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Students
Tuition Fee
USD 2,747
Start Date
2025-09-01
Medium of studying
Blended
Duration
13 credits
Program Facts
Program Details
Degree
Courses
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 2,747
Intakes
Program start dateApplication deadline
2025-09-01-
2026-03-01-
About Program

Program Overview


Data Analytics

Program Overview

The mission of the Data Analytics Certificate is that every student at Madison College, no matter their program or starting point, has access to learn basic data analytics skills.


Completion will prepare students to work in a variety of settings, including academic research environments and both the private and public sectors, with traits employers want, including good communication skills, ethics, logic, and critical decision-making.


Program Details

  • Program Number: CERT
  • Degree: Certificate
  • Area of Study: Science, Math and Natural Resources
  • Delivery Method: Some Online/Some In Person
  • Estimated Time to Complete: 13 Credits | Finish in 1 semester
  • Estimated Program Cost: $2,747.66

Curriculum and Experience

  • Required Courses:
    • Introduction to Data Analytics (3 credits)
    • Technology and Society (3 credits)
    • Statistics for the Social Sciences (4 credits)
    • Introduction to Programming in Python (3 credits)

Admission

  • Admission Requirements: None
  • Application Dates:
    • Fall 2025: Application open, deadline October 15, 2025
    • Spring 2026: Application available September 15, 2025, deadline March 15, 2026
  • Additional Notes:
    • Certificate programs are not eligible for financial aid
    • Class capacity is limited and is available on a first come, first served basis
    • Students who have already completed the certificate coursework at the time of application will receive the certificate diploma at the end of the term of application

Career Outcomes

  • Career Outcomes: After completing the Data Analytics Certificate at Madison Area Technical College, you will be able to:
    • Analyze data using statistical techniques and models
    • Manage and visualize data using a variety of tools
    • Solve data-related problems using a programming language used in data science
    • Have an awareness of the ethical and sociological implications of data science practices

Related Programs

  • University Transfer - Social Sciences
  • IT-Data Analyst Apprenticeship

Program Outline

Degree Overview:


Overview:

The Data Analytics Certificate program strives to equip every Madison College student, irrespective of their program of study or starting point, with foundational data analytics skills. Upon completion, participants will be adept at working in diverse environments, including academia, the private sector, and the public domain, showcasing sought-after attributes such as effective communication, ethical conduct, logical reasoning, and critical decision-making.


Objectives:

  • Cultivate proficiency in data collection, management, analysis, visualization, and presentation.
  • Foster an understanding of the ethical and societal implications of data science practices.

Outline:


Content and Structure:

The Data Analytics Certificate curriculum encompasses three core components:

  • Data Management and Analysis:
  • This module delves into data collection, organization, and analysis techniques. Students explore statistical methods, data modeling, and data visualization to extract meaningful insights from complex datasets.
  • Data Programming:
  • This module equips students with programming skills in Python, a widely used language in data science. Through hands-on exercises, they learn to manipulate, clean, and transform data, enabling them to automate tasks and develop data-driven solutions.
  • Ethical and Societal Implications of Data Science:
  • This module examines the ethical and social responsibilities associated with data science practices. Students critically analyze the potential biases, privacy concerns, and societal impacts of data collection and analysis, fostering ethical decision-making and responsible data handling. ### Course Schedule: The Data Analytics Certificate program can be completed in one semester, typically spanning 15 weeks. The course schedule is designed to provide a balanced blend of theoretical concepts and practical applications. Each course meets once or twice a week, allowing students to delve deeply into the subject matter while maintaining a manageable workload. ### Individual Modules with Descriptions:
  • Introduction to Data Analytics (3 credits):
  • This course serves as the foundation of the program, introducing students to the fundamental concepts and techniques of data analytics. They gain an understanding of data types, data sources, and data analysis methods, laying the groundwork for their subsequent coursework.
  • Technology and Society (3 credits):
  • This course explores the intricate relationship between technology and society, examining how technological advancements shape human behavior, social interactions, and cultural norms. Students critically analyze the ethical and societal implications of emerging technologies, developing a nuanced understanding of the impact of data science on modern society.
  • Statistics for the Social Sciences (4 credits):
  • This course provides a comprehensive introduction to statistical methods and their application in the social sciences. Students learn to collect, analyze, and interpret data using statistical techniques, enabling them to draw informed conclusions and make evidence-based decisions.
  • Introduction to Programming in Python (3 credits):
  • This course introduces students to the Python programming language, a powerful tool for data analysis and manipulation. Through hands-on coding exercises, they gain proficiency in data structures, algorithms, and Python libraries, empowering them to automate tasks and solve complex data science problems.

