
My career changing computer science masters degree in 15 minutes (Upenn MCIT) | Tina Huang
Tina HuangSummary
The discussion centers on the challenges and experiences of pursuing a Master’s degree in Computer Information and Technology (MCIT) at the University of Pennsylvania. The program attracts a diverse cohort, including individuals from various professional backgrounds, such as medicine and finance, and ranges in age from 21 to 45. The first year is particularly intense, with students facing rigorous coursework that includes core classes in programming, systems, and algorithms, often leading to high levels of stress and self-doubt.
Students share their struggles with complex subjects, such as probability and graph theory, and the pressure of securing internships while still learning foundational concepts. Despite the overwhelming nature of the first semester, many find that the collaborative environment and support from peers help them navigate the difficulties. As the program progresses, students begin to appreciate the material more deeply, especially in courses that align closely with industry practices.
The second year offers more flexibility with elective courses, allowing students to explore areas like data science and machine learning. The transition to project-based learning enhances understanding and retention of concepts. Ultimately, graduates reflect on their growth, noting that the challenges faced during the program have equipped them with valuable skills and resilience for their careers in technology.
Show Notes
My career changing computer science masters degree in 15 minutes (Upenn MCIT)
I did a pharmacology undergraduate and then a masters in computer science. This is my whole career changing computer science masters degree in 15 minutes. The program is called masters in computer and information technology at the University of Pennsylvania (Upenn MCIT). I hope this video is useful for those of you looking to transition into computer science, data science, software engineering etc. From a non-technical background :) computer science degree in 15 minutes - let's go!______________________________________________________________________Timestamps00:00 Intro 01:00 semester 1 (core classes)04:36 internship 06:33 semester 2 (core classes)10:02 more internship stuff10:45 data science electives13:16 nlp & databases electives______________________________________________________________________Other videos you might be interested inInterview with director of MCIT (lots of info about the program, how to apply etc.) : https://www.youtube.com/watch?v=rd1HKwJT6GMHow to learn data science in 2021: https://www.youtube.com/watch?v=Axu4tJl8gbMThe resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9I______________________________________________________________________Discord: https://discord.gg/uaGFKueJvfSubscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________About me Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome!______________________________________________________________________Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] *If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)about: #computersciencedegreein #upennmcit #TinaHuang
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