Pollster Education Logo Pollster Education Logo  Sign up

M.S. in Computer Science - Data Science

Seattle, Washington

 

INTAKE: Jan, Mar & Sep

Program Overview

Seattle University is an esteemed institution dedicated to academic excellence and innovation. Their Master of Science (M.S.) in Computer Science - Data Science program is a testament to this commitment, designed to nurture future leaders in the dynamic field of data science.Seattle University's M.S. in Computer Science program with a specialization in Data Science is a comprehensive and transformative pathway to a thriving career in the data-driven world. With a strong academic foundation, hands-on experience, a STEM designation, and ethical considerations, graduates are well-equipped to contribute meaningfully to the field, harnessing the power of data to drive innovation and decision-making. This program isn't just an education; it's a transformative journey to becoming a data science leader and innovator.

Curriculum:

  1. STEM-Designated: A standout feature of the program is its STEM designation, signifying its strong emphasis on science, technology, engineering, and mathematics. This recognition positions graduates for success in STEM-related careers.

  2. Advanced Curriculum: The curriculum offers an advanced and comprehensive study of data science, encompassing topics such as data analysis, machine learning, artificial intelligence, and data visualization.

  3. Practical Learning: Students engage in hands-on projects and real-world applications of data science concepts, ensuring they acquire practical skills in harnessing data for decision-making.

  4. Cutting-edge Tools: The program equips students with proficiency in using advanced data science tools and software, enabling them to handle complex real-world data.

  5. Ethical Considerations: Ethical considerations are woven into the curriculum, preparing graduates to make responsible and ethical decisions in their data science careers, particularly in areas like data privacy.

  6. Interdisciplinary Opportunities: Collaboration with other STEM disciplines and access to state-of-the-art research facilities allow students to explore cross-disciplinary applications of data science.

  7. Industry Connections: Seattle University maintains strong ties with local tech companies, facilitating internships, job placements, and networking opportunities for students.

  8. Capstone Projects: Students often complete capstone projects, allowing them to apply their knowledge and skills to real-world data science challenges.

  9. Faculty Expertise: The program benefits from a faculty composed of experts in the field, offering students valuable mentorship and guidance.

  10. Data Science Ethics: Courses specifically address data ethics, ensuring graduates have a deep understanding of the ethical considerations in data collection, analysis, and application.

Pollster Education

Location

Seattle, Washington

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 23202

Entry Requirements for Postgraduate Programs

Academic Performance: You are required to have achieved a minimum of 65% or above in your previous academic qualifications. This ensures that you have a solid academic foundation to thrive in your chosen program.

  • English Language Proficiency: 

    • IELTS: Overall score of 6.5, with no individual band score less than 6.
    • TOEFL iBT: Overall score of 86.
    • PTE (Pearson Test of English): Score of 63.
    • DET (Duolingo English Test): Score of 120.

Seattle University, located in the heart of Seattle, USA, is renowned for its academic excellence, commitment to social justice, and vibrant campus community. The university is dedicated to providing international students with exceptional educational opportunities through a variety of scholarship programs. 

  1. Global Scholars Award: Seattle University offers the Global Scholars Award to incoming undergraduate international students. This merit-based scholarship recognizes academic excellence and provides recipients with a substantial reduction in tuition costs.

  2. Presidential Scholarship: This highly competitive scholarship is open to international students with outstanding academic achievements. It covers a significant portion of tuition costs and is renewable for up to four years.

  3. International Student Merit Scholarship: Recognizing academic achievements, this scholarship is available to international undergraduate and graduate students. The award amount varies and is based on the applicant's academic profile.

  4. Albers Professional MBA Scholarships: For international students pursuing the Professional MBA program at the Albers School of Business, several scholarships are available based on merit, diversity, and professional achievements.

  5. Law School Scholarships: Seattle University School of Law offers scholarships to international students based on academic performance, professional experience, and commitment to social justice.

  6. STEM Scholarships: International students pursuing degrees in Science, Technology, Engineering, and Mathematics (STEM) fields may be eligible for specialized scholarships and assistantships within their respective departments.

  7. School of Theology and Ministry Scholarships: International students interested in theological education can explore scholarship opportunities within the School of Theology and Ministry.

  8. Assistantships: In addition to scholarships, some departments offer teaching or research assistantships to international graduate students, providing financial support and valuable work experience.

Application Process: Applicants to Seattle University are automatically considered for most merit-based scholarships upon submitting their admission application. However, some scholarships may require separate applications or additional materials.

Graduates of Seattle University's M.S. in Computer Science - Data Science program are well-prepared for diverse and high-impact career opportunities.

  1. Data Scientist: Graduates can pursue roles as data scientists, utilizing data analysis and machine learning to extract insights and drive informed decision-making.

  2. Machine Learning Engineer: With expertise in machine learning, graduates can design and implement machine learning models to solve complex problems.

  3. Business Analyst: Graduates can work as business analysts, translating data insights into actionable strategies for organizations.

  4. Data Engineer: Data engineers specialize in designing and managing data pipelines, ensuring data availability and integrity for analysis.

  5. Artificial Intelligence Specialist: Those interested in AI can work on developing AI algorithms and applications across industries.

  6. Big Data Analyst: Given the increasing volume of data, graduates can analyze and interpret large datasets to uncover trends and patterns.

  7. Research Scientist: Opportunities exist in academia or industry to conduct advanced research in data science and contribute to technological advancements.

  8. Consultant: Graduates can offer data science consulting services to organizations seeking to leverage data for strategic decision-making.

  9. Quantitative Analyst (Quant): In finance and investment sectors, graduates can work as quants, using data analysis to inform trading strategies.

  10. Healthcare Informatics Specialist: Graduates can apply data science in healthcare, analyzing medical data to improve patient care and outcomes.

Similar Courses
View All
WhatsApp Enquiry Call Enquiry