M.S. in Computer Science
The Master of Science (M.S.) in Computer Science at the University of Wisconsin Milwauk...
B.S. in Data Analytics
Milwaukee, Wisconsin
INTAKE: Jan & Aug
Program Overview
The Bachelor of Science (B.S.) in Data Analytics program at the University of Wisconsin Milwaukee (UWM) equips students with the skills and knowledge to analyze and interpret large datasets, extract valuable insights, and make data-driven decisions. This program combines elements of computer science, statistics, and business intelligence to prepare students for careers in data analysis, business analytics, data science, and related fields. Students learn to use tools and techniques such as data mining, machine learning, data visualization, and predictive modeling to extract meaningful information from data and solve complex problems across various industries.
STEM Designated: The B.S. in Data Analytics program at UWM is STEM designated, recognizing its focus on science, technology, engineering, and mathematics. This designation highlights the program's emphasis on quantitative skills, analytical thinking, and technological proficiency, which are essential for success in the rapidly growing field of data analytics. STEM designation also allows international students on F-1 visas to qualify for Optional Practical Training (OPT) extensions, providing opportunities for additional work experience in the United States.
Curriculum: The curriculum of the B.S. in Data Analytics program at UWM covers a wide range of topics in data analysis, statistics, programming, and business analytics. Core coursework includes subjects such as data management, statistical methods, programming languages (such as Python and R), data visualization, database systems, and machine learning. Students also have the opportunity to choose elective courses in specialized areas such as big data analytics, data mining, natural language processing, or business intelligence.
Research Focus: UWM's B.S. in Data Analytics program emphasizes applied research and practical application of data analysis techniques. Students have opportunities to engage in research projects, internships, and collaborative initiatives with industry partners, government agencies, or research institutes. Faculty members conduct research in areas such as predictive modeling, text mining, social network analysis, and health informatics, providing students with hands-on experience and exposure to real-world data analytics challenges.
Industry Engagement: The B.S. in Data Analytics program at UWM fosters strong connections with industry partners, technology companies, and data-driven organizations. Students have opportunities to participate in internships, co-op programs, and industry-sponsored projects that provide practical experience and networking opportunities. Industry engagement initiatives, guest lectures, and workshops connect students with professionals in data analytics, allowing them to gain insights into industry trends, best practices, and career pathways.
Global Perspective: In today's interconnected world, data analytics has global applications across various industries and sectors. UWM's B.S. in Data Analytics program emphasizes a global perspective, exploring data analytics challenges and opportunities in diverse cultural, economic, and geographic contexts. Students may have opportunities to participate in international research collaborations, study abroad programs, or global initiatives that address global data challenges, cross-cultural data analysis, or international business analytics.
Location
Milwaukee, Wisconsin
Score
IELTS 6.5
Tuition Fee
USD 20455
Undergraduate Entry Requirements
Application Fees: Waiver
Academic Qualifications: Prospective undergraduate students are required to have a minimum academic achievement of 75% or above in their previous educational qualifications.
English Language Proficiency
- IELTS Requirement: A minimum overall score of 6.5 is often required.
- TOEFL Requirement: A minimum overall score of 79 is often required.
- PTE Requirement: A minimum overall score of 56 is often required.
- DET Requirement: A DET score of 120 is required.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Wisconsin-Milwaukee (UWM) is fostering academic excellence and diversity by offering a range of scholarships for international students. These scholarships aim to make education more accessible and support students in achieving their academic and career goals.
Global Excellence Scholarship: UWM's Global Excellence Scholarship is designed to recognize outstanding academic achievements of international students. Eligibility criteria may include academic performance, leadership qualities, and contributions to the community. This merit-based scholarship is intended to attract top-tier international talent to UWM.
international Student Tuition Remission: UWM provides an International Student Tuition Remission program to assist non-resident international students with tuition costs. This program helps alleviate the financial burden associated with out-of-state tuition rates, making UWM an affordable option for students seeking a high-quality education.
