UCLA MS in Data Science Eligibility Requirements
The table below outlines the eligibility criteria for admission into the UCLA MS in Data Science program, including academic qualifications, test scores, and language proficiency, to help prospective students understand the key requirements.
Eligibility Requirement
Details
Academic Qualification
Bachelor's degree with a minimum GPA of 3.0 in upper division undergraduate study
GRE Score
Optional, but highly recommended
TOEFL/IELTS
Required for non-native English speakers, IELTS accepted
Prerequisite Courses
Calculus I & II, Linear Algebra, basic programming knowledge in R
Work Experience
Not required, but relevant experience in data science is viewed favorably
Letters of Recommendation
Two letters of recommendation letters are required, and a third letter is optional.
Statement of Purpose
A statement outlining the academic background, research or work experience, and career goals is required.
Transcripts
Original transcripts from all institutions attended; required upon admission
Any Any Discipline degree
UG Requirement
Test Scores Requirement
| Exam | Requirement |
|---|---|
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Program Eligibility URL:https://www.msol.ucla.edu/data-science-engineering/admissions/international-students/
University of California M.S in Data Science Rankings
About UCLA
UCLA, or the University of California, Los Angeles, is a renowned public research university located in the vibrant city of Los Angeles. Established in 1919, UCLA has grown to become one of the leading institutions in the world, known for its commitment to education, research, and public service. With over 46,000 students enrolled in various undergraduate and graduate programs, UCLA offers a diverse and inclusive environment that fosters academic excellence and innovation.
The university is home to a highly distinguished faculty, including Nobel Prize winners and members of prestigious academies. UCLA's research initiatives span across a wide range of disciplines, making significant contributions to society and advancing knowledge on a global scale. The campus is also recognized for its cultural and athletic achievements, with a strong tradition in both fields.
In addition to its academic prowess, UCLA is dedicated to creating a community that values diversity, inclusion, and freedom of expression, preparing students to become leaders in a global society.
UCLA MS in Data Science Program Description
The UCLA MS in Data Science program is part of the UCLA Samueli School of Engineering and offers a specialized track under the Master of Science in Engineering with a Certificate of Specialization in Data Science Engineering. This program is designed to equip students with both the theoretical knowledge and practical skills needed to manage and analyze large datasets effectively.
The curriculum combines core courses in data science with electives that allow students to tailor their studies according to their interests. Key areas of focus include machine learning, deep learning, data mining, and distributed computing systems. The program also emphasizes the ethical use of data and responsible AI, preparing graduates to address real-world challenges across various industries.
Students can complete the program on a part-time basis in just over two years, with all courses offered online to accommodate working professionals. The program is highly flexible, with the option to start in either the Fall or Spring quarter.
Program URL:https://master.stat.ucla.edu/
UCLA MS in Data Science Program Curriculum
Program Curriculum URL:https://www.msol.ucla.edu/data-science-engineering/curriculum/
The elective course for UCLA MS in Data Science program are as follows:
Core Courses
The core courses consist of the following seven courses in statistical theory and methods:
- Introduction to Probability Models
- Survey of Methods in Modern Statistics
- Applied Regression
- Mathematical Statistics
- Statistical Computing and Programming
- Data Management
- Advanced Statistical Communication
University of California M.S in Data Science Acceptance Rate
UCLA MS in Data Science Fee Structure
The UCLA MS in Data Science program offers a comprehensive fee structure designed to provide transparency and clarity for prospective students. The program requires 36 units for completion, with a cost per unit set at $1,100. This brings the total tuition for the program to $39,600.
Category
Cost
Total Program Tuition fees
$39,600
Application Fee
$155 ( for International applicants)
Annual Tuition (for non-California residents)
$33,238
Application Documents for University of California M.S in Data Science
Mandatory Application Documents
10th Marksheet
12th Marksheet
College Transcript
Semester Marksheets
IELTS/TOEFL/DTE/PTE
University of California M.S in Data Science Deadlines
University of California M.S in Data Science Admission Process
The admission process for the UCLA MS in Data Science program involves several key steps. Applicants must hold a bachelor’s degree from a regionally accredited institution in an engineering discipline, mathematics, computer science, or physics with a GPA of at least 3.0 in the last two years of undergraduate coursework. Proficiency in computer programming, particularly in Python, is also required.
To apply, you need to submit an online application, including official transcripts, a résumé, three letters of recommendation, a statement of purpose, and a personal statement. GRE scores may be required unless waived based on the strength of your application portfolio. International students must also provide TOEFL or IELTS scores.
