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The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. problems with limited training data and big data problems. Equipped with both theoretical and activity-based learning, this will allow graduates to upgrade their competencies and skills. The core courses focus on the foundations of AI knowledge, such as machine learning and deep learning, while a wide range of elective courses in different domains, such as image, video, text and IoT data are available to deepen understanding and knowledge in this specialisation.

Programme Structure

MSAI programme is an intensive one-year full-time (or 2-year part-time) programme by coursework. Students will be awarded the Master of Science in Artificial Intelligence after completion of study. The minimum and maximum periods of candidature for full-time candidates are 12 and 30 months respectively. For part-time candidates, they are 24 and 48 months respectively. The programme consists of a total of 30 Academic Units (AUs), with 12 AUs stemming from core courses and 18 AUs from master project and elective courses, covering general AI techniques and techniques especially for image, video, IOT and time series data. Each course is 3 AUs and has 39 contact hours consisting of lectures, tutorials, example classes and labs over 13 weeks. The master project of AI is a one year project with 6 AUs. The master project is not a compulsory component. The bridging course, Python Programming, with zero AU is for students who have graduated from bachelor programmes with limited programming training and working adults who do not usually write codes. All students can take the bridging course in their first semester. It is not a compulsory course.

  • Core Courses - 12 AUs
  • Elective courses/ Master Project of AI - 18 AUs
  • Total Graduation Requirement - 30 AUs

في أي قسم أنا؟

College of Engineering

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
SG$58,000.00 (US$ 40,675) سنوياً
تاريخ البدء

10 أغسطس 2020

مكان عقــد الدورة

College of Engineering

70 Nanyang Drive,

Block N1.3 Level B1,

637457, Singapore

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للطلاب من الولايات المتحدة

An applicant must have completed at least a Bachelor Degree (Honors) or European/German FH Diploma or its equivalent in areas of Science/Electrical/Electronics Engineering from a university with recognized standing with at least a 2nd Class Honors or equivalent. As the Programme instruction medium is English, applicant must be able to demonstrate a satisfactory level of the language. Applicant whose native tongue or medium of instruction from previous studies (Bachelor / FH Diploma) is not English must submit at least one of the following: TOEFL score indicating a minimum of 600 for Paper based test or 100 for internet based test; IELTS: With academic IELTS result of at least 6.5.

للطلاب الدوليين

A good honours degree in computer science, computer engineering or a related discipline with solid mathematical training or B) a good bachelor's degree in computer science, computer engineering or a related discipline with solid mathematical training and 2 years relevant industry experience and

A good TOEFL score (iBT = 92 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score (6.5 or more) for graduates of universities in which English is not the medium of instruction.

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