B.S. in Data Science & Statistics

Springfield, Massachusetts

 

INTAKE: Jan & Aug

Program Overview

The B.S. in Data Science & Statistics at Western New England University prepares students to analyze complex data, uncover trends, and make data-driven decisions across various fields, including business, healthcare, and technology. This interdisciplinary program combines statistical theory with advanced computational techniques, equipping students with the skills needed to address real-world challenges using data.

Curriculum: The curriculum is designed to provide a strong foundation in mathematics, statistics, and computer science, covering essential topics such as probability, statistical inference, data visualization, and machine learning. Students engage in coursework on programming languages like Python and R, as well as specialized data science tools used in industry. The curriculum includes both theoretical and practical applications, with project-based learning to build hands-on experience and expertise.

Research Focus: The program emphasizes research opportunities, encouraging students to participate in projects that apply statistical methods to real-world issues. With faculty mentorship, students explore areas like predictive modeling, big data analytics, and artificial intelligence, allowing them to develop strong analytical skills and contribute to ongoing research in data science. This research-oriented approach not only enhances their academic experience but also prepares them for advanced studies and specialized careers in data science.

Industry Engagement: Western New England University’s B.S. in Data Science & Statistics program integrates industry engagement by connecting students with data professionals and local companies through internships, seminars, and networking events. Partnerships with businesses, healthcare institutions, and tech firms provide students with practical experience and insight into data science applications. This exposure prepares them to transition seamlessly into the workforce, equipped with relevant skills and professional connections.

Global Perspective: Recognizing the global impact of data science, the program incorporates a global perspective, addressing issues like international data privacy laws, cross-cultural data analysis, and global case studies in data usage. By understanding data’s role in an interconnected world, students are prepared to apply their knowledge in diverse, multinational contexts and collaborate effectively on data projects across borders.

Pollster Education

Location

Springfield, Massachusetts

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

USD 44680

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 74 or higher.
  • PTE: Overall score of 50 or higher.
  • DET (Duolingo English Test): Minimum score of 100.

Western New England University is fostering a diverse and inclusive academic community, the university offers a range of scholarships specifically designed for international students. These scholarships are aimed at recognizing and rewarding academic excellence, leadership, and contributions to the university community.  

Global Leadership Award: The Global Leadership Award is a prestigious scholarship that honors international students with exceptional academic records and demonstrated leadership skills. This merit-based scholarship reflects the university's nurturing global leaders and providing financial assistance to those who have a positive impact on their communities.

Presidential Scholarship: Western New England University's Presidential Scholarship is a highly competitive award that attracts outstanding international students. This scholarship covers a significant portion of tuition costs, acknowledging academic excellence and supporting students on their educational journey.

Dean's Scholarship for International Students: The Dean's Scholarship is designed to recognize and support international students who have achieved notable academic success. This scholarship contributes to creating a diverse and vibrant learning environment by encouraging high-achieving students from around the world.

International Merit Scholarship: Western New England University awards the International Merit Scholarship to international students who have demonstrated exceptional academic achievements, leadership potential, and involvement in extracurricular activities. This scholarship aims to make quality education accessible to deserving students.

Cultural Diversity Scholarship: The Cultural Diversity Scholarship acknowledges the importance of cultural richness within the university community. This scholarship is awarded to international students who contribute to the cultural diversity of Western New England University, fostering an inclusive and globally aware campus environment.

Talent-Based Scholarships: Beyond academic achievements, the university recognizes and supports international students with outstanding talents in various areas, including arts, athletics, and community service. Talent-based scholarships provide financial assistance to those who have demonstrated exceptional skills and contributions.

Community Engagement Scholarship: Western New England University values students who actively engage with the local and university communities. The Community Engagement Scholarship is awarded to international students who demonstrate community service and civic responsibility.

Graduates of the B.S. in Data Science & Statistics program at Western New England University are well-prepared for a variety of high-demand careers where data analysis, problem-solving, and statistical expertise are essential.

Data Scientist: Graduates often pursue careers as data scientists, where they analyze and interpret complex data sets, build predictive models, and provide data-driven insights for decision-making in industries such as technology, finance, and healthcare.

Data Analyst: Many graduates start as data analysts, using statistical tools to organize, analyze, and interpret data to help organizations make informed business decisions. This role often involves data cleaning, visualization, and reporting.

Business Intelligence Analyst: Business intelligence analysts use data analytics to identify trends and patterns that support strategic business planning. This role focuses on using data to drive business performance, optimize operations, and forecast growth.

Statistical Analyst: With strong quantitative skills, graduates can become statistical analysts, applying statistical techniques to gather insights from data in sectors like market research, pharmaceuticals, and public health.

Machine Learning Engineer: For those interested in technology, a role as a machine learning engineer involves building algorithms and models that allow computers to learn from data. This position requires a blend of data science skills and programming expertise.

Quantitative Analyst: Also known as “quants,” quantitative analysts work primarily in finance, using mathematical and statistical models to evaluate financial data and predict market trends.

Data Engineer: Graduates can work as data engineers, responsible for designing, building, and maintaining data pipelines and architecture. This role ensures data is organized and accessible for analytics and machine learning applications.

Health Data Analyst: Health data analysts work with healthcare organizations to interpret medical data and improve patient outcomes, quality of care, and operational efficiency. This role is essential for hospitals, research institutions, and insurance companies.

Actuarial Analyst: Actuarial analysts use statistics and data modeling to assess financial risks, primarily for insurance and finance companies. This role combines data science skills with actuarial knowledge to forecast risks and set pricing models.

Research Scientist: For those inclined toward academia or advanced research, a role as a research scientist allows graduates to conduct in-depth studies and publish findings in areas such as artificial intelligence, bioinformatics, and environmental science.


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