M.B.A. in Accounting
DePaul University, situated in the heart of Chicago, offers a distinguished Master of B...
B.S. in Data Science
Chicago, Illinois
INTAKE: Jan, April & Sept
Program Overview
The B.S. in Data Science at DePaul University prepares students to harness the power of data to drive decision-making across various industries. This interdisciplinary program combines computer science, statistics, and domain-specific knowledge, enabling students to analyze and interpret complex datasets. Graduates are equipped with the technical skills and critical thinking abilities necessary to thrive in a data-driven world.
STEM-Designated: As a STEM-designated program, the B.S. in Data Science emphasizes science, technology, engineering, and mathematics. This designation highlights the program's focus on technical proficiency and allows international students to benefit from extended Optional Practical Training (OPT) opportunities, providing valuable work experience in the U.S. after graduation.
Curriculum: The curriculum encompasses core subjects such as data mining, machine learning, and statistical analysis, along with practical coursework in programming languages like Python and R. Students also have the opportunity to engage in hands-on projects, fostering a strong understanding of data visualization, database management, and big data technologies. Electives allow students to tailor their studies to specific interests, such as artificial intelligence or data ethics.
Research Focus: DePaul University encourages a robust research environment within the Data Science program. Students can participate in research initiatives that explore cutting-edge topics in data analysis, predictive modeling, and data-driven decision-making. Faculty members are actively engaged in research, offering mentorship and guidance to students interested in contributing to innovative projects.
Industry Engagement: The B.S. in Data Science program emphasizes strong industry connections through internships, partnerships, and networking opportunities. DePaul's location in Chicago, a major tech hub, provides students access to a wealth of internship opportunities with leading companies. Collaborations with industry professionals enrich the learning experience and prepare students for successful careers in data science.
Global Perspective: DePaul University promotes a global perspective in its Data Science curriculum, emphasizing the importance of understanding data issues in a global context. Students explore international case studies and are encouraged to consider the ethical implications of data usage across different cultures and societies. Opportunities for study abroad and international internships further enhance students' global awareness.
Location
Chicago, Illinois
Score
IELTS 6.5
Tuition Fee
USD 43665
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): 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.
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.
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.
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.
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.
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.
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.
Athletic Scholarships: DePaul offers athletic scholarships for international student-athletes who excel in various sports. These scholarships may cover tuition and related expenses.
External Scholarships: DePaul encourages international students to explore external scholarship opportunities, both in their home countries and in the United States.
It's important to note that scholarship availability, criteria, and application deadlines can vary among programs and departments at DePaul University.
Graduates of the B.S. in Data Science program at DePaul University are well-equipped to enter a thriving job market characterized by rapid growth and diverse opportunities. The increasing reliance on data-driven decision-making across industries has led to a strong demand for skilled data professionals.
Data Scientist: Data scientists analyze large datasets to extract meaningful insights and drive strategic decision-making. They use statistical methods and machine learning techniques to develop predictive models, helping organizations make informed choices.
Data Analyst: Data analysts focus on interpreting and visualizing data to provide actionable insights. They often work with business intelligence tools to create reports and dashboards, helping stakeholders understand trends and performance metrics.
Machine Learning Engineer: Machine learning engineers design and implement algorithms that allow systems to learn from data. They work on developing scalable machine learning models and often collaborate with data scientists to deploy these models in production environments.
Business Intelligence Analyst: Business intelligence analysts leverage data to inform business strategies. They gather, analyze, and present data in a way that helps organizations understand their performance and identify growth opportunities.
Statistician: Statisticians apply mathematical theories and techniques to collect, analyze, and interpret data. They play a crucial role in various fields, including healthcare, finance, and social sciences, providing insights that drive research and policy decisions.
Data Engineer: Data engineers focus on the architecture and infrastructure needed for data generation, storage, and processing. They build and maintain the systems that enable data collection and ensure data quality and accessibility.
Quantitative Analyst: Often employed in finance and investment firms, quantitative analysts use mathematical models to analyze financial data. They help organizations manage risk and optimize investment strategies through data-driven insights.
Operations Research Analyst: Operations research analysts use advanced analytical methods to help organizations solve complex problems and improve decision-making processes. They analyze data to identify trends and make recommendations for operational improvements.
Research Scientist: Research scientists in data science roles engage in scientific research to develop new methodologies or technologies for data analysis. They often work in academic, government, or corporate research environments.
Product Manager (Data Products): Graduates may pursue roles as product managers specializing in data-driven products. They oversee the development and implementation of data solutions, ensuring that products meet market needs and align with business goals.
