M.S. in Biomedical Engineering
The University of Bridgeport, situated in the vibrant city of Bridgeport, Connecticut, ...
Bridgeport, Connecticut
INTAKE: Jan & Aug
The B.S. in Data Analytics at the University of Bridgeport is designed to equip students with the skills and knowledge needed to harness the power of data in various industries. This program combines theoretical foundations with practical applications, preparing students for careers in data-driven decision-making and analysis.
Curriculum: The curriculum of the B.S. in Data Analytics covers essential topics such as data mining, statistical analysis, database management, and predictive modeling. Students also learn programming languages like Python and R, and gain proficiency in tools and technologies used in data analytics.
Research Focus: The program emphasizes hands-on research projects that allow students to apply data analytics techniques to real-world problems. Research areas may include big data analytics, business intelligence, machine learning applications, and data visualization techniques.
Industry Engagement: University of Bridgeport fosters strong ties with industry leaders through internships, collaborative projects, and guest lectures by industry experts. Students have opportunities to work on real-world data sets and gain practical experience in solving industry-specific challenges.
Global Perspective: With a diverse student body and faculty from around the world, the University of Bridgeport offers a global perspective in data analytics. Students learn to analyze data in diverse cultural and organizational contexts, preparing them for careers in multinational corporations and global markets.
Bridgeport, Connecticut
IELTS 6
USD 32860
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:
Scholarships available to international students at the University of Bridgeport (UB), USA.
International Ambassador Scholarships: UB offers the International Ambassador Scholarships, which are competitive merit-based scholarships. These scholarships are available to both undergraduate and graduate international students. The amount awarded varies but can significantly offset tuition costs.
Academic Excellence Scholarships: These scholarships are awarded to international undergraduate students based on their academic achievements. The scholarships recognize outstanding academic performance, and the amounts vary.
Athletic Scholarships: For international students with exceptional athletic talents, UB offers athletic scholarships. These scholarships are awarded to student-athletes who participate in various sports.
Cultural Diversity Scholarship: This scholarship aims to promote diversity and cultural exchange on campus. It's awarded to international students who have demonstrated a commitment to promoting cultural understanding and diversity.
Honors Program Scholarships: International students who are part of UB's Honors Program may be eligible for scholarships that recognize their academic achievements and participation in the program.
Departmental Scholarships: Some academic departments and colleges within UB offer scholarships specific to their fields of study. These scholarships may be available to both domestic and international students, depending on the department's policies.
Private Scholarships: UB encourages international students to explore external scholarship opportunities, such as those offered by foundations, organizations, and governments. The university provides guidance on finding these scholarships.
Global Engagement Scholarships: UB encourages international students to participate in global engagement activities, such as study abroad programs, internships, and research projects. These experiences can be supported by scholarships and grants.
Graduates of the B.S. in Data Analytics program at the University of Bridgeport are prepared for a variety of high-demand roles in the rapidly growing field of data analytics.
Data Analyst: Analyze complex datasets to provide insights and support decision-making processes. Data analysts work across various industries, interpreting data to help businesses understand trends and patterns.
Business Intelligence Analyst: Develop and manage BI solutions, including dashboards and reports. BI analysts focus on improving business performance by leveraging data-driven insights.
Data Scientist: Use statistical methods, algorithms, and machine learning techniques to analyze large datasets. Data scientists create predictive models and provide actionable insights for strategic planning.
Data Engineer: Design, build, and maintain data pipelines and architectures. Data engineers ensure that data systems are scalable, reliable, and efficient, enabling seamless data flow within organizations.
Data Visualization Specialist: Create visual representations of data to communicate insights effectively. This role involves using visualization tools like Tableau or Power BI to present data in a clear and engaging manner.
Machine Learning Engineer: Develop and implement machine learning models and algorithms. This role focuses on automating data analysis processes and creating systems that can learn and adapt over time.
Quantitative Analyst: Apply mathematical and statistical methods to financial and risk management problems. Quantitative analysts, or "quants," often work in finance, developing models to guide investment decisions.
Data Governance Specialist: Ensure the quality, integrity, and security of data within an organization. This role involves developing policies and procedures to manage data effectively and comply with regulations.
Market Research Analyst: Analyze market trends, consumer behavior, and competitive landscapes. Market research analysts help businesses make informed marketing and product development decisions based on data insights.
Operations Analyst: Use data to improve business operations and processes. Operations analysts focus on optimizing efficiency and productivity by analyzing operational data and identifying areas for improvement.
Healthcare Data Analyst: Work in the healthcare sector to analyze patient data, improve healthcare delivery, and support clinical decision-making. This role involves handling sensitive data and ensuring compliance with healthcare regulations.
E-commerce Analyst: Analyze data related to online sales and customer behavior to optimize e-commerce strategies. E-commerce analysts help businesses increase online sales and improve the customer experience.