Applied Data Science, M.S.

Program Description:

The Master of Science in Applied Data Science program aims to admit students from various backgrounds with undergraduate training in quantitative fields (e.g., engineering, physics, math, statistics). Applicants are expected to have some experience in programming and probability/statistics. The objective of this Applied Data Science program is to provide training in various aspects of the data lifecycle. Students will learn techniques in data collection, data cleaning, data integration, data management, and data visualization, as well as the theories and techniques necessary for data analysis from data mining, machine learning, information retrieval, and artificial intelligence. 

The program is designed to help students develop analytical, problem-solving, and practical skills in computer science through advanced coursework, directed software development, and supervised research and independent studies. Students should acquire sufficient and requisite knowledge in the discipline as well as critical thinking, and oral and written communication skills to qualify them for highly technical positions in the industry and to enable them to be successful in a doctoral program in computer science. 

Program Coordinators:
Dr. Haiyan Qiao (for Admissions)
Phone: 909-537-5326
Email: hqiao@csusb.edu
Location: JB-341

Dr. Jennifer Jin (for Academic Advising)
Phone: 909-537-5330
Email: Jennifer.Jin@csusb.edu
Location: JB-338

Computer Science's Department Page

Application Requirements:

• $70 Application fee
• Prior college transcripts (unofficial accepted)
• A baccalaureate degree from an accredited college or university
• Personal statement

* For international students, the application deadlines may differ. To confirm the correct deadline, please check the International Education website. If the deadline listed above is earlier than the one on the website, please follow the deadline provided here.

Application Details:

In addition to the general requirements of the university, specific requirements for admission are:

• Official transcript(s) confirming at least a Bachelor's Degree from an accredited institution, preferably but not necessarily accredited by an accreditor endorsed by the Council for Higher Education Accreditation (CHEA);
• Applicants with unaccredited Bachelor's Degrees can be considered for admission on a case-by-case basis;
• Transcripted studies should reflect adequate preparation for study in the relevant graduate program;
• Programming experience equivalent to CSE 2020 and coursework in statistics and probability equivalent to Math 2265 and Math 3460;
• A minimum GPA of 3.0 is preferred. Applicants with a GPA below 3.0 but above 2.5 will be considered on a case-by-case basis.