The program offers two application periods each year, with start dates in the Fall and Spring. Decisions are made on a rolling basis, and the application deadline for the Spring 2025 intake is December 1, 2024.
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Start My Prep NowEmployment, Salary & Career Statistics
The UCLA MS in Data Science program provides graduates with excellent career prospects across a variety of sectors. Thanks to the program’s strong focus on practical data science skills, graduates are prepared to enter fields like technology, finance, healthcare, consulting, and government. These sectors offer competitive salaries and a range of exciting job opportunities for UCLA MS in Data Science alumni.
1. Technology
In the technology sector, graduates often find roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Analyst. The average salary in this sector ranges from $110,000 to $150,000, reflecting the high demand for skilled data professionals.
2. Finance
Finance offers roles like Quantitative Analyst, Financial Data Analyst, Risk Analyst, and Actuarial Analyst. Professionals in this field can expect an average salary between $100,000 and $130,000, showcasing the sector’s lucrative opportunities for data science graduates.
3. Healthcare
For those entering the healthcare sector, job roles include Healthcare Data Analyst, Clinical Data Scientist, Biostatistician, and Epidemiologist. The average salary in healthcare ranges from $90,000 to $120,000, highlighting the sector’s commitment to integrating data science into health and medical research.
4. Consulting
Consulting provides opportunities as an Analytics, Data Science, or Strategy Consultant. Graduates can earn between $100,000 and $150,000 on average, indicating a strong demand for data expertise in the consulting industry.
5. Government and Non-Profit
In government and non-profit sectors, typical job roles include Data Analyst, Policy Analyst, Research Analyst, and Program Evaluation Specialist. The average salary here ranges from $70,000 to $100,000, reflecting the sector’s varied approach to data-driven decision-making.
The table below summarizes the job roles and average salaries for different sectors available to UCLA MS in Data Science program graduates.
Sector
Job Roles
Average Salary
Technology
Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
$110,000 - $150,000
Finance
Quantitative Analyst
Financial Data Analyst
Risk Analyst
Actuarial Analyst
$100,000 - $130,000
Healthcare
Healthcare Data Analyst
Clinical Data Scientist
Biostatistician
Epidemiologist
$90,000 - $120,000
Consulting
Analytics Consultant
Data Science Consultant
Strategy Consultant
$100,000 - $150,000
Government and Non-Profit
Data Analyst
Policy Analyst
Research Analyst
Program Evaluation Specialist
$70,000 - $100,000
100,000
Average Starting Salary
University of California M.S in Data Science Employment Statistics
The UCLA MS in Data Science program has a strong track record of preparing students for successful careers in data-centric roles across various industries. With a focus on practical applications and real-world experience, graduates are well-equipped to meet the demands of the job market. The program's emphasis on diversity and inclusion creates a supportive learning environment, fostering collaboration and innovation among students, which is essential for thriving in today’s competitive workplace.
The table below highlights key employment statistics for graduates of the UCLA MS in Data Science program.
Aspect
Description
Post-Graduation Outcomes
Employed: 90%, Continued Education: 5%, Unemployed: 5%, Did not seek employment: 0%
Three-Year Average Salary
$100,000
Gender Distribution
Approximately 35% female
Ethnicity Distribution
Approximately 7% racial-ethnic minority
Number of Degrees Awarded
150 Master's degrees in the most recent academic year
Companies Recruiting University of California M.S in Data Science Graduates
The table below highlights some of the top recruiters in each sector that actively seek graduates from the UCLA MS in Data Science program.
Sector
Top Recruiters
Technology
Amazon, Google, Microsoft, Apple, Meta, Uber, Snap
Finance
JPMorgan Chase, Goldman Sachs, Bank of America, Citigroup, BlackRock
Consulting
McKinsey & Company, Boston Consulting Group, Bain & Company, Deloitte, PwC
Healthcare
Kaiser Permanente, Cedars-Sinai, UCLA Health, Amgen, Genentech
Government/Non-Profit
NASA, U.S. Census Bureau, World Bank, United Nations, Rand Corporation
Employment Overview URL: https://www.msol.ucla.edu/data-science-engineering/careers/
Letter of Recommendation for University of California M.S in Data Science
When applying to the UCLA MS in Data Science program, strong Letters of Recommendation (LORs) are crucial. You need two letters from people who know your work or academic performance well, such as supervisors or professors. A third letter is optional but can add extra support. Here’s how to make your LORs stand out:
Statement of Purpose for University of California M.S in Data Science
When applying to the UCLA MS in Data Science program, your Statement of Purpose (SOP) is crucial. It’s your opportunity to show how your academic background, work experience, and interests align with the program. You can also explain your career goals and how this program will help you achieve them. Here are some simple tips for writing a strong SOP:
University of California M.S in Data Science Scholarships available for International Students
The UCLA MS in Data Science program offers several scholarship opportunities to help international students manage the costs of their graduate education. These scholarships can come from both university-specific sources and external organizations. Here’s a look at some of the options available:
What makes UCLA unique?
