M.B.A. in Accounting
DePaul University, situated in the heart of Chicago, offers a distinguished Master of B...
M.S. in Data Science - Health Care
Chicago, Illinois
INTAKE: Jan, Mar, June & Sept
Program Overview
DePaul University's STEM Designated Master of Science (M.S.) in Data Science - Health Care program is a innovative program at the intersection of data science and healthcare prepares students for rewarding careers in an industry where advanced analytics and technology are transforming patient care. DePaul University's M.S. in Data Science - Health Care program combines academic excellence, practical experience, and a STEM designation to empower students with the skills needed to navigate the data-intensive landscape of healthcare. Join this program to embark on a journey that merges data science with healthcare, shaping the future of patient care and making a meaningful impact in the industry.ePaul University's M.S. in Data Science with a specialization in Health Care equips graduates with a versatile skill set, positioning them for success in the rapidly evolving healthcare landscape. As data-driven decision-making becomes integral to the field, professionals with expertise in both data science and health care are poised to make significant contributions to the well-being of individuals and communities. Join DePaul University and embark on a career that merges technological innovation with a commitment to improving healthcare outcomes.
Curriculum:
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STEM Designation: The M.S. in Data Science - Health Care program at DePaul University is proudly STEM designated, emphasizing its focus on Science, Technology, Engineering, and Mathematics. This designation highlights the program's commitment to providing students with rigorous training in quantitative and computational skills essential for success in the data science field.
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Interdisciplinary Curriculum: The curriculum is carefully designed to bridge the gap between data science and healthcare. Courses cover a range of topics, including machine learning, data visualization, statistical modeling, and healthcare informatics. This interdisciplinary approach ensures that graduates possess a comprehensive skill set valued in the rapidly evolving healthcare landscape.
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Healthcare Domain Expertise: Students gain specialized knowledge in healthcare data, learning to navigate electronic health records, analyze medical imaging data, and extract meaningful insights from diverse healthcare datasets. This focus on healthcare domain expertise distinguishes the program and prepares graduates to address industry-specific challenges.
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Hands-On Learning: The program emphasizes hands-on learning experiences, providing students with opportunities to work on real-world projects and case studies. Collaborations with industry partners, healthcare institutions, and research organizations allow students to apply their skills in practical settings, preparing them for the complexities of the healthcare data environment.
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Capstone Project: As a culmination of their learning journey, students undertake a capstone project that integrates their knowledge and skills. This project often involves tackling a real-world problem in healthcare using data science methodologies. It serves as a showcase of students' abilities and provides tangible solutions for industry challenges.
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Cutting-Edge Technologies: Students are exposed to the latest tools and technologies used in the field of data science. Whether it's advanced analytics software, machine learning frameworks, or healthcare-specific applications, students gain hands-on experience with tools that are in high demand within the industry.
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Faculty Expertise: The program is led by a team of experienced faculty members with diverse expertise in data science, healthcare analytics, and related fields. Their guidance and mentorship contribute to a rich learning environment, ensuring that students are well-prepared for the demands of their future careers.
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Industry Connections: DePaul University's strong ties with the healthcare industry provide students with networking opportunities, internships, and access to guest lectures from industry professionals. These connections enhance the program's relevance and support students in building valuable relationships within the healthcare data science community.
Location
Chicago, Illinois
Score
IELTS: 6.5
Tuition Fee
USD 23868
Entry Requirements for Postgraduate Programs
Application Fees : US$ 75
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Academic Qualifications: International students applying for postgraduate programs are required to have a bachelor's degree or its equivalent from an accredited institution. The minimum academic requirement is often a cumulative grade point average (GPA) of 3.0 on a 4.0 scale, which is equivalent to 60% or above.
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English Language Proficiency:
- IELTS: An overall score of 6.5 or higher, with no individual band score below 6.
- TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): A minimum overall score of 80 with no band less than 17.
- PTE (Pearson Test of English): A score of 53 or higher.
- DET (Duolingo English Test): A minimum score of 115.
DePaul University is dedicated to supporting the academic aspirations of international students. The university offers various scholarships and financial aid opportunities to help make education more accessible.
