Business: Data, Insights, and Analytics, M.S.
Program Overview
The Master of Science in Data, Insights, and Analytics program equips students with the skills to leverage data for business problem-solving and decision-making. Taught by top-ranked faculty through edX, the program covers analytics tools, data visualization, predictive modeling, and project management. Graduates are prepared for careers in data analysis, business intelligence, and analytics, including roles such as Data Analyst and Analytics Manager.
Program Outline
Degree Overview:
The Master of Science in Data, Insights, and Analytics program provides students with the skills and knowledge necessary to utilize data to solve business problems and drive business decisions. The program is designed to be approachable for students with a variety of backgrounds and is taught by top-ranked faculty through the edX online platform. The industry-informed curriculum prepares students to use data to solve business problems and drive business decisions.
Objectives:
- Use analytics tools like Python, SQL, Tableau, AWS, and Snowflake.
- Deliver data-driven insights and recommendations for organizations using visualization and descriptive analytics techniques.
- Build linear regression, machine learning, and optimization models leveraging an organization's data resources.
- Manage analytics projects, communicate professionally, and influence data-based changes within an organization.
Outline:
Required Courses
- GEN BUS 881 Business Statistics Using Python (2 credits)
- GEN BUS 882 SQL Fundamentals (2 credits)
- GEN BUS 883 Data Visualization & Cloud Technologies (2 credits)
- GEN BUS 884 Applied Analytics - Case Studies (2 credits)
- GEN BUS 885 Python Fundamentals (2 credits)
- GEN BUS 886 Foundations of Predictive Modeling for Business Analytics (2 credits)
- GEN BUS 740 Experiments and Causal Methods for Business Insights (2 credits)
- GEN BUS 888 Applied Machine Learning for Business Analytics (2 credits)
- GEN BUS 730 Prescriptive Modeling and Optimization for Business Analytics (2 credits)
- GEN BUS 746 Advanced SQL & Data Warehousing (2 credits)
- GEN BUS 891 Text Mining for Business Analytics (2 credits)
- GEN BUS 745 Robotic Process Automation (2 credits)
- GEN BUS 893 Analytics Consulting Project Management (2 credits)
- GEN BUS 894 Pitfalls, Ethics, Communication, and Leadership in Business Analytics (2 credits)
- GEN BUS 895 Masters Capstone in Business Analytics (2 credits) Total Credits: 30
Assessment:
No formal examination is required.
Teaching:
The program is taught by top-ranked faculty through the edX online platform. The virtual program is delivered in a part-time, asynchronous format.
Careers:
Graduates of the program are prepared for careers in data analysis, business intelligence, and analytics. Potential job titles include:
- Data Analyst
- Business Intelligence Analyst
- Analytics Manager
- Data Scientist
University of Wisconsin–Madison
Overview:
University of Wisconsin–Madison is a public research university located in Madison, Wisconsin. It is known for its strong academic programs, extensive research enterprise, and vibrant campus life. The university is guided by the Wisconsin Idea, a philosophy that emphasizes the importance of using knowledge to improve the lives of people beyond the campus.
Services Offered:
The university offers a wide range of services to students, including:
Academic Support:
Academic advising, tutoring, writing centers, and career services.Student Life:
Student organizations, recreational facilities, cultural events, and health services.Technology:
Access to computer labs, online resources, and software.Housing:
On-campus residence halls and off-campus housing options.Financial Aid:
Scholarships, grants, loans, and work-study programs.Student Life and Campus Experience:
Students at UW–Madison can expect a vibrant and engaging campus experience. The university boasts a diverse student body, a wide range of student organizations, and a lively social scene. The city of Madison offers a variety of cultural attractions, restaurants, and entertainment options.
Key Reasons to Study There:
Strong Academic Programs:
UW–Madison is home to a wide range of academic programs, including highly ranked programs in engineering, business, medicine, and the humanities.Research Opportunities:
The university is a leading research institution, offering students opportunities to participate in groundbreaking research projects.Wisconsin Idea:
The university's commitment to public service provides students with opportunities to make a positive impact on the world.Vibrant Campus Life:
UW–Madison offers a lively and engaging campus experience with a diverse student body, a wide range of student organizations, and a variety of cultural events.Location:
Madison is a beautiful and vibrant city with a strong sense of community.Academic Programs:
UW–Madison offers a wide range of undergraduate and graduate programs across various disciplines, including:
Engineering:
The College of Engineering is highly ranked and offers programs in areas such as computer science, electrical engineering, and mechanical engineering.Business:
The Wisconsin School of Business is known for its strong programs in finance, marketing, and entrepreneurship.Medicine:
The School of Medicine and Public Health is a leading institution in medical research and education.Humanities:
The university offers a wide range of programs in the humanities, including English, history, philosophy, and art history.Other:
Athletics:
UW–Madison is a member of the Big Ten Conference and has a strong athletic tradition.Alumni Network:
The university has a large and active alumni network, providing students with valuable connections after graduation.Sustainability:
UW–Madison is committed to sustainability and has a number of initiatives to reduce its environmental impact.Entry Requirements:
The following will be required for admission to the Master of Science: Business: Data, Insights, and Analytics program:
- Application and application fee.
- Undergraduate degree. Expected completion of an undergraduate degree is required prior to starting the Master of Science: Business: Data, Insights, and Analytics program.
- Resume.
- Response to essay(s) question(s).
- TOEFL or IELTS test score, only for applications whose native language is not English. Students may also submit GMAT or GRE scores and/or a professional letter of recommendation as part of their application package but this is not required. The TOEFL is waived for students who have completed a four-year undergraduate degree and/or master's degree (minimum of eight semesters total) with instruction in English or who will complete such a degree prior to matriculation in the Master of Science: Business: Data, Insights, and Analytics program. All undergraduate and master's degree transcripts will be evaluated. Schools outside the United States may be verified by World Education Services at the individual class level.
