GRITEx - Master of Computer Science in Data Science

MSc in Data Science Program Description

Data Science is a dynamic field that’s becoming increasingly valuable to many companies, small, large and mid-size. From capturing data to communicating results, data scientists play an important role in helping businesses make strategic decisions and optimize outcomes. Where it traditionally encompassed data mining, programming skills, and analyzing sets of data, data science today is expansive and involves looking at the entire data science life cycle.

Master of Computer Science in Data Science 100% online program will provides the knowledge, skills and experience to equip the graduate to operate independently as a data scientist within any business domain. The training it provides also supports several career paths, by: honing data skills at the frontier of machine intelligence research to become a data scientist for hire; up-skilling to build intelligent data-driven systems in an existing area of expertise (e.g., data mining, data analysis); improving scientific research through training in data management, analysis, and modelling.

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MSc in Data Science Syllabus

Earning a Master of Computer Science in Data 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 data engineering, data architecture, big data engineering or computer programming.

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

Code	Course Name	Credit	Prerequisites
MSCDS-CS	Core Subjects	∑ 24
MSCDS-CS201	Math for Data Scientists	2	None
MSCDS-CS202	Applied Statistics with R Language	3	None
MSCDS-CS203	Applied Statistics with Python Language	3	None
MSCDS-CS204	Introduction to Data Science	2	CS202-CS203
MSCAS-CS205	Artificial Intelligence Ecosystem	2	CS204
MSCDS-CS206	Foundations of Data Engineering	2	CS202-CS203
MSCDS-CS207	Relational and NoSQL Database Systems	2	None
MSCDS-CS208	Data Mining and Analysis	4	CS206
MSCDS-CS209	Practical Machine Learning	4	CS203-CS207
MSCDS-DS	Data Modeling Specialization	∑ 12
MSCDS-DM201	Supervised Learning Methods	2	CS207
MSCDS-DM202	Data Modeling for Supervised Learning	3	CS207-DM201
MSCDS-DM203	Unsupervised Learning Methods	2	CS207
MSCDS-DM204	Data Modeling for Unsupervised Learning	3	CS207-DM202
MSCDS-DM205	Advanced Modeling Techniques	2	DM201-DM202
MSCDS-DA	Data Analytics Specialization (Choose 02 subjects)	∑ 4*
MSCDS-DA201	Decision Analytics	2	None
MSCDS-DA202	Data Visualization	2	DA201
MSCDS-DA203	Time Series Analysis and Forecasting	2	DA201-DA202
MSCDS-DA204	Analytics Application Engineering	2	CS205
MSCDS-DA205	Analytics Systems Engineering	2	CS205
MSCDS-ES	Electives Subjects (Choose 02 subjects)	∑ 6*
MSCDS-ES201	Real-Time Processing and Analytics	3	CS206-CS208
MSCDS-ES202	Financial and Risk Analytics	3	DM201-DM203
MSCDS-ES203	Natural Language Processing	3	CS207-CS208
MSCDS-ES204	Artificial Intelligence	3	CS207-CS208
MSCDS-ES205	Deep Learning	3	CS207-CS208
MSCDS-ES206	Computer Vision	3	CS207-CS208
MSCDS-ES207	Intelligent Systems and Robotics	3	ES204-ES206
MSCDS-FS	Electives Final Subjects (Choose 01 subject)	∑ 12*
MSCDS-FS201	Capstone Project	12	All
MSCDS-FS202	Thesis Research	12	All
MSCDS-RS	Required Subjects	∑ 18
MSCDS-RS201	Indexed Scopus/SCI/IEEE/ISSN Journal Papers	12	All
MSCDS-RS202	Tranformation and Implementation of Research Paper	6	RS201

Admissions Requirements

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

Required - Online Registration Application
Required - Registration fee of MSc in Data 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 Data Science program

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

Completed - Payment of Registration fee of Program.
Fulfilled and Submitted - Assigment of 19 subjects (52 credits) of Master of Computer Science in Data Science Program.
Fulfilled and Submitted - Capstone project or Thesis of Program.
Indexed Scopus, SCI, ISSN and Submitted - at least one journal paper 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 MSc 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.