Masters in Accounting (M.Acc.)
The Master's in Accounting program at Saint Louis University is an intensive, one-y...
B.S. in Data Science
St. Louis, Missouri
INTAKE: Jan & Aug
Program Overview
Saint Louis University (SLU) offers a Bachelor of Science (B.S.) in Data Science that provides students with a robust foundation in data analysis, statistical modeling, and computational techniques. This program is designed to equip students with the skills needed to manage and interpret large datasets, derive actionable insights, and apply data-driven solutions across various domains. The B.S. in Data Science at SLU prepares graduates for careers in analytics, data management, and related fields by integrating principles from mathematics, statistics, and computer science.
STEM-Designated: The B.S. in Data Science at SLU is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation underscores the program's emphasis on quantitative and analytical skills, computational techniques, and scientific methodologies. The STEM classification reflects the program’s focus on developing technical proficiency in data handling, statistical analysis, and machine learning, which are crucial for solving complex problems in a data-driven world. The designation also enhances students' eligibility for STEM-related job opportunities and visa benefits.
Curriculum: The curriculum for the B.S. in Data Science at SLU is designed to provide a comprehensive education in data science methodologies and applications. Core courses include data analysis, statistical modeling, database management, and machine learning. Students also complete coursework in programming languages such as Python and R, data visualization, and advanced analytics. The program integrates theoretical knowledge with practical skills through hands-on projects, case studies, and internships. Elective courses allow students to tailor their education to specific interests, such as artificial intelligence or big data analytics.
Research Focus: SLU’s B.S. in Data Science program emphasizes research and practical applications of data science techniques. Faculty members are involved in cutting-edge research across various areas, including data mining, predictive analytics, and data-driven decision-making. Students have opportunities to engage in research projects, collaborate with faculty, and contribute to innovative studies that address real-world problems. The program fosters a research-oriented approach, helping students develop critical thinking skills and gain experience in advanced data analysis techniques.
Industry Engagement: The B.S. in Data Science program at SLU emphasizes strong industry engagement, providing students with opportunities to gain practical experience and connect with professionals in the field. The program facilitates internships, cooperative education placements, and industry-sponsored projects. Students work with leading organizations to apply their skills in real-world settings, gaining valuable insights into industry practices and building professional networks. SLU’s career services and industry partnerships offer additional support for job placement and career development.
Global Perspective: The program incorporates a global perspective by preparing students to address data science challenges in an international context. Coursework and projects often involve global datasets and case studies, exposing students to international data trends and issues. Opportunities for study abroad programs and global research collaborations further enhance students' understanding of data science applications worldwide. This global outlook ensures that graduates are equipped to work in a diverse, interconnected world and tackle data-related challenges on a global scale.
Location
St. Louis, Missouri
Score
IELTS 6.5
Tuition Fee
USD 55220
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% 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 54 or higher.
- DET (Duolingo English Test): Overall score of 110.
Saint Louis University (SLU) in the United States offers a range of scholarships and financial aid opportunities to support international students in their pursuit of higher education. These scholarships are designed to recognize academic excellence, promote diversity, and assist students in managing the costs of their education.
Merit-Based Scholarships: SLU offers merit-based scholarships to international students based on their academic achievements, typically in the form of tuition reductions. These scholarships may vary in amount and eligibility criteria, but they are generally awarded to students with outstanding academic records.
International Student Scholarships: SLU specifically offers scholarships for international students to promote diversity and foster a global campus community. These scholarships may consider factors beyond academics, such as leadership, community involvement, or extracurricular achievements.
Departmental Scholarships: Some academic departments within SLU may offer scholarships to international students pursuing specific majors or fields of study. These scholarships can be a valuable resource for students with strong academic interests in particular disciplines.
Government and External Scholarships: International students may explore scholarships offered by their home governments, international organizations, or external agencies that support higher education. SLU's financial aid office can provide guidance on external scholarship opportunities.
Need-Based Financial Aid: SLU is committed to assisting students with financial need. International students can explore need-based financial aid options and work with the university's financial aid office to determine eligibility.
Study Abroad Scholarships: SLU encourages international experiences, and there are scholarships available for students participating in study abroad programs. These scholarships can help offset the costs of studying in another country.
Global Scholarship Exchange Programs: SLU collaborates with partner universities worldwide, enabling students to participate in exchange programs. These programs often include scholarship opportunities that facilitate international academic experiences.
It's important for international students to research and apply for scholarships early in the application process, as deadlines and eligibility criteria may vary.
Graduates of the Bachelor of Science (B.S.) in Data Science program from Saint Louis University (SLU) are well-equipped to pursue a wide range of careers in the rapidly evolving field of data science. The program’s strong focus on data analysis, statistical modeling, and computational techniques provides students with the skills needed to excel in various roles across industries.
Data Analyst: Data analysts interpret complex datasets to help organizations make informed decisions. They use statistical techniques and data visualization tools to uncover trends, generate reports, and provide actionable insights.
Data Scientist: Data scientists build on the skills of data analysts by applying advanced statistical models, machine learning algorithms, and programming techniques to solve complex problems. They develop predictive models, design experiments, and analyze large-scale data to drive strategic decisions.
Business Intelligence (BI) Analyst: BI analysts focus on transforming data into meaningful business insights. They create dashboards, develop reporting tools, and use data analytics to support business operations and strategy.
Machine Learning Engineer: Machine learning engineers design and implement algorithms that enable systems to learn from data and make predictions. They work on developing scalable machine learning models and integrating them into applications and products.
Data Engineer: Data engineers build and maintain the infrastructure required for data generation, storage, and processing. They design and implement data pipelines, manage databases, and ensure data quality and accessibility.
Quantitative Analyst: In finance and investment sectors, quantitative analysts use mathematical and statistical models to analyze financial data, assess risk, and develop trading strategies. They apply data science techniques to inform investment decisions and financial forecasting.
Data Architect: Data architects design and manage data systems and structures. They work on creating data models, defining data storage solutions, and ensuring data integration across various platforms.
Healthcare Data Analyst: Healthcare data analysts specialize in analyzing medical data to improve patient outcomes and operational efficiency in healthcare settings. They work on projects related to health informatics, patient care analytics, and healthcare policy.
Market Research Analyst: Market research analysts study market conditions to identify potential sales opportunities and consumer preferences. They analyze data related to market trends, customer behavior, and competitive dynamics.
Operations Research Analyst: Operations research analysts use mathematical and statistical methods to solve complex problems related to logistics, supply chain management, and operational efficiency. They optimize processes and systems to enhance organizational performance.
