Applied Machine Learning in Business Management
Peter the Great St. Petersburg Polytechnic University · St. Petersburg, Russia
Peter the Great St. Petersburg Polytechnic University
St. Petersburg, Russia · Accredited programme
Applied Machine Learning in Business Management (Master's Degree) is taught at Peter the Great St. Petersburg Polytechnic University, St. Petersburg. Taught in Russian. Tuition is RUB 424,000.
Explore the transformative power of machine learning in business. This program equips you with the skills to analyze complex data, develop predictive models, and drive strategic decision-making. Gain practical expertise to optimize operations and unlock new opportunities in the modern business landscape.
Who can apply to this programme.
- Official entrance subjects: Interdisciplinary (qualification) examination, Russian language. Confirm the exact assessment format and accepted international qualifications for the selected intake.
Most programmes in the official Russian catalogue are taught in Russian; confirm the required Russian-language preparation with the institution.
A typical checklist for this degree level. Your advisor gives you the final list.
The central catalogue records this programme as accredited.
Review the verified facts and the requirements for this degree level.
SIT Connect reviews your education and language background.
Gather the documents in the list above.
Send your details now. SIT Connect tells you when the next intake opens, before you formally apply.
Frequently asked questions
How long is Applied Machine Learning in Business Management?
The duration is not published yet. An advisor can tell you.
Which languages is Applied Machine Learning in Business Management taught in?
Most programmes in the official Russian catalogue are taught in Russian; confirm the required Russian-language preparation with the institution.
What is the tuition fee?
The tuition recorded in SIT Connect is RUB 424,000. Converted amounts on this page are estimates.
Can I apply now?
There is no active intake for this programme.
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