics and proof procedures for first-order logic, logicprogramming, theories of argumentation and Bayesianreasoning, with applications in multiple domains.Elective.

WHY AIT?AIT's internationally-savvy engineering, technology andmanagement graduates are highly sought after byemployers, and command impressive earning potentialthroughout their careers.

P.O.Box 4, 58 M.9, Km.42, Paholyothin Highway, Klong Luang, Pathumthani 12120, Thailand Please call: +662-5245700, 5245717, 5246601, 5246606 Email: siripornn@ait.ac.th, sireekant@ait.ac.th

ICT Department (CS, IM, and ICT programs) ISE Department (IME, MT and MES Programs)

HOW TO APPLYCheck the eligibility requirements https://www.ait.ac.th/admissions/eligibility/

Explore scholarships https://www.ait.ac.th/admissions/scholarships/

Apply online https://www.ait.ac.th/admissions/application-form/

Study Cost

APPLICATION DEADLINEThe AIT academic year consists of two semesters:January and August. Most students are admitted inAugust.  Scholarships and RTG fellowships are normallyonly available for the August intake. 

Applicants who wish to apply for His Majesty the King'sscholarships (very competitive; full tuition support plusstipend) must submit by March 31. Otherwise,applications are accepted on an ongoing basis, butapplicants should submit early to be considered foravailable fellowships.  Final deadline for Augustadmission is 30 June, and final deadline for Januaryadmission is 15 November.

STEP 1

STEP 2

STEP 3

FACULTY EXPERTSCoursework and thesis research is entirelyin English and led by the world-classfaculty members in the information andCommunication Technologies andIndustrial Systems Engineeringdepartments at AIT.

Apichon Witayangkurn (Thailand) DEng, University of Tokyo DS&AI Course: Big Data Analytics Expertise: Big Data, Software Engineering,Remote Sensing

Chutiporn Anutariya (Thailand) PhD, Asian Institute of Technology DS&AI Courses: Data Modeling andManagement  Expertise: Databases, Ontologies, SemanticWeb

Huynh Trung Luong (Vietnam) DEng, Asian Institute of Technology DS&AI Courses: Data-Driven OperationsResearch Expertise: Statistical Modeling, SupplyChain Optimization

Manukid Parnichkun (Thailand) PhD, University of Tokyo DS&AI Courses: AI & Neuro-Fuzzy Theory Expertise: Robotics, Control

Matthew Dailey (USA) PhD, University of California, San Diego DS&AI Courses: Machine Learning, AppliedMachine Vision Expertise: Machine Learning, MachineVision, Robotics, Software Engineering

Mongkol Ekpanyapong (Thailand) PhD, Georgia Tech DS&AI Courses: Pattern Recognition andImage Processing Expertise: Embedded Systems, MachineLearning, Machine Vision

Phan Minh Dung (Vietnam) PhD, Dresden University of Technology DS&AI Courses: Natural LanguageTranslation and Understanding, KnowledgeRepresentation and Reasoning Expertise: AI, Argumentation, KnowledgeRepresentation

Vatcharaporn Esichaikul (Thailand) PhD, Kent State University DS&AI Courses: Business Intelligence  Expertise: Business Intelligence, E-commerce, Information Systems

SCHOLARSHIPS AND FELLOWSHIPS SUPPORTMost students at AIT receive partial or full scholarshipsfor study.  Partial and full fellowships to defray tuitionand fees are awarded competitively to applicants fromall countries.

Thai nationals applying for August admission maybe eligible for a 100% scholarships from the Royal ThaiGovernment, depending on undergraduateperformance.