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 on 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 with 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 industry-wise. 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 studies here are bit stressful, but always exciting, and definitely worth all the effort. Studying here 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 around the world. I fondly remember the time when I spent there: NLA, ML and DL courses and, of course, Innovation Workshop were absolutely highlights. If you are still thinking about whether 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 pursue an academic career.

When I first heard about Skoltech, I was skeptical: students from traditional Russian universities find it hard to believe that a university can offer a high scholarship and state-of-the-art facilities. After 2 years of studies at Skoltech, I can confidently say that my decision to apply to the Data Science program was right. Skoltech offers students everything they need to become top professionals in their fields under the mentorship of top=notch faculty from all over the world.

Pursuing a Master's degree at Skoltech boosted my knowledge in high-performance computing and opened the door to my future career. As I was finishing my first year of studies, I got an offer from a major German tech company for summer industrial immersion and even did my master's thesis research there, while still benefiting from Skoltech's continuous support and guidance. This not only helped expand my networking in academia but also land a full-time job with a tech unicorn. I am happy to have chosen Skoltech with its great courses on 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 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 Burnaev's course on machine learning, both with emphasis on practice. They helped a lot in writing the thesis and gaining a deeper understanding of the subject area. At Skoltech, I did research together with my supervisor, Dmitry Dylov. Our project was about detection and adjustment of the forearm vein mask in the near - IR range. We even published a conference paper about this study. I think it was this experience that encouraged me to pursue a PhD degree. Also, I fondly remember my summer industrial immersion at Nvidia, where I worked in the detection of the text blocks in screenshots of game images to create an automated testing bot. As an intern, I gained valuable knowledge about imaging and deep learning in real-world tasks, got the feel of the industry, and learned more about how a company works. This experience would be useful for my future career, whether in the industry or in academia.