MBA - Master of Business Administration
The Master of Business Administration (MBA) program at Marquette University is a presti...
B.S. in Data Science - Interdisciplinary
Milwaukee, Wisconsin
INTAKE: Jan & Aug
Program Overview
The B.S. in Data Science - Interdisciplinary program at Marquette University is a cutting-edge and STEM-designated educational pathway that equips students with the skills and knowledge needed to navigate the complex landscape of data. This interdisciplinary program seamlessly integrates concepts from computer science, statistics, and domain-specific applications to provide a holistic understanding of data science. The curriculum is meticulously crafted to encompass a wide array of topics, including data analysis, machine learning, statistical modeling, and data visualization. Students engage in a dynamic learning environment that emphasizes both theoretical foundations and hands-on practical applications. The program is designed to foster collaboration, encouraging students to work on interdisciplinary projects that mirror the collaborative nature of real-world data science scenarios. At Marquette, students benefit from the expertise of dedicated faculty members actively involved in research and industry partnerships. State-of-the-art facilities and dedicated labs provide students with the resources to apply theoretical knowledge to real-world challenges using the latest tools and technologies. Internship opportunities offer valuable practical experience, and the program's emphasis on networking and industry connections ensures that students are well-prepared for the workforce.Marquette University's B.S. in Data Science - Interdisciplinary program stands as a testament to its commitment to delivering a comprehensive, industry-aligned education, preparing graduates to excel in the ever-evolving field of data science.
Curriculum:
-
Interdisciplinary Focus: The program is designed to provide a comprehensive understanding of data science by integrating elements from various disciplines, including computer science, statistics, and domain-specific applications.
-
STEM-Designated: Recognized as a STEM (Science, Technology, Engineering, and Mathematics) program, this designation emphasizes the program's commitment to delivering rigorous and cutting-edge education in the field of data science.
-
Curriculum Excellence: The curriculum is crafted to cover a broad spectrum of topics, including data analysis, machine learning, statistical modeling, and data visualization, ensuring that students gain proficiency in both foundational and advanced concepts.
-
Practical Application: Emphasis is placed on hands-on experience, allowing students to apply theoretical knowledge to real-world scenarios. Projects and case studies are integrated into the coursework to enhance practical skills.
-
Faculty Expertise: Students benefit from the guidance of experienced faculty members who are actively engaged in research and industry partnerships. This ensures that the curriculum remains relevant and aligned with industry trends.
-
State-of-the-Art Facilities: Marquette University provides cutting-edge facilities, including dedicated labs and resources, enabling students to engage in data science projects using the latest tools and technologies.
-
Collaborative Learning: The program fosters a collaborative learning environment, encouraging students to work on interdisciplinary projects. This mirrors the collaborative nature of data science in professional settings.
-
Internship Opportunities: Students have access to internship programs, facilitating practical exposure in real-world data science environments. This integration of academia and industry enhances students' readiness for the workforce.
-
Networking and Industry Connections: Marquette University facilitates networking opportunities with industry professionals through events, seminars, and guest lectures, allowing students to build valuable connections within the data science community.
-
Career Development Support: The university provides robust career development services, including resume building, interview preparation, and job placement assistance. This support ensures that graduates are well-prepared for successful careers in data science.
Location
Milwaukee, Wisconsin
Score
IELTS: 6.5
Tuition Fee
USD 42000
Entry Requirements For Undergraduate Programs
1. Completed Application: Students must submit all required documentation, including high school transcripts, SAT or ACT scores, and recommendation letters,Course by Course transcript evaluation required.
2. Academic Qualifications: The minimum requirement for admission is a high school diploma or equivalent. Marquette University also considers the student's academic performance in high school, including grades and the rigor of their coursework. A minimum GPA: 3.0 is required.
3. English Language Proficiency: International students must demonstrate English language proficiency through standardized tests like TOEFL overall score of 80, IELTS overall 6.5.
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
The B.S. in Data Science - Interdisciplinary program at Marquette University prepares students for a wide array of dynamic and evolving careers, fostering adaptability and expertise at the intersection of data science and various disciplines. Graduates emerge as versatile professionals ready to make significant contributions in the rapidly expanding field of data science.
-
Data Scientist/Analyst: Graduates are well-equipped for roles as data scientists or analysts, leveraging their interdisciplinary skills to extract valuable insights from large datasets, aiding decision-making processes.
-
Machine Learning Engineer: With a strong foundation in data science and interdisciplinary knowledge, graduates can pursue careers as machine learning engineers, developing and implementing advanced algorithms and models.
-
Business Intelligence Specialist: Graduates can excel in business intelligence roles, helping organizations make informed strategic decisions by analyzing and interpreting complex data sets.
-
Data Engineer: The program prepares students for roles in data engineering, where they can design, construct, and maintain the systems and architecture for data generation and processing.
-
Health Informatics Specialist: In the healthcare sector, graduates can contribute as health informatics specialists, utilizing data science to enhance patient care, optimize operations, and contribute to medical research.
-
Financial Analyst: With a solid understanding of data analysis, graduates can pursue roles in finance as analysts, providing insights for investment decisions, risk assessment, and financial planning.
-
Cybersecurity Analyst: The interdisciplinary nature of the program equips graduates with skills in cybersecurity, enabling them to analyze and protect sensitive information from potential threats.
-
Research Scientist: Graduates can engage in research roles, contributing to advancements in various fields by applying data science techniques to analyze and interpret research data.
-
Consultant: A career in consulting awaits graduates, where they can offer their expertise to diverse industries, providing solutions for optimizing processes, enhancing efficiency, and making data-driven decisions.
-
Entrepreneurship: Armed with a holistic understanding of data science and interdisciplinary knowledge, graduates can venture into entrepreneurship, creating innovative solutions, products, or services driven by data insights.
