Demonstrate knowledge in statistical data analysis
Develop the capacity to build and evaluate data-driven models.
Utilize statistical tools such as SAS to do statistical analysis.
Gain technical skills in a variety of fields of Data Analytics in order to handle data for higher education and a successful profession
Demonstrate dexterity when it comes to data management.
Use Data Science concepts and methodologies to solve problems in real-world scenarios and efficiently disseminate the results.
Demonstrate the ability to adapt to new technology and improve their abilities through lifelong learning while maintaining a human values and ethics mindset.
Develop imagination in order to identify potential risks and develop new solutions across a variety of business disciplines.
Know the principles of computing techniques, as well as the fundamentals of mathematics programming and data science.
Provide a framework for Data Science users to employ with tools to help them make decisions when confronted with information technology.
Abstract Thinking: The ability to comprehend abstract concepts in mathematics, statistics, and computer science that lead to numerous data science theories.
To give valid results, use research-based knowledge and research methodologies such as experiment design, data analysis and interpretation, and information synthesis.
In Data Science, apply research-based knowledge to examine and solve advanced challenges.
Experience with large-scale data analytics programmes and enterprises, including planning, organising, directing, and managing them.
Using advanced statistical techniques, apply interpretive and probabilistic reasoning approaches to suit complex structures (e.g., SAS).
Individually and as a member or leader in different teams and diversified situations, perform well.