M.S. in Accountancy
The Master of Science (M.S.) in Accountancy program at San Francisco State University (...
M.S. in Data Science and Artificial Intelligence
San Francisco, California
INTAKE: Jan & Aug
Program Overview
The Master of Science (M.S.) in Data Science and Artificial Intelligence program at San Francisco State University (SFSU) is designed to prepare students for dynamic careers in the rapidly evolving fields of data science and artificial intelligence (AI). This STEM-designated program offers a comprehensive curriculum that equips graduates with the knowledge and skills required to excel in the data-driven industries of today and tomorrow.The M.S. in Data Science and Artificial Intelligence program at San Francisco State University is an excellent choice for students seeking a STEM-focused, interdisciplinary education in the dynamic fields of data science and AI. With a strong emphasis on practical skills, faculty expertise, and industry connections, graduates are well-prepared to embark on successful and fulfilling careers in this high-demand field. Whether aspiring to work for leading tech companies, conduct groundbreaking research, or start their own ventures, students in this program are equipped to make a significant impact in the world of data-driven innovation.
Curriculum:
1. STEM-Designated: The M.S. in Data Science and Artificial Intelligence program at SFSU is STEM-designated, indicating its focus on science, technology, engineering, and mathematics. This designation is valuable for international students seeking Optional Practical Training (OPT) and STEM extension benefits.
2. Cutting-Edge Curriculum: The program features a cutting-edge curriculum that covers a wide range of topics, including machine learning, deep learning, data analytics, natural language processing, computer vision, and big data technologies. Students gain hands-on experience with the latest tools and technologies used in the industry.
3. Interdisciplinary Approach: Data science and AI are interdisciplinary fields that require expertise in computer science, mathematics, statistics, and domain-specific knowledge. The program takes an interdisciplinary approach, ensuring that graduates are well-rounded professionals.
4. Faculty Expertise: Students have the opportunity to learn from experienced faculty members who are actively engaged in research and have real-world industry experience. Faculty expertise covers areas such as machine learning, computer vision, data mining, and AI ethics.
5. Practical Experience: The curriculum emphasizes practical skills and real-world applications. Students work on projects that simulate industry challenges, allowing them to build a strong portfolio of work that demonstrates their abilities to potential employers.
6. Capstone Project: In the final semester, students undertake a capstone project that allows them to apply their knowledge and skills to solve a complex problem or conduct research in data science or AI. This project provides valuable hands-on experience and can be a stepping stone to future employment.
7. Industry Connections: San Francisco State University's location in the heart of the San Francisco Bay Area, a global tech hub, provides students with access to industry professionals, networking events, and internship opportunities at top tech companies and startups.
8. Career Development: The program offers career development resources, including resume workshops, interview preparation, and job placement assistance. The university's strong connections with local and global tech companies enhance students' job prospects.
9. Research Opportunities: Students interested in research can collaborate with faculty on cutting-edge projects in data science and AI, contributing to advancements in these fields.
10. Graduates' Success: Graduates of the program have gone on to pursue diverse and lucrative careers as data scientists, machine learning engineers, AI specialists, data analysts, and research scientists in industries ranging from technology and finance to healthcare and government.
Location
San Francisco, California
Score
IELTS: 7
Tuition Fee
USD 15298
Entry Requirements for Postgraduate Programs
Application Fees : US$ 70
1. Academic Qualifications:
- Applicants should have completed a bachelor's degree or its equivalent from an accredited institution.
- The general academic requirement for admission is a minimum undergraduate GPA of 3.0 on a 4.0 scale or an equivalent of a "B" average.
2. English Language Proficiency:
- IELTS: An overall score of 7.0 or higher with no individual band score less than 6.5.
- TOEFL iBT: A minimum overall score of 80.
- PTE (Pearson Test of English): A minimum score of 65.
3. Standardized Tests:
- GRE: GRE score of 300 is required.
San Francisco State University (SFSU) offers various scholarships and financial aid opportunities to support international students in their academic pursuits. These scholarships can help alleviate the cost of tuition and living expenses.
