Master in Data Science

Milwaukee, Wisconsin

 

INTAKE: Jan & Aug

Program Overview

The M.S. in Data Science at Marquette University is designed to provide students with a strong foundation in data analytics, statistical modeling, machine learning, and data visualization. The program emphasizes the application of these skills to real-world problems and prepares students to become data-driven professionals in various industries. The program is STEM-designated, which recognizes its focus on Science, Technology, Engineering, and Mathematics.

Curriculum:

  1. Core Courses: The program offers a set of core courses that provide students with a solid understanding of data science principles and techniques. These courses may include topics such as data mining, statistical methods, machine learning, data visualization, and big data analytics.

  2. Elective Courses: Students have the flexibility to choose elective courses based on their specific interests and career goals. These courses may cover advanced topics in data science, such as natural language processing, deep learning, data ethics, and data privacy.

  3. Applied Projects: The curriculum may include applied projects that allow students to apply their knowledge and skills to real-world data science challenges. These projects provide hands-on experience in data analysis, modeling, and interpretation, enhancing students' problem-solving abilities.

  4. Industry Engagement: Marquette University fosters collaborations with industry partners, providing students with opportunities for internships, cooperative education experiences, and industry-sponsored projects. These engagements enable students to gain practical experience and develop valuable professional connections.

  5. Capstone Project: The program may culminate in a capstone project where students work on a substantial data science project under the guidance of faculty advisors. This project allows students to demonstrate their mastery of data science techniques and showcase their abilities to potential employers.

Pollster Education

Location

Milwaukee, Wisconsin

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

USD 20543

Entry Requirements for Postgraduate Courses:

Application Fees : US$  

  1. Academic Qualifications: International students applying for postgraduate programs at Marquette University are typically expected to have a minimum academic percentage of 65 or above in their undergraduate studies. This ensures a strong foundation for advanced studies in their chosen field.

  2. English Language Proficiency: The minimum required score for IELTS is 6.5, and for TOEFL, a score of 80 or above is typically required. These tests evaluate a student's ability to comprehend and communicate effectively in English.

  3. Standardized Tests: The GRE, a score of 303 is typically expected. This test assess a student's aptitude and readiness for advanced academic work in specific fields.

Marquette University offers several scholarships and financial aid options to support international students in pursuing their education. These scholarships are designed to recognize academic achievement, leadership potential, and diverse backgrounds. 

  1. International Merit Scholarships: Marquette University offers merit-based scholarships to outstanding international students. These scholarships are awarded based on academic excellence and range from partial to full tuition coverage. Eligible students are automatically considered for these scholarships upon admission.

  2. Ignatius Scholarship Program: The Ignatius Scholarship Program is a highly competitive scholarship opportunity for incoming freshmen. It recognizes students who have demonstrated exceptional leadership skills, service to others, and academic achievement. The scholarship provides financial assistance and access to a range of enrichment programs.

  3. Talent-based Scholarships: Marquette University offers talent-based scholarships for students with exceptional skills in areas such as music, theater, and visual arts. These scholarships are awarded through auditions, portfolio reviews, or other talent-based evaluations.

  4. Departmental Scholarships: Various academic departments at Marquette University offer scholarships to students within their respective fields of study. These scholarships recognize academic excellence and provide financial assistance to support students' educational pursuits.

  5. International Student Work Opportunities: Marquette University provides international students with opportunities for on-campus employment. These part-time jobs allow students to gain valuable work experience, earn income to cover expenses, and contribute to their personal and professional development.

  6. External Scholarships and Sponsorships: Marquette University encourages international students to explore external scholarship opportunities and sponsorships. There are several organizations, foundations, and government programs that offer scholarships specifically for international students studying in the USA. The university's International Student Services office can provide guidance and resources to assist students in identifying and applying for such scholarships.

It's important to note that scholarship availability, criteria, and application deadlines may vary each year.

Graduates of the M.S. in Data Science program at Marquette University are well-equipped to pursue a range of exciting career opportunities in the rapidly growing field of data science. 

  1. Data Scientist: Data scientists analyze complex datasets to extract insights and inform decision-making processes. They develop predictive models, design algorithms, and communicate findings to stakeholders.

  2. Data Analyst: Data analysts collect, clean, and analyze data to identify trends, patterns, and correlations. They generate reports and visualizations to facilitate data-driven decision-making.

  3. Machine Learning Engineer: Machine learning engineers design and implement machine learning algorithms and models to enable systems to learn from data and make predictions or automate tasks.

  4. Business Intelligence Analyst: Business intelligence analysts gather and analyze business data to support strategic decision-making. They develop dashboards, reports, and visualizations to communicate insights to business stakeholders.

  5. Data Engineer: Data engineers build and maintain data infrastructure, including data pipelines, databases, and data warehouses. They ensure data quality, reliability, and availability for analysis.

  6. Data Consultant: Data consultants work with organizations to help them leverage their data assets and develop data-driven strategies. They provide expertise in data analysis, visualization, and predictive modeling.


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