GRITEx - Master of Computer Science in AI Science

MSc in AI Science Program Description

AI is a research field that studies how to realize intelligent human behaviors on a computer. The big goal of AI is to make a computer that can learn, plan, and solve problems autonomously in the real world. In fact, AI has been studied for more than five decades, scientists still cannot make a computer that is as intelligent as a human in all aspects although they have many successful applications. Nowadays, the computer equipped with AI technology can be even more intelligent than us.

The Master of Science in AI Science 100% online program (MSCAS) will provide the knowledge, skills and experience to equip the graduate to operate independently as a AI scientist within any business domain. The training it provides also supports several career paths, by: honing machine learning skills, deep learning skills, data skills, and IoT technology at the frontier of artificial intelligence research to become a AI scientist for hire; up-skilling to build AI-driven systems in an existing area of expertise (e.g., manufacturing, healthcare); improving scientific research through training in machine learning, deep learning, computer vision, robotics, and AI modelling.

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MSc in AI Science Syllabus

Earning a Master of Computer Science in AI Science can help you gain a broad skill set and knowledge that can be applied to a vast number of tech-related careers, such as AI engineering, AI science, machine learning engineering, robotics, or computer vision.

To be qualified program, you must be learned knowledge and completed the assignments in the following subjects:

Code	Course Name	Credit	Prerequisites
CS	Core Subjects	∑ 22
CS201	Computer Architecture and Organization	2	None
CS202	Probability and Statistics for Artificial Intelligence	2	None
CS201	Introduction to Artificial Intelligence	2	None
CS203	Programming Design Paradigm	4	CS201
CS204	Human Computer Interaction	2	CS201
CS207	Knowledge Representation and Reasoning	2	CS201
CS205	Artificial Intelligence Programming	6	CS203
CS206	Artificial Intelligence Ecosystem	2	CS201
ML	Machine Learning Specialization	∑ 9
ML201	Introduction Machine Learning	1	None
ML202	Supervised Machine Learning	3	ML201
ML204	Unsupervised Machine Learning	3	ML201
ML206	Cloud Machine Learning	2	ML201
DL	Deep Learning Specialization (Choose 02 subject)	∑ 4*
CS203	Artificial Neural Networks Algorithms and Models	2	CS201
CS204	Recurrent Neural Networks Algorithms and Models	2	CS201
CS205	Artificial Natural-Language Processing	2	CS202-CS203
CR	Computer Vision and Robotics (Choose 01 subject)	∑ 6*
CR201	Computer Vision and Framework	6	CS201
CR202	Intelligent Systems and Robotics	6	CS201
ES	Electives Subjects (Choose at least 02 subjects)	∑ 3*
ES201	Real-Time Processing and Analytics	3	None
ES202	Financial and Risk Analytics	3	None
ML201	Data Structure and Algorithm	1	None
DL201	Decision Analytics	2	None
DL202	Data Visualization	2	None
DL203	Time Series Analysis and Forecasting	2	None
DL204	Relational and NoSQL Database Systems	2	None
DL204	Analytics Application Engineering	2	None
DL205	Analytics Systems Engineering	2	None
FS	Electives Final Subjects (Choose 01 subject)	∑ 24*
FS201	Capstone Project	24	All
FS202	Thesis Research	24	All
RS	Required Subjects	∑ 18
RS201	Indexed Scopus/SCI/IEEE/ISSN Journal Papers	12	All
RS202	Tranformation and Implementation of Research Paper	6	RS201

Admissions Requirements

To be considered for entry into MSc in AI Science Program please submit the following:

Required - Online Registration Application
Required - Registration fee of MSc in AI Science Program.
Required - Copy of Bachelor of Computer Science degree from College or University attended.
Required - Copy (02 sides) of Passport or National Identify Card.

Master accepted students must enroll (confirm and register) as per the instruction given. Online program without assistantship or self-paced students will not need to pay the school fees.

A program tailored to you

You can enter this program with a background in Computer Science or Information Technology, and the program will be tailored to build your skills in the other discipline.

Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.

Flexibility to follow your interests and capstone project

Core subjects will give you a solid grounding in data science, so you can choose the business domain with a major data science project to feature in your field.

In the capstone project, you can apply data science tools to a practical problem by working individually or as part of a team to showcase your major skills.

Acceptance Criteria to graduate the Master of Computer Science in AI Science program

To be graduated and got the Master of Computer Science in AI Science degree, YOU MUST BE

Completed - Payment of Registration fee of Program.
Fulfilled and Submitted - Assigment of 16 subjects (50 credits) of Master of Computer Science in AI Science Program.
Fulfilled and Submitted - Capstone project or Thesis of Program (24 credits).
Indexed Scopus, SCI, ISSN and Submitted - at least one journal paper in AI Science field to the training management department (12 credits).

Once you submit a complete all required materials are received, your file will be sent to be reviewed by the Doctoral Committee. Material documents are reviewed by the Doctoral Committee after the deadline is passed. The GRITEx will indicate when your program is complete and make a plan to certify MSc in AI Science degree to you.

If you have understood program structure and graduation requirements, please click on Apply Program Now! at the top of our home page and create an account then following instructions.