Diversity is Critically Important
Without a diverse data science workforce, data bias and blind spots will occur that could have unintended consequences with potentially large social implications. CCM is committed to attracting and retaining a student body that represents all members of our community.
Recently, faculty and students the Women in Statistics and Data Sciences Conference. WSDS brings together professionals and students from academia, industry and the government working in statistics and data science. We are an Academic Alliance member of the National Center for Women and Information Technology (NCWIT) and have become a partner in the NCWIT Learning Circle program, which is designed to increase the percentage of women and other under-represented groups in computing fields. And, for over two decades CCM has inspired high school women to pursue careers in technology through CCMâ€™s annual Women Who Dare program, a full-day, on-campus experience full of interactive workshops.
Collaborative Learning Environment
Our collaborative, team-based learning environment allows you to work with others to analyze real-world data to solve problems or answer questions. All data science classes are taught in classrooms equipped with computers and industry standard software for every student, which permits hands-on, active learning environments for instruction and learning. Classrooms hold at most 20 students, allowing instructors to provide individual attention.
Beyond the Classroom
Students have many extra-curricular opportunities to get involved, meet others and develop leadership and other professional skills. Some of the data-science related activities that have occurred recently include:
- Data Science Day â€“ to expose students to the expansive opportunities for analyzing data
- Advanced Technological Education National Science Foundation Conference â€“ presentation of a student poster session
- Women in Statistics and Data Sciences Conference â€“ fosters relationships and professional development in data science
- Hour of Code â€“ a community event to help others learn the power of coding
- Python Day â€“ exposing students to a popular computer programming language used by data scientists
No experience. No problem.
No prior experience in statistics or computer programming is necessary in your pursuit of a data analytics career. The curriculum includes an entry level course in the Python programming language and lower-level math pre-requisite statistics and data science courses.
Free in-person and online tutoring services are offered and our professors welcome your office-hour visits and questions. Our faculty members all have current industry experience and enjoy connecting you to their professional networks.
Top Job Prospects
According to the U.S. Bureau of Labor Statistics (BLS), there is a high demand for data scientists. BLS 2018 projections indicated that data science analytic jobs will grow by 34 percent by 2026, much faster than the average for most other industries.
The CCM Career Services department work with students help them to secure internships and full-time employment. They also provide assistance in preparing resumes, LinkedIn profiles and practicing interviewing skills. They connect students with local companies that provide them with industry experience while they attend school