MS in Data Science Right after Graduation

[Lubeckd]

---

Members don't see this ad.

I don't know hospital IT, and that's not what I pursue, I don't have clinical experience. But general speaking, IT and data science are not that different. Data science writes codes too. If you write codes, it's hard to tell my parents you are not IT. A side thought, data science used to be called database.

Quantitative analyst is completely different? Can software engineers do it or Financial Analyst? Its basically finance with coding. ML goes into it. Its two different fields. Like MD and Pharmacist. You know it but you are applying it to different topics. There is a lot of Math behind that turns software engineer off. cryptography would be completely different as well. You code but there is a lot of math behind both Data Science and financial engineering. The focus itself is completely different like Physics and Math. thats why I said its similiar, its like expecting a MD to teach a Pharmacy course when the application are different. Or MD teaching Nursing. Yeah its help, its similar, but its completely different. Im dealing with a lot of dataframe, numpy than Software Engineers.
I also did Financial engineering and its very different from data science as Financial engineering goes with more time series. Its also like saying Quant analyst and Financial Analyst are the same but they are gear toward different things. or the Actuary in Quant Analyst

You remind me of this graph

Purity

xkcd.com

I say this because Im taking the difference between them and can identify them. I asked a few people from data scientist if they can do software engineer and if software engineers can do data science and they said its completely different. Like Nursing and MD

 

[Lubeckd]

CFA vs MBA | 9 Essential Differences You Must Know!

Data Science vs Software Engineering

This is a guide to Data Science vs Software Engineering. Here we discuss head-to-head comparison, key differences, and comparison table.

www.educba.com

I think this will give a better example. It uses math, but applications are all different.

Meaning yes your MBA grad can't teach you financ. I know people who gone through both. I am also taking my MBA right now so I know it's very different than cfa

I would also say industry changes in finance and tech every two years. I'm beginning to think it's the same with pharmacy. By the time you are done it's completely different

 

[firework]

Hey, who said data science = software engineering ? I said, both data science and software engineering are computer sciences, at least when data science was just database.

 

[DIPEA]

I am thinking of teaching myself data science too. My husband works in IT, which is helpful. But the problem with this career route is, there doesn't exist an established job market that both data science skills and pharmacy knowledge are sought after. So it's like you have to give up pharmacy. Of course you can sell yourself as an IT guy with pharmacist license, but that's not gonna be reflected on you paycheck.

Well, what has the field of pharmacy given me so far, other than some debt (even tho not a lot), bulls**t working environment and dismal job prospects in retail? Why is pharmacy this incredibly good that all pharmacists have to always stick with it, practice it and use it day in day out? It's just a job after all, and the whole purpose of a job is to make $$$ and maybe be happy with it in the process. If there is a job requiring both, I might take it, but it must really pay up. If not, I would be more than happy to just use my ds skills for my main job, and do relief pharmacist shifts to milk out as much $$$ as I possibly could from this profession.

I don't owe anything to the profession of pharmacists, period. In fact, my school owes a hell lot more to me, for taking my tuition and didn't really teach me any relevant hard skills today's job market truly needs.

 

[DIPEA]

Hey, who said data science = software engineering ? I said, both data science and software engineering are computer sciences, at least when data science was just database.

Data science now revolves around machine learning models, which draws heavily from calculus, differential equations, linear algebra, and a bunch of advanced topics in stats. Writing quality code is just the foundation, there is A LOT more than coding in DS. They are not really CS. In fact, a lot of data scientists nowdays come from a background in statistics and physics.

 

[Lubeckd]

Just wanted to say congrats to you for diversifying your way out of pharmacy. Teaching yourself to code to a decent level while passing pharmacy school is no joke. I'm a 2018 grad currently researching options out. I agree with you, it's a dying field.

let me know what you research out 🙂

 

[Lubeckd]

Data science now revolves around machine learning models, which draws heavily from calculus, differential equations, linear algebra, and a bunch of advanced topics in stats. Writing quality code is just the foundation, there is A LOT more than coding in DS. They are not really CS. In fact, a lot of data scientists nowdays come from a background in statistics and physics.

Its oversimplified. People in the industry knows there is a difference.