UCLA stands out as a world-renowned institution known for its exceptional academics, vibrant campus life, and commitment to innovation and public service. As one of the top public universities in the United States, UCLA attracts students from around the globe who are eager to be part of its dynamic community and take advantage of the countless opportunities for personal and professional growth.
Here’s what makes UCLA truly unique:
University of California M.S in Data Science Contact Information
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Conclusion: Should you apply to University of California M.S in Data Science?
In conclusion, the UCLA MS in Data Science program offers a compelling opportunity for those looking to excel in the dynamic field of data science. With its hands-on curriculum, experienced faculty, and strong industry connections, the program prepares students for successful careers across various sectors. If you're eager to advance your skills and make a significant impact in data science, applying to the UCLA MS in Data Science could be a pivotal step toward achieving your goals.
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UCLA's admissions process is holistic and multifaceted. They seek academically talented students who are well-rounded and capable of contributing to the campus community.
Academically, strong performance in challenging courses is essential. UCLA values applicants who have taken advanced coursework like AP or IB classes. High standardized test scores can also enhance your profile.
Extracurricular involvement is crucial. UCLA looks for leadership, initiative, and commitment through activities such as sports, arts, volunteer work, or part-time jobs. Personal characteristics like resilience, creativity, and willingness to take risks are also important. Your personal statement should showcase your unique experiences and challenges.
Diversity is a key aspect, with UCLA aiming to build a student body reflecting various backgrounds and perspectives. Highlighting your unique cultural, socioeconomic, or personal experiences can add depth to your application.
Lastly, demonstrating enthusiasm for UCLA and how you plan to engage with their dynamic, inclusive, and innovative environment can make your application compelling.
UCLA offers a vibrant and diverse range of extracurricular activities that cater to the varied interests of its student community. With over 1,200 clubs and organizations, students have ample opportunities to engage beyond the classroom.
Sports and Recreation: UCLA boasts extensive sports facilities including 15 multipurpose workout spaces and six pools. The university offers both varsity and club sports, ranging from basketball and soccer to rowing and sailing at the UCLA Marina Aquatic Center in Marina Del Rey. The intramural sports program includes 30 leagues, tournaments, and special events, providing a competitive yet fun environment for all skill levels.
Arts and Culture: The arts are a significant part of UCLA’s extracurricular landscape. Students can get involved with various creative pursuits, such as the Animation Student Organization, Bruin Gaming, and the Synthesis Dance Theater. The Student Committee for the Arts (SCA) collaborates with the Center for the Art of Performance to promote performing arts on campus. Opportunities also abound in music, theater, and visual arts, including a cappella groups, film and photography societies, and more
Academic and Professional Development: UCLA’s academic clubs cover a wide range of disciplines, from the Biomedical Engineering Society to the Bruin Advertising and Marketing Team. These clubs provide networking opportunities, peer-to-peer tutoring, and real-world experience through projects and competitions
Community Service and Leadership: UCLA emphasizes community service, with organizations like the UCLA Volunteer Center coordinating large-scale events such as Volunteer Day, where thousands of students engage in community service across Los Angeles. Leadership opportunities are also available through student government, with both the Undergraduate Students Association Council (USAC) and the Graduate Student Association (GSA) playing active roles in campus governance and event planning.
In all academic fields, notably in business programmes, the USA is one of the hotspots for global education. The top 200 institutions in the world, 45 of which are in the United States, are listed in the QS World University Rankings, 2023.
The USA has set the bar for educational excellence, with a sizable percentage of its universities appearing in lists of the best universities published by reputable ranking agencies. Some of the top colleges in the United States are listed in the following table:
Many people apply to the best schools and institutions in the USA every year. But these institutions never skimp on the calibre of their world-class instruction.
If we talk about GRE and IELTS, you plan things out by the curriculum; I think eight months is more than enough time. However, all topics may be covered in a 72-hour intense coaching session if you're talking about the GRE. After that, you can continue practising until you feel confident enough to take the exam.
Similar to this, IELTS tutoring can be completed in 18 hours plus practice and revision time, depending on the student. Remember that you can prepare for the GRE and IELTS at the same time.