GRITEx AI Science Programs

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:

CodeCourse NameCreditPrerequisites
CSCore Subjects 22 
CS201Computer Architecture and Organization2None
CS202Probability and Statistics for Artificial Intelligence2None
CS201Introduction to Artificial Intelligence2None
CS203Programming Design Paradigm4CS201
CS204Human Computer Interaction2CS201
CS207Knowledge Representation and Reasoning2CS201
CS205Artificial Intelligence Programming6CS203
CS206Artificial Intelligence Ecosystem2CS201
MLMachine Learning Specialization 9 
ML201Introduction Machine Learning1None
ML202Supervised Machine Learning3ML201
ML204Unsupervised Machine Learning3ML201
ML206Cloud Machine Learning2ML201
DLDeep Learning Specialization (Choose 02 subject) 4* 
CS203Artificial Neural Networks Algorithms and Models2CS201
CS204Recurrent Neural Networks Algorithms and Models2CS201
CS205Artificial Natural-Language Processing2CS202-CS203
CRComputer Vision and Robotics (Choose 01 subject) 6* 
CR201Computer Vision and Framework6CS201
CR202Intelligent Systems and Robotics6CS201
ESElectives Subjects (Choose at least 02 subjects) 3* 
ES201Real-Time Processing and Analytics3None
ES202Financial and Risk Analytics3None
ML201Data Structure and Algorithm1None
DL201Decision Analytics2None
DL202Data Visualization2None
DL203Time Series Analysis and Forecasting2None
DL204Relational and NoSQL Database Systems2None
DL204Analytics Application Engineering2None
DL205Analytics Systems Engineering2None
FSElectives Final Subjects (Choose 01 subject) 24* 
FS201Capstone Project24All
FS202Thesis Research24All
RSRequired Subjects 18 
RS201Indexed Scopus/SCI/IEEE/ISSN Journal Papers12All
RS202Tranformation and Implementation of Research Paper6RS201

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.