Masters of Business Administration (MBA)
The Master of Business Administration program at GGU is designed to foster strategic th...
B.S. in Data Analytics
San Francisco, California
INTAKE: Jan, May & Aug
Program Overview
Golden Gate University (GGU) offers a Bachelor of Science in Data Analytics designed to equip students with the essential skills and knowledge to thrive in the rapidly evolving field of data analysis. This program focuses on providing a comprehensive understanding of data management, statistical analysis, and data visualization, empowering graduates to make data-driven decisions in various industries. By integrating theoretical knowledge with practical applications, the program prepares students for successful careers in data analytics and related fields.
STEM-designated: The B.S. in Data Analytics program at GGU is STEM-designated, which highlights its focus on science, technology, engineering, and mathematics. This designation allows international students to benefit from extended Optional Practical Training (OPT) opportunities, providing them with additional time to gain practical work experience in the United States after graduation. This emphasis on STEM also ensures that students develop critical analytical skills and a strong technical foundation in data-related disciplines.
Curriculum: The curriculum for the B.S. in Data Analytics includes a diverse range of courses that cover key topics such as data mining, predictive analytics, data visualization, database management, and programming for data analysis. Students engage in hands-on projects that allow them to apply theoretical concepts to real-world scenarios, enhancing their understanding and preparing them for industry demands. The program also offers elective courses that enable students to tailor their education to specific interests and career goals.
Research Focus: GGU emphasizes the importance of research in the field of data analytics, encouraging students to engage in projects that explore emerging trends, technologies, and methodologies. Faculty members guide students in applying research methodologies to analyze and interpret data, equipping them with the skills to conduct independent research that contributes to the evolving field of analytics.
Industry Engagement: Golden Gate University prioritizes industry engagement by providing students with opportunities to connect with professionals through internships, networking events, and workshops. Collaborations with industry partners allow students to gain practical experience, understand current industry challenges, and build professional networks that enhance their career prospects upon graduation.
Global Perspective: The B.S. in Data Analytics program incorporates a global perspective, preparing students to navigate the complexities of data analysis in an interconnected world. Coursework addresses the implications of data ethics, privacy, and security on a global scale, ensuring graduates are equipped to make informed decisions in diverse cultural and regulatory contexts.
Location
San Francisco, California
Score
IELTS 6
Tuition Fee
USD 13860
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% 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 60 or higher.
- PTE: Overall score of 48 or higher.
- DET (Duolingo English Test): Minimum score of 90.
Golden Gate University (GGU) is providing support for international students through various scholarship opportunities. These scholarships are designed to assist students in pursuing their academic goals and contribute to the diverse and vibrant community at GGU.
International Student Scholarships: GGU may offer specific scholarships dedicated to international students based on academic merit, leadership qualities, and other criteria. These scholarships can contribute to tuition and living expenses during the course of study.
Merit-Based Scholarships: Merit-based scholarships are awarded to international students who demonstrate outstanding academic achievements. These scholarships recognize students with high GPAs, exceptional test scores, and a strong academic background.
Country-Specific Scholarships: GGU may have scholarships tailored for students from specific countries, encouraging diversity and fostering global perspectives within the university community.
External Scholarship Opportunities: GGU may provide information about external scholarship opportunities that international students can apply for. These scholarships may be offered by private organizations, foundations, or government entities.
Graduates of the B.S. in Data Analytics program at Golden Gate University are well-prepared to enter a variety of exciting and high-demand careers in the data analytics field. Their training equips them with essential skills for analyzing and interpreting data to inform business decisions.
Data Analyst: Data analysts collect, process, and perform statistical analyses on large datasets to identify trends and patterns that can guide business strategies and improve operational efficiency.
Business Intelligence Analyst: These professionals utilize data visualization tools and techniques to create reports and dashboards, providing insights that support decision-making processes within organizations.
Data Scientist: Data scientists employ advanced analytics, machine learning, and statistical methods to extract insights from complex data sets, helping organizations develop data-driven solutions and strategies.
Data Engineer: Data engineers design and maintain data systems and architectures, ensuring that data is accessible, reliable, and usable for analysis by data scientists and analysts.
Quantitative Analyst: Often employed in finance, quantitative analysts use mathematical models and statistical techniques to analyze financial data and assist in risk management and investment strategies.
Market Research Analyst: These analysts study market conditions to understand potential sales of a product or service, analyzing data about consumers and competitors to help businesses identify market opportunities.
Operations Analyst: Operations analysts examine internal processes and performance metrics, identifying areas for improvement and optimizing workflows to enhance efficiency and reduce costs.
Predictive Modeler: Focused on forecasting future trends, predictive modelers use statistical techniques and machine learning algorithms to create models that help businesses anticipate changes in customer behavior or market conditions.
Healthcare Data Analyst: In the healthcare sector, these analysts interpret data related to patient care, treatment outcomes, and operational efficiency to improve health services and patient outcomes.
Consultant: Data analytics consultants provide expertise to organizations seeking to enhance their data-driven decision-making capabilities, often focusing on specific industries or data challenges.