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International Student Scholarships: DePaul University provides merit-based scholarships to international undergraduate and graduate students. These scholarships consider academic achievements, test scores, and other criteria.
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Global Gateway Scholarships: These scholarships are designed for undergraduate international students who transfer from specific partner institutions to DePaul. They help facilitate a smooth transition.
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Dean's Merit-Based Scholarships: DePaul's colleges and schools offer dean's merit-based scholarships to international students within their respective programs. These scholarships recognize outstanding academic achievements and contributions.
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Graduate Assistantships: Graduate assistantships may be available to international students pursuing master's or doctoral degrees. These assistantships offer a stipend and sometimes a tuition waiver in exchange for research or teaching assistance.
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International Experience Scholarship: This scholarship is for undergraduate students planning to participate in study abroad programs. It provides financial support to students seeking to gain global perspectives.
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Vincent G. Rinn Family Endowed Scholarship: This scholarship is awarded to international students with financial need. It helps cover tuition costs and promote diversity within the DePaul community.
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Donor-Funded Scholarships: DePaul University administers a range of donor-funded scholarships, some of which are available to international students. These scholarships often have specific eligibility criteria and application requirements.
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Athletic Scholarships: DePaul offers athletic scholarships for international student-athletes who excel in various sports. These scholarships may cover tuition and related expenses.
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External Scholarships: DePaul encourages international students to explore external scholarship opportunities, both in their home countries and in the United States.
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Fellowship Programs: Some academic departments and schools offer fellowship programs that provide financial support to international graduate students pursuing specific areas of study.
It's important to note that scholarship availability, criteria, and application deadlines can vary among programs and departments at DePaul University.
Master of Science (M.S.) in Data Science program, specializing in Health Care is cutting-edge program that blends the realms of data analytics and health care, preparing graduates for dynamic careers at the intersection of technology and wellness.
1. Health Data Analyst: Graduates can pursue roles as health data analysts, leveraging their skills to extract valuable insights from large datasets in the healthcare sector. Analyzing patient records, treatment outcomes, and healthcare trends, they contribute to informed decision-making within medical institutions.
2. Clinical Informatics Specialist: As clinical informatics specialists, professionals apply data science techniques to enhance the efficiency of healthcare systems. They work on integrating and managing health information technologies, ensuring seamless communication between different departments for optimal patient care.
3. Predictive Modeler in Public Health: Individuals specializing in data science for health care can work as predictive modelers in public health organizations. They develop models to forecast disease trends, assess the effectiveness of public health interventions, and contribute to data-driven decision-making for community well-being.
4. Healthcare IT Consultant: Graduates may choose to work as consultants, guiding healthcare organizations in implementing and optimizing their information technology systems. This role involves understanding the unique data challenges in healthcare and providing strategic solutions for improved efficiency.
5. Research Scientist in Biomedical Informatics: Leveraging their data science skills, graduates can contribute to advancements in biomedical research. By working as research scientists in biomedical informatics, they aid in the analysis of complex biological data, supporting breakthroughs in medical research and drug development.
6. Population Health Analyst: With a focus on population health, graduates can become analysts dedicated to understanding and improving the health of entire communities. They analyze data related to demographics, social determinants, and health outcomes to inform strategies for promoting community well-being.
7. Health Data Privacy and Security Specialist: Given the sensitivity of health data, there is a growing need for professionals specializing in data privacy and security within healthcare. Graduates can play a crucial role in ensuring compliance with regulations and safeguarding patient information.
8. Telemedicine Data Scientist: The rise of telemedicine presents opportunities for data scientists to contribute to remote healthcare services. Professionals in this role use data analytics to enhance the efficiency of telemedicine platforms, improve patient experiences, and optimize virtual healthcare delivery.
9. Health Insurance Data Analyst: Graduates can explore roles within health insurance companies, analyzing data to assess risk, set premiums, and improve the overall efficiency of insurance processes. This role combines expertise in data science with an understanding of healthcare economics.
10. Healthcare Entrepreneur: Armed with a combination of data science skills and healthcare domain knowledge, graduates may choose to venture into entrepreneurship. They can create innovative solutions, such as health analytics platforms or personalized healthcare technologies, to address evolving industry needs.
