M.B.A. in Accounting
DePaul University, situated in the heart of Chicago, offers a distinguished Master of B...
B.A. in Data Science
Chicago, Illinois
INTAKE: Jan, April & Sept
Program Overview
DePaul University’s B.A. in Data Science program is designed to equip students with the essential skills to analyze complex data and derive actionable insights. This interdisciplinary program combines elements of computer science, mathematics, and statistics, enabling students to tackle real-world problems through data-driven decision-making. Graduates are prepared for careers in various industries, including healthcare, finance, and technology.
STEM-Designated: The B.A. in Data Science is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's focus on technical skills and analytical methodologies essential for success in data-centric careers. As a STEM program, it offers international students the opportunity for an extended Optional Practical Training (OPT) period, allowing them to gain valuable work experience in the United States after graduation.
Curriculum: The curriculum encompasses a blend of core courses and electives that provide a solid foundation in data science principles. Students study programming languages (such as Python and R), data visualization, machine learning, and statistical analysis. Hands-on projects and case studies are integral to the learning process, enabling students to apply theoretical knowledge to practical scenarios.
Research Focus: Research opportunities in the Data Science program encourage students to engage with current issues in data analysis and machine learning. Faculty-led projects often focus on areas such as predictive analytics, data ethics, and the application of big data in social sciences. Students are encouraged to participate in research initiatives that contribute to advancing the field and enhancing their analytical skills.
Industry Engagement: DePaul maintains strong connections with the tech industry, providing students with ample opportunities for internships, co-ops, and networking. Collaboration with local businesses and organizations allows students to gain real-world experience and apply their skills in professional settings. Guest lectures, workshops, and industry events further enrich the learning experience, exposing students to current trends and practices in data science.
Global Perspective: The program incorporates a global perspective by examining how data science impacts various sectors worldwide. Students explore topics such as international data privacy laws, the role of data in global health, and the implications of data-driven policies in different cultures. This emphasis prepares graduates to work in diverse environments and address global challenges through data analysis.
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 DePaul University’s B.A. in Data Science program are well-equipped to enter a rapidly growing job market. The interdisciplinary training provided by the program prepares students for various roles across multiple industries.
Data Analyst: Data analysts collect, process, and analyze data to help organizations make informed decisions. They utilize statistical tools to interpret data sets and communicate findings effectively.
Data Scientist: Data scientists build advanced analytical models to predict outcomes and uncover insights from complex data. They often work with large datasets and use machine learning techniques to drive data-driven strategies.
Business Intelligence Analyst: These professionals analyze data to improve business operations and strategies. They create reports and dashboards to present insights to stakeholders and support data-driven decision-making.
Machine Learning Engineer: Graduates may pursue careers as machine learning engineers, developing algorithms and predictive models that enable machines to learn from data. This role combines expertise in software engineering and data science.
Data Engineer: Data engineers design and maintain the infrastructure for data generation and processing. They ensure that data pipelines are efficient and scalable, allowing organizations to leverage their data effectively.
Quantitative Analyst: Often employed in finance, quantitative analysts use statistical and mathematical models to analyze financial data and inform investment strategies. They are critical in risk management and trading.
Statistician: Statisticians apply mathematical theories and techniques to collect, analyze, and interpret data. They work in various fields, including healthcare, government, and market research, to inform policy and strategy.
Market Research Analyst: These analysts study market conditions to understand potential sales of a product or service. They use data analytics to assess consumer preferences and identify trends that can influence marketing strategies.
Consultant: Data science consultants work with organizations to improve their data strategies and analytics capabilities. They assess current practices, recommend solutions, and implement data-driven initiatives.
Graduate Studies: Many graduates choose to further their education by pursuing advanced degrees in data science, machine learning, artificial intelligence, or related fields, opening doors to research and specialized roles in academia or industry.
