GRITEx Data Science Programs

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:

CodeCourse NameCreditPrerequisites
MSCDS-CSCore Subjects 24 
MSCDS-CS201Math for Data Scientists2None
MSCDS-CS202Applied Statistics with R Language3None
MSCDS-CS203Applied Statistics with Python Language3None
MSCDS-CS204Introduction to Data Science2CS202-CS203
MSCAS-CS205Artificial Intelligence Ecosystem2CS204
MSCDS-CS206Foundations of Data Engineering2CS202-CS203
MSCDS-CS207Relational and NoSQL Database Systems2None
MSCDS-CS208Data Mining and Analysis4CS206
MSCDS-CS209Practical Machine Learning4CS203-CS207
MSCDS-DSData Modeling Specialization 12 
MSCDS-DM201Supervised Learning Methods2CS207
MSCDS-DM202Data Modeling for Supervised Learning3CS207-DM201
MSCDS-DM203Unsupervised Learning Methods2CS207
MSCDS-DM204Data Modeling for Unsupervised Learning3CS207-DM202
MSCDS-DM205Advanced Modeling Techniques2DM201-DM202
MSCDS-DAData Analytics Specialization (Choose 02 subjects) 4* 
MSCDS-DA201Decision Analytics2None
MSCDS-DA202Data Visualization2DA201
MSCDS-DA203Time Series Analysis and Forecasting2DA201-DA202
MSCDS-DA204Analytics Application Engineering2CS205
MSCDS-DA205Analytics Systems Engineering2CS205
MSCDS-ESElectives Subjects (Choose 02 subjects) 6* 
MSCDS-ES201Real-Time Processing and Analytics3CS206-CS208
MSCDS-ES202Financial and Risk Analytics3DM201-DM203
MSCDS-ES203Natural Language Processing3CS207-CS208
MSCDS-ES204Artificial Intelligence3CS207-CS208
MSCDS-ES205Deep Learning3CS207-CS208
MSCDS-ES206Computer Vision3CS207-CS208
MSCDS-ES207Intelligent Systems and Robotics3ES204-ES206
MSCDS-FSElectives Final Subjects (Choose 01 subject) 12* 
MSCDS-FS201Capstone Project12All
MSCDS-FS202Thesis Research12All
MSCDS-RSRequired Subjects 18 
MSCDS-RS201Indexed Scopus/SCI/IEEE/ISSN Journal Papers12All
MSCDS-RS202Tranformation and Implementation of Research Paper6RS201

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.