Website of the MIPT Data Science Scholarship Master’s Program Most of my classmates only dreamed about graduating from the university and being able to do something really cool. Instead of boring lectures and seminars real projects that really change the world around them. During my studies I did not have enough time to think about what would happen after graduation. Now, in the middle of summer, I finally have time to think about my future. I decided to approach the matter thoroughly, so I tried to structure all options (spoiler, there are two main), to evaluate the pros and cons, and based on this mini study to make a decision. I hope it will be useful and help someone to see the new opportunities.
Introductions and first conclusions
- i am a graduate of a technical university,
- i am good at math and know Python,
- considering relocation,
- want to make money.
I had two main hypotheses: work or continue my studies in some way with part-time jobs. I could have considered options three and four, either doing nothing for a year or volunteering in some remote part of the world. But if you check the “Dano”, it is clear that these options did not meet the conditions of my problem, so they were not considered.
Testing Hypothesis #1 – Work
From the beginning I was all set to look for a remote job, because this option seemed the most realistic to me. My knowledge of Python and interest in machine learning was on my side, so I armed myself with tea and started exploring job sites. Within a couple of days there were no offers left in my city (Kaliningrad), which I hadn’t come across two or even three times. I sent 28 responses to vacancies that seemed interesting to me. The main criterion was the following: if I thought when I read the text of the job opening, “Wow, this is a cool place! I would be interested here,” I sent my resume.
- I got 12 responses to my inquiries within a week.
- 5 of them thanked me for my interest and promised to keep me in mind.
- 7 invited me for an interview or offered test assignments.
I found this result to be quite positive. In the end, I had 3 job prospects on my hands.
Testing Hypothesis #2 – Study and Part-Time Employment
This hypothesis did not initially give me confidence. Let’s say I could find an interesting graduate school in my city of Kaliningrad. But I would still have to look for a job that could be combined with my studies. This means that I will have to work more than in option #1: study – work – sleep – study – etc. I don’t mind working, but I was afraid that I just wouldn’t be able to do well on both fronts. And I still thank myself for not stopping at hypothesis #1. It’s all good, but I didn’t even think I’d be able to find something that would completely fit my query. My search led me to the MIPT website. Where I came across a master’s program “Machine Learning Systems for Smart Manufacturing”. Let me say right away that I have already sent my request to participate in the selection for the grant. But I decided to share, because I know how important it is sometimes to find the right information. Anyway, MIPT is launching a program this year for the first time in partnership with NLMK Group. This is a large steel company that is now actively digitizing production: these are huge sites where hundreds of processes need to be thought through and digitized. That’s not just why I’m focusing on this. The first thing that interested me in this program was working under the guidance of NLMK’s IT specialists on the company’s projects. Not in a year or two, but from the first semester of my studies. The mere idea that I wouldn’t have to be satisfied with just theory during my master’s program impressed me greatly. The next “pro” argument is the grant. Master’s students don’t pay for this tuition at all. As I understand it, the point is that NLMK is willing to grow its own staff. So they take those who understand programming and math and provide them with an environment to grow. And after a couple of years of working closely with NLMK’s tasks, the undergraduates turn into Data Science and Artificial Intelligence engineers. By the way, you don’t have to worry about work either. Students get an income of 35 to 80 thousand rubles and official work experience from the first days of their studies. In an interview with Shamil Ulbashev, the curator of the program, I read that the income in the final years can grow up to 140 thousand rubles, it depends on the student himself. The more useful you are, the more you get. Look what my bottom line is:
- you don’t have to pay for the studies, but you learn under the most effective conditions: you work through the theory on real tasks,
- you have a mentor and a team,
- you get the income of 35-140 thousand rubles, which depends only on you.
Hopefully my little experiment will help someone realize that there are actually a lot more opportunities than there seem to be. In a couple of weeks of searching, I was able to get 3 potential job offers and find a graduate school in my tech major that I really wanted to study at. I was even willing to move to Moscow for such an opportunity! If anyone is interested, here is the website of the graduate school, maybe we can study together. Good luck to all graduates in determining their path! Author: Igor Makushev