1. SFSU Foundation Scholarships: SFSU offers a range of scholarships through its Foundation. These scholarships are available to both domestic and international students and cover various academic disciplines and criteria.
2. President's Scholarship for World Leaders: This prestigious scholarship is designed for incoming undergraduate international students who demonstrate academic excellence, leadership potential, and a commitment to making a positive impact in their communities.
3. Graduate Equity Fellowship: This fellowship supports underrepresented graduate students, including international students, by providing financial assistance and mentorship to help them succeed in their graduate programs.
4. College and Departmental Scholarships: Many SFSU colleges and departments offer scholarships specifically tailored to students within their academic programs. International students should inquire with their respective colleges about these opportunities.
5. External Scholarships: SFSU encourages international students to explore external scholarship opportunities, both in their home countries and through international organizations, to help fund their education in the United States.
6. Assistantships and Work-Study Programs: International graduate students may have opportunities to work as teaching or research assistants, which often come with tuition waivers and stipends.
7. Study Abroad Scholarships: SFSU promotes study abroad programs, and students may be eligible for scholarships to support their international experiences.
8. International Student Office Assistance: The International Student and Scholar Services (ISSS) office can provide information and guidance on scholarship opportunities available to international students.
9. Departmental Awards and Grants: Some academic departments may offer awards or grants to outstanding international students based on their academic achievements and contributions to their field of study.
10. Cultural and Exchange Scholarships: - International students participating in cultural exchange programs or representing their home countries may be eligible for scholarships related to cultural exchange and diplomacy.
It's essential for international students to research and apply for scholarships well in advance of their planned enrollment at SFSU. Each scholarship has specific eligibility criteria and application deadlines, so it's crucial to review the details and adhere to the application requirements. Additionally, maintaining good academic standing is often a requirement for scholarship renewal.
The Master of Science (M.S.) in Data Science and Artificial Intelligence program at San Francisco State University (SFSU) equips students with the knowledge and skills needed to thrive in the rapidly evolving field of data science and artificial intelligence (AI).
1. High Demand for Data Scientists and AI Specialists: The field of data science and AI is experiencing exponential growth across industries. Organizations are increasingly relying on data-driven insights and AI technologies to make informed decisions, creating a strong demand for skilled professionals.
2. Diverse Career Paths: Graduates of the M.S. program have access to a wide range of career opportunities. They can work in sectors such as finance, healthcare, e-commerce, technology, government, and more. Common job titles include data scientist, machine learning engineer, AI specialist, data analyst, and research scientist.
3. Competitive Salaries: Data science and AI professionals are among the highest-paid in the technology sector. The demand for their expertise has led to competitive salary packages and attractive benefits.
4. Startups and Tech Giants: San Francisco is home to numerous tech startups and industry giants like Google, Facebook, and Salesforce. Graduates have the opportunity to work for these established companies or contribute to innovative startups in the region.
5. Healthcare and Life Sciences: The healthcare and life sciences sectors are increasingly using data science and AI to improve patient care, drug discovery, and disease prevention. Graduates can pursue roles as healthcare data analysts, bioinformatics specialists, or AI researchers in these industries.
6. Financial Services: Financial institutions leverage data science and AI to enhance fraud detection, risk assessment, and trading strategies. Graduates can find rewarding careers as financial analysts, quantitative analysts, or data scientists in the finance sector.
7. Government and Public Policy: Government agencies use data science to inform policy decisions, improve public services, and enhance cybersecurity. Graduates can work as data analysts, policy advisors, or data privacy experts in the public sector.
8. Research and Academia: Some graduates may choose to pursue doctoral studies and enter academia or research institutions. They can contribute to cutting-edge research in AI, machine learning, and data science.
9. Entrepreneurship: The program also fosters an entrepreneurial spirit. Graduates with innovative ideas can start their own data-driven businesses or AI startups, taking advantage of the entrepreneurial ecosystem in the San Francisco Bay Area.
10. Networking Opportunities: San Francisco State University's location in the heart of Silicon Valley provides students with access to networking events, conferences, and industry professionals. This fosters valuable connections that can lead to internships and job opportunities.
