Namibia University of Science and Technology Master of Science in Applied Statistics
What is Master of Science in Applied Statistics ?
The M.S. in Applied Statistics provides training for a number of data-science positions in applied research settings, testing organizations, and businesses. The degree requires three semesters of full-time study, and students can complete the program in one year (fall/spring/summer).
Entry Requirement
Bachelor of Science Honours in Applied Statistics or equivalent qualification in a related discipline with evidence of having conducted supervised research.
Frequently Asked Questions
What can I do with a Master in applied statistics?
- Business analyst or data analyst.
- Research scientist.
- Statistical programmer.
- Quality assurance analyst.
- Machine learning engineer.
- Statistical researcher.
What is Master of Science in statistics?
The Master of Science (MS) degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis.
Is a masters in applied statistics worth it?
With their increased use across industries, the statistics career outlook is excellent. Part of what makes a master’s in applied statistics worth it is that you are not only learning how to leverage data to solve real-world problems, but which techniques and methods to utilize in specific scenarios.
Is applied statistics a good degree?
As the top-ranked job in U.S. News & World Report’s “Best Business Jobs” category, statisticians are in high demand—and the Master of Science in Applied Statistics and Analytics is regarded as one of the most versatile degrees a school can offer.
What is the Science of statistics?
Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.
What math prepares for statistics?
Before you take statistics, it is a good idea to brush up on the foundational knowledge you’ll need in the course. For example, an algebra course is often a prerequisite for statistics classes so, if it’s been a while since you’ve taken that course, you may want to refresh your algebraic skills in advance.
Are statistics hard?
Statistics stands out as being the more difficult type of math mostly because of the abstract concepts and ideas that you will get to later on in your study. You will find that when you start to actually try and understand what is going on in a statistics equation or problem, the concepts are very complicated.
Is a masters in applied statistics worth it?
With their increased use across industries, the statistics career outlook is excellent. Part of what makes a master’s in applied statistics worth it is that you are not only learning how to leverage data to solve real-world problems, but which techniques and methods to utilize in specific scenarios.
Who applied the statistics first?
The birth of statistics is often dated to 1662, when John Graunt, along with William Petty, developed early human statistical and census methods that provided a framework for modern demography. He produced the first life table, giving probabilities of survival to each age.
Why do students struggle with statistics?
Why is statistics so hard? There are a lot of technical terms in statistics that may become overwhelming at times. It involves many mathematical concepts, so students who are not very good at maths may struggle. The formulas are also arithmetically complex, making them difficult to apply without errors.
Is statistics math or science?
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions.
Is a masters in applied statistics good for data science?
Is applied statistics a good major for data science? – Quora. Absolutely ! Today the applied statistics is rather a generic field. A good applied coursework must consist of necessary theoretical background and also have strong computing flavor.