Will a Master's on Data Science/Analytics be an overkill?
I have been considering doing a Master's on Data Science (online) either from Georgia Tech or UT Austin. But I wonder if it is the right move for me.
Not switching career – Currently in internal audit/risk. No plans to become a data scientist/analyst.
Reasons - To perform audit/risk analytics in a more efficient/effective way. Using Excel is mostly fine, but there are some limitations. Plus, I believe having Masters on DS will make me stand out when I apply for director-level roles down the road as data analytics started to become one of the sought-after skills in internal audit. In addition, it would nicely compliment my MBA.
No experience - zero experience in python or R
Some of the tasks related to my work. (They are done by Excel or brute-force manual work)
Finding matching names – extract the list of users from systems and find matching names when the naming conventions are different (over 5,000 ppl)
KPI, KRI – come up with KPIs, KRIs, extract data from systems, display in the interactive dashboard.
Benford analysis – do Benford analysis with transactions to identify fraudulent ones.
Credit card transaction – analyze credit card transactions to identify non-business ones.
Control testing – automate control testing by populating data from different systems.
Anyone currently doing a Master's in DS? Will it be an overkill for me or just taking MOOC courses will be more than sufficient?