Data-Driven Decision Making

Why is it important?

In the modern world, where information is the key to success, the ability to make data-driven decisions becomes a necessary skill for professionals in various fields. Our master's program in Data-driven Decision Making will help you develop this skill and become a sought-after professional.

What is data-driven decision making?

It is the process of using systematically collected and analyzed data to make informed key decisions in business, education, government, and other areas. Organizations across sectors increasingly require employees with expertise in data-driven decision-making.

Why can we help?

Our program is designed to train specialists who can make informed decisions based on data analysis. We offer a wide range of topics related to data science, machine learning, business analytics, information security, project and process management, and econometrics.

Program Objectives

Topics Covered

Data Analysis and Machine Learning

Introduction to data analysis, statistical methods, machine learning algorithms, and their applications

Big Data Technologies

Hadoop, Spark, NoSQL databases, cloud computing, and other technologies used for processing and storing big data

Business Analytics

Business intelligence, data mining, predictive analytics, and decision support systems

Ethics and Privacy

Ethical issues in data collection, storage, and use, as well as privacy laws and international regulations

Project and Process Management

Project planning, execution, and management, including Agile methodologies. BPM in context of data mining and decision making

Communication Skills

Presentation skills, writing reports, and communicating results to non-technical audiences

Information Security

Threats, vulnerabilities, risk assessment, access control, cryptography, firewalls, intrusion detection and its prevention

Econometrics

Statistical methods of analyzing economic data, modeling, and forecasting economic processes

Capstone Project

A final project that allows students to apply their skills to solve a practical issue

Why does it work?

Most of the master's program will be implemented in a distance (hybrid) format. The main method is project-based learning. This will allow students to gain practical skills in working with data and learn how to apply the acquired knowledge in real projects.

Experienced professionals in analytics, cybersecurity, and other related spheres will serve as instructors, sharing their expertise and experience with students.

Participants in the program will enhance their skills working with real-data projects in a variety of industries, such as finance, healthcare, retail, manufacturing, and government. They will have the skills needed to analyze data, identify patterns, make informed decisions that drive business success, and ensure the security of information systems.