Grand Canyon University’s Bridge (Master of Science in Data Science) program provides an accelerated pathway for those interested in pursuing a rewarding career in data science. This bridge program serves as an introduction to data science and is available for anyone with a bachelor’s degree in any field who wishes to enter into GCU’s Master of Science in Data Science offered by the College of Science, Engineering and Technology. Students will gain the foundation necessary to begin their academic journey toward a future in data science and business analytics.
Data science is an ideal career path for those with a passion for data analysis, research and uncovering hidden information, as well as for those with a curiosity for how data can impact a wide range of fields. These fields include biology, medicine, cybersecurity, transportation, climate research, psychology, sports and more. Professionals who have strong analytical, strategizing and problem-solving skills, or a desire to develop and strengthen these skills, are set up to excel in the bridge and master’s programs.
What is a Data Science Bridge Program?
In this bridge program, students will take four courses and earn 16 credits to prepare to move into the corresponding graduate program. The program is offered 100 percent online to meet the needs of the adult learner, which allows working professionals to continue to work full-time while completing the program.
Students will be introduced to the fast-advancing digital landscape and how data science and analysis can drive organizations forward successfully as well as make a difference in the world, from discovering causes of disease and climate change to observing people migration patterns. The program begins with a highly rigorous class for primarily mathematics, science and engineering students with the goal to impart concepts and techniques of modern linear algebra. As students move through the program, they will acquire a foundation in probability and statistics, calculus and computer programming that go into detail below.
Learn Fundamentals for a MS in Data Science
Students will gain competencies in the following areas that will prepare them for the next step.
- Applied Linear Algebra I: Learn linear algebra concepts and apply theory to examples, emphasizing the practical nature of solutions to linear algebra problems.
- Probability and Statistics: Study the basics of probability, descriptive and inferential statistics, and decision making.
- Calculus for Science and Engineering I: Understand the rigorous treatment of concepts and methods of elementary calculus and how it applies to real-world problems.
- Computer Programming I: Learn fundamental concepts of the Java programming program focusing on object-oriented techniques, problem solving and fundamental algorithms.
Next Steps After a Data Science Bridge Program
Students are encouraged to move directly into the Master of Science in Data Science degree program to not lose momentum. As the next step, the master’s program shapes students into data science professionals who are equipped with the technical skills to fulfill roles in data science, data and business analytics and analytics management. These are roles for those who want to explore big data to make discoveries beneficial to businesses, use new technologies for research, specialize in the data lifecycle and become a forward thinker who leads impactful business decisions making.
According to Glassdoor rankings, data science is the number one best job in America as of 2018 with high job satisfaction and fast-growing job openings. Due to the shortage of data science professionals, graduates have expansive occupational opportunities and high earnings potential. See GCU’s Master of Science in Data Science page for an overview of the program and a list of potential career opportunities and workplace settings.
* Please refer to the Academic Catalog for more information. Program subject to change.