 

[Lubeckd]

Data science - Wikipedia

Interdisciplinarity - Wikipedia

en.wikipedia.org

there you go
Interdisciplinarity or interdisciplinary studies involves the combining of two or more academic disciplines into one activity (e.g., a research project).[1] It draws knowledge from several other fields like sociology, anthropology, psychology, economics etc. It is about creating something by thinking across boundaries. It is related to an interdiscipline or an interdisciplinary field, which is an organizational unit that crosses traditional boundaries between academic disciplines or schools of thought, as new needs and professions emerge.

Financial engineering - Wikipedia

en.wikipedia.org

Despite its name, financial engineering does not belong to any of the fields in traditional professional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well.[7] In the United States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees.[8] In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.[9]

 

[Lubeckd]

Data science now revolves around machine learning models, which draws heavily from calculus, differential equations, linear algebra, and a bunch of advanced topics in stats. Writing quality code is just the foundation, there is A LOT more than coding in DS. They are not really CS. In fact, a lot of data scientists nowdays come from a background in statistics and physics.

I actually know a guy with a phd in math and does data science. Then he did finance and is now a Chief Risk officer. C suites in a firm

 

[DIPEA]

I actually know a guy with a phd in math and does data science. Then he did finance and is now a Chief Risk officer. C suites in a firm

Got an email for UPenn MCIT's application reminder. Some of their grads actually did go into blockchain after finishing. Maybe I should give that a try as well later this year. I still have good memories of java and c++.

 

[Lubeckd]

Got an email for UPenn MCIT's application reminder. Some of their grads actually did go into blockchain after finishing. Maybe I should give that a try as well later this year. I still have good memories of java and c++.

ahahahah I just spoke to some blockchain consultants today. They said I should just trade bitcoin not really go into the tech for application. I find blockchains can be used in healthcare. I may get into it. Thats good, you are on full stack? I was actually talking to other people about scrum masters today who lead projects in software engineering

 

[DIPEA]

ahahahah I just spoke to some blockchain consultants today. They said I should just trade bitcoin not really go into the tech for application. I find blockchains can be used in healthcare. I may get into it. Thats good, you are on full stack? I was actually talking to other people about scrum masters today who lead projects in software engineering

No, I am not currently on full stack right now.
At the moment, I am just trying to ace all georgia tech micromaster courses to give me a leg up for master of analytics application at GT by the end of Feb 2020. I will finish all three of them by late December this year.
I will also apply to UCSD master of data science, UMichigan master of applied data science, UPenn online MCIT, and Georgia tech for sure.
GT will be my #1 pick without a doubt.
Maybe for some infinitesimal chances I just don't get in any of them above. I will use CU Boulder master of data science as my last resort backup plan. Nothing required, just need to pass some entrance exams on python.
On the side, I still have algorithm and data structures to brush up, and for my upcoming APPE study block, I might just take the SAS certification exams as well.

 

[Lubeckd]

No, I am not currently on full stack right now.
At the moment, I am just trying to ace all georgia tech micromaster courses to give me a leg up for master of analytics application at GT by the end of Feb 2020. I will finish all three of them by late December this year.
I will also apply to UCSD master of data science, UMichigan master of applied data science, UPenn online MCIT, and Georgia tech for sure.
GT will be my #1 pick without a doubt.
Maybe for some infinitesimal chances I just don't get in any of them above. I will use CU Boulder master of data science as my last resort backup plan. Nothing required, just need to pass some entrance exams on python.
On the side, I still have algorithm and data structures to brush up, and for my upcoming APPE study block, I might just take the SAS certification exams as well.

Thats nice, I heard you have to pay for SAS am I wrong? I would work on R. Ill show you my github when I finish some projects. How is your miserable retail pharmacist? lol

 

[DIPEA]

Thats nice, I heard you have to pay for SAS am I wrong? I would work on R. Ill show you my github when I finish some projects. How is your miserable retail pharmacist? lol

haha, she passed me! So now I am in first week of block 3 at an independent. The owner is very nice, and super open-minded. We had some chat, and she mentioned her son is actually a cs grad hoping to get into law school, tried and failed for 2 years, sat down with a law school dean, and told to take some online cs/data science courses to show his improvement in terms of gpa (he has a low gpa, but for cs major, i think it is very common). So she even asked me for opinions for what programs I would recommend to her son etc.

