Master of Science in Data Analytics (M.Sc.)Program taught entirely in EnglishClassroom-based teaching at the Touro University Berlin CampusDuration: 2 years (4 semesters)Total workload: 36 U.S. CreditsShared Core Courses: 24 U.S. CreditsConcentration Courses: 9 U.S. CreditsCompletion Requirement: 3 U.S. CreditsTwo professional concentrations:Business ConcentrationTechnology/Database Concentration

€4,200 per semester (full-time)For additional information regarding administrative fees, payment schedules, and financing options, please contact the Admissions Office.

Duration: 2 years4 semesters36 U.S. CreditsClassroom-based teachingFall and Spring intake

20th January for Spring Intake 20th of August for Fall Intake Admission can extend to 3rd September for Fall Intake e.g. for VISA reasons Early Admission Possible and highly encouraged In case of questions please contact your admissions department admissions@berlin.touro.edu

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Master of Science in Data Analytics (MSc)

The Future Belongs to People Who Understand and Design Data

The Master of Science in Data Analytics prepares students to transform data into meaningful insights and strategic decisions. Combining analytics, programming, business intelligence, and Artificial Intelligence, the program equips graduates with the practical skills needed to solve complex challenges in today's data-driven world.

About Touro Berlin

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Data Analytics (MSc)

The future belongs to professionals who can turn data into knowledge. The Master of Science in Data Analytics combines business insight, technical expertise, and Artificial Intelligence to prepare students for careers where data drives innovation, strategy, and smarter decision-making.

Every day, organizations make decisions based on data. Some use data effectively. Others are overwhelmed by the growing volume and complexity of information available to them.

At the same time, Artificial Intelligence is transforming the way businesses operate, conduct research, solve complex problems, and support decision-making. Yet even the most advanced AI systems depend on one essential ingredient: high-quality data. Artificial Intelligence can only produce meaningful, reliable, and responsible results when it is built upon structured, accurate, and well-managed information.

The Master of Science in Data Analytics at Touro University Berlin prepares students to become the professionals who create that foundation. Throughout the program, students learn how to collect, organize, analyze, interpret, visualize, and communicate data so that organizations—and the Artificial Intelligence systems they increasingly rely on—can make informed and reliable decisions.

The program combines analytical thinking, technical knowledge, business understanding, and communication skills within an American university education in Germany. Students study entirely in English through classroom-based teaching at the Touro University Berlin campus while earning a Master of Science in Data Analytics.

Why Study Data Analytics?

Data has become one of the world's most valuable resources. Organizations across business, finance, healthcare, government, research, and technology increasingly rely on data to guide strategy, improve performance, reduce risk, and support innovation.

As Artificial Intelligence becomes integrated into nearly every industry, the importance of reliable data continues to grow. AI systems do not create knowledge independently—they learn from data. Poor-quality data leads to poor-quality results, while well-structured, validated, and carefully managed data enables Artificial Intelligence to deliver meaningful insights and support better decision-making.

The Master of Science in Data Analytics prepares students to understand not only how data is analyzed, but also how it becomes the foundation for modern Artificial Intelligence. Students develop the knowledge required to evaluate analytical results, communicate findings clearly, and use both data and AI responsibly in professional environments.

Shape Your Degree Around Your Career Goals

The Master of Science in Data Analytics combines a strong common core curriculum with the opportunity to specialize in one of two professional concentrations. Students complete a shared foundation in data analytics before choosing the pathway that best supports their individual career goals and professional interests.

The program offers two concentrations:

Business Concentration

The Business Concentration is designed for students who want to use data to improve business performance, support management decisions, and translate complex information into strategic action. It prepares students for careers in business analytics, financial analysis, risk management, marketing analytics, consulting, operations, and management while demonstrating how reliable data supports effective Artificial Intelligence applications in business environments.

Technology/Database Concentration

The Technology/Database Concentration is designed for students who want to understand the technical foundation behind data analytics and Artificial Intelligence. Students develop expertise in databases, data management, programming, visualization, and the technologies that allow organizations to collect, structure, manage, analyze, and visualize information. The concentration emphasizes the importance of creating reliable data foundations that enable Artificial Intelligence to perform effectively.

Both concentrations lead to the Master of Science in Data Analytics degree and prepare graduates for careers in today's rapidly growing data economy.

Can I Study This Program?

Applicants who hold a bachelor's degree and want to build a future in data analytics, business analytics, Artificial Intelligence, or data-driven decision-making are encouraged to apply.

Students do not need to come exclusively from computer science or business backgrounds. Applicants from different academic disciplines may be eligible for admission. Where necessary, preparatory courses help students build the technical foundation required for success in the program. The program is designed for students who want to strengthen their analytical thinking, develop practical data skills, understand modern analytical technologies, and prepare for careers where data and Artificial Intelligence play an increasingly important role.

