M.S. in Computer Science
The Master of Science (M.S.) in Computer Science at the University of Wisconsin Milwauk...
M.S. in Data Science
Milwaukee, Wisconsin
INTAKE: Jan & Aug
Program Overview
The Master of Science in Data Science (M.S. in Data Science) at the University of Wisconsin Milwaukee is a cutting-edge program designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving field of data science. This program integrates theoretical concepts with hands-on experience, preparing graduates for impactful careers in data-driven decision-making.
STEM Designated: The M.S. in Data Science program holds the prestigious STEM (Science, Technology, Engineering, and Mathematics) designation. This recognition signifies the program's alignment with high-demand fields, making international students eligible for STEM OPT (Optional Practical Training) extensions, allowing them to work in the U.S. for an extended period after graduation.
Curriculum: The curriculum is thoughtfully crafted to cover a broad spectrum of topics in data science, including statistical methods, machine learning, data visualization, and big data analytics. Students delve into programming languages such as Python and R, gaining proficiency in tools and technologies commonly used in the industry.Elective courses may allow students to specialize in areas such as natural language processing, computer vision, or advanced data analytics. The program often includes a practical component, such as a capstone project or internship, allowing students to apply their skills to real-world challenges.
Research Focus: The M.S. in Data Science program places a strong emphasis on research, encouraging students to engage in cutting-edge projects that contribute to advancements in the field. Faculty members are actively involved in data science research, and students have opportunities to collaborate on research initiatives ranging from algorithm development to data ethics.Research areas may include predictive modeling, data mining, and the ethical implications of data science applications. The program aims to foster a culture of innovation and critical thinking, preparing graduates to address complex data-related issues.
Industry Engagement: Recognizing the importance of practical experience, the program emphasizes industry engagement. Students may have opportunities to participate in internships, cooperative education programs, or industry-sponsored projects. The program fosters strong connections with local businesses, tech companies, and research institutions, providing students with exposure to real-world data science applications.Guest lectures, workshops, and networking events facilitate interactions between students and industry professionals. This industry engagement ensures that graduates are not only well-versed in theoretical concepts but also understand how to apply their skills to solve practical problems in various sectors.
Global Perspective: The M.S. in Data Science program integrates a global perspective into its curriculum, acknowledging the international relevance of data science. Courses may explore global data trends, cross-cultural considerations in data analysis, and the impact of data-driven technologies on a global scale.Students are encouraged to consider data science challenges in diverse cultural and geographic contexts, preparing them to work in multinational companies or contribute to data-driven solutions with a global impact.
Location
Milwaukee, Wisconsin
Score
IELTS 6.5
Tuition Fee
USD 26050
Postgraduate Entry Requirements
Application Fee: $75
Academic Requirements: Prospective postgraduate students are required to have a minimum academic achievement of 83% or above in their previous educational qualifications.
English Language Proficiency:
- IELTS Requirement: An overall IELTS score of 6.5 is required.
- TOEFL Requirement: A minimum overall score of 79 is often required.
- PTE Requirement: A minimum overall score of 58 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.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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 Master of Science in Data Science (M.S. in Data Science) program at the University of Wisconsin Milwaukee are well-positioned for dynamic and lucrative careers in the rapidly evolving field of data science. Equipped with a strong foundation in data analytics, machine learning, and advanced statistical techniques, these professionals are in high demand across various industries.
Data Scientist: Graduates may embark on careers as data scientists, leveraging their expertise to extract valuable insights from complex datasets. They apply statistical models, machine learning algorithms, and data visualization techniques to inform strategic decision-making.
Machine Learning Engineer: Professionals in this role focus on designing and implementing machine learning models. They work on creating algorithms that enable systems to learn and improve from experience, contributing to advancements in artificial intelligence.
Data Engineer: Graduates may pursue roles as data engineers, responsible for designing, constructing, and maintaining the systems and architectures that enable efficient data processing. They work with big data technologies and ensure data pipelines are optimized.
Business Intelligence Analyst: Professionals in this role use data analysis to provide actionable insights for business strategy. They work closely with stakeholders, analyze trends, and develop reports and dashboards to support data-driven decision-making.
Quantitative Analyst: Graduates can enter the finance industry as quantitative analysts, applying mathematical and statistical models to financial data. They play a crucial role in risk assessment, algorithmic trading, and portfolio optimization.
Data Architect: Data architects design and create the structure for databases and systems, ensuring efficient data storage and retrieval. They collaborate with stakeholders to develop solutions that align with organizational goals.
AI Research Scientist: Graduates interested in advancing the field of artificial intelligence may become AI research scientists. They conduct research, develop new algorithms, and contribute to the cutting edge of AI technology.
Healthcare Data Analyst: With a focus on healthcare analytics, graduates may work as data analysts in the healthcare industry. They analyze healthcare data to improve patient outcomes, optimize healthcare processes, and contribute to medical research.
Cybersecurity Analyst: Professionals in this role focus on protecting organizations from cyber threats. Graduates with expertise in data science contribute to the analysis of security data, identifying vulnerabilities and developing strategies to enhance cybersecurity.
Research Scientist in Academia: Graduates with a passion for research may pursue academic careers as research scientists. They contribute to ongoing research in data science, publish scholarly articles, and mentor the next generation of data scientists.
