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.Apply Program Now!
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:
|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|
|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*|
|RS||Required Subjects||∑ 18|
|RS201||Indexed Scopus/SCI/IEEE/ISSN Journal Papers||12||All|
|RS202||Tranformation and Implementation of Research Paper||6||RS201|
To be considered for entry into MSc in AI Science Program please submit the following:
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.
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.
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.
To be graduated and got the Master of Computer Science in AI Science degree, YOU MUST BE
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.