Educads
Master's Degree Computer Science & IT Full Time

Data Science

at Maryville University Β· United States

Duration

1–2 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

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.

Entry requirements

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.

English:

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.

International students:

International students planning to study in the United States will need to obtain a student visa. Typically, this process includes providing proof of enrollment, financial support, and a valid passport. Students should check the official regulations and requirements through their local U.S. embassy or consulate to ensure a smooth application process.

Career outcomes

  • Data Analyst
  • Data Scientist
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Statistician
  • Data Engineer
  • Research Scientist

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