Data science is an interdisciplinary field focused on discovering patterns and describing relationships using data. It uses techniques from both computer science and math, particularly statistics. Data science typically involves building, testing and interpreting a data model, a representation of a real-life system that organizes data elements and informs how the elements relate to one another. Data scientists use computers to write code and store, modify, and visualize large datasets.
Degrees & Certificates
Certificates of Achievement
Data Science Fundamentals
The Data Science Fundamentals Certificate prepares students for careers as data analyst, data scientist, machine learning engineers, business analyst, computer systems analyst, logistics analyst, marketing analyst, and database managers. The multidisciplinary program provides the analytical, methodological, and programming skills required in data processing, information technology, business, and computing. The certificate will also serve as a foundation for continued education at four-year institutions.
Certificate Requirements
| Subject # | Title | Units |
| Introduction To Programming | Select one course from the following: | |
| CIS 006 | Introduction to Computer Programming | 5.0 |
| CIS 025 | Object Oriented Programming Using C++ | 4.0 |
| CIS 036A | Java Programming Language I | 4.0 |
| Introduction to SQL Programming | ||
| CIS 098 | Database Programming with SQL | 4.0 |
| Relational Databases and Business Applications | ||
| BUS 043B | Introduction to Microsoft Excel for Business Applications | 4.0 |
| Foundations in Data Science | Select one course from the following: | |
| CIS 118 | Foundations in Data Science | 4.0 |
| MATH 118 | Foundations in Data Science | 4.0 |
| Total Units | 16.0-17.0 | |
Program Learning Outcomes
Upon completion of this program a student will be able to:
1. Demonstrate the ability to apply statistical analysis of real world data using multiple representations such as graphs, text, or tables, being mindful of concerns around data bias and privacy.
2. Use programming and data analytics tools to make statistical inference on data and data sets using computational techniques.
3. Write computer scripts and programs to organize, produce visualizations, and numerical summaries of data and data sets.
Career Opportunities
A data science degree can open up a wide range of career options, including but not limited to:
- Data scientists
- Data analysts
- Machine Learning Engineers
- Business Intelligence analysts
- Data architects
- Other careers that use data
In addition to these specific roles, data science skills are in high demand in many fields, such as finance, healthcare, and marketing. A data science degree opens up career opportunities in a variety of industries.
Connected Labs & Programs
- Math Lab
- UC Berkeley Data Ambassadors
- Area of Interest: Science, Engineering & Math