 

[Lubeckd]

haha, she passed me! So now I am in first week of block 3 at an independent. The owner is very nice, and super open-minded. We had some chat, and she mentioned her son is actually a cs grad hoping to get into law school, tried and failed for 2 years, sat down with a law school dean, and told to take some online cs/data science courses to show his improvement in terms of gpa (he has a low gpa, but for cs major, i think it is very common). So she even asked me for opinions for what programs I would recommend to her son etc.

wow law is saturated too. Wonder why he doesnt want to stay in CS. I convince my software engineering friend not to go for MD for the prestige

 

[DIPEA]

wow law is saturated too. Wonder why he doesnt want to stay in CS. I convince my software engineering friend not to go for MD for the prestige

cuz her son is very well-spoken and knows 5 languages. But an interesting point she brought up is, the law school dean actually said that a cs background is very nice to have, even for lawyers. I guess the dean certainly knows how fast natural language processing and machine learning have done to killing document review jobs for entry level lawyers.

 

[Lubeckd]

cuz her son is very well-spoken and knows 5 languages. But an interesting point she brought up is, the law school dean actually said that a cs background is very nice to have, even for lawyers. I guess the dean certainly knows how fast natural language processing and machine learning have done to killing document review jobs for entry level lawyers.

wow, I actually speak a bit of german. Learning spanish and french right now. Want to add russian to the mix. I speak Chinese but have to relearn the writing. Its a side thing for me to put into language. I want to end up in germany or swiss. Dont wanna deal with USA anymore. Swiss pharmacist get pay well. So do their Financial analyst and Data Scientist. Maybe Ill pick up swiss german.

 

[DIPEA]

wow law is saturated too. Wonder why he doesnt want to stay in CS. I convince my software engineering friend not to go for MD for the prestige

law is definitely hyper saturated. but i think her son only wants to shoot for the very top ones, like T3, T5 or whatever.

 

[Lubeckd]

Im thinking about finishing data science and putting all the hours I study data science into languages

 

[Lubeckd]

Would you imagine opening a tech company? A friend of mines did that, lots of startups scenes. Better than owning a pharmacy eh?

 

[DIPEA]

Would you imagine opening a tech company? A friend of mines did that, lots of startups scenes. Better than owning a pharmacy eh?

haha probably not, but i might consider joining a promising startup.

 

[firework]

Isn't data science one of those that can be easily sourced out to India, China?

 

[Lubeckd]

Isn't data science one of those that can be easily sourced out to India, China?

For me I will be working in finance. As for Finance they have a team in New York, and a team in London already. So It probably wont make a big difference. For me, I also have plan B,C,D,E,F and g. My friend has a Ukraine team in software engineering. They will just have different functions. Main job still has to be done here. And it's also growing

Its also a job that not many people can do unfortunately. Even in India.

 

[DIPEA]

Isn't data science one of those that can be easily sourced out to India, China?

Software engineering once did that in early 2000s, and it backfired miserably for companies that have attempted such move. The talent and skill level of programmers from software engineering consulting firms in China and India are just not on the same level compared to cs grads here, so a lot of codes were hard to maintain and had to be rewritten, and it just didn't worth the hassle and cost. So jobs came back by 2010s, and IT started to flourish again.

Data scientists play with the company's critical info, like customer personal data, etc. It would be stupid for any company to outsource. It like revealing the core trade secret of the company for peanuts in cost reduction from payouts. So nope, even if pharmacist jobs are outsourced overseas one day, DS jobs will still stay here.

 

[Lubeckd]

Software engineering once did that in early 2000s, and it backfired miserably for companies that have attempted such move. The talent and skill level of programmers from software engineering consulting firms in China and India are just not on the same level compared to cs grads here, so a lot of codes were hard to maintain and had to be rewritten, and it just didn't worth the hassle and cost. So jobs came back by 2010s, and IT started to flourish again.

Data scientists play with the company's critical info, like customer personal data, etc. It would be stupid for any company to outsource. It like revealing the core trade secret of the company for peanuts in cost reduction from payouts. So nope, even if pharmacist jobs are outsourced overseas one day, DS jobs will still stay here.

actually the New York teach the India team here

 

[DIPEA]

actually the New York teach the India team here

Teaching is okay. But I highly doubt Apple or Amazon dare to outsource their consumer data to teams in China or India, so that Huawei or Alibaba can take a peek into the data and develop strategies to counter and undermine their core business.

