MS in Data Science & AI - International Masters Programme

The MS in Data Science & AI is a comprehensive 90 ECTS Level 7 programme accredited by the Council for Higher Education Development, USA and Malta Further & Higher Education Authority. This rigorous program combines theoretical foundations with practical applications through 12 modules and a Capstone Project. Students gain expertise in Python, R, machine learning, deep learning, computer vision, and NLP while developing essential research and entrepreneurial skills. The program features industry mentorship and focuses on building a strong professional portfolio.

English

Course Start Date:
February 01, 2025
Applications Deadline:
January 30, 2025
Duration:
18 Months

₹ 6,24,991

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Overview

The MS in Data Science & AI is a transformative program designed to develop expertise in advanced analytics, machine learning, and artificial intelligence. This internationally recognized degree combines rigorous academic training with practical industry applications.

Why MSc (Master of Science)?

Our program stands out through its industry-aligned curriculum, international accreditation, and focus on practical applications. Students benefit from mentorship, hands-on projects, and comprehensive career support.

What does this course have to offer?

Key Highlights

Internationally Recognized Masters Degree
Industry Expert Mentorship
Hands-on Project Experience
Flexible Learning Schedule
Comprehensive Career Support

Who is this programme for?

Working professionals seeking career advancement
Graduates interested in data science and AI
Technology professionals wanting to specialize
Researchers and analysts

Minimum Eligibility

Bachelor's degree in any discipline with mathematics background
IELTS score of 6 or equivalent English proficiency
Statement of Purpose required
Passport size photograph needed

Who is the programme for?

The admission process involves credential evaluation, statement of purpose review, and optional interviews. The academic structure combines online learning with practical projects and industry mentorship.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans 12 comprehensive modules covering statistics, mathematics, programming, machine learning, deep learning, computer vision, and NLP. Each module includes practical assignments and industry-relevant projects.

There are 13 semesters in this course

The program consists of 12 core modules and a capstone consulting project. Topics range from fundamental statistics and programming to advanced AI applications and research methods. Each module incorporates hands-on projects and real-world applications.

Statistics of Data Science

Mathematics for Data Science

Programming for analytics using Python

Data Virtualization and storytelling with tableau

Artificial Intelligence and Machine Learning

Machine Learning Methods using Python

Convolution and Recurrent Neural Networks

Computer Vision and Image Recognition

Natural Language Processing

Big Data and NoSQL

Data Warehousing and management

Research Methods

Capstone Consulting Projects

Programme Length

18 months of flexible online learning with optional time extensions available

Tuition Fee

The total program fee is EUR 6950 / USD 7150 with various payment options and potential discounts up to 55%. Payment plans and installment options are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

Students engage through an advanced learning management system with video lectures, interactive content, and practical assignments. Industry mentorship ensures real-world relevance.

University Experience

The program offers a rich online learning environment with access to global faculty, industry experts, and diverse learning resources. Students join an international community of learners.

Word from the Directors

László Grad-Gyenge

Managing Director, Creo Group

Welcome to this programme on MS Data Science & Artificial Intelligence. The curriculum depth and hybrid teaching style are highly effective.

About the University

EU Global is an accredited Institution of Higher Education based in Malta, focused on providing high-quality education to global learners through online, blended, and on-campus programs. The institution emphasizes project-based learning and evidence-based reflection, promoting lifelong employability globally. Their teaching methodology combines theoretical frameworks with practical real-world applications, supported by a Competency Lab that develops research, entrepreneurial, sustainability, and professional skills.

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Total Programs

7+

Languages Spoken

Affiliation & Recognition

MFHEA

EQF

MQF

APHE

Career services

EU Global provides comprehensive career development support focusing on global employability. The institution maintains strong partnerships with employers across Europe and offers extensive support for international career placement. Their approach emphasizes practical experience and industry-relevant skills development through their Competency Lab. Students receive guidance for employment opportunities in various countries, including the USA, Canada, UK, and Germany. The institution's focus on project-based learning and industry partnerships ensures students develop practical skills valued by employers. Their curriculum is designed to enhance global mobility and employability, with particular emphasis on digital transformation and contemporary business practices.

3000+

Job Offers

2000+

Internship Offers

Course Start Date:
February 01, 2025
Applications Deadline:
January 30, 2025
Duration:
18 Months

₹ 6,24,991

Add to compare

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What is the duration of the programme?

What are the admission requirements?

Is placement assistance provided?