Was speaking to someone regarding the development of transferrable, applicable, and/ or any other learning and development related commutative technical skills during the period of study at any polytechnic or a university.
Of course, the conclusion we drew might help pedagogy.
What kind of skills we develop bifurcates into two directions.
Direction 1- #STEM Based Skill Programs
Direction 2- #Liberal #Arts, #Humanities and other #Social #Sciences based Skill Programs
Over time the divergence particularly in the fields of social sciences and natural sciences has been reduced due to advancements, interfaces, and cross-fertilization of concepts, theories and models, being exchanged.
Hence, Skills are being shared and improved upon both ways!
But, we need to distinguish between Hard Skills and Soft Skills, to begin with!!
Hard Skills are usually introduced, taught nurtured, acquired and reinforced using mostly scientific methods.
For this, STEM Education Programs are used to do what is necessary.
On the contrary, Soft Skills are different compared to Hard Skills in definitional terms.
I won't explain the difference between the two, as you can use Google to find out what is what!
But, generally, a Liberal Arts/ Humanities/ Soc Sciences education is the right path for it
Now, which skills are better priced by the market is another interesting metric that should be studied by both economists and educationalists.
Skill Pricing is not just based on demand and supply, but, as they, the beauty lies in the eyes of the beholder.
The one who hires you!
Mostly, candidates with degrees in Non-STEM Subjects remain in the unemployment pipelines, because either they don't acquire the right amounts of transferable and applicable skills, or they don't aptly learn how to use their theoretical knowledge and information in the workplace.
Lets, for the sake of comparison, put two degrees head-to-head.
One an MA/MSc in Philosophy against an MSc in Computer Science Postgraduate Level Degree.
Usually, you will find that Philosophy students find it hard to find jobs against Computing Science Students.
Reasons?
What skills does or does not a Philosophy postgraduate acquire?
What makes a Philosopher substandard and backward to a STEM subject student?
Why Philosophers cannot generate demand for themselves in the Labour Market?
The answers to the aforementioned questions are complex.
#Philosophers do study Mathematics, Logic, Ethics, and a host of other fields which makes their education technically at par if not superior and equally computational, to what other STEM-based educations have to offer!
Where the negatives lie?
The answer is that if you do a qualification, no matter how sophisticated the learning based on a CBOK(Common Body of Knowledge) you derive out of it, is useless, as a skill, if the latter cannot be priced!
An Employer must be able to price your skills.
If your skills cannot be priced or are mispriced, then you will remain in poverty, and caught up in the #unemployment labyrinth, in perpetuity.
For you to find work based on your education or technical qualifications, it is necessary that the skills acquired can be valued.
Hence, always acquire skills, that can be monetized.
Do not acquire skills that cannot be economically evaluated by the recruiters &/or the employers.
It's not about having Hard Skills or Soft Skills!
It's not about having STEM-based Scientific Skills, Vocational Skills, or Scholarly Skills based on Liberal Arts/ Humanities or other practitioner attributes.
The skill you should acquire should be value-adding for an employer
But, you have to also choose whether you would like to turn into an
1. Textbook Academician or
2. An Applied Technical Practioner or
3. Scholar-Practioner (Hybrid model)
In a given subject area.
If you aim to turn into a scholar or academician, your skill sets might be diametrically opposed to those who directly prepare themselves to apply hands-on knowledge or wisdom learned and/ or acquired in a practical setting.
So choose what is the best path for you!
Not everyone is gifted with the same abilities and bounded by the same constraints.
What works for you might not work for the others.
The same holds true for #skills acquired over time.

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More from @SAH16928046

15 Jun
Is doing a PhD in finance better than doing a PhD in economics and concentrating in finance?
Both have their own merits and demerits!
Doing a PhD is a matter of great honour and will turn you into a scholar-practitioner in your area of work. So if the financial markets are down, you can always move out of the banks/ hedge funds and get into the world of academics and continue to make a living.
Read 14 tweets
15 Jun
How is the London Business School MBA degree valued in the United States?
@LBS
Let me answer this question based on what I have heard from my friends and acquaintances.

British Universities don't go far in creating an impression in Business and Management Science subjects in the USA in particular! that is a fact.
There is this general impression in the USA and abroad that the best business schools are American Business Schools.

Why? Historical Perspective….
Read 23 tweets
15 Jun
What's the point of doing a one-year industrial placement program, in addition to studying for a one year MSc Degree, if you won't get paid by the employer?
Be careful before you entertain con universities, which will charge you more, and trap you!
I see many universities lure international students, from the poorer parts of the world, by offering them greasy deals.
These countries, where students are allowed to work after graduation, do not guarantee paid decent jobs, or any jobs at all.
It is your luck that matters.
#CON
Better to invest in your home country, if you have the money in your a/c, and turn into an #entrepreneur, if you have the skills, the ideas, zest, zeal and the risk appetite to do well in life.
Why give your money to a con institution which offers a run-of-the-mill type degree?
Read 10 tweets
14 Jun
Somebody on this forum needs to do a thread on quotes, spreads, risk-neutral probabilities, real-world probabilities, order books, market execution, limit ordering strategies, order cueing, and bid-ask spreads, etc.
Market #Microstructures are key to analyzing liquidity risks.
The first thing we need to include within our risk pedagogy masterclass is how liquidity risks vary across financial markets, order books, volatility term structures, asset classes, premarket, auctions, intra-day, and private placement transactions.
Most of the students in a standard risk management program are asked to do statistics, mathematical modelling, and computer programming straight away!
All good.
But, it's important to learn the process, and product features, that leads to financial product development.
Read 4 tweets
13 Jun
What's wrong with Biostatistics is analogously related to the question that was put by the Queen to the Economists at the LSE after the GFC.
The Queen wondered why didn't the economists see it coming?
of course, health pandemics are different, but, the statistical models are not
Scholars working in the biomedical sciences, epidemiology, and #biostatistics spheres, rely on mathematical and applied statistical computing based on modelling assumptions that rely on historical data set observations.
The past cannot and will predict the future with certitude.
Even with Quantum Computing, Data Sciences, Machine Learning, Artificial Intelligence, or any other form of computer-aided Predictive Analytics, scholars across the domains of natural and social sciences will never be able to capture the emergence of rare #Black #Swan #Risks!
Read 13 tweets
12 Jun
Risk Management is like a Greek Tragedy, where actors laugh to express their sorrow. Hence, here what mimics laughter is the Normal (Gaussian) PDF and its assumptions.
I believe the strongest voice that emerged in the Post - Crisis years was that of Dr Nassim Taleb, who heavily criticized risk management models and techniques that assume the Normality of returns, and its volatility in financial markets.
The Credit derivatives aka structured products that were financially engineered by Wall Street and the City Quants to provide a market-beating returns used such techniques to pool assets having negative correlations and a low joint probability of default or time to default
Read 13 tweets

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