The Doctor of Comupter Science in Data Science program rigorously trains data scientists of the future who can

• Develop methodology and harness statistical tools to find answers to questions that transcend the boundaries of traditional academic disciplines for supporting making-decision any business domain.
• Clearly transfer and communicate to extract crisp questions from big data, heterogeneous data, and uncertain data.
• Effectively translate fundamental research insights into data science practice in the sciences, medicine, healthcare, industry, manufacturing, and government.
• have aware of the ethical implications of their work and contributions.

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

Code	Course Name	Credit	Prerequisites
GS	General Subjects	∑ 12
GS201	Introduction and Principles of Data Science	1	None
GS202	Mathematical Foundations for Data Science	1	None
GS203	Statistical Computing with Python Language	2	None
GS203	Statistical Computing with SAS Language	1	GS203
GS204	Statistical Computing with R Language	1	GS203
GS205	Regression Analysis Methods	2	GS203
GS206	Applied Linear Models and Methods	2	GS203
GS207	Graph Theory in Data Science	2	GS203
CS	Computational Systems	∑ 6
CS201	Distributed Systems and Cloud Computing	3	None
CS202	Advanced Algorithm Design and Implementation	3	None
AM	Data Architecture and Management (Choose 04 subjects)	∑ 12
AM201	Advanced Data Mining and Analysis	3	None
AM202	Data Architecture and Modeling	3	None
AM203	Advanced Modeling Techniques	3	AM202
AM204	Data Management System Design	3	AM202
AM205	Enterprise Database Management	3	AM202
AM206	Big Data Integration and Management	3	AM201
AM207	Mobile Systems and Applications	3	None
AI	AI and Machine Learning (Choose 03 subjects)	∑ 6*
AI201	Artificial Intelligence	2	None
AI202	Machine Learning	2	AI201
AI203	Natural Language Processing	2	AI201
AI204	Foundations of Computer Vision	2	AI201-AI202
AI205	Intelligent Systems and Robotics	2	AI201-AI202
DA	Data Analytics Specialization (Choose 04 subjects)	∑ 8*
DA201	Inferential Statistics and Predictive Analytics	2	None
DA202	Applied Multivariate Analysis	2	DA201
DA203	Quantitative Research Design & Methodology	2	DA201-DA202
DA204	Qualitative Research Design & Methodology	2	CS205
DA205	Constructive Research Design & Methodology	2	CS205
DA205	Data Visualization and Data Reporting	2	CS205
DA205	Business Intelligence and Case Studies	2	CS205
FS	Electives Final Subjects	∑ 12
FS202	Thesis Research	6	All
RS	Required Subjects	∑ 16
RS201	Indexed Scopus/SCI/IEEE/ISSN Journal Papers	12	All
RS202	Tranformation and Implementation of Research Paper	4	RS201

To be considered for entry into DSc in Data Science Program please submit the following:

• Required - Online Registration Application
• Required - Registration fee of DSc in Data Science Program.
• Required - Copy of Master of Computer Science degree from College or University attended.
• Required - Copy (02 sides) of Passport or National Identify Card.

Doctoral 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.

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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.

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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.

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To be graduated and got the Doctor of Computer Science in Data Science degree, YOU MUST BE

• Completed - Payment of Registration fee of Program.
• Fulfilled and Submitted - Assigment of 22 subjects (58 credits) of Doctor of Computer Science in Data Science Program.
• Fulfilled and Submitted - Capstone project or Thesis of Program.
• Indexed Scopus, SCI, ISSN and Submitted - at two (02) journal papers in Data Science field to the training management department.

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 DSc in Data 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.