MasterStudy AI

Data Science and Artificial Intelligence – Professional Master’s Program

data-science.

Table of Contents

Program Overview
This professional master’s pathway is rooted in practical applications of AI and data science. Students gain deep expertise in mathematics, statistics, machine learning, big data, data management, and advanced modeling techniques. The curriculum is designed to deliver a comprehensive foundation in AI systems, while also advancing technical fluency in simulation, data visualization, and intelligent decision-making frameworks.

Hands-On, Multidisciplinary Learning
Learners engage directly with real-world scenarios and industry-relevant problems across domains such as computer linguistics, psychology, physics, biology, chemistry, and materials science. Ethical, legal, and philosophical dimensions of AI — including data privacy, security, and fairness — are integrated into the learning process to foster responsible innovation.

Research & Industry Integration
The program offers flexible tracks that include research-based internships, capstone projects, and applied industry placements. Participants collaborate with Master Study’s global network of AI professionals, engineers, and data scientists to develop solutions at the cutting edge of technological progress.

Expert-Led Instruction
Courses are delivered by industry practitioners, AI researchers, and educators from across Master Study’s ecosystem of global partners. With access to cutting-edge tools, research hubs, and advanced learning platforms, students are empowered to create intelligent systems that drive measurable impact in both academic and corporate environments.

Key Topics Covered

Our comprehensive curriculum bridges theory and practice in the following core areas:

Machine Learning & Deep Learning
Supervised, unsupervised, and reinforcement learning techniques used in modern AI systems.

Artificial Intelligence
Foundations of intelligent agents, decision-making, neural networks, and human-centered AI design.

Big Data & Scalable Computing
Frameworks and architectures for processing massive datasets, real-time analytics, and cloud-based AI systems.

Data Management & Engineering
Techniques for storing, cleaning, transforming, and managing structured and unstructured data.

Modeling & Simulation
Mathematical modeling, algorithmic simulations, and predictive systems across scientific and business domains.

Data Visualization
Interactive dashboards, graphical data exploration, and visual storytelling for decision-making.

Mathematics & Statistics for AI
Probability, linear algebra, optimization, and statistical inference tailored for intelligent systems.

Computer & Data Security
Ethical AI, cybersecurity principles, data governance, and protection of sensitive information.

Program Structure

The program consists of 120 credit points (CP), designed to balance core foundations with specialization and applied experience:

18 CP – Core Courses in Data Science & AI
Fundamental AI concepts, data handling, and algorithmic thinking.

9 CP – Core Informatics Courses
Computer science essentials, including data structures, software engineering, and systems.

27–31 CP – Advanced Topics & Elective Lectures in AI & Data Science
Specialized tracks, including NLP, robotics, vision, or health AI.

7 CP – Seminars in Data Science & AI
Research-focused sessions on emerging topics and case studies.

Minimum 17 CP – Elective Modules
Choose from interdisciplinary subjects or pursue certifications in cloud computing, IoT, or business analytics.

12 CP – Master's Module
Preparation and development of your final research topic, including a seminar presentation.

30 CP – Master’s Thesis
A capstone research or applied project with academic or industry relevance, supported by faculty and AI mentors.

Admission Requirements

To apply for the Professional Master's Program in Data Science and Artificial Intelligence at Master Study, candidates must meet the following criteria:

Bachelor’s Degree
A recognized undergraduate degree (minimum 180 ECTS or equivalent) in Computer Science, Data Science, AI, Software Engineering, or a closely related field from an accredited institution.

Foundational Knowledge
Applicants must demonstrate solid academic grounding in the following areas, equivalent to a Bachelor's-level education in Data Science or Artificial Intelligence:

Mathematics: Linear algebra, multivariable calculus, probability, statistics, discrete mathematics, and numerical methods

Theoretical Computer Science: Computability, computational complexity

Practical Computer Science: Object-oriented and functional programming, algorithms and data structures, database systems

Core AI & Data Disciplines: Machine Learning, Artificial Intelligence fundamentals, and Data Mining

English Language Proficiency
Non-native English speakers must provide proof of advanced English skills (minimum C1 level on the CEFR scale).

Application Materials

A personal motivation statement explaining your interest in the field and the program

Two academic letters of recommendation from referees familiar with your qualifications and academic abilities

Application Timeline

Intake Options: Students can begin their studies in either the Spring or Fall semester.

Semester StartApplication DeadlineDecision Notification
Spring (March)15 NovemberBy mid-February
Fall (September)15 MayBy mid-July

 

Early application is strongly encouraged to secure admission and begin visa or funding preparations where applicable.

Program Regulations & Guidelines

All students enrolled in the Professional Diploma in Data Science and Artificial Intelligence at Master Study are subject to the following academic guidelines:

Program Structure & Study Policies

Academic Regulations

Assessment & Examination Guidelines

Specialization Track Requirements

Updated and Archived Regulation Policies

Program Resources

Course Catalog & Modules

Detailed Module Handbook

Study Guide and Elective Overview

Curriculum Overview at a Glance

Program Snapshot

Program Duration 

4 Semesters (Full-Time)

English

CEFR Level C1 (or equivalent)

None (Open to eligible applicants)

No tuition fees

Refer to current fee structure

  
Language of Instruction  
English Proficiency  
Entry Restrictions  
Tuition Fees  
Semester Fee  

Application Deadlines

Start TermEarly DeadlineDecision NotificationFinal Deadline
Fall SemesterMay 15By mid-JulyNovember 15
Spring SemesterNovember 15By mid-FebruaryMay 15

 

Official Information & Contact

For detailed academic regulations, semester calendars, and downloadable handbooks, please visit the Master Study Program Page.

Program Advising & Support

Academic Coordination Team – AI & Data Science Division
📍 Master Study Global HQ
📧 learn@masterstudy.ai

General Student Support Services

Global Admissions & Student Experience Office
📍 Worldwide Campuses – UAE | Lebanon | Germany | Online
📧 admissions@masterstudy.ai
🌐 www.masterstudy.ai

   Read also about  Big Data and AI Integration 

Accreditation & Quality Assurance
Master Study’s academic programs are globally benchmarked and adhere to internationally recognized quality assurance frameworks, ensuring excellence in AI and Data Science education.