Why Choose Touro University Berlin?

The Master of Science in Data Analytics combines practical learning with strategic thinking and an international classroom environment. Students work with data, analytical tools, visualizations, case studies, and real-world applications rather than studying theory alone. The curriculum connects data analytics with decision-making across business, research, finance, healthcare, government, technology, and other professional fields.

Artificial Intelligence is an important focus throughout the program. Rather than simply learning how to use AI tools, students develop an understanding of how AI works, how it learns from data, how to evaluate AI-generated results, and how reliable data supports responsible Artificial Intelligence.

The program is delivered through classroom-based teaching that encourages discussion, teamwork, direct interaction with faculty, and personal academic support. Students join an international learning environment in Berlin, studying alongside classmates from many countries and cultural backgrounds while becoming part of the Touro Berlin community. Professors know their students personally, creating a supportive university environment where students are encouraged to grow academically and professionally.

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Program Structure

The Master of Science in Data Analytics consists of 36 U.S. credits completed over two years of full-time study. The curriculum combines a shared academic foundation with the opportunity to specialize in a professional concentration. Throughout most of the program, students study together and develop core competencies in data analytics, programming, statistics, visualization, database management, business intelligence, and Artificial Intelligence. During the later stages of the degree, students deepen their expertise by selecting one of two professional concentrations that align with their career goals.

The program is structured as follows:

Shared Core Courses: 24 U.S. credits
Concentration Courses: 9 U.S. credits
Completion Requirement: 3 U.S. credits

This structure provides students with a comprehensive understanding of modern data analytics while allowing them to build specialized knowledge in either business applications or technical data systems.

Choose Your Professional Concentration

Students in the Master of Science in Data Analytics may shape their studies by selecting one of two professional concentrations. Both pathways build upon the same core curriculum while preparing graduates for different professional environments.

Although each concentration has a different emphasis, both share the common objective of helping students transform data into meaningful insights and support organizations in an increasingly data-driven and AI-supported world.

Regardless of the concentration selected, every student completes a common set of core courses that establish a strong foundation in data analytics, programming, statistics, visualization, business intelligence, database management, communication, and Artificial Intelligence.

This shared curriculum allows students from both concentrations to study together while developing essential analytical skills before specializing in their chosen professional pathway.

By the end of the program, graduates have developed practical knowledge that can be applied across business, technology, consulting, finance, risk management, data systems, and AI-supported workplaces. Students learn not only how to analyze data, but also how to transform information into meaningful decisions and build the reliable data foundation that modern Artificial Intelligence depends upon.

Curriculum

The Master of Science in Data Analytics combines theoretical knowledge with practical application. Throughout the program, students develop expertise in statistical analysis, programming, database management, business intelligence, data visualization, Artificial Intelligence, and strategic decision-making.

Courses are designed to prepare students to analyze complex datasets, communicate insights effectively, and support organizations in making informed, data-driven decisions.

Statistics for Data Analytics

This course provides the statistical foundation for professional data analysis. Students learn descriptive statistics, probability theory, sampling techniques, confidence intervals, hypothesis testing, linear regression models, and data visualization methods. Students also gain practical experience using SPSS to analyze real-world datasets.

Principles of Data Analytics

Students are introduced to the core principles of data analysis using Microsoft Excel. The course covers analytical functions, data tables, pivot tables, goal seeking, solver tools, probability theory, and analysis of variance, helping students build practical analytical skills that can be applied across many industries.

Multi-Dimensional Analytics and Visualization Technologies

Organizations increasingly manage data as a strategic asset. This course explores how data management supports competitive advantage and regulatory requirements while introducing students to the professional roles and skills involved in modern data management and visualization.

Analytical Storytelling with Data

Effective data analysis depends not only on technical accuracy but also on clear communication. Students learn how to transform complex analytical results into compelling visual narratives by combining data visualization, statistical reasoning, and storytelling techniques that support informed decision-making.

Database Management and Administration Technologies

This course introduces students to the design, implementation, administration, and practical use of modern database systems. Students learn why database design is fundamental to business administration and information management while developing practical database skills.

Advanced Database Management and Data Analytics

Building upon previous database knowledge, students explore advanced data modeling, database integrity, transaction management, stored procedures, user-defined functions, SQL programming, query optimization, and database performance tuning.

Business Intelligence Through Data Visualization

Students learn how to connect multiple data sources, transform information, design data models, and create dashboards using modern business intelligence tools. Topics include visualization, trend analysis, filtering, advanced formatting, and analytical reporting through interactive dashboards.

