Master of Science in Data Analytics

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Immerse 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, 2024

    Fall 2025 application cycle for domestic: October 1 - May 1, 2025
    Fall 2025 application cycle for international: October 1 - April 1, 2025

    Domestic Application Deadline: May 1, 2025
    Domestic Document Deadline: May 20, 2025
    International Application Deadline: April 1, 2025
    International Document Deadline: April 20, 2025

    Regular 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, 2024

    Fall 2025 application cycle for domestic: October 1 - March 1, 2025
    Fall 2025 application cycle for international: October 1 - February 1, 2025

    Domestic Application Deadline: March 1, 2025
    Domestic Document Deadline: March 20, 2025
    International Application Deadline: February 1, 2025
    International Document Deadline: February 20, 2025

    *These dates are not final and are subject to change.

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