Masters of Business Administration: Full-Time (MBA)
The University of New Hampshire (UNH) offers a dynamic and comprehensive Master of Busi...
B.S. in Analytics and Data Science
Durham
INTAKE: Jan & Aug
Program Overview
The Bachelor of Science in Analytics and Data Science at the University of New Hampshire (UNH) provides students with a comprehensive education in the rapidly growing field of data science. This program is designed to equip students with the skills needed to analyze complex datasets, make data-driven decisions, and solve real-world problems. Through a blend of theoretical knowledge and practical application, graduates are prepared for careers in various industries that rely on data analytics and computational techniques.
STEM-Designated: The B.S. in Analytics and Data Science at UNH is a STEM-designated program, highlighting its focus on Science, Technology, Engineering, and Mathematics. This designation emphasizes the program’s rigorous approach to mathematical and computational methods and its alignment with the growing demand for professionals skilled in data analysis and statistical techniques. As a STEM program, it provides international students with opportunities for extended Optional Practical Training (OPT), allowing them to gain valuable work experience in the United States.
Curriculum: The curriculum for the B.S. in Analytics and Data Science at UNH is structured to offer a strong foundation in both the theoretical and practical aspects of data science. Core courses include data mining, statistical analysis, machine learning, data visualization, and programming in languages such as Python and R. The program also covers advanced topics like big data technologies and predictive analytics. Students engage in hands-on projects and use real-world datasets to develop their analytical skills, ensuring they are well-prepared for the demands of the data science field.
Research Focus: Research in the B.S. in Analytics and Data Science program at UNH centers around innovative data analysis techniques and their applications across various domains. Faculty and students engage in research projects that explore advanced topics such as artificial intelligence, data-driven decision-making, and the ethical implications of data use. The program encourages students to participate in research initiatives that address current challenges in data science, contributing to advancements in the field and providing solutions to complex problems.
Industry Engagement: The program emphasizes strong industry engagement through internships, cooperative education opportunities, and collaborations with businesses and organizations. Students have the chance to work on real-world projects, gain practical experience, and build professional networks. The program also organizes workshops, guest lectures, and industry events that connect students with data science professionals and potential employers. These opportunities help students apply their skills in a practical setting and enhance their career prospects.
Global Perspective: The B.S. in Analytics and Data Science program at UNH incorporates a global perspective by examining how data science is applied across different industries and cultures. Students are encouraged to explore international case studies, participate in global research projects, and consider the global impact of data-driven decisions. The program’s international focus prepares students to work in diverse environments and address global challenges using data science methodologies.
Location
Durham
Score
IELTS 6.5
Tuition Fee
USD 39851
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 80 or higher.
- PTE: Overall score of 59 or higher.
- DET (Duolingo English Test): Overall score of 120.
Scholarships for International Students at the University of New Hampshire (UNH)
International Presidential Scholarship: UNH offers the International Presidential Scholarship to academically outstanding international students entering the university as first-year students. This scholarship is merit-based and provides substantial financial support to recipients. Eligibility criteria include high academic achievement and leadership qualities.
Dean's Scholarship for International Students: The Dean's Scholarship is another merit-based scholarship designed to recognize exceptional academic achievements of international students. It is available for both undergraduate and graduate students. The scholarship amount may vary based on the student's qualifications.
Transfer Scholarships: UNH provides scholarships for international transfer students. These scholarships are awarded based on the student's previous academic performance at their current or previous institution. Eligibility criteria and scholarship amounts may vary.
UNH Foundation Scholarships: The university offers a variety of foundation scholarships to international students based on academic merit, leadership, and other criteria. These scholarships are available for both undergraduate and graduate students and cover a range of fields of study.
Departmental Scholarships: Many academic departments at UNH offer scholarships specifically for students majoring in their respective fields. These scholarships may have specific academic requirements and application processes, so it's essential for students to check with their departments for opportunities.
Private Scholarships: International students can explore external scholarship opportunities, such as those offered by private organizations, foundations, and government agencies from their home countries.
Work-Study Programs: While not a scholarship in the traditional sense, international students at UNH may have the opportunity to participate in on-campus work-study programs. These programs allow students to work part-time jobs on campus to help cover their living expenses.
International Education Scholarships: Some scholarships are specifically designated for international education and cultural exchange programs. These scholarships may support international students' participation in study abroad experiences or cultural exchange initiatives.
Fulbright Scholarships: UNH participates in the Fulbright Program, which provides opportunities for international students to study, teach, or conduct research in the United States. Eligibility and application requirements for Fulbright scholarships can vary by country.
It's important for international students to review the specific eligibility criteria, application deadlines, and application procedures for each scholarship opportunity.
Graduates of the Bachelor of Science in Analytics and Data Science from the University of New Hampshire (UNH) are well-equipped to enter a variety of exciting and rapidly growing fields. The program's focus on data analysis, statistical methods, and computational techniques prepares students for numerous career paths across different industries.
Data Scientist: Data Scientists use statistical analysis, machine learning, and data visualization to extract insights from complex datasets. They work in various sectors, including technology, finance, healthcare, and marketing, to develop data-driven solutions and support strategic decision-making.
Data Analyst: Data Analysts focus on interpreting data to help organizations make informed decisions. They use tools like SQL, Excel, and visualization software to analyze trends, generate reports, and provide actionable recommendations based on data analysis.
Business Intelligence Analyst: Business Intelligence Analysts design and implement strategies to collect and analyze business data. They create dashboards and reports to track performance metrics and support business strategies, working in industries such as retail, finance, and consulting.
Machine Learning Engineer: Machine Learning Engineers develop and deploy algorithms and models that enable systems to learn from data. They work on applications such as predictive analytics, natural language processing, and recommendation systems in sectors like technology and finance.
Quantitative Analyst: Also known as "Quants," Quantitative Analysts apply mathematical models and statistical techniques to financial data to support investment decisions and risk management. They often work in finance, investment banks, and hedge funds.
Data Engineer: Data Engineers design and build the infrastructure required for collecting, storing, and processing data. They work with large-scale data systems and ensure that data pipelines are efficient and reliable, supporting roles in various industries including technology and healthcare.
Research Scientist (Data Science): Research Scientists in data science conduct experiments and develop new algorithms or methods for analyzing data. They work in academic institutions, research labs, or private industry, contributing to advancements in data science and related fields.
Operations Analyst: Operations Analysts use data to improve business operations and efficiency. They analyze operational data, identify bottlenecks, and propose solutions to enhance processes and productivity in industries such as manufacturing, logistics, and services.
Healthcare Data Analyst: Healthcare Data Analysts focus on analyzing data related to patient care, medical outcomes, and healthcare operations. They work in hospitals, research institutions, and health insurance companies, using data to improve healthcare delivery and outcomes.
Marketing Analyst: Marketing Analysts leverage data to understand consumer behavior, evaluate marketing strategies, and optimize campaigns. They work in marketing departments, advertising agencies, and market research firms to drive business growth through data insights.
