The Master of Science (MS) in Data Science program at the Halıcıoğlu Data Science Institute (HDSI) aims to equip students with the knowledge and skills necessary for data-driven tasks and to foster future researchers who can advance the field of Data Science. The program consists of formal courses and a choice between a thesis or comprehensive examinations for degree completion. Students will complete a total of twelve 4-unit courses, divided into Foundational (Group A), Core (Group B), and Elective (Group C) requirements. These ensure exposure to fundamental concepts, advanced topics, and current research or applications in Data Science. Foundational courses cover programming, data organization, linear algebra, probability, statistics, and optimization. Core courses build upon these fundamentals, with specific required courses and a selection of others. Electives allow for specialization within data science or in related fields, subject to advisor approval. Upon completion of coursework, students can pursue either a Thesis (Plan I) or a Comprehensive Examination (Plan II). The Thesis option involves 8-12 units of Thesis Research (DSC 299) under faculty guidance. The Comprehensive Examination option assesses a student's ability to apply data science knowledge across Machine Learning/Computing, Math/Statistics, and Systems/Algorithms, typically evaluated through specific course assignments or exams.
The MS in Data Science program requires completion of twelve 4-unit courses (48 units total), with at least 40 units from graduate-level courses. The curriculum is structured into Foundational, Core, and Elective components.
Graduates of the MS in Data Science program are prepared for a variety of roles in academia and industry. The program aims to produce professionals capable of performing data-driven tasks and contributing to the advancement of the data science field.
Students admitted to the MS program who have already completed equivalent graduate-level foundational courses may petition to waive those requirements and potentially use them to waive prerequisites for Group B & C courses.
Tuition and fees are subject to change. The estimated cost of attendance may include additional expenses such as books, supplies, personal expenses, and transportation. The UC San Diego Mandatory Student Health Insurance Plan (UC SHIP) fee is approximately $6,600 annually and may be waived if equivalent private insurance is held.
UC San Diego is accredited by the WASC Senior College and University Commission (WSCUC).
For self-supporting programs like the MS in Data Science, the estimated annual tuition and fees for international students are approximately $63,501. This figure does not include additional potential costs such as health insurance.
Estimated annual living expenses for food and housing for graduate students living off-campus are approximately $31,548. This amount can vary based on individual lifestyle and accommodation choices.
The program requires completion of twelve 4-unit courses (48 units total). Students can choose between a thesis or comprehensive examination option for degree completion, which impacts the overall program duration.
Graduates are prepared for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Researcher in academia and industry. The program focuses on developing skills for data-driven tasks and advancing the field of data science.
A bachelor's degree is required for admission, and a strong academic record is expected. Specific GPA requirements are not listed. International applicants must also meet English proficiency requirements, with common tests including TOEFL, IELTS, and Duolingo English Test.
Required documents include academic transcripts, letters of recommendation, a statement of purpose, resume/CV, and English proficiency test scores. GRE scores may also be required, and applicants should check the HDSI website for specifics.