Master of Science in Artificial Intelligence | Asia Pacific University (APU)

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Master of Science in Artificial Intelligence

Duration:
Full time (1+ years)
Part time (2-3 years)

Award:
APU, Malaysia

Intakes:
Full-time:
11 Jan 2021


Part-time:
06 Nov 2020

APU-DMU Dual Degree Programme

Students who are under Masters Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

To know more about APU-DMU Dual Scheme, please click HERE
 


Digital Transformation for IR4.0

This programme is specifically designed to provide:

  • Advanced skills and techniques in artificial intelligence.
  • Research opportunities to solve meaningful industrial problems with artificial intelligence techniques.
  • Advanced research opportunities in artificial intelligence in preparation for doctoral studies.

Admission Requirements:

ProgrammesGeneral Requirements

Master of Science in Artificial Intelligence*

• Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate.

• Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).

• Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.

• English Requirements: IELTS 5.0

Notes :
* Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.

ENGLISH REQUIREMENTS
(Only Applicable to International Students)

Please note that under Ministry of Higher Education regulations, only students who have achieved the minimum requirement in the English Language proficiency assessment as indicated above will be allowed to continue their studies in the main study programme. Students who do not have the required English Language achievement may apply for a student visa on conditional basis and are allowed to enrol in an English Language Certification programme at APU upon arrival in Malaysia and, subsequently, appear for the IELTS/TOEFL/PTE/MUET assessment. Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.

Students from English speaking countries and those with qualifications taught in English (previous Bachelor’s/Master’s Degree taught in English) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).


Joint Professional Certification by TIBCO Software Inc.

Upon completion of the MSc in Artificial Intelligence & MSc in Data Science & Business Analytics programme, in addition to their Masters Degrees, students will receive a professional certificate from TIBCO Software Inc. TIBCO is amongst the global leaders in Integration, Data Management and Analytics platforms that has a global clientele. In addition to the certification, TIBCO, as APU's industry partner, has provided all students & lecturers with complimentary access to the TIBCO Spotfire software for academic purposes. Students are utilizing the software to perform tasks & projects related to data analytics.



Source:
https://www.sas.com/content/dam/SAS/en_us/doc/infographic/artificial-intelligence-109282.pdf
https://www.sas.com/en_my/insights/analytics/what-is-artificial-intelligence.html
https://blogs.thomsonreuters.com/answerson/machine-learning-business-implications/


The power of artificial intelligence is “so incredible, it will change society in some very deep ways”
- Bill Gates, Microsoft Co-Founder

Source: https://www.cnbc.com/2019/03/26/bill-gates-artificial-intelligence-both-promising-and-dangerous.html


“A.I. is more important than fire or electricity”
- Sundar Pichai, Google CEO

Source: https://www.cnbc.com/2018/02/01/google-ceo-sundar-pichai-ai-is-more-important-than-fire-electricity.html


“The rise of artificial intelligence (AI), machine learning, and robotics will lead to the loss of up to 20 million manufacturing jobs worldwide by 2030”
- Oxford Economics

Source: https://www.techrepublic.com/article/robots-will-kill-20m-manufacturing-jobs-by-2030/


The Benefits of the Programme:

On successful completion of this programme, you will be able to :

  • Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems.
  • Grasp knowledge on a wide range of subject matters ranging from Machine Learning, Robotics to Natural Language Processing.
  • Effectively undertake and manage large scale and complex Artificial Intelligence (AI) projects.
  • Engage in the design and implementation of Artificial Intelligence (AI) systems of high quality and reliability.
  • Appreciate problems and suggest solutions associated with the development of Artificial Intelligence (AI) systems.
  • Appreciate how an efficient Artificial Intelligence (AI) technology based infrastructure is a key factor in enabling a business to gain a competitive edge.
  • Draw upon the body of knowledge and be able to overcome human limits to solve new problems using Artificial Intelligence (AI).

Who Should Attend:

This programme is geared towards practicing IT / Computing professionals within industry who seek further formal qualifications in Artificial Intelligence. In addition, professionals and managers who wish to enhance themselves with Artificial Intelligence knowledge and skills to postgraduate level will find this programme attractive. Fresh undergraduate students from Artificial Intelligence / Software Engineering / Data Science background will also find this programme worthwhile as a path to further enhance their academic qualifications.


Modules & Project:

The programme comprises 3 pre-requisite modules (for non-Computing students), 10 modules including 3 elective modules and a Project.

Pre-Requisite Modules (For non-Computing students: to be completed upon 1st month of the programme)
  • Programming in Python
  • Data Structures and Algorithms
  • Fundamentals of Artificial Intelligence
Core Modules

Elective Modules (Choose 3)*

  • Artificial Intelligence
  • Image Processing and Computer Vision
  • Fuzzy Logic
  • Applied Machine Learning
  • Computational Intelligence Optimization
  • Natural Language Processing
  • Research Methodology in Computing and Engineering
  • Project
  • Applied Robotics
  • Pattern Recognition
  • Expert Systems and Knowledge Engineering
  • Business Intelligence Systems
  • Multivariate Methods for Data Analysis
  • Deep Learning

*Elective modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules – however such changes may prolong the study duration.


Project:

You will be expected to conduct effective research in relation to Artificial Intelligence for both academic and industry purposes. Either route will require you to plan and conduct effective academic research, and produce one academic paper, consultancy report or academic paper in relation to an aspect of Artificial Intelligence.


Career Options:

  • Software Engineer
  • Data Scientist
  • AI Researcher
  • Intelligence Specialist
  • Consultant 
  • AI Data Analyst
  • Machine Learning Engineer
  • Robotics R&D Engineer
  • Machine Vision Engineer
  • Artificial Intelligence Analyst
  • Deep Learning Scientist

Course Fees:

Malaysian Students

International Students

RM 32,600

RM 38,500 (USD 9,630)

Fees stated above do not include Enrolment Fees, Registration Fees and other Miscellaneous Fees.

(N/481/7/0811)(06/24)(MQA/PA11933)

All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.