Statistics is an inductive science in which information is extracted from sample data in order to draw inferences. This most often involves planning experiments to ensure that valid answers to questions are obtained from the sample. Statistics is a subject that deals with the collection and analysis of data and affect most aspects of modern life. It is a subject that derives vitality in coping with practical problems, which arises in all fields of scientific activities.
Applied statistics is the root of data analysis, and the practice of applied statistics involves analyzing data to help define and determine business needs. With today’s increased access to big data, companies are looking for statisticians, data analysts, data scientists, and other professionals with applied statistics knowledge who can visualize and analyze data, make sense of it all, and use it to solve real-world problems.
Statistical methods are exclusively used in Biological and Physical Sciences, Agriculture, Business, Finance, Economics, Engineering, and many other fields. It deals rationally and objectively with the uncertainty that accompanies variation phenomena as highly complex as the interplay of many factors that affects our environment.
Applied statisticians apply their knowledge of statistical methods to a variety of subject areas, such as biology, economics, engineering, medicine, public health, psychology, marketing, and education.
This BSc degree in Applied Statistics is structured to provide fundamental knowledge of the application of statistics in these fields. The program covers five major areas of Applied Statistics, namely:
The BSC in Applied Statistics prepares students to meet today’s surging demand for data experts. The program combines statistics theory and methodologies with emerging technologies and teaches students how to take real data and interpret it in an efficient manner.
The main objectives of this BSC in Applied Statistics programme are to:
BSC in Applied Statistics graduates will be able to apply statistics to solve practical problems in today’s data-centric world. They decide what data they need to collect and how to collect that data; and then they analyze and interpret it using statistical tools, algorithms, and software.
This Bachelor of Science in Applied Statistics course covers statistical theory, statistical inference, probability theory, data mining and visualization, programming languages, and more.
The units covered include:
First Year, First Semester
First Year, Second Semester
Second Year, First Semester
Second Year, Second Semester
Third Year, First Semester
Third Year Second Semester
Electives
Fourth Year, First Semester
Fourth Year, Second Semester
Electives