M.S. in Accounting
The Master of Science (M.S.) in Accounting program at SUNY Geneseo is designed to provi...
B.S. in Data Analytics
Geneseo
INTAKE: Jan & Aug
Program Overview
The B.S. in Data Analytics at SUNY Geneseo is designed to equip students with the essential skills to analyze and interpret complex data. This program focuses on developing proficiency in statistical analysis, data mining, and data visualization, preparing graduates for a variety of roles in the rapidly evolving field of data analytics. Students engage with cutting-edge tools and methodologies, making them competitive candidates in the job market.
Curriculum: The curriculum of the B.S. in Data Analytics includes a blend of core courses in statistics, programming, and data management. Students delve into topics such as data mining, machine learning, and predictive analytics, with hands-on experience through projects and case studies. Additionally, electives allow students to tailor their education to their interests, such as social media analytics or business intelligence.
Research Focus: Research is a significant component of the B.S. in Data Analytics program at SUNY Geneseo. Students have opportunities to engage in faculty-led research projects that explore innovative applications of data analytics across various disciplines, including healthcare, business, and social sciences. This research focus not only enhances learning but also fosters critical thinking and problem-solving skills.
Industry Engagement: SUNY Geneseo emphasizes industry engagement through partnerships with local businesses and organizations. Students benefit from internships and collaborative projects that provide real-world experience and networking opportunities. These connections help students understand industry trends and prepare for successful careers in data analytics.
Global Perspective: The program also integrates a global perspective, encouraging students to examine data analytics in an international context. Courses address the implications of data analysis in global markets, emphasizing cultural considerations and ethical practices. This global viewpoint is essential for students who aim to work in diverse environments and tackle worldwide challenges.
Location
Geneseo
Score
IELTS 6.5
Tuition Fee
USD 18837
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 75 or higher.
- PTE: Overall score of 58 or higher.
- DET (Duolingo English Test): Minimum score of 105.
SUNY Geneseo offers various scholarships to international students to support their education.
International Student Scholarships: SUNY Geneseo typically provides scholarships specifically designed for international students. These scholarships may be merit-based and consider factors such as academic achievements, leadership qualities, and extracurricular involvement. The awards aim to recognize and support outstanding international students pursuing their education at Geneseo.
Cultural Diversity Scholarship: SUNY Geneseo values cultural diversity, and as such, they may provide scholarships to international students who actively contribute to fostering a diverse and inclusive campus environment. These scholarships aim to recognize and celebrate the unique perspectives that international students bring to the university community.
Departmental Scholarships: Some academic departments at SUNY Geneseo may offer scholarships for international students within specific fields of study. These scholarships could be based on academic merit, dedication to the field, or potential contributions to the department.
Leadership and Service Scholarships: SUNY Geneseo may have scholarships for international students who demonstrate outstanding leadership skills and a community service. These awards aim to recognize students who make positive contributions to both the campus and wider communities.
Foundation Scholarships: The university's foundation or alumni association may sponsor scholarships for international students. These scholarships could be supported by donations from alumni and friends of the university and may have various eligibility criteria.
External Scholarship Opportunities: International students at SUNY Geneseo may also explore external scholarship opportunities offered by organizations, foundations, and government agencies. The university's international student office or financial aid office can provide information on such opportunities.
Graduates of the B.S. in Data Analytics from SUNY Geneseo are well-equipped to pursue a variety of exciting career paths. They can find opportunities in sectors such as business, healthcare, finance, and technology.
Data Analyst: Professionals in this role interpret data, analyze results, and provide actionable insights to help organizations make informed decisions.
Business Intelligence Analyst: These analysts use data analysis tools to identify trends and develop strategies that improve business performance.
Data Scientist: With advanced skills in statistical modeling and machine learning, data scientists develop algorithms and predictive models to solve complex problems.
Quantitative Analyst: Often found in financial institutions, quantitative analysts apply mathematical and statistical techniques to analyze financial data and develop investment strategies.
Market Research Analyst: Graduates can work in marketing departments, where they analyze market conditions to understand potential sales of products or services.
Data Engineer: These professionals design, build, and maintain the systems that allow for the collection and processing of data, ensuring data quality and accessibility.
Healthcare Data Analyst: In this growing field, analysts work with health-related data to improve patient outcomes and streamline healthcare operations.
Operations Analyst: Operations analysts examine an organization’s internal processes and use data to recommend improvements for efficiency and effectiveness.
