A few days ago I was in the social event with my colleagues and after that night while going home we were talking with my colleague who Bachelor’s Degree in statistics about how statistics is important, it is a root of artificial intelligence and it plays a crucial role to understand of the main idea of today’s hot topics.. etc. I studied at university between 2012 and 2017 years and statistics was not popular at those times. In recent years, it has came among one of the best choices among students to choose as their career. Honestly, I am proud of it.
As you know, statistics is a branch of math and it includes many fields such as marketing, economics, health, biology… etc. It means that you can adapt statistics in every field. I would like to explain my thoughts about a career in statistics.
If I talk about Turkey, the career in statistics is becoming important if I compare it to a few years ago. Many companies are looking for candidates who educated in statistics fields. So, why does it change? Because, now we are talking about artificial intelligence, deep and machine learning and in order to understand the behind the scene, first need to know what is statistics and math and how it involves with the AI world. I saw a sentence on Linkedin and it was mentioning that “if machine learning is the language behind AI, statistics is the grammar of that language”. It is so true! Let’s look for a few top universities which offer to study maths and statistics:
- Stanford University – 2nd World University Ranking 2021
- California Institute of Technology – 4th World University Ranking 2021
- MIT – 5th World University Ranking 2021
- Princeton University – 9th World University Ranking 2021
- University of Chicago – 10th World University Ranking 2021
What can you do with a Statistics Degree?
The statisticians are highly demanded in today’s job market because their analytic skills are the necessary points. Actually, the main employer of statisticians is the government, but there are many jobs related to statistics degree. You find them below:
- Actuarial analyst
- Civil Service fast streamer
- Data analyst
- Data scientist
- Financial risk analyst
- Investment analyst
- Market researcher
- Operational researcher
- Business analyst
- Chartered accountant
- Financial manager
- Financial trader
- Insurance underwriter
- Machine learning engineer
- Research scientist
Many statistician jobs require a Masters or postgraduate degree and/or statistical software packages such as SAS, SPSS, Stata, and Minitab. If you can add more programming skills such as R and Python, it would be great to expand your job areas.
For example, I did a postgraduate degree in Big Data Analysis, because the age of big data gallops forward and combining them is essential. In this case, I think it was the right decision because I have gained experience using or at least trying to understand software packages, conducting statistical investigations, and presenting my findings. Therefore, my way could be an example for people who wants to have a career in those areas.
I hope, these short explanations would be helpful to shape your thoughts about statistics.