Assessment:


Assessment Methods:

The Data Analytics Certificate program utilizes a diverse range of assessment methods to evaluate student learning and progress:

  • Exams:
  • Exams are administered periodically throughout the semester to assess students' understanding of theoretical concepts and their ability to apply them to practical data analysis scenarios.
  • Assignments:
  • Regular assignments, including quizzes, homework, and projects, provide students with opportunities to practice their skills, receive feedback, and demonstrate their mastery of the course material.
  • Projects:
  • Larger projects, such as research papers or data analysis presentations, allow students to delve deeply into a specific topic and showcase their ability to conduct independent research, analyze data, and communicate their findings effectively.
  • Participation:
  • Active participation in class discussions, group work, and online forums is also considered in the assessment process, as it demonstrates students' engagement with the material and their contribution to the learning environment. ### Criteria: The assessment criteria vary depending on the specific assessment method but generally focus on:
  • Accuracy:
  • The correctness and precision of students' answers or solutions.
  • Completeness:
  • The extent to which students have addressed all aspects of the assignment or question.
  • Clarity:
  • The clarity and organization of students' written or verbal responses.
  • Critical thinking:
  • The ability to analyze data, draw inferences, and make informed decisions.
  • Communication skills:
  • The effectiveness of students' communication in written, verbal, and visual formats.

Teaching:


Teaching Methods:

The Data Analytics Certificate program employs a variety of teaching methods to cater to diverse learning styles and enhance student engagement:

  • Lectures:
  • Lectures introduce key concepts, theories, and methodologies in data analytics. Faculty members present the material in a clear and engaging manner, encouraging active participation and fostering a deep understanding of the subject matter.
  • Discussions:
  • Class discussions provide students with opportunities to share their perspectives, ask questions, and engage with their peers. This interactive format promotes critical thinking, collaboration, and the exchange of ideas.
  • Hands-on activities:
  • Practical hands-on activities, such as data analysis exercises and coding labs, allow students to apply their knowledge and skills to real-world scenarios. These activities reinforce theoretical concepts and develop practical proficiency.
  • Case studies:
  • Case studies expose students to real-life data analytics challenges faced by organizations. Through group work and presentations, they analyze data, identify patterns, and propose solutions, honing their problem-solving and decision-making abilities.
  • Guest speakers:
  • Guest speakers from industry and academia share their expertise and insights, providing students with a glimpse into the practical applications of data analytics and the latest trends in the field. ### Faculty: The Data Analytics Certificate program is taught by a team of experienced faculty members who are experts in their respective fields, including data science, statistics, computer science, and social sciences. Their passion for teaching and commitment to student success create a dynamic and supportive learning environment. ### Unique Approaches:
  • Interdisciplinary collaboration:
  • The program fosters interdisciplinary collaboration by drawing upon faculty and resources from various departments, ensuring that students gain a comprehensive understanding of data analytics from multiple perspectives.
  • Industry partnerships:
  • The program collaborates with industry partners to provide students with access to real-world data and case studies, bridging the gap between academia and the professional world.
  • Experiential learning:
  • Through hands-on projects and internships, students gain valuable practical experience, applying their knowledge to address real-life data analytics challenges.

