Master's in Data Science
Introduction
Data Science is a Masters program taught at Maryville University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
The Master's in Data Science at Maryville University of Saint Louis equips students with the essential skills and knowledge to analyze complex data sets and derive meaningful insights. This program covers a broad spectrum of topics, including statistical analysis, machine learning, data visualization, and big data technologies. Students engage in hands-on projects that encourage the application of theoretical concepts in real-world scenarios.
Throughout the course, students will learn how to use various data analysis tools and programming languages such as Python, R, and SQL. The curriculum is designed to be interdisciplinary, integrating techniques from computer science, statistics, and domain-specific applications to prepare graduates for diverse challenges in data-driven decision-making.
Located in the United States, Maryville University provides an ideal environment for studying Data Science, thanks to its robust tech industry and supportive academic community. The university's emphasis on experiential learning allows students to connect with potential employers and industry leaders, enabling them to build professional networks while gaining valuable experience.
By completing this master's degree, students are not only prepared to meet the demands of the data science field but also develop critical thinking and problem-solving abilities that are highly valued in today's job market.
Admission Requirements
The minimum requirements for admission in Data Science at Maryville University for all applicants (Domestic or International) are:
- program specific academic requirment set by Maryville University.
- English Language OR any other language requirments as set by Maryville University as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
Applicants for the Master's in Data Science should typically hold a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. Some experience with programming and data analysis is also beneficial. Candidates may be required to submit transcripts, letters of recommendation, and a statement of purpose outlining their interest in the program and career aspirations.
International applicants must demonstrate proficiency in English, commonly through standardized tests such as IELTS or TOEFL. Generally, an IELTS score of 6.5 or higher or a TOEFL score of 80 or higher is expected, although exceptions may be made in certain cases. It is advisable for students to check specific university requirements for the most accurate information.
Courses Units
Please check detail of study units at https://www.maryville.edu/academics/
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Developer
- Machine Learning Engineer
- Statistician
- Data Engineer
- Research Scientist
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.