M.S. in Business Analytics & Project Management
UConn's M.S. in Business Analytics & Project Management program is designed for...
B.A. or B.S. in Statistics
Storrs, Stamford
INTAKE: August
Program Overview
The B.A. or B.S. in Statistics at the University of Connecticut (UConn) offers students a comprehensive foundation in the principles and techniques used to collect, analyze, and interpret data across various fields. This program is designed to equip students with the statistical knowledge and problem-solving skills required to make informed decisions based on data. The B.A. track is more focused on students who wish to apply their statistical knowledge in non-technical fields, such as social sciences or humanities, while the B.S. track is ideal for those interested in a more technical approach to statistics, preparing them for careers in industries like engineering, data science, or economics. Students are taught how to handle complex data sets, create statistical models, and use software tools to perform statistical analysis, making them highly sought after by employers in diverse sectors, including healthcare, business, and government.
STEM Designated: The B.A. or B.S. in Statistics program at UConn is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This distinction underscores the program’s strong emphasis on quantitative reasoning, data analysis, and computational techniques. STEM designation means that the program aligns with the growing demand for professionals who can apply mathematical and statistical knowledge to solve real-world problems. Graduates of the program are well-prepared to enter a wide range of technical fields, contributing to advancements in sectors like technology, healthcare, finance, and research. This STEM recognition also makes international students eligible for extended work opportunities in the U.S. after graduation under the STEM OPT (Optional Practical Training) extension.
Curriculum: The curriculum of the B.A. or B.S. in Statistics at UConn is designed to provide students with a solid foundation in both theoretical and applied statistics. Core courses include introductory and advanced statistical methods, probability theory, statistical computing, and data analysis. Students are introduced to a variety of statistical techniques used to analyze data, including regression analysis, hypothesis testing, and Bayesian statistics. The B.S. track includes more advanced coursework in calculus, linear algebra, and computer programming, preparing students for technical and research roles in the field. In addition to the core statistics courses, students can choose from electives that align with their interests, such as biostatistics, machine learning, time series analysis, or data visualization. The program emphasizes hands-on experience, and students frequently use statistical software such as R, SAS, and Python to perform analyses and interpret data.
Research Focus: UConn’s B.A. or B.S. in Statistics program places a strong emphasis on research, both in terms of statistical theory and applied research. Faculty members at UConn are involved in a wide range of research projects, spanning industries such as healthcare, environmental science, economics, and sports analytics. Students have opportunities to participate in research projects where they can apply their statistical skills to real-world data, gaining valuable experience in data collection, analysis, and interpretation. Research topics at UConn may include statistical modeling, machine learning, data mining, and experimental design. Students who are interested in research are encouraged to engage with faculty mentors and explore collaborative opportunities that will deepen their understanding of advanced statistical techniques and their application to diverse fields.
Industry Engagement: UConn’s B.A. or B.S. in Statistics program has strong connections to industries that rely heavily on data analysis and statistical modeling. Students have access to internships and cooperative education opportunities with leading organizations in finance, healthcare, technology, and government. Through these partnerships, students can gain hands-on experience in real-world data analysis, working on projects that have direct applications in the industry. Additionally, UConn’s Statistics Department hosts seminars, career fairs, and networking events that allow students to connect with professionals, recruiters, and alumni working in fields such as data science, market research, biostatistics, and financial modeling. These engagements provide students with the resources and opportunities needed to make a smooth transition from academic studies to professional careers.
Global Perspective: The B.A. or B.S. in Statistics at UConn incorporates a global perspective into its curriculum and research opportunities. Statistical methods are applicable across cultures and countries, and the program encourages students to understand the role of data in global issues such as public health, climate change, economic development, and social policy. UConn’s faculty and students work on collaborative research projects with international partners, giving students the opportunity to engage with global data challenges. In addition, UConn offers study abroad programs and international internships that allow students to gain experience working with data in different cultural and economic contexts. The program prepares students to think critically about data and its implications on a global scale, ensuring that graduates are ready to tackle data-related challenges worldwide.
Location
Storrs, Stamford
Score
IELTS 6.5
Tuition Fee
USD 39678
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- DET (Duolingo English Test): Minimum score of 100.
The University of Connecticut (UConn) offers a range of merit-based scholarships to support international students in their academic journey. These scholarships are designed to recognize exceptional academic achievements and leadership qualities.
Global Excellence Award: This scholarship is awarded to international students who have demonstrated outstanding academic performance and leadership both in and outside the classroom.
Global Distinction Award: Similar to the Global Excellence Award, this scholarship recognizes international students with exceptional academic records and leadership abilities.
Global Leader Award: This award honors international students who have shown exceptional academic achievement and leadership qualities.
