B.S. in Data Science

Entry requirements for undergraduate programs

Application Fees : US$ 60

1. Academic Requirements: To be eligible for undergraduate programs at UMass Dartmouth, applicants must have completed a bachelor's degree or its equivalent from a recognized institution. The university typically requires a minimum GPA equivalent to 75% or above for admission. 

2. English Language Proficiency:                                                                                                  

• IELTS (International English Language Testing System):
  • Overall Score: 6.5 or higher
  • No individual band score should be less than 6.0.
     
• TOEFL iBT (Test of English as a Foreign Language, Internet-Based Test):
  • Overall Score: 79 or higher
     
• DET (Duolingo English Test):
  • Score: 105 or higher
     
• PTE (Pearson Test of English):
  • Score: 53 or higher

SAT is not mandatory but recommended.

Scholarships for International Students at the University of Massachusetts Dartmouth

1. Merit-Based Scholarships: UMass Dartmouth offers various merit-based scholarships for international students based on academic achievement and qualifications. These scholarships may cover a portion of tuition costs and are awarded to students with exceptional academic records.

2. International Student Scholarships: The university provides specific scholarships exclusively for international students. These scholarships are designed to attract and support outstanding international talent. The eligibility criteria and award amounts may vary, and students should check with the admissions office for details.

3. Graduate Assistantships: Graduate students pursuing master's or doctoral degrees may have opportunities to work as graduate teaching or research assistants. These assistantships often include a stipend and a tuition waiver, which significantly reduce the cost of education.

4. Global UGRAD Program: UMass Dartmouth participates in exchange programs such as the Global Undergraduate Exchange Program (Global UGRAD). This program provides scholarships to international undergraduate students, allowing them to study in the United States for a semester or academic year.

5. External Scholarships and Sponsorships: International students can explore external scholarship opportunities provided by governments, foundations, and organizations in their home countries. Some countries offer scholarships to support their citizens studying abroad.

6. Fulbright Program: UMass Dartmouth is a participant in the Fulbright Program, which offers scholarships for international students to pursue graduate studies, conduct research, or teach in the United States. Eligible students can apply for Fulbright scholarships through the U.S. Department of State.

7. Financial Aid Guidance: The university's financial aid office assists international students in navigating the scholarship and financial aid application process. They provide guidance on finding scholarships, completing applications, and meeting deadlines.

8. Need-Based Aid: While need-based financial aid options may be limited for international students, UMass Dartmouth encourages students to complete the Free Application for Federal Student Aid (FAFSA) if eligible. FAFSA results may be considered for certain financial aid opportunities.

9. Assistantships and Research Grants: Graduate students in science, engineering, and technology fields may have access to research assistantships and grants funded by faculty research projects.

Graduates of UMass Dartmouth's B.S. in Data Science program are well-equipped with the technical skills, analytical mindset, and practical experience to excel in diverse career paths within the rapidly evolving field of data science. The program's interdisciplinary approach, practical focus, and industry relevance prepare graduates to thrive in a competitive job market and make meaningful contributions to organizations worldwide.

1. Data Scientist: With a strong foundation in data analysis, statistical modeling, and machine learning, graduates of UMass Dartmouth's B.S. in Data Science program are well-positioned to pursue careers as data scientists. They analyze large datasets to extract meaningful insights, develop predictive models, and drive data-driven decision-making processes across various industries.

2. Business Analyst: Data science graduates are equipped with the skills to interpret complex data sets and communicate findings effectively to business stakeholders. As business analysts, they play a crucial role in identifying trends, optimizing processes, and improving organizational performance through data-driven strategies and recommendations.

3. Data Engineer: Graduates with expertise in data management, database systems, and programming languages are suited for roles as data engineers. They design, build, and maintain data pipelines, databases, and infrastructure to ensure efficient data processing, storage, and retrieval for organizations.

4. Machine Learning Engineer: With knowledge of advanced machine learning algorithms and techniques, graduates can pursue careers as machine learning engineers. They develop and deploy machine learning models to solve complex problems, automate processes, and enhance product functionality in areas such as artificial intelligence, robotics, and natural language processing.

5. Business Intelligence Analyst: Data science graduates possess the analytical skills to extract actionable insights from data and create compelling visualizations and dashboards. As business intelligence analysts, they help organizations leverage data to monitor performance, identify opportunities, and make informed decisions that drive growth and innovation.

6. Data Analyst: Entry-level roles as data analysts are common career paths for graduates, where they analyze data, generate reports, and provide insights to support business objectives. They may work in various industries, including finance, healthcare, marketing, and government, assisting organizations in optimizing processes and achieving strategic goals.

7. Data Visualization Specialist: Graduates proficient in data visualization tools and techniques can pursue careers as data visualization specialists. They design intuitive and interactive visualizations to present complex data sets in a clear and understandable manner, enabling stakeholders to gain insights and make informed decisions.

8. Research Scientist: Some graduates may choose to pursue research-oriented roles, working in academia, government agencies, or research institutions. They contribute to advancements in data science, conducting research, publishing findings, and developing innovative methodologies to address complex challenges in areas such as healthcare, environmental science, and social sciences.