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California State University, Chico

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California

United States

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Program Rank

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20

The Master of Science in Data Science and Analytics at California State University, Chico is an innovative program designed to equip students with the advanced skills and knowledge required to thrive in the rapidly evolving field of data analytics. This comprehensive program blends theoretical foundations with practical applications, preparing graduates to tackle complex data problems in diverse industries. Over the course of 24 months, students will engage in a rigorous curriculum that includes cutting-edge courses such as Data Mining, Big Data Technologies, and Machine Learning. The curriculum is crafted to provide a solid grounding in statistical analysis, programming, and data visualization, creating a well-rounded educational experience that caters to the demands of the modern workforce.

The program’s curriculum is structured to provide depth and breadth in the field of data science. Core courses such as Data Structures, Statistical Methods, and Data Management Systems serve as the backbone of the academic experience, ensuring students gain proficiency in essential techniques and technologies used in data science today. Electives allow students to tailor their education to their interests, with options including Predictive Analytics, Healthcare Analytics, and Geospatial Analytics. By engaging in projects and case studies, students will apply their learning to real-world scenarios, enhancing their problem-solving abilities and analytical thinking.

A hallmark of the program is its distinguished faculty, who bring a wealth of academic and industry experience to the classroom. Faculty members are actively engaged in research, providing students with insights into the latest developments and trends in data science and analytics. Their teaching methodology emphasizes collaboration and hands-on learning, ensuring that students not only learn theoretical concepts but also how to implement them in practical situations. Faculty mentors provide personalized guidance, fostering an environment that encourages student initiative and innovation.

Research opportunities are abundant within the program, with access to cutting-edge facilities and resources. Students can participate in collaborative research projects that address contemporary issues in data science, often in partnership with industry leaders. This engagement not only enhances the learning experience but also provides valuable networking opportunities that can lead to internships and job placements. The program’s strong ties to local and national companies facilitate access to real-world projects and case studies, ensuring graduates are well-prepared for their future careers.

The career pathways available to graduates of the Master of Science in Data Science and Analytics are extensive. Alumni have successfully secured positions in a variety of sectors, including healthcare, finance, technology, and government. Job roles such as Data Scientist, Data Engineer, and Healthcare Data Analyst are just a few examples of the diverse opportunities that await graduates. The program boasts a median base salary of $110,000, reflecting the high demand for skilled data professionals in today's job market. Employers value the program's rigorous curriculum and the practical experience gained through internships and collaborative projects, making graduates highly competitive candidates.

Why Study Master of Science in Data Science and Analytics at California State University, Chico? This program stands out due to its commitment to academic excellence, practical application, and strong industry connections. Here are several compelling reasons to consider this program:

  • Comprehensive Curriculum: The program offers a robust curriculum that includes core courses in data science fundamentals and specialized electives tailored to current industry needs.
  • Expert Faculty: Learn from experienced faculty members who are leaders in the field, actively engaged in research and professional practice.
  • Research Opportunities: Engage in meaningful research projects that address real-world challenges and contribute to advancements in data analytics.
  • Industry Connections: Benefit from strong ties to local and national companies that facilitate internships and job opportunities.
  • Strong Career Outcomes: Enjoy a high employment rate, with graduates landing lucrative positions and a median base salary that reflects the demand for data professionals.

To be eligible for the Master of Science in Data Science and Analytics program, applicants must meet specific criteria. A minimum undergraduate GPA of 3.0 on a 4.0 scale is expected, showcasing a solid academic foundation. Additionally, prospective students must submit essential application documents, including a transcript, resume, a statement of purpose, and letters of recommendation from academic and professional sources. Although standardized language test scores such as TOEFL and IELTS are not required, non-native English speakers are encouraged to present these scores to demonstrate their proficiency.

The application process requires a fee of $70, along with the aforementioned documentation. The upcoming application deadline for Fall intake is March 1st, 2025. This time frame allows prospective students ample opportunity to gather their materials and present a compelling case for admission into this prestigious program.

In conclusion, the Master of Science in Data Science and Analytics at California State University, Chico, is an exceptional opportunity for individuals seeking to advance their careers in the high-demand field of data analytics. With a thorough curriculum, experienced faculty, and strong industry connections, graduates are well-prepared to excel in various roles and contribute meaningfully to their organizations. Whether you are looking to change career paths or enhance your current skill set, this program provides the tools and experiences necessary to succeed in a data-driven world. Join the ranks of our successful alumni and take the next step in your professional journey.

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Total Tuition Fees

$44,000

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Duration

24 Months

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Median Salary

$1,10,000

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

30

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Average Age

26

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Average Work Experience

2 Years

Diversity

California:

45%

United States:

43%

Others:

12%

Mexico:

5%

China:

3%

India:

2%

Vietnam:

1%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

65%

Prospective Job Roles

Data Engineer

Data Visualization Specialist

Clinical Data Analyst

Data Governance Specialist

Healthcare Data Analyst

Vital Statistics Data Analyst

Database Administrator

Spatial Data Scientist

Archivist

Data Scientist

Big Data Engineer

Data Architect

Medical Data Analyst

Data analyst

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

English Proficiency Tests

  • TOEFL

    80

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  • DUOLINGO

    125

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 70

  • intake

    Transcript

  • intake

    Passport

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    Statement of Purpose

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    Resume

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    IELTS

  • intake

    Academic LOR

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    Professional LOR

Application Deadlines

Standard Deadline
FallMar 1, 2025

Fees and Funding

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Tuition Fees

$22,000 / year

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Overall Cost

$38,000 / year

FAQs

  • The MS in data science is a 34-unit program which will take 2 years

  • Students from any discipline can enter the program, including nutrition, agriculture, bioinformatics, journalism, political science, and even the digital humanities. For students with backgrounds in technical areas such as mathematics, statistics, or computer science, the machine learning track will provide deeper and more technical training that would prepare them for high-paying jobs in tech.

  • 100000 US dollars

  • A fascination with data and how it can be used to understand the world around us Enjoy solving problems to inform high-level decisions that are critical in our current global society, both for social and scientific benefit. A desire to learn about artificial intelligence, machine learning, and statistical analysis Interested in a dynamic career in big data analysis and cloud computing

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