Theoretical degrees are utterly useless in the practical world. However, they may be useful for teaching. Reason being they have zero element for practical reasoning. If one can't apply theory into practice then what is the point of such degrees. Math degrees teach concepts, they provide the formula and they provide the problem. In physics, they provide the problem and they provide the formula to solve for that problem. Such degrees amplify little in application. When such people enter the practical world, they need to be taught how to do literally everything. One wonders where they forgot to think along the way of attaining such a theoretical degree in being able to apply themselves. In real world, one has to find the problem then find a way to solve for that problem, and this is the case ninety nine percent of the time. The only way one can combine such excessive theory is to add an element of engineering to it. In biology, chemistry, and other such courses the degree is transformed into application for medicine, pharmacology and life science disciplines. Any degree that only provides an element of theory is pointless, as it is only good for academic purposes. In practical world one has to be taught how to apply such theory into practice to be productive and useful in society. Increasingly, universities are failing to combine theory with practice, because they aim to meet numbers for educational measures and indicators so as to achieve more academic funding. The biggest mistake employers can make in the IT world is recruit graduates with purely theoretical backgrounds to do practical AI work. Don't hire a math, physics, or statistics graduate to build a machine learning model they will require a lot of mentoring and training. Majority of practical and theoretical AI work requires a computer science background where such material is formally taught in the degree course.
