Masters of Business Administration (MBA)
Webster University's Master of Business Administration (MBA) program is a transform...
B.S. in Data Analytics
Webster Groves, Home Campus
INTAKE: Jan & Aug
Program Overview
Webster University's B.S. in Data Analytics is designed to equip students with the analytical skills needed to extract meaningful insights from complex data sets. This program emphasizes a hands-on learning approach, combining theoretical knowledge with practical applications to prepare graduates for the demands of the data-driven job market.
STEM-Designated: The B.S. in Data Analytics is recognized as a STEM-designated program, which not only highlights its rigorous focus on science, technology, engineering, and mathematics but also provides international students with opportunities for extended practical training (OPT) in the United States after graduation.
Curriculum: The curriculum is comprehensive, covering key areas such as statistical analysis, data visualization, machine learning, and database management. Students engage in a mix of core courses and electives, allowing them to tailor their education to their specific interests within the field of data analytics.
Research Focus: Webster University encourages students to participate in research initiatives that explore innovative data solutions across various sectors. This focus on research enhances the learning experience, allowing students to work alongside faculty members on projects that address real-world challenges through data analysis.
Industry Engagement: The program actively collaborates with industry partners to provide students with internship opportunities, guest lectures, and networking events. This engagement not only enriches the academic experience but also facilitates a smoother transition into the workforce, as students gain exposure to current industry practices and trends.
Global Perspective: Webster University prides itself on fostering a global perspective among its students. The B.S. in Data Analytics program includes opportunities for international study and cross-cultural collaboration, enabling students to understand data analytics in a global context and prepare for careers in diverse environments.
Location
Webster Groves, Home Campus
Score
IELTS 6
Tuition Fee
USD 30530
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 6.0 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 80 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 110.
The university provides various scholarship opportunities to support international students in their academic pursuits.
Global Leadership Scholarship: The Global Leadership Scholarship is designed for undergraduate international students who have demonstrated outstanding leadership in their communities or academic achievements. Eligibility criteria may include a strong academic record, leadership experience, and a making a positive impact.
Webster World Traveler Scholarship: This scholarship is aimed at encouraging international students to embrace and explore global perspectives. It may provide financial support for travel and cultural experiences. Eligibility criteria may include a passion for global engagement and a desire to contribute to international understanding.
International Cultural Engagement and Global Citizenship Scholarship: Webster University values students who actively engage with different cultures and contribute to global citizenship. This scholarship recognizes such contributions. Eligibility criteria may include involvement in cultural activities, community service, and a commitment to fostering cross-cultural understanding.
External Scholarships: Webster University may provide guidance on external scholarship opportunities that international students can explore for additional financial support.
B.S. in Data Analytics program at Webster University equips graduates with the technical skills and analytical mindset needed to excel in a variety of data-driven roles across industries, making them valuable assets in today's data-centric job market.
Data Analyst: Graduates can pursue careers as data analysts, where they collect, process, and analyze data to provide insights that support business decisions. Their role involves interpreting complex data sets, creating visualizations, and communicating findings to stakeholders.
Business Intelligence Analyst: Many graduates work as business intelligence analysts, focusing on data-driven decision-making. They analyze business trends and performance metrics to help organizations improve efficiency and effectiveness, ultimately guiding strategic planning.
Data Scientist: With additional training and experience, graduates may transition into data science roles, applying advanced statistical methods, machine learning, and programming skills to solve complex problems and develop predictive models.
Data Engineer: Graduates can become data engineers, responsible for designing and maintaining data pipelines and architectures. They ensure that data is accessible, reliable, and secure, enabling analysts and scientists to work with high-quality data.
Quantitative Analyst: Some graduates may find opportunities as quantitative analysts, particularly in finance and investment sectors. They utilize mathematical models and statistical techniques to assess risks and predict market trends.
Market Research Analyst: Graduates can also work as market research analysts, where they evaluate market conditions, identify consumer preferences, and analyze competitors. Their insights help companies develop effective marketing strategies and product offerings.
Operations Analyst: Many graduates take on roles as operations analysts, optimizing processes and systems within organizations. They analyze operational data to identify inefficiencies and recommend improvements that enhance productivity.
Consultant: Graduates may choose to become consultants, leveraging their analytical skills to provide expertise to businesses seeking to improve their data management and analytics capabilities. This role often involves working with diverse clients across various industries.
Data Privacy Officer: With the growing importance of data privacy, some graduates may pursue careers as data privacy officers, ensuring that organizations comply with data protection regulations and implement best practices for handling sensitive information.
Academic Researcher: For those interested in continuing their education, some graduates may pursue advanced degrees in data analytics or related fields, leading to academic research positions or teaching opportunities at the university level.
