Data Science in Business

The tuition fee for each semester of the “Data Science for Business” Master’s program at YSU is 450,000 AMD.

The duration of the program is 3 semesters (1.5 years).

The “Data Science for Business” Master’s program has been implemented since 2017 in cooperation with San José State University, the Enterprise Incubator Foundation (EIF), and the Center for Innovative Solutions and Technologies (ISTC), with the support of PMI Science.

The best students of the “Data Science for Business” Master’s program, who study one year at YSU and one year at San José State University (USA), have the opportunity to obtain a double degree.

Classes start in the evening at 18:30.

The program's goal is to train competitive specialists who meet the demands of the global labor market and are capable of successfully working in IT companies as data analysis specialists, analysts, machine learning and artificial intelligence specialists, and who can conduct interdisciplinary research using structured and unstructured data from various fields, based on which they can propose management solutions.

The “Data Science for Business” Master’s program is implemented in cooperation with San José State University, the Enterprise Incubator Foundation (EIF), and the Center for Innovative Solutions and Technologies (ISTC), with the support of PMI Science.

The best students of the “Data Science for Business” Master’s program, after studying one year at YSU and continuing for another year at San José State University (USA), have the opportunity to obtain a double degree.

This educational program was the first in Armenia to introduce an interdisciplinary curriculum that prepares competitive specialists meeting international education standards, integrating three key fields: mathematics, programming, and business analytics. At the same time, the program is focused on the practical application of this knowledge in business processes and does not provide purely theoretical instruction.

The “Data Science for Business” Master’s program is a vivid example of active collaboration between academic and innovative education. It is designed to train a new generation of data-driven and innovation-oriented professionals who can work as data scientists within emerging big data ecosystems, as well as in business analytics, customer behavior analysis, data design, construction, modeling, and management.

This educational program engages students in intensive learning, provides hands-on experience through collaboration with industry experts, and goes beyond supplementing academic knowledge by teaching how to effectively apply the practical skills acquired during the program.

Graduates of the program are competitive in today’s job market. With their up-to-date knowledge, they have become an integral part of the global data revolution by linking theoretical knowledge in data science with business needs. Using programming languages such as Python, R, Java, and SQL, they are able to make effective business decisions through the application of data science, machine learning, and artificial intelligence methods.

Graduates of the program are currently employed at leading IT companies such as Picsart, NVIDIA,SmartClickAI, WorldQuant, Krisp, Plat.ai, ServiceTitan, Webb Fontaine, PMI Science, Cognaize, Synopsys Armenia, DataMotus, SoloLearn, DataArt, as well as in the Government of the Republic of Armenia, ministries, other state agencies, and international organizations.

Students of the educational program are competitive specialists in today’s labor market. With their up-to-date knowledge, they have become an important part of the global data revolution by linking theoretical knowledge in data science with business needs. Using programming languages such as Python, R, Java, and SQL, they are able to make effective business decisions by applying data science, machine learning, and artificial intelligence methods.

Graduates of the “Data Science for Business” program are currently employed at leading IT companies such as Picsart, NVIDIA, SmartClickAI, WorldQuant, Krisp, Plat.ai, ServiceTitan, Webb Fontaine, PMI Science, Cognaize, Synopsys Armenia, DataMotus, SoloLearn, and DataArt, as well as in the Government of the Republic of Armenia, ministries, other state agencies, and international organizations.