Master of Science in Data Science

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Duration

18 Months

Method

Online

Time

Full Time

Level

master

> Overview

The Masters in Data Science is an 18-month professional master’s program designed for students who want to begin or advance their careers in data science. Our industry-relevant curriculum gives you the skills to extract valuable insights from big data. This program equips you with expertise in statistical modeling, data management, machine learning, data visualization, software development, research design, data ethics, and user experience to meet the growing needs of industry, nonprofits, government agencies, and other organizations. Our students have high undergraduate grades and technical skills, but we look for more when forming our cohorts and welcome students from a variety of backgrounds and perspectives. Because of this, our programs can offer a unique lived experience.

> Programme Aim

Apply the necessary skills to communicate effectively, thoughtfully, and compassionately within the global Analytics field.
Apply, synthesize, analyze, and integrate the knowledge of Data Science, Python, Machine Learning, and Artificial intelligence to arrive at innovative solutions to organizational problems.
Demonstrate the skills to work in multicultural organizations within a globalized society.
Demonstrate the ability to develop, analyze and communicate empirical scholarly work.
Develop the competencies in Data Science

> Admission Requirements

General Admission Requirements

Submission of a copy of valid government-issued picture identification.

Submission of a copy of an updated Resume.
Any document not in English must be accompanied by a certified translated copy.

Additional Admission Requirements for Master of Science in Data Science.

Submit a 500-word essay (Minimum) summarising the applicant’s interest in the program and their professional goals.
Provide an Official undergraduate degree transcript in business, marketing, management, operations management, statistics, or a related field with a GPA of 2.5 or higher.
Provide two (2) Professional Recommendation Letters.
A professional readiness interview will be conducted with the Director of Education if the GPA is below 2.5.

> Course Content

Programme

Ref No.	Module Title
MDS500	Python Programming \| 4 Credit Hours
MDS510	Data Base Management System \| 4 Credit Hours
MDS520	R Programming \| 4 Credit Hours
MDS530	Exploratory Data Analysis \| 4 Credit Hours
MDS540	Machine Learning \| 4 Credit Hours
MDS550	Machine Learning Model Deployment \| 4 Credit Hourss
MDS560	Artificial Intelligence \| 4 Credit Hours
MDS570	Data Visualization Using Tableau/Power BI \| 4 Credit Hours
MDS600	Capstone Project \| 4 Credit Hours

> University

> How To Apply

Just click the “Apply Now” button, fill out the form, and submit it. For more detailed information, you can download our brochure by clicking the “Download Brochure” button below.