Master of Science in Data Science

Master of Science in Data Science – East Bridge University (EBU)

In a world that is driven by data-driven decision-making, data science as a discipline has emerged as a highly lucrative career pathway as more organisations will require skilled data scientists to carry out seamless operations. East Bridge University’s Master of Science in Data Science is a specialised course designed for individuals and professionals willing to hone their skills in data management and analysis, data mining as well as artificial intelligence, machine learning and security concepts. Our online Master's Degree in Data Science equips learners with the efficiencies and knowledge to make data-driven decision-making, setting them up for success in the fast-evolving field of data science.

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Course Overview

The Data Science Master’s degree from East Bridge University (EBU) aims to provide a comprehensive understanding of the theories and principles that govern the realm of data science across various industries. It equips candidates with the knowledge required to leverage data in optimising operations, enhancing customer experiences, and driving innovation in any organisation. With a holistic blend of concepts such as machine learning, data mining, and behavioural data science, our online Data Science Masters program enables candidates to take up lucrative career opportunities across a wide array of fields such as finance, healthcare, information technology, and beyond.

EBU’s Master of Science in Data Science is a completely online program, which gives learners the flexibility to pursue the course from anywhere in the world, and at their own pace without compromising their professional or personal commitments. Through a robust course curriculum and reflective and research-based assignments, the Master's Degree in Data Science provides students with a strong foundational understanding along with real-life, practical exposure. Learners are required to apply their theoretical knowledge to address real-world issues and concerns plaguing the field of data science.

Course Structure

Foundation: (10 Credits)

Conducting Accurate Internet Research
Digital Transformation

Core: (60 Credits)

Machine Learning and Data Management
Introduction to Artificial Intelligence
Fundamental Security Concepts
Advanced Research Methods for Scientific Inquiry
Language and Technology
Ethics and Project Management in Tech

Specialisation: (40 Credits)

Data Analysis Techniques
Data Mining
Behavioral Data Science
Ethics & Policy in Data Science

Capstone Project - 10 Credits

Research Paper on a topic related to your subject - 2000 words

Duration

The duration for East Bridge University’s online Master of Science in Data Science program is generally up to 24 months. Our program officers will help you complete the course in an accelerated process.

Eligibility Criteria

To be eligible to pursue a Master of Science in Data Science, an applicant must meet the following criteria:

A recognised bachelor's degree in any field or its equivalent.
Prior work experience and learning credits from previous courses.
A basic English Proficiency Level (IELTS Level 5.0, or studied all subjects in English at High School, or at least 55% of marks in English at High School).
Knowledge of conducting basic online research through internet browsing and proficiency in MS Word is desired.

Admission Process

The candidate needs to fill out the application form on our website.
After submitting the application form, the candidate receives an email from our enrollment department with detailed instructions.
The candidate is then required to fill out the admission evaluation form and submit their updated resume.
Upon the acceptance of enrollment, the candidate receives a provisional offer letter with the program fee, payment plan, and admissible scholarship, if any.
After the confirmation, the candidate is required to make the payment for the course fee, which marks the end of the application process.

Career Opportunities

This program prepares graduates for various industries, including finance, healthcare, IT, and business intelligence.

Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
AI Researcher
Data Engineer
Healthcare Data Scientist
Financial Analyst (FinTech)
Big Data Engineer
Operations Research Analyst
Ethical AI Consultant
Cloud Data Engineer
E-commerce Data Analyst

Fee Structure

The courses offered by East Bridge University come with the flexibility of taking the course from anywhere in the world, without the need to be available at any particular location. Our programs are designed such that they are affordable to people from all across the globe, keeping in mind the needs and requirements of people from various walks of life.

We understand the need for financial planning in any decision-making process and hence. We have easy instalment plans when it comes to fee payment, without any extra interest charged. All our payments can be done through various modes such as Credit Cards, Online Bank transfers, PayPal, or Cash at our Global Centers.

Our course fees include tax, program of study, LMS access, study guide, evaluation and assessment, diploma, and courier charges apply for Degree dispatch to your country. However, separate charges are applicable for Certificate Notary and Apostille which are issued from Paris.

Course Fee for EBU’s Master of Science programs:

Country	Currency	Amount
European Union	Euro	2430
United States of America	USD	2800
United Kingdom	GBP	2150
UAE	AED	10,275
India	INR	240000

Disclaimer: Please note that the fees are subject to minor changes when converted from EURO to other currencies.

Refund Policy:

If any students want to discontinue the course after the payment of their fees, and they have not received any course access, then 50% of the tuition fee will be refunded.
There will be no refund of course fees once the student is given access to the course materials.
All applications are advised to read the terms and conditions before making any payments.
The refund process may take up to 3 months.