When you choose the trajectory, it’s often easy to make a mistake, while you don’t have the full understanding. That’s why in the educational program «Data mining» the decision of your specialization is postponed: during the first two years of studying all the students study the single mandatory core, which includes programming, mathematics, algorithms, data analysis.
Then, beginning from the third year, every student can choose one of the three educational programs – depending on their interests and professional orientation.
For those who want to create algorithms, work with neural networks, and build the technologies of the future, the trajectory «Artificial intelligence in data analysis» is available.
💎 What makes this trajectory unique?
🔍 The combination of foundation and practice on real-life projects
At this trajectory, you don’t only learn how neural networks work – you understand them from the inside. Basic disciplines give a solid foundation of algorithmic thinking, mathematical data analysis, and the elective ones immerse you in the real AI tasks: speech and image recognition, forecasting, and working with big data.
But the most important thing is that you instantly apply your knowledge in individual projects. This is not just “theoretical” training. It’s the direct way to your first portfolio, with which you can go to the internship or an interview at the IT company.
🧠 What will you study in the trajectory of AI?
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- Algorithmic languages (Python, C#) – which are used by Data Scientists around the world
- Deep learning methods, which are the basis of modern AI, including neural networks
- Mathematical methods of computer vision – image and video recognition etc.
- Natural language processing (NLP) – chatbots, language models
- Predictive analytics – how to build models that predict the future
- Big Data infrastructure – how to store and process large amounts of data
- Project-based learning – you will create your own project that you can show to employers!
These subjects make a good match with C++, algorithms, parallel computations, machine learning – this is your toolkit for a true AI developer.
💡At this educational program, you will be able to:
- Create algorithms for machines that recognize faces or voice
- Teach machines to predict trends, assess the risks or popularity of ideas.
- Write algorithms for games that adjust to the player in real time.
- Recognize emotions in a photo, analyze videos, or even generate images.
- Make chatbots, virtual assistants, voice translators.
- Work with data from the satellites, drones or medical scanners.
🔍 This is the trajectory for those who not only wants to use technologies, but also to create them. For those, who, in addition to working in the IT sector, wants to influence the world through algorithms, data, and AI.
After finishing this trajectory, you can go on as:
- Machine learning engineer who creates models;
- AI engineer who designs neural networks for computer vision, natural language processing or robotics;
- Data scientist, who analyzes big data, makes forecasts and tests hypotheses;
- Computer vision engineer who works with videos and images;
- NLP engineer who creates chatbots, language models, and voice systems;
🔥 Our graduates already work at such big companies as Google, Meta, Amazon, Toshiba, Samsung Electronics, Cloud Works, NIX, Near, EPAM and others.
📌 Choose the trajectory «AI in data analysis» and submit your documents – and start learning how to build the future today!
📲 Details here
💬 Contact us – we are here to answer all your questions!