M.S. in Business Analytics & Project Management
UConn's M.S. in Business Analytics & Project Management program is designed for...
B.A. in Applied Data Analysis
Storrs
INTAKE: August
Program Overview
The B.A. in Applied Data Analysis at UConn is designed to give students a strong foundation in the principles of data analysis, focusing on practical applications of statistical techniques and computational methods. The program offers an interdisciplinary approach, combining coursework from multiple departments to ensure students are well-versed in both the theoretical and practical aspects of data analysis. Graduates of this program are prepared to work in sectors such as business, healthcare, government, finance, and technology, where they can use data to inform decisions and drive innovation.
Curriculum: The curriculum for the B.A. in Applied Data Analysis is comprehensive and hands-on, with a balance between theory and application. Students are introduced to core areas such as data collection, data cleaning, statistical analysis, and machine learning. Key courses include Probability and Statistics, Data Visualization, Data Mining, and Database Management. Additionally, students have the opportunity to explore more specialized topics like artificial intelligence, big data, and predictive analytics. The curriculum emphasizes critical thinking, problem-solving, and the ability to communicate complex data findings to both technical and non-technical stakeholders. The program also includes opportunities for internships and real-world data analysis projects, allowing students to apply what they have learned in practical settings.
Research Focus: UConn encourages students in the Applied Data Analysis program to engage in research, helping to push the boundaries of data science. The research focus spans areas such as machine learning algorithms, data privacy and security, social network analysis, and statistical modeling. Faculty members at UConn are involved in cutting-edge research, and students are often invited to collaborate on these projects, gaining valuable insights into emerging trends and methodologies in data analysis. The research initiatives not only benefit the academic community but also provide students with the chance to work on high-impact projects that address real-world challenges in diverse industries.
Industry Engagement: UConn’s B.A. in Applied Data Analysis program offers robust industry engagement, ensuring that students gain practical experience and build professional networks. The university partners with a wide range of organizations, from technology startups to multinational corporations, to provide students with internship opportunities and consulting projects. These partnerships give students the chance to work with industry leaders on real-world data challenges, enhancing their technical and professional skills. UConn's strong alumni network also plays a key role in fostering connections between students and industry professionals, facilitating job placement and career advancement opportunities.
Global Perspective: The B.A. in Applied Data Analysis program at UConn incorporates a global perspective, preparing students to work in an interconnected world. The curriculum includes case studies and examples from international markets, emphasizing how data analysis can address global issues such as climate change, healthcare disparities, and economic development. UConn's diverse student body and faculty, along with its international collaborations, create a learning environment that promotes cross-cultural understanding and a broad view of how data is used to solve global challenges. This perspective is crucial for students who aspire to work in multinational organizations or contribute to global data-driven initiatives.
Location
Storrs
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. in Applied Data Analysis program at the University of Connecticut (UConn) are well-equipped to pursue a wide range of careers in data-driven industries. The program provides students with the technical skills, statistical knowledge, and analytical expertise necessary to excel in various fields, including business, healthcare, finance, government, and technology.
Data Analyst: Data analysts use statistical techniques and software tools to collect, process, and interpret large datasets. They help organizations make data-driven decisions by identifying trends and insights in various domains, including marketing, finance, and operations.
Business Intelligence Analyst: These professionals analyze data to help organizations improve their business processes. They use data visualization tools and business analytics software to generate insights that support strategic decision-making and organizational improvements.
Data Scientist: Data scientists design and implement machine learning algorithms, conduct predictive modeling, and work with big data. They solve complex business problems by using advanced techniques such as natural language processing and deep learning.
Market Research Analyst: Market research analysts study market conditions to examine potential sales of a product or service. They collect and analyze data on consumer preferences, competitors, and market trends to provide recommendations to businesses on marketing strategies.
Operations Analyst: Operations analysts focus on improving the efficiency of organizational processes by analyzing data related to supply chains, production, logistics, and customer service. They use data analysis to recommend improvements in operational systems.
Quantitative Analyst (Quant): Often employed in the financial sector, quantitative analysts use advanced mathematical and statistical models to analyze financial markets, develop trading algorithms, and assess risk in investment strategies.
Data Engineer: Data engineers build and maintain the architecture that allows organizations to store and process large datasets. They work with databases, cloud services, and data pipelines to ensure that data is accessible and well-organized for analysis.
Healthcare Data Analyst: In healthcare, data analysts work with medical records, insurance claims, and patient data to identify trends and improve patient care, hospital operations, and cost-efficiency. They play a critical role in healthcare policy and decision-making.
Data Consultant: Data consultants offer advisory services to businesses, helping them optimize their use of data for operations, strategy, and decision-making. They may work in industries such as technology, finance, marketing, and logistics.
Risk Analyst: Risk analysts assess financial, operational, and market risks by analyzing data. They help businesses identify potential threats and develop strategies to minimize risk exposure, often working in insurance, banking, or corporate governance.