Panther Commitment: The Panther Commitment scholarship is part of UWM's dedication to providing financial support to students with demonstrated need. This program considers various factors, including financial need, academic achievement, and extracurricular involvement. The Panther Commitment aims to ensure that financial constraints do not hinder qualified students from pursuing their education.
Cultural Diversity Scholarship: UWM values diversity and offers the Cultural Diversity Scholarship to international students who contribute to the cultural richness of the university community. This scholarship recognizes the importance of a diverse and inclusive campus environment and supports students who enhance cultural understanding and collaboration.
Departmental Scholarships: Several academic departments at UWM offer scholarships specific to international students within their programs. These departmental scholarships may be based on academic achievements, research contributions, or specific criteria related to the field of study.
Graduates of the Bachelor of Science (B.S.) in Data Analytics program at the University of Wisconsin Milwaukee (UWM) possess valuable skills and knowledge that open doors to diverse career opportunities in the rapidly growing field of data analytics.
Data Analyst: B.S. in Data Analytics graduates can work as data analysts, responsible for collecting, processing, and analyzing large datasets to extract actionable insights and inform decision-making processes. They work in various industries such as finance, healthcare, marketing, and e-commerce, helping organizations understand trends, identify opportunities, and optimize performance.
Business Intelligence Analyst: Graduates may pursue careers as business intelligence analysts, focusing on analyzing business data, generating reports, and providing strategic insights to support business planning, performance monitoring, and decision-making processes. They work closely with stakeholders to identify key performance indicators (KPIs), develop dashboards, and conduct data-driven analyses to drive organizational success.
Data Scientist: B.S. in Data Analytics graduates with advanced skills in statistics, machine learning, and programming may work as data scientists, leveraging advanced analytical techniques to uncover patterns, build predictive models, and derive actionable insights from complex datasets. They work in industries such as technology, healthcare, finance, and consulting, solving challenging problems and driving innovation through data-driven solutions.
Data Engineer: Graduates can pursue careers as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure to support data analytics and machine learning initiatives. They work with big data technologies, databases, and cloud platforms to ensure data availability, reliability, and scalability for analytics applications.
Database Administrator: B.S. in Data Analytics graduates may work as database administrators, managing and optimizing databases to ensure data integrity, security, and performance. They design database systems, implement data models, and oversee database operations to meet the needs of organizations in various industries.
Marketing Analyst: Graduates can work as marketing analysts, analyzing customer data, market trends, and campaign performance to inform marketing strategies and improve customer acquisition, retention, and engagement. They use data analytics tools and techniques to measure marketing effectiveness, segment audiences, and optimize marketing spend across channels.
Healthcare Data Analyst: B.S. in Data Analytics graduates may work in the healthcare industry as data analysts, focusing on analyzing healthcare data, clinical outcomes, and patient populations to improve patient care, operational efficiency, and healthcare delivery. They work with electronic health records (EHRs), healthcare databases, and analytics tools to support evidence-based decision-making in healthcare organizations.
Financial Analyst: Graduates can work as financial analysts, specializing in financial data analysis, risk assessment, and investment decision-making. They analyze financial data, market trends, and economic indicators to evaluate investment opportunities, assess portfolio performance, and provide financial recommendations to individuals and organizations.
Fraud Analyst: B.S. in Data Analytics graduates may work as fraud analysts, using data analytics techniques to detect and prevent fraudulent activities such as identity theft, payment fraud, or insurance fraud. They analyze transaction data, identify suspicious patterns, and implement fraud detection algorithms to protect organizations from financial losses and reputational damage.
Research Analyst: Graduates can work as research analysts, conducting data-driven research projects, surveys, and studies to generate insights and support decision-making in academic institutions, government agencies, or research organizations. They collect and analyze data, interpret findings, and present research findings through reports, presentations, or publications.
