About Data Science Ms in University of San Francisco
The mission of our program is to produce graduates who possess a theoretical and practical understanding of many classical and modern statistical modeling and machine learning techniques; who use contemporary programming languages to scrape, clean, organize, query, summarize, visualize, and model large volumes and varieties of data; and who use their knowledge and skills to successfully solve real-world data-driven business problems and to communicate those solutions effectively.
Program Learning Outcomes
Students will:
- Possess a theoretical understanding of classical statistical models (e.g., generalized linear models, linear time series models, etc.), as well as the ability to apply those models effectively
- Possess a theoretical understanding of machine learning techniques (e.g., random forests, neutral networks, naive Bayes, k-means, etc.), as well as the ability to apply those techniques effectively
- Effectively use modern programming languages (e.g., R, Python, SQL, etc.) and technologies (AWS, Hive, Spark, Hadoop, etc.) to scrape, clean, organize, query, summarize, visualize, and model large volumes and varieties of data
- Prepare for careers as data scientists by solving real-world, data-driven, business problems with other data scientists, and understand the social, ethical, legal, and policy issues that increasingly challenge and confront data scientists
- Develop professional communication skills (e.g., presentations, interviews, email etiquette, etc.), and begin integrating with the Bay Area data science community
Academic qualification equivalents
- Individual university mark sheets for every year with marks obtained and course titles;
Provisional degree certificates or final degree certificates.
English language requirements
PROGRAMS |
DUOLINGO
ENGLISH
TEST |
TOEFL
INTERNET
(IBT) |
MINIMUM
IBT
SUBSCORE |
IELTS |
PTE ACADEMIC |
College of Arts and Sciences |
Applied Economics, Computer Science, Computer Science Bridge, International and Development Economics, Sport Management |
115 |
79 |
17 |
6.5 |
53 |
Asia Pacific Studies, Biotechnology, Chemistry, Data Science, Energy Systems Management, Environmental Management, Intl Studies, Migration Studies, Museum Studies, Professional Communication |
115 |
90 |
17 |
6.5 |
61 |
Biology, Public Leadership, Urban and Public Affairs, Writing |
115 |
100 |
17 |
7.0 |
65 |
School of Education |
Master's Programs |
115 |
92 |
20 |
7.0 |
62 |
Doctoral Programs |
120 |
100 |
20 |
7.0 |
68 |
School of Management |
All Programs |
120 |
92 |
|
6.5 |
62 |
School of Nursing and Health Professions |
Entry-level MSN, PsyD, and DNP |
125 |
100 |
|
7.0 |
68 |
All Other Programs |
115 |
90 |
|
6.5 |
68 |
San Francisco State University Cost of Attendance
- Tuition, books and supplies, accommodation and board, transportation, and incidental fees are all included in the cost of studying in the United States.
- The cost of attendance for a full-time undergraduate student living on campus is listed below:
The university has a set tuition charge, as well as other costs, and the undergraduate full-time tuition fee and cost of attendance are as follows:
Description |
On-campus expense |
Off-campus expense |
Tuition fee |
7,440 USD |
7,440 USD |
Books and supplies |
1,038 USD |
1,038 USD |
Food and housing |
15,950 USD |
17,922 USD |
Personal expenses |
2,058 USD |
2,770 USD |
Transportation |
1,094 USD |
1,482 USD |
Total |
27,580 USD |
30,652 USD |
The graduate students cost of attendance will be:-
Type |
Fee |
Credential |
2,566 USD to 3,964 USD |
Master’s degree, second baccalaureate |
2,716 USD to 4,222 USD |
Doctorate |
6,553 USD |
Non-resident tuition fee |
396 USD per unit |
MBA, MSA, MSBA |
0 to 6.0 units- 700 USD 6.1 or more- 1,200 USD Professional program fee- 270 USD |
Masters of public administration |
0 to 6.0 units- 430 USD 6.1 or more- 850 USD per semester |