 

[Lubeckd]

Teaching is okay. But I highly doubt Apple or Amazon dare to outsource their consumer data to teams in China or India, so that Huawei or Alibaba can take a peek into the data and develop strategies to counter and undermine their core business.

so yeah the training is taught by the new York team. Im not really worried especially since the jobs are all transitioning to tech. Everyone has their own functions to do

 

[Lubeckd]

Teaching is okay. But I highly doubt Apple or Amazon dare to outsource their consumer data to teams in China or India, so that Huawei or Alibaba can take a peek into the data and develop strategies to counter and undermine their core business.

Imma go work remotely hopefully. One week in Chicago, new york, california. Florida lol

 

[DIPEA]

Imma go work remotely hopefully. One week in Chicago, new york, california. Florida lol

I am in my last week of the intro to analytics modeling course. It has been hell of a ride for the past 15 weeks. taking the final this weekend. After this rotation, I have a study block, so I will be starting the last 2 courses, computing for data analysis and data analysis for business simultaneously. definitely getting the micromaster by the end of this year.

 

[Lubeckd]

I am in my last week of the intro to analytics modeling course. It has been hell of a ride for the past 15 weeks. taking the final this weekend. After this rotation, I have a study block, so I will be starting the last 2 courses, computing for data analysis and data analysis for business simultaneously. definitely getting the micromaster by the end of this year.

keep it up man. My friend is making more than a pharmacist right now, he is climbing the ladder in tech. One makes more than a EM Doctor. Its over, healthcare is going down, tech is ruling the world. In finance the bankers are banking, I can't say what they make, but a lot of these professions make healthcare and Doctors look like nothing. Healthcare is the only good for being recession proof. But as you can see that's not the case

 

[DIPEA]

keep it up man. My friend is making more than a pharmacist right now, he is climbing the ladder in tech. One makes more than a EM Doctor. Its over, healthcare is going down, tech is ruling the world. In finance the bankers are banking, I can't say what they make, but a lot of these professions make healthcare and Doctors look like nothing. Healthcare is the only good for being recession proof. But as you can see that's not the case

Healthcare won't be recession proof anymore. Tech is flourishing because it is so pervasive and eroding other fields. I hope it is not too late to switch.

 

[Lubeckd]

Healthcare won't be recession proof anymore. Tech is flourishing because it is so pervasive and eroding other fields. I hope it is not too late to switch.

don't forget to network. It seems like most of these bootcamps are a waste of time. Its best to self teach. Thank god Im self teaching lol.

 

[DIPEA]

don't forget to network. It seems like most of these bootcamps are a waste of time. Its best to self teach. Thank god Im self teaching lol.

yeah true. even for degree programs, we are self-learning most the time. the curriculum only brings the structure to hit all the essentials. it is still up to the individual to dig deep on stack overflow to learn most technical details

 

[Lubeckd]

yeah true. even for degree programs, we are self-learning most the time. the curriculum only brings the structure to hit all the essentials. it is still up to the individual to dig deep on stack overflow to learn most technical details

I finished the data analyst and data science track. Im also doing the full stack track right now
considering to do some cyber security (just a bit) and then Im transitioning

 

[Emmet2301]

I finished the data analyst and data science track. Im also doing the full stack track right now
considering to do some cyber security (just a bit) and then Im transitioning

Just to add to this thread, the fact that you're learning on these tracks is great. However, later I think you will have to choose one area to specialize in and run with.

 

[Lubeckd]

Just to add to this thread, the fact that you're learning on these tracks is great. However, later I think you will have to choose one area to specialize in and run with.

Its Quant Analyst with Machine learning on the side and Fullstacks for fun
Cyber security just for the knowledge

 

[DIPEA]

Its Quant Analyst with Machine learning on the side and Fullstacks for fun
Cyber security just for the knowledge

Officially finished Georgia Tech ISYE 6501 yesterday~ Got 90% on the final and 88% overall. High enough to guarantee waiving this course when I am admitted to the program. One more step closer to Georgia Tech😉

I will be starting the next two courses starting August 19th. Clearing up the first 3 introductory core courses before applying. After that, only 2 more advanced core, 5 more electives, and one practicum/internship final project course left. I am aiming to finish all and graduate by the end of 2021.