Careers:


Career Paths and Opportunities:

The Data Analytics Certificate program prepares students for diverse career paths in various industries, including:

  • Data Analyst:
  • Analyze data to identify trends, patterns, and insights, supporting decision-making and problem-solving.
  • Data Scientist:
  • Develop and implement data science models and algorithms to extract valuable information from complex datasets.
  • Data Engineer:
  • Design and manage data infrastructure, ensuring the availability, reliability, and integrity of data.
  • Business Analyst:
  • Utilize data analytics to understand business needs, identify opportunities, and improve operational efficiency.
  • Market Researcher:
  • Conduct market research studies using data analytics to gain insights into consumer behavior and market trends.
  • Policy Analyst:
  • Leverage data analytics to inform policy decisions, evaluate program effectiveness, and improve public services. ### Program Outcomes: Upon completion of the Data Analytics Certificate program, students will be able to:
  • Analyze data using statistical techniques and models.
  • Manage and visualize data using a variety of tools.
  • Solve data-related problems using a programming language used in data science.
  • Have an awareness of the ethical and sociological implications of data science practices.
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About University
Bachelors
Diploma
Foundation
Courses

Madison College


Overview:

Madison College, formerly known as Madison Area Technical College, is a public technical college offering a wide range of academic programs and services. It aims to provide students with hands-on learning experiences and prepare them for successful careers or further education.


Services Offered:

Madison College offers a comprehensive set of services for students, including:

    Admissions:

    Assistance with the application process, including transcript submission and becoming a student.

    Enrollment:

    Guidance on enrolling in classes.

    Academic Programs:

    A diverse selection of programs across various areas of study, including degrees, certificates, and credentials.

    Transfer Opportunities:

    Pathways to transfer to four-year universities, including partnerships with institutions like UW-Madison.

    College Credit in High School:

    Programs for high school students to earn college credit.

    International Education:

    Opportunities for study abroad.

    Flexible and Online Learning:

    Options for online and flexible learning formats.

    Honors Program:

    A program for high-achieving students.

    Professional and Continuing Education:

    Customized workforce training programs in various fields.

    High School Completion and Alternatives:

    Programs for GED/HSED, English as a Second Language, and other alternatives.

    Career Discovery Youth Programs:

    Classes and camps for youth.

    Student Life and Campus Experience:

    Opportunities to engage in clubs, organizations, athletics, and campus events.

    Academic and Advising Services:

    Support services for academics, advising, career development, testing, and transfer.

    Student Services and Support:

    Financial aid, scholarships, student safety, physical and mental health services, disability resources, veteran services, and technology support.

    Commitment to Equity:

    Initiatives promoting equity and diversity.

    Paying for College:

    Information on tuition and fees, financial aid, scholarships, and other payment options.

Student Life and Campus Experience:

Madison College offers a vibrant campus experience with opportunities for students to get involved in various activities, including:

    Clubs and Organizations:

    A wide range of clubs and organizations for students to join.

    Athletics:

    Participation in sports.

    Campus Events:

    Opportunities to attend events and activities.

Key Reasons to Study There:

    Hands-on Learning:

    Emphasis on practical skills and real-world experience.

    Career-Focused Programs:

    Programs designed to prepare students for specific careers.

    Transfer Opportunities:

    Pathways to transfer to four-year universities.

    Affordable Tuition:

    Competitive tuition rates compared to other institutions.

    Financial Aid and Scholarships:

    Extensive financial aid and scholarship opportunities.

    Student Support Services:

    Comprehensive support services for students' academic and personal needs.

    Commitment to Equity:

    Dedicated to creating an inclusive and equitable learning environment.

Academic Programs:

Madison College offers a wide range of academic programs across 11 areas of study, including:

  • Architecture and Engineering
  • Arts, Design and Humanities
  • Business
  • Construction, Manufacturing and Maintenance
  • Culinary, Hospitality and Fitness
  • Education and Social Sciences
  • Health Sciences
  • Information Technology
  • Law, Protective and Human Services
  • Science, Math and Natural Resources
  • Transportation

Other:

    Multiple Campuses:

    Madison College has multiple campuses located in Madison, Fort Atkinson, Portage, Reedsburg, and Watertown.

    Community Engagement:

    Strong commitment to community service and partnerships.

    Alumni Resources:

    Resources and support for alumni.

    News and Events:

    Regular updates on news and events.

    Employer Resources:

    Resources for employers seeking to partner with Madison College.

Total programs
194
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