M.A. in Counseling and Guidance
The M.A. in Counseling and Guidance program at San Jose State University is designed to...
B.S. in Data Science
San Jose, California
INTAKE: Jan & Aug
Program Overview
The B.S. in Data Science at San Jose State University equips students with the skills and knowledge to extract insights from large datasets, apply statistical analysis and machine learning techniques, and communicate findings effectively. This interdisciplinary program integrates computer science, statistics, and domain-specific knowledge to prepare graduates for careers in data-driven industries.
STEM-Designated: Yes, the B.S. in Data Science is STEM-designated, emphasizing rigorous education in science, technology, engineering, and mathematics. This designation supports international students seeking to extend their stay in the United States through Optional Practical Training (OPT) after graduation.
Curriculum: The curriculum covers foundational topics such as programming languages (Python, R), data visualization, database management, statistical methods, machine learning, and big data technologies. Students engage in hands-on projects, case studies, and capstone experiences to develop practical skills in data analysis and decision-making.
Research Focus: Students have opportunities to participate in research projects that explore advanced topics in data science, such as natural language processing, computer vision, predictive modeling, and data ethics. Faculty-led research initiatives align with industry trends and address real-world challenges in data-driven innovation.
Industry Engagement: The program collaborates closely with industry partners, including technology companies, financial institutions, healthcare organizations, and government agencies. Students benefit from internships, co-op programs, and industry-sponsored projects that provide exposure to real-world datasets and industry practices.
Global Perspective: With a focus on global data challenges and opportunities, the program encourages students to explore international datasets, cultural influences on data analytics, and global regulatory frameworks for data privacy and security. Global perspectives are integrated into coursework, research projects, and study abroad opportunities.
Location
San Jose, California
Score
IELTS 6
Tuition Fee
USD 17403
Undergraduate Entry Requirements
Application Fees: US$ 70
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 61 or higher.
- PTE: Overall score of 44 or higher.
- DET (Duolingo English Test): Minimum score of 105.
San Jose State University (SJSU) offers a variety of scholarships and financial aid opportunities to support international students in pursuing their academic and career goals. These scholarships are awarded based on academic merit, leadership potential, extracurricular involvement, and other criteria.
International Student Scholarship: SJSU offers the International Student Scholarship to outstanding international students who demonstrate academic excellence and leadership potential. The scholarship amount varies and is renewable each year, provided the recipient maintains the required GPA.
SJSU Merit Scholarships: International students are eligible to apply for various merit-based scholarships offered by SJSU. These scholarships are based on academic achievements and may cover partial or full tuition fees.
San Jose State University Honors Program Scholarship: The Honors Program at SJSU offers scholarships to academically talented international students who join the program. These scholarships provide financial assistance and may also offer opportunities for research and leadership development.
College and Departmental Scholarships: SJSU's colleges and departments may offer scholarships specifically for international students pursuing studies in particular fields or disciplines. These scholarships aim to support students' academic endeavors and may have specific eligibility criteria.
External Scholarships: SJSU encourages international students to explore external scholarship opportunities from organizations, governments, and foundations in their home countries. Some of these scholarships may be applicable to study at SJSU.
Privately Funded Scholarships: International students may also apply for privately funded scholarships and grants that are not administered by the university. These scholarships are often based on various criteria, such as financial need, academic performance, and community involvement.
Athletic Scholarships: SJSU's athletic program provides scholarships to student-athletes, including international athletes, who excel in sports. These scholarships cover tuition, fees, and other expenses related to their participation in university sports teams.
Graduates of the B.S. in Data Science program at San Jose State University are equipped with the skills and knowledge to pursue rewarding careers in data analysis, machine learning, artificial intelligence, and related fields.
Data Scientist: Data scientists analyze large datasets to extract actionable insights using statistical analysis, machine learning algorithms, and data visualization techniques. They work in diverse industries, including technology, finance, healthcare, and retail, to inform business decisions and drive innovation.
Machine Learning Engineer: Machine learning engineers develop and deploy algorithms that enable machines to learn from data and make predictions or decisions autonomously. They design machine learning models, optimize algorithms for scalability, and collaborate with software developers to integrate solutions into applications.
Data Engineer: Data engineers build and maintain data pipelines and infrastructure that enable efficient data collection, storage, and retrieval. They design databases, implement ETL (Extract, Transform, Load) processes, and ensure data quality and reliability for use in analytics and business intelligence.
Business Intelligence Analyst: Business intelligence analysts transform data into actionable insights that support strategic decision-making within organizations. They create dashboards, conduct performance analysis, and communicate data-driven recommendations to stakeholders to improve operational efficiency and profitability.
Data Analyst: Data analysts collect, clean, and analyze data to identify trends, patterns, and correlations that provide insights into business operations and customer behavior. They use statistical tools and programming languages to interpret data and generate reports that support organizational goals and objectives.
Quantitative Analyst (Quant): Quants develop mathematical models and algorithms to analyze financial markets, manage investment portfolios, and assess risk. They apply statistical analysis and machine learning techniques to predict market trends and optimize trading strategies for financial institutions and hedge funds.
Research Scientist: Research scientists in data science conduct studies and experiments to advance knowledge in areas such as artificial intelligence, natural language processing, computer vision, and data ethics. They publish research findings, collaborate with interdisciplinary teams, and contribute to academic and industry research projects.
Healthcare Data Analyst: Healthcare data analysts analyze medical and healthcare data to improve patient outcomes, enhance healthcare delivery systems, and support clinical decision-making. They work in hospitals, healthcare organizations, and research institutions to leverage data for evidence-based medicine and public health initiatives.
Data Consultant: Data consultants provide expertise to businesses on data strategy, analytics implementation, and data-driven decision-making. They assess data needs, develop customized solutions, and advise clients on best practices for data governance, privacy, and security across industries.
AI Specialist: AI specialists focus on developing and implementing artificial intelligence solutions that automate processes, optimize workflows, and enhance user experiences. They collaborate with cross-functional teams to deploy AI applications in areas such as robotics, autonomous vehicles, and smart systems.
