M.S. in Business Analytics & Project Management
UConn's M.S. in Business Analytics & Project Management program is designed for...
B.S. in Business and Data Analytics
Hartford, Stamford, Waterbury
INTAKE: August
Program Overview
The B.S. in Business and Data Analytics at the University of Connecticut (UConn) is a cutting-edge program designed to equip students with the analytical, technical, and business skills needed to make data-driven decisions in today’s rapidly evolving business landscape. This interdisciplinary program integrates business principles with advanced data analytics techniques, preparing students to analyze large datasets, interpret business trends, and provide strategic insights that drive business growth. With the increasing demand for data-driven decision-making across industries, UConn’s Business and Data Analytics program ensures graduates are highly competitive in fields such as finance, marketing, operations, and information technology.
Curriculum: The curriculum for the B.S. in Business and Data Analytics provides students with a strong foundation in business fundamentals, statistical analysis, programming, and data visualization. Core courses include Business Statistics, Data Mining, Machine Learning for Business, Predictive Analytics, Database Management, Financial Analytics, Marketing Analytics, and Business Intelligence. Students gain proficiency in programming languages such as Python, R, and SQL, as well as data visualization tools like Tableau and Power BI. The program also incorporates hands-on projects, real-world case studies, and internship opportunities to help students apply their analytical skills in practical business scenarios.
Research Focus: UConn’s Business and Data Analytics program emphasizes research in areas such as artificial intelligence in business, big data analytics, consumer behavior prediction, and supply chain optimization. Faculty members engage in cutting-edge research to explore innovative methods for leveraging data in strategic decision-making. Students have opportunities to participate in research projects, collaborate with industry professionals, and contribute to studies on market trends, economic forecasting, and data-driven business strategies. The university’s research centers provide a dynamic environment for students to develop analytical models and explore new technological advancements in business analytics.
Industry Engagement: The B.S. in Business and Data Analytics program at UConn maintains strong industry ties, allowing students to gain real-world experience through internships, corporate partnerships, and networking opportunities. The university collaborates with Fortune 500 companies, consulting firms, financial institutions, and tech startups to provide students with access to industry experts and hands-on learning experiences. UConn hosts industry-focused events, business analytics competitions, and guest lectures, ensuring that students develop practical skills that align with current market demands. These industry connections also enhance job placement opportunities for graduates in roles such as data analyst, business intelligence specialist, and financial risk analyst.
Global Perspective: With businesses increasingly relying on global data insights, UConn’s Business and Data Analytics program integrates a global perspective into its curriculum. Courses cover topics such as international business analytics, global market trends, and cross-cultural consumer behavior. Study abroad programs and international research opportunities allow students to gain exposure to different economic systems and business environments. The program also emphasizes ethical considerations and responsible data usage, ensuring that graduates can navigate the complexities of data privacy, cybersecurity, and regulatory compliance in a global business context.
Location
Hartford, Stamford, Waterbury
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.S. in Business and Data Analytics program at the University of Connecticut (UConn) are well-equipped to pursue a variety of exciting careers in the growing field of data-driven business decision-making. The combination of business fundamentals and advanced analytical techniques opens up numerous career paths across industries such as finance, marketing, technology, healthcare, and more.
Data Analyst: Data analysts interpret large sets of data to help businesses make informed decisions. They collect, process, and analyze data using statistical tools and programming languages like Python and R. Data analysts often work in industries like marketing, finance, and healthcare, where their work helps optimize business operations, improve customer insights, and predict future trends.
Business Intelligence Analyst: Business intelligence analysts focus on using data to help companies improve decision-making by providing actionable insights. They analyze business performance data, generate reports, and create dashboards that help business leaders understand key metrics. Business intelligence analysts typically work in industries such as finance, retail, and consulting.
Financial Analyst: Financial analysts assess financial data, develop forecasts, and provide recommendations to help businesses make investment decisions. They use data analytics to analyze market trends, investment opportunities, and financial risks. Financial analysts often work in investment banks, financial consulting firms, and corporate finance departments.
Marketing Analyst: Marketing analysts use data to develop insights into customer behavior, campaign performance, and market trends. They help companies understand their target audience, optimize marketing strategies, and measure the effectiveness of their campaigns. Marketing analysts typically work in advertising agencies, e-commerce, and large corporations.
Operations Analyst: Operations analysts focus on improving business efficiency by analyzing operational processes, identifying inefficiencies, and recommending improvements. They use data analytics to optimize supply chains, inventory management, and overall operations. Operations analysts work in manufacturing, logistics, and service industries.
Data Scientist: Data scientists use advanced techniques such as machine learning and predictive modeling to analyze large datasets and develop models that can forecast trends and behaviors. They work with complex data sets to uncover hidden patterns and insights that inform strategic decisions. Data scientists are in high demand in tech companies, research organizations, and financial institutions.
Business Analytics Consultant: Business analytics consultants provide expert advice to organizations on how to leverage data analytics to solve business challenges. They work with clients to identify business goals, gather data, and develop strategies for using data to optimize performance. Consultants typically work for consulting firms or as independent contractors.
Supply Chain Analyst: Supply chain analysts focus on improving the efficiency and effectiveness of supply chain operations. They use data analytics to track inventory levels, optimize transportation routes, and manage vendor relationships. Supply chain analysts work in industries such as manufacturing, retail, and logistics.
Risk Analyst: Risk analysts assess potential risks to a business, using data to predict and mitigate risks in areas like finance, operations, and cybersecurity. They analyze patterns and trends to develop risk management strategies, helping organizations safeguard their assets and comply with regulatory requirements. Risk analysts often work in banking, insurance, and corporate risk management departments.
Healthcare Data Analyst: Healthcare data analysts use data to improve patient outcomes, reduce costs, and streamline healthcare operations. They analyze patient data, hospital performance, and industry trends to assist healthcare organizations in making data-driven decisions. Healthcare data analysts typically work for hospitals, health insurance companies, and healthcare technology firms.
Customer Insights Analyst: Customer insights analysts analyze consumer data to understand customer preferences, behaviors, and needs. Their insights help companies develop customer-centric strategies, improve product offerings, and enhance customer experiences. Customer insights analysts are commonly employed by consumer goods companies, tech firms, and retail businesses.
Product Manager (Data-Driven): Product managers with a background in data analytics use data to guide the development and improvement of products. They use analytics to assess customer needs, measure product performance, and define product strategies. Product managers in data-driven roles work in industries such as technology, consumer goods, and SaaS companies.
Data Engineer: Data engineers focus on the architecture and infrastructure needed to process and store large volumes of data. They work with data scientists and analysts to ensure that data is clean, accessible, and available for analysis. Data engineers typically work in technology companies, research organizations, and financial institutions.
Artificial Intelligence (AI) Analyst: AI analysts apply data analytics techniques to design and implement artificial intelligence systems for business applications. They work on projects that involve machine learning, predictive analytics, and automation to improve business processes and decision-making. AI analysts are in high demand in industries such as technology, finance, and healthcare.
Market Research Analyst: Market research analysts collect and analyze data about consumer preferences, market trends, and competitive landscapes. They use data to provide businesses with insights into their target markets, helping them develop effective marketing strategies and competitive advantages. Market research analysts work in various industries, including advertising, consulting, and e-commerce.
E-commerce Analyst: E-commerce analysts use data analytics to optimize online sales strategies, website performance, and customer experience. They analyze data from online platforms, track customer behavior, and recommend strategies for increasing sales and improving user experience. E-commerce analysts typically work in online retail, tech companies, and digital marketing agencies.