Analytics Data Modeling and Strategic Decisions

Students learn practical approaches to creating data models and applying analytics tools to strategic decision-making. Through lectures and hands-on laboratory work, students apply analytical concepts and technologies to real-world business situations.

R for Data Analytics

This course introduces students to R programming for data analysis. Students learn the fundamentals of R syntax, variables, vectors, matrices, arrays, data frames, functions, debugging, and working with structured datasets. Additional topics include importing and exporting data, manipulating text, and working with dates.

Python for Data Analytics

Students develop practical programming skills using Python for data analysis. The course introduces Python programming fundamentals together with NumPy and pandas for data manipulation, cleaning, grouping, merging, pivot tables, and basic statistical analysis.

AI Principles and Practice

Artificial Intelligence has become an essential component of modern analytics. This course introduces machine learning, natural language processing, intelligent systems, ethical considerations, and practical AI applications across industries including healthcare, finance, education, and government. Students develop a practical understanding of AI concepts and responsible decision-making without requiring a technical background.

Effective Oral and Written Communication for Managers

Data professionals must communicate analytical results clearly and effectively. This course strengthens students' oral and written communication skills while preparing them to present analytical findings in professional and international business environments.

Internship or Advanced Research Project

During the final stage of the program, students complete either an internship or an advanced research project. This experience allows students to apply their knowledge to professional practice, research topics, or advanced projects related to business analytics or technology, depending on their chosen concentration.

Practical Learning Throughout the Program

Throughout the curriculum, students combine analytical theory with practical application. They work with statistical methods, programming languages, databases, visualization tools, business intelligence platforms, and Artificial Intelligence concepts while developing the ability to transform complex information into meaningful insights.

By graduation, students are prepared to collect, organize, analyze, visualize, interpret, and communicate data in ways that support informed decision-making across business, technology, research, finance, healthcare, government, and other data-driven industries.

Why Study Data Analytics at Touro Berlin?

If you want to understand data, communicate meaningful insights, build the foundation behind Artificial Intelligence, and help organizations make better decisions, the Master of Science in Data Analytics provides the knowledge and practical skills to achieve those goals.

Throughout the program, you will develop expertise in data analysis, programming, visualization, databases, business intelligence, communication, and Artificial Intelligence while preparing for careers in today's rapidly expanding data economy.

Master the data that powers Artificial Intelligence—and help shape the future rather than simply adapting to it. Students choose Touro University Berlin for both academic and personal reasons. Academically, the program offers an American Master's degree taught entirely in English through classroom-based instruction. Students benefit from a practical curriculum, small class sizes, close interaction with faculty, Expert Visa support, and a transparent study structure without a German gap year. The program combines Data Analytics with Artificial Intelligence concepts while offering an American university education in Berlin at a competitive tuition level.

Beyond academics, students become part of an international university community built on respect, diversity, and personal attention. Touro Berlin brings together students from many countries and cultural backgrounds in an environment where professors know their students personally and provide individual academic support.

The Touro Berlin experience is about more than earning a degree. It is about joining a global community where students are encouraged to belong, grow, and prepare for successful international careers.

Career Opportunities

Data analytics has become an essential discipline across virtually every industry. Organizations increasingly rely on professionals who can transform data into meaningful insights, support strategic decision-making, and build the reliable information systems that modern businesses and Artificial Intelligence depend upon.

Graduates of the Master of Science in Data Analytics are prepared for careers at the intersection of business, technology, and data-driven decision-making.

Possible career paths include:

Data Analyst
Data Scientist
Business Analyst
Business Intelligence Analyst
Financial Analyst
Risk Analyst
Marketing Analyst
Operations Analyst
Research Data Analyst
Data Consultant
Analytics Manager
Strategy Manager

The program is particularly relevant for students who want to work where business, technology, Artificial Intelligence, and analytical thinking come together to solve complex organizational challenges.

At Touro Berlin you will find yourself in a great position to secure rewarding employment at many desirable organizations. Whether you want to work in the vibrant international companies in Berlin or spread your knowledge overseas. This degree makes you a strong candidate for any potential employer. Your next step could lie in any of these roles:

Operation Management
Sales Management
Marketing-Management
Human Resources Management
General Manager
Management Analyst
Operation Management
Financial Management
Accounting and Controlling

You will be taught by a team of experienced academics from research, academic, and industry backgrounds. Their At Touro University Berlin your academic lecturers have made and are making contributions to the field, e.g., in the digital economy, on cryptocurrencies, on security and privacy of personal data, on cyberterrorism and cyber-crime, on mobile security. Find out more about our academic staff by visiting our Faculty Members.