Program Details
Our Data Analytics curriculum is based on the University of California, Berkeley's Data Science curriculum. It was adjusted for LCMC students and uses Dr. Charles Severance's "For Everyone" materials for programming.
The program was reviewed by experts in academia and business and only contains what's needed for a career. It's smaller and less time-intensive than competing programs so students have the flexibility to allow for liberal arts pursuits.
Faculty Contributors
By offering some of these courses online, we give students access to world-leading faculty and a curriculum vetted by real Fortune 500 companies.
Dr. Charles Severance, University of Michigan - Dr. Charles Severance holds a PhD in Computer Science from Michigan State University. He is the former Executive Director of the Sakai Foundation, and one of the world’s leading online CS educators. His contributions helped complete the curriculum for Data Analytics.
How does this degree align with the real world?
This program is routinely reviewed and improved by representatives from the following organizations:
- US Department of Defense
- UHSP
- Rize Education
- Ohio Dominican
- Compass
- Stripe
- Meta (Formerly Facebook)
Career Outlook
Data Analytics and Data Science offer students the opportunity to pursue a wide range of careers in business, finance and healthcare. Data Analyst starting salaries range from $65,000 - $115,000, and Data Scientist salaries are approximately 25-30% higher. These jobs are expected to experience incredibly high growth over the next five years
- Example: Operations Research Analyst
- No Prior Experience Required
- Median Salary: $84,810
- Job Growth: 5 times the national average job growth (25% over 10 years)
Curriculum Highlights
- Foundations of Data Analytics I & II
- Principles and Techniques of Data Analytics I & II
- Data Analytics Practicum
- Internet History Technology and Security
- Programming for Everyone I & II
- Data Structures
- Algorithms
Good to Know:
- Math Required: Calc I, Stats, Probability
- Hardest Class: Algorithms or Principles and Techniques of Data Analytics II
Both classes are highly technical, however, students will have a solid basis in programming - for the former - or data analytics - for the latter - before taking either class, improving success.
Plan Your Path to Success
Explore our 4-Year Planner to see how you can progress from foundational data analytics courses to advanced projects and real-world experiences. This roadmap helps you stay on track, balance coursework, and make the most of every semester on your way to a rewarding tech career.
4-year plan
