Master's in Data Science and Analytic Storytelling
Introduction
Data Science and Analytic Storytelling is a Masters program taught at Truman State University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
The Master's Degree in Data Science and Analytic Storytelling at Truman State University prepares students for a dynamic career at the intersection of data analysis and storytelling. This rigorous program covers essential topics including data mining, statistical analysis, machine learning, and data visualization. Students learn how to transform complex datasets into compelling narratives that inform decision-making in various industries.
The course is structured to provide a blend of theoretical understanding and practical application, featuring hands-on projects and case studies. Students work with real-world data to build analytical models while developing communicative skills essential for presenting their findings effectively. The curriculum emphasizes the importance of storytelling in data science, equipping students with the tools to convey insights and influence stakeholders.
Studying this program in the United States offers students exposure to advanced technologies and methodologies prevalent in the global tech landscape. The university's network with industry leaders provides opportunities for internships and collaborative projects, enriching the learning experience. Given the increasing demand for data-driven decision-making in businesses, graduates will be well-positioned to enter a thriving job market.
Admission Requirements
The minimum requirements for admission in Data Science and Analytic Storytelling at Truman State University for all applicants (Domestic or International) are:
- program specific academic requirment set by Truman State University.
- English Language OR any other language requirments as set by Truman State University as pre-requiste for admission in Data Science and Analytic Storytelling.
Note: Please check the university website in the link below.
Applicants are typically required to hold a bachelor's degree from a recognized institution, preferably in a related field such as Computer Science, Statistics, Mathematics, or Engineering. A strong academic record and proficiency in quantitative methods are essential. Prior coursework or experience in programming and statistics will be beneficial for applicants.
International applicants are generally expected to demonstrate English proficiency through standardized tests such as IELTS or TOEFL. Minimum scores typically required are an IELTS score of 6.5 or higher, or a TOEFL score of 79 or higher. However, requirements may vary, so applicants should verify specific expectations on the university's official site.
Courses Units
Please check detail of study units at https://www.truman.edu/majors-programs
More Information
- Data Scientist
- Business Analyst
- Data Analyst
- Machine Learning Engineer
- Market Research Analyst
- Quantitative Analyst
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.