B.S. in Data Science

The University of Wisconsin Milwaukee (UWM) offers an innovative B.S. program in Data Science, providing students with a comprehensive education in statistical analysis, machine learning, data visualization, and computer programming. This interdisciplinary program equips students with the skills and knowledge to extract valuable insights from large and complex datasets, making data-driven decisions and solving real-world problems across various industries and domains.

STEM Designated: The B.S. in Data Science program at UWM is designated as STEM (Science, Technology, Engineering, and Mathematics), reflecting its emphasis on rigorous scientific inquiry, quantitative analysis, and technical skills. Students engage in coursework and research projects that develop their proficiency in mathematical modeling, statistical inference, algorithm development, and computational methods, preparing them for careers in STEM fields and graduate studies in data science-related disciplines.

Curriculum: The curriculum of the B.S. in Data Science at UWM is designed to provide students with a strong foundation in mathematical and statistical principles, as well as practical skills in data manipulation, analysis, and interpretation. Core coursework covers topics such as probability theory, linear algebra, data mining, machine learning, database management, and data visualization. Students also have the opportunity to choose elective courses and concentrations that align with their interests and career goals, allowing them to specialize in areas such as big data analytics, business intelligence, bioinformatics, or computational social science.

Research Focus: UWM's B.S. program in Data Science emphasizes research as a central component of scientific inquiry and innovation. Faculty members are actively engaged in research projects that address pressing challenges in data science, such as predictive modeling, pattern recognition, anomaly detection, and network analysis. Students have the opportunity to participate in faculty-led research initiatives, internships, and collaborative projects with industry partners, gaining hands-on experience and contributing to the advancement of knowledge in data science through their research findings and publications.

Industry Engagement: The program maintains strong connections with industry partners, technology companies, and research institutions, providing students with opportunities for industry engagement and professional development. Through internships, cooperative education programs, and industry-sponsored projects, students gain practical experience and build networks within the data science community. UWM's Career Planning and Placement office offers resources and support for students seeking internships, job opportunities, and career advancement in data science-related fields.

Global Perspective: Recognizing the global significance of data science and its applications in various domains and industries, UWM encourages students to explore diverse cultural perspectives and global issues through their coursework and research. Students have the opportunity to study abroad, participate in international research collaborations, and apply data science techniques to address global challenges such as healthcare, sustainability, social inequality, and economic development. By embracing diversity and cross-cultural exchange, graduates of the B.S. program at UWM develop a global perspective and are prepared to contribute to data-driven solutions for complex problems on a global scale.

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 B.S. in Data Science program from the University of Wisconsin Milwaukee (UWM) are well-positioned for exciting and rewarding careers in a variety of industries that rely on data-driven decision-making and analysis. Equipped with strong analytical skills, programming proficiency, and domain knowledge, UWM alumni can pursue diverse career paths in data science, business intelligence, artificial intelligence, and more.

Data Analyst: Many UWM graduates choose to pursue careers as data analysts, responsible for collecting, processing, and analyzing large datasets to extract actionable insights and inform decision-making. Data analysts work in various industries such as finance, healthcare, marketing, and technology, conducting statistical analyses, creating data visualizations, and generating reports to support strategic business initiatives, optimize processes, and improve organizational performance.

Data Scientist: With their expertise in machine learning, predictive modeling, and advanced analytics, some UWM alumni become data scientists, applying mathematical and computational techniques to solve complex problems and uncover patterns in data. Data scientists work in diverse fields such as e-commerce, cybersecurity, healthcare, and government, developing algorithms, building predictive models, and deriving insights from data to drive innovation, optimize operations, and create value for organizations.

Business Intelligence Analyst: For those interested in business strategy and decision support, a career as a business intelligence analyst may be a suitable path. Business intelligence analysts leverage data analysis tools and techniques to analyze business processes, identify trends, and provide actionable insights to stakeholders. They work closely with business leaders, identifying opportunities for improvement, optimizing performance metrics, and driving data-driven decision-making to enhance organizational efficiency and competitiveness.

Machine Learning Engineer: With their expertise in machine learning algorithms and computational techniques, some UWM graduates become machine learning engineers, developing and deploying predictive models and algorithms to solve complex problems and automate decision-making processes. Machine learning engineers work in industries such as software development, robotics, autonomous vehicles, and natural language processing, designing and implementing machine learning systems that improve performance, efficiency, and user experience.

Data Engineer: For those interested in data infrastructure and architecture, a career as a data engineer may be a rewarding choice. Data engineers design, build, and maintain data pipelines, databases, and data warehouses that enable organizations to collect, store, and access large volumes of structured and unstructured data. They work with programming languages and database technologies to ensure data quality, reliability, and accessibility, supporting data-driven initiatives and analytics projects across the organization.

Artificial Intelligence Specialist: With their expertise in machine learning, neural networks, and deep learning algorithms, some UWM alumni become artificial intelligence specialists, developing intelligent systems and applications that simulate human intelligence and behavior. Artificial intelligence specialists work in industries such as healthcare, finance, gaming, and robotics, designing and implementing AI-powered solutions that automate tasks, enhance decision-making, and create new opportunities for innovation and growth.