EDUCATIONAL PATHWAY

Data Science

Pursue a higher education in Computer Science with a specialization in Data Science at IT STEP University.

Leave an application to receive a free consultation and learn more about the innovativeness of the educational program

Data Engineer

Data Analyst

Data Scientist

Machine Learning Scientist

ABOUT THE EDUCATIONAL PATHWAY

DATA SCIENCE – THE SCIENCE OF DATA

Data Science encompasses a range of methodologies aimed at extracting valuable insights from the diverse forms of data available today. Researchers and organizations collect vast amounts of information daily, including likes, clicks, bank transactions, tweets, geolocation data, and more. This data can be harnessed to provide better descriptions of the present and make more accurate predictions about the future. In particular, data can be utilized to depict the current state of an organization or process.

CAREER PROSPECTS

THE FOLLOWING POSITIONS AWAIT YOU IN IT COMPANIES:

Data Engineer

Data Analyst

Data Scientist

Machine Learning Scientist

STUDY PROGRAM

DISCIPLINES IN THE EDUCATIONAL PROGRAM

01 Higher Mathematics
02 Algorithms and Data Structures
03 Object-Oriented and Functional Programming in Python
04 Databases and Data Warehouses
05 Fundamentals of Artificial Intelligence
06 Cloud Technologies
07 Software Product Lifecycle Automation
08 Data Analytics
09 Fundamentals of Machine Learning
10 Introduction to Computer Vision
11 Introduction to Deep Learning

ADVANTAGES

OUR EDUCATIONAL PROGRAM OFFERS UNIQUE FEATURES AND PECULIARITIES, INCLUDING:

Diverse selection of additional disciplines

Numerous additional disciplines enable students to choose and study subjects they are interested in, allowing them to shape their own educational path.

Dual education opportunities

Dual education enables students to easily combine university studies with work in leading companies. Internship opportunities are available starting from the second year.

Industry practitioners as teachers

Our instructors are working professionals and employees of prominent IT companies. They possess up-to-date knowledge of market needs and teach students the skills required for tomorrow's work environment.

State-recognized diplomas

In addition to receiving a state-standard diploma in the field of Computer Science, you will also be awarded a diploma in the specialization of Data Science.

Internships at prestigious IT companies

We maintain ongoing partnerships with leading IT companies, offering students internships and employment opportunities.

Project work and portfolio development

From the very first year, students engage in real-world projects, allowing them to assume professional roles, gain practical experience, and build their portfolios.

Access to resources

Every student has free access to paid courses on platforms like DataCamp.com and DataQuest.io.

Do you want to know more about the program and study prospects, subjects and teachers? Sign up for a free consultation right now!

UPON COMPLETION OF THE PROGRAM, STUDENTS WILL BE ABLE TO:

Demonstrate proficiency in Python and R programming languages, algorithms and data structures, relational and non-relational databases, object-oriented and functional programming, quality assurance, and best programming practices.

Utilize tools and frameworks such as Jupyter, NumPy, Pandas, SciPy, Scikit-learn, Keras, Matplotlib, Seaborn, statistics, and others.

Understand statistical and data analysis concepts, including samples, variance, distributions, correlation, p-values, Student's t-test, data transformation, and more.

Apply the cross-industry standard data research process, machine learning methods, deep learning, computer vision techniques, natural language processing, neural networks, model hyperparameter tuning, objective function selection, and result evaluation metrics.

Employ computational intelligence and intelligent data analysis methods for tasks like classification, forecasting, cluster analysis, and discovering associative rules using Data Mining, Text Mining, and Web Mining technologies.

Visualize data, explore best practices published on platforms like arXiv.org, participate in Kaggle competitions, and leverage web services from companies like Amazon and Google.

Get a higher IT education according to the educational trajectory "Data Science" - take a step towards your successful future!

Sign up for a personal consultation?

Order a free consultation right now. We are in touch and ready to help and answer all your questions!

Leave a request and our manager will contact you to answer your questions