Master of Science in Data Analytics
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MS in Speech-Language PathologyImmerse deep into the realms of data analytics, data engineering, and cutting-edge generative AI models such as Large Language Models (LLM) with the Master of Science in Data Analytics (MSDA), crafted in collaboration with industry leaders from Silicon Valley. Over the span of two years, you can complete this comprehensive 30-unit program, paving the way for advanced careers in data-centric fields. It offers two specializations focusing on analytics technologies and data engineering. As a result, more than 150 Silicon Valley companies have employed our students for internships and permanent positions.
The Applied Data Science Department offers interdisciplinary programs, collaborates with Silicon Valley professionals, and specializes in data analytics, data engineering, data science, and cutting-edge generative AI models to meet growing demands for applying data science expertise to solve real-world data challenges.
Silicon Valley is renowned for its pioneering role in the AI economy and the surging need for skilled professionals driven by the rapid expansion of intelligent applications. The department maintains curriculum relevance by consulting top data professionals and companies. Local professionals engage with students through teaching, seminars, internships, and project supervision. Faculty collaborate with industry partners to regularly update the curriculum, ensuring students gain current skills to support regional innovations.
The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science. In order to address the immense demands of data science professionals, the department launched an MS in Data Analytics program in August 2018. The MS in Data Analytics program provides students with the advanced education necessary to develop applied data science solutions. This includes processing and analyzing data from multiple sources, building data pipelines, extracting insights, and developing full-stack solutions. By leveraging data engineering, applied data science, and analytical skills, students learn to tackle practical problems comprehensively from start to finish.
The MSDA program offers two sessions: Regular Session and Special Session.
Regular Session and Special Session students must meet the same graduation requirements and will receive the same diploma when they graduate.
Program Snapshot
30
units
10
courses
Fall, Spring
admission
Program Features
STEM degree program
Classified as a Science, Technology, Engineering, and Math (STEM) degree program and meets course requirements for F-1 visa holders.
Expert faculty
Learn from industry experts and academic faculty who offer a range of data analytics knowledge and skills.
Career growth
According to the Bureau of Labor Statistics, Computer, and Information Research Scientist careers are growing at a rate of 21%, much faster than the average for other careers, which is between 5-8%.
Career Opportunities
More than 150 Silicon Valley companies have employed MSDA students for internships and permanent positions. Some companies include Adobe, Airbnb, Amazon, Capital One, Cisco, Facebook/Meta, Google/Alphabet, IBM, Intel, Intuit, Juniper, Lucid, PayPal, Tesla, Uber, Visa, VMWare, and Waymo.
Apply for the Program
Learn more about how to apply below.
- Admission Requirements
- A bachelor's degree from a regionally accredited institution and achieved a GPA of at least 3.0 (on a 4.0 scale) in the bachelor's degree institution or in the last 60 semester or 90 quarter units of all coursework.
- At least one semester each of college calculus, statistics, and programming courses.
- GRE and GMAT scores and recommendation letters are not required.
For further details and specifics visit the program site.
*Meeting the minimum requirements does not guarantee admission into the program.
- How to Apply
For details on how to apply please visit the Application Steps page.
- Application Deadlines
Special Session
Spring 2025 application cycle for domestic: August 1 - November 1, 2024
Spring 2025 application cycle for international: August 1 - October 15, 2024
Domestic Application Deadline: November 1, 2024
Domestic Document Deadline: November 20, 2024
International Application Deadline: October 15, 2024
International Document Deadline: October 20, 2024Fall 2025 application cycle for domestic: October 1 - May 1, 2025
Fall 2025 application cycle for international: October 1 - April 1, 2025Domestic Application Deadline: May 1, 2025
Domestic Document Deadline: May 20, 2025
International Application Deadline: April 1, 2025
International Document Deadline: April 20, 2025Regular Session
Spring 2025 application cycle for domestic: August 1 - October 1, 2024
Spring 2025 application cycle for international: August 1 - October 1, 2024
Domestic Application Deadline: October 1, 2024
Domestic Document Deadline: October 20, 2024
International Application Deadline: October 1, 2024
International Document Deadline: October 20, 2024Fall 2025 application cycle for domestic: October 1 - March 1, 2025
Fall 2025 application cycle for international: October 1 - February 1, 2025Domestic Application Deadline: March 1, 2025
*These dates are not final and are subject to change.
Domestic Document Deadline: March 20, 2025
International Application Deadline: February 1, 2025
International Document Deadline: February 20, 2025
Connect with fellow MSDA alumni and stay updated! Explore our LinkedIn page.
Check back for future information sessions.
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Contact Information
Email us
ms-data-analytics@sjsu.edu