Graduates of the B.A. or B.S. in Statistics program at the University of Connecticut (UConn) are well-equipped for a wide range of career opportunities in data analysis, research, and applied statistics across various industries. The demand for professionals with strong statistical and data analysis skills is rapidly increasing, making this degree highly valuable in today’s job market.
Data Analyst: Data analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions. With their statistical expertise, UConn graduates can work as data analysts in sectors such as healthcare, finance, retail, and technology. They use software tools like R, Python, and SQL to manipulate data, perform statistical analysis, and create reports that inform business strategies.
Statistical Consultant: Statistical consultants provide expertise to businesses, governments, or research institutions in interpreting complex data. Graduates of UConn’s statistics program can work as consultants, offering advice on experimental design, data collection, and statistical modeling to improve the decision-making process. Statistical consultants may work independently or as part of consulting firms in a variety of industries.
Biostatistician: Biostatisticians apply statistical methods to the analysis of data related to health, medicine, and biology. UConn graduates can work in public health departments, pharmaceutical companies, medical research organizations, or hospitals. They analyze clinical trial data, epidemiological studies, and genetic research to inform medical decisions, drug development, and healthcare policies.
Financial Analyst: Financial analysts use statistical techniques to assess financial data, forecast trends, and provide investment recommendations. Graduates with a background in statistics can work in the financial services industry, including investment banks, insurance companies, and hedge funds. They help organizations assess risk, evaluate stock performance, and develop financial strategies.
Market Research Analyst: Market research analysts analyze data related to consumer preferences, market trends, and competitive positioning to help businesses understand market dynamics. Graduates of the B.A. or B.S. in Statistics program at UConn are equipped to work in market research, using statistical methods to design surveys, analyze consumer behavior, and make strategic recommendations for companies.
Actuary: Actuaries use mathematical and statistical models to assess risk in industries such as insurance, pension funds, and healthcare. UConn statistics graduates can pursue actuarial careers, analyzing data to determine the likelihood of future events, such as accidents or natural disasters, and helping companies develop insurance policies and financial plans based on these predictions.
Data Scientist: Data scientists utilize advanced statistical methods, machine learning, and programming to extract insights from large and complex datasets. Graduates of the B.S. in Statistics program at UConn are well-prepared to enter the field of data science, working for tech companies, research organizations, or government agencies. Data scientists play a critical role in transforming raw data into actionable insights that inform decision-making in areas such as artificial intelligence, big data, and predictive analytics.
Quantitative Analyst: Quantitative analysts (or "quants") apply mathematical models and statistical techniques to analyze financial markets and make investment decisions. Graduates with a strong background in statistics can work as quants in the financial sector, particularly in hedge funds, investment banks, or asset management firms. They are involved in designing algorithms for high-frequency trading, risk management, and portfolio optimization.
Research Scientist (Statistics/Applied Research): Graduates interested in research can pursue roles as research scientists, working in academic, government, or private sector research institutions. As research scientists, they apply their statistical expertise to design experiments, analyze data, and contribute to studies in fields such as social sciences, economics, engineering, and environmental science.
Epidemiologist: Epidemiologists use statistical methods to study the distribution and determinants of health-related events in populations. UConn statistics graduates interested in public health can become epidemiologists, working for public health agencies, universities, or non-governmental organizations to track disease outbreaks, analyze health trends, and design public health interventions.
Operations Research Analyst: Operations research analysts use mathematical and statistical techniques to help organizations optimize their operations. Graduates with a degree in statistics can pursue careers in logistics, transportation, manufacturing, and supply chain management. They analyze data to improve efficiency, reduce costs, and optimize decision-making in complex systems.
Health Data Analyst: Health data analysts work in healthcare organizations to analyze medical records, patient data, and clinical outcomes. UConn graduates with a background in statistics can help hospitals, clinics, and research organizations improve patient care by identifying trends, forecasting healthcare needs, and measuring the effectiveness of medical treatments and interventions.
Education and Academia: For those who are passionate about teaching and education, a degree in statistics can also lead to opportunities in academia. Graduates can pursue advanced degrees (such as a Master’s or Ph.D.) and become professors or educators in universities, colleges, or high schools. They can teach statistics, data science, or related subjects, and may also engage in research projects that contribute to the advancement of the field.
Government Statistician: Government agencies at the federal, state, or local level rely on statisticians to collect and analyze data for policy-making, public services, and national statistics. UConn statistics graduates can work in government organizations such as the U.S. Census Bureau, the Centers for Disease Control and Prevention (CDC), or the Federal Reserve, using statistical methods to support government decision-making and programs.
Technology/Software Developer (Data Analytics): Technology companies require skilled professionals who can develop software solutions that incorporate statistical methods for data analysis and modeling. UConn graduates with a B.S. in Statistics can pursue roles as software developers or data engineers, working on building tools and platforms that allow businesses to leverage big data, machine learning algorithms, and predictive analytics.
