University of Wisconsin-Milwaukee
Wisconsin
,United States
Program Name
Master of Science in Data Science
Overview
The Master of Science in Data Science at the University of Wisconsin-Milwaukee is a premier program designed to equip students with advanced knowledge and practical skills essential for thriving in the rapidly-evolving field of data science. Over a duration of just 24 months, students engage with a comprehensive curriculum that blends theoretical foundations with hands-on experiences, ensuring they are well-prepared for the challenges and opportunities that await them in the workforce. This program stands out for its emphasis on both Data Science and Data Analytics, making it a top-tier choice for those looking to make significant contributions in these areas.
Students will delve into a wide variety of subjects, including but not limited to, machine learning, data visualization, statistical analysis, and big data technologies. Core courses such as Data Mining, Predictive Modeling, and Statistical Programming are complemented by elective offerings that allow students to explore specialized topics like Natural Language Processing and Deep Learning. This balanced approach ensures that graduates possess both breadth and depth of knowledge in the field.
The faculty members involved with this program are highly respected experts in their fields, bringing a wealth of knowledge derived from both academia and industry practice. Their teaching methodologies emphasize experiential learning, encouraging students to participate in real-world projects, simulations, and collaborative research. Faculty members are not just instructors; they mentor students and involve them in cutting-edge research initiatives, ensuring that learners are at the forefront of technological advancements.
Moreover, the University offers a rich array of research opportunities and resources, including access to state-of-the-art laboratories and datasets. Students can actively engage in projects that address real-world challenges, further enhancing their problem-solving abilities. UWM's partnerships with industry leaders provide students with unique internship possibilities, allowing them to gain invaluable experience and make professional connections that are vital for future job placements.
Upon completion of the Master of Science in Data Science, graduates will find numerous career pathways available to them, ranging from data analysts and data engineers to machine learning specialists and research scientists. The program's alignment with industry needs ensures a high graduate employability rate, making it an attractive option for students aiming to enter or advance in the tech field. Alumni from this program have successfully landed positions at leading companies, showcasing the efficacy of the education received.
Why Study Data Science at University of Wisconsin-Milwaukee?
- A strong emphasis on both theoretical knowledge and practical application, providing a well-rounded education.
- Renowned faculty with expertise in data science, analytics, and various applications, ensuring top-notch instruction.
- Access to cutting-edge technology and research labs, fostering innovation and hands-on experience.
- Strong industry connections facilitate internship opportunities, enhancing job readiness post-graduation.
- A diverse community, providing an enriching learning environment that fosters cultural exchange and collaboration.
- A supportive alumni network that aids in job placement and career advancement in various sectors.
To enroll in this prestigious program, applicants must meet certain eligibility criteria, which include holding a bachelor's degree in a related field and demonstrating proficiency in English through standardized tests such as IELTS, TOEFL, or PTE. The minimum requirements generally require an IELTS score of 6.5, a TOEFL score of 79, or a PTE score of 58. Furthermore, a completed application must include a fee of $75, along with any necessary transcripts and letters of recommendation.
In summary, the Master of Science in Data Science at the University of Wisconsin-Milwaukee offers an exceptional learning experience marked by a rigorous curriculum, expert faculty, and ample research and internship opportunities. Graduates leave the program fully equipped to impact the world of data science and are highly sought after in the job market. With its comprehensive approach to teaching and learning, this program is undeniably a strong choice for aspiring data scientists.
Duration
24 Months
Class Profile
Diversity
International:
10%African American:
16%Others:
4%Native American:
1%Hispanic American:
10%Asian American:
10%White American:
59%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
58
TOEFL
79
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Fee: 75
Application Deadlines
Fees and Funding
Tuition Fees
$24,090 / year
FAQs
- Admissions Requirements:
To enroll in the Master of Science in Data Science program at the University of Wisconsin-Milwaukee, applicants must meet the following eligibility criteria:
- Hold a bachelor's degree in a related field.
- Demonstrate proficiency in English through standardized tests, with minimum scores of:
- IELTS: 6.5
- TOEFL: 79
- PTE: 58
- Submit a completed application along with a fee of $75.
- Provide necessary transcripts and letters of recommendation.
- Program Structure:
The Master of Science in Data Science program is designed to be completed in 24 months. The curriculum blends theoretical foundations with practical experiences, ensuring that students are well-prepared for the workforce. Key components of the program include:
- Core Courses: These include Data Mining, Predictive Modeling, and Statistical Programming.
- Elective Offerings: Students can choose specialized topics such as Natural Language Processing and Deep Learning.
- Research Opportunities: Access to state-of-the-art laboratories and datasets for real-world project engagement.
- Teaching Methods:
The faculty members of the Master of Science in Data Science program employ various teaching methodologies that emphasize experiential learning. Key aspects include:
- Participation in real-world projects and simulations.
- Collaborative research opportunities with faculty who are experts in their fields.
- Mentorship from faculty members, ensuring students are engaged with cutting-edge research initiatives.
- Career Prospects:
Graduates of the Master of Science in Data Science program can expect numerous career pathways, including:
- Data Analysts
- Data Engineers
- Machine Learning Specialists
- Research Scientists
The program's alignment with industry needs contributes to a high graduate employability rate, making it an attractive choice for those looking to enter or advance in the tech field.
- Unique Aspects:
The Master of Science in Data Science program at the University of Wisconsin-Milwaukee stands out due to several unique features:
- A strong emphasis on theoretical knowledge and practical application.
- Access to cutting-edge technology and research labs.
- Strong industry connections that facilitate internship opportunities.
- A diverse community that enriches the learning environment.
- A supportive alumni network that aids in job placement and career advancement.
- Subjects Covered:
The curriculum of the Master of Science in Data Science program includes a wide variety of subjects, such as:
- Machine Learning
- Data Visualization
- Statistical Analysis
- Big Data Technologies
These subjects ensure students acquire both breadth and depth of knowledge necessary for a successful career in data science.
- Research Opportunities:
Students in the Master of Science in Data Science program have access to a rich array of research opportunities, including:
- State-of-the-art laboratories equipped with advanced technology.
- Datasets for analyzing real-world challenges.
- Active participation in projects that enhance problem-solving abilities and practical skills.
- Job Placement Support:
The Master of Science in Data Science program provides several resources to support job placement, including:
- Strong industry connections that facilitate valuable internship opportunities.
- A supportive alumni network that helps with job placement.
- Engagement in real-world projects during the program that enhances students' resumes.
These elements collectively contribute to a high employability rate for graduates.
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