University of California, Berkeley - Haas School of Business

To apply for the MIDS program, you need to have a bachelor’s degree or its recognized equivalent from an accredited institution. The program seeks applicants who can positively impact the I School community and beyond. The application must include:

The MIDS program offers flexibility through three paths: accelerated (as few as 12 months), standard (20 months), and decelerated (up to 32 months), catering to different scheduling needs of the students. Essential skills covered include research design, data cleansing, data engineering, data mining, data visualization, information ethics and privacy, statistical analysis, and machine learning​​.

UC Berkeley, also known as the University of California, Berkeley, stands as one of the world's preeminent public research universities. Founded in 1868, UC Berkeley has consistently upheld its reputation for academic excellence, innovation, and social progress. Situated in the vibrant and culturally rich city of Berkeley, California, the university boasts a diverse community of scholars, students, and staff dedicated to pushing the boundaries of knowledge and fostering positive change in the world. With its renowned faculty, cutting-edge research facilities, and a wide array of academic programs spanning various disciplines, UC Berkeley offers students a stimulating environment for intellectual growth and personal development. Whether in the fields of science, technology, humanities, or the arts, UC Berkeley continues to inspire and empower generations of learners to tackle global challenges and shape a brighter future.

The acceptance rate for the UC Berkeley MS in Computer Science program is 20%

The University of California offers MS in computer science programs across its campuses, with each campus having its own fee structure. Among these, Berkeley Haas, situated at UC Berkeley, is renowned for its top-tier business education. For the 2023-2024 academic year, estimated tuition and fees for the