I cannot help but smile as I remember my crazily productive period during Skoltech's Master's program in Data Science. Adapting to a drastic change of atmosphere (moving from Peru and a different academic background) was certainly a tough challenge. However, the impact this program had in my career, the amazing friendships acquired and the exposure to numerous opportunities, made it worth it. Overall, the whole coursework of the Data Science program provided me confidence and a wide range of skills to tackle Machine Learning projects both from an industrial and research perspective. Undoubtedly, one of the best choices of my life.

The Master's program in Data Science at Skoltech allows students to gain all the necessary knowledge both academically and in industry. Students have a unique opportunity to work with famous professors, access high-performance computing resources, and as far as I know, there are cool laboratories at Skoltech. The study is quite stressful, but always interesting, and definitely worth all the effort. It was easier for me because I already had a similar background. The decision to study at Skoltech was definitely the right one. After all, it is also an opportunity to meet many interesting people from all over the world. I remember with warmth the time when I studied there. NLA, ML and DL courses and, of course, innovation workshop. If you are thinking about whether to try to enroll here - the answer is definitely yes. At least, you should try. After completing your Master's degree here, you will be able to continue in the industry or build an academic career.

When I first heard about Skoltech, I was skeptical: students who studied at traditional Russian universities may not believe in the possibility of a high scholarship and innovative facilities and labs. After 2 years of studying here, I can confidently say that my decision to apply to the Data Science Master's program was right. Skoltech has everything to turn students into professionals of their fields, and the faculty is comprised of the leading instructors from all over the world.

Pursuing a master's degree at Skoltech boosted my knowledge in the area of High-Performance Computing and opened new doors for my future career. Already, at the end of the first year of my studies, I got an internship offer from a giant German tech company for summer industrial immersion. While having continuous support and guidance from the Skoltech side, I did my master's thesis work at the same company as well. All these experiences not only expanded my academic surrounding but also let me land a full-time position at a Tech Unicorn. Right now, I'm feeling happy for coming to Skoltech and especially, for taking great courses related to Scientific and High-Performance Computing.

As a graduate student in the Data Science program at Skoltech, I would like to mention some pros and cons of studying Data Science here. Firstly, there are so many well-known and highly professional professors in this department. Secondly, industrial partners are coupled with Skoltech very well for research on cutting-edge technologies and, they are always looking for collaboration or cooperation with them. Finally, with such an incredible high-tech equipped campus and multinational friendly environment, you feel comfortable. As you can see, there are so many opportunities in studying Data Science at Skoltech, and I am very grateful for such an opportunity I had in my life. I almost forgot to talk about the disadvantages of studying Data Science at Skoltech. I could not find any.

I remember several things from Skoltech Master's program. Speaking about specific courses, I liked Ivan Oseledets' course on linear algebra and Evgeny Burnaev's course on machine learning. They had a huge emphasis on practice, so taking these courses helped a lot for the successful writing of a thesis and a deeper understanding of the subject area. At Skoltech, I also remember working with my scientific advisor Dmitry Dylov. We developed a project on the detection and adjustment of the forearm vein mask in the near-infrared light domain. As a result, we even published a conference paper about this study. I think this experience pushed me to further my PhD.
Also, I have pleasant impressions from the summer industrial practice. I interned at Nvidia and worked on the detection of text blocks in screenshots of game images to create an automated testing bot. I gained valuable knowledge about imaging and deep learning in real-world tasks, as well as simply experienced the industry and understanding the internal processes of companies. This experience can be useful both in future work in the industry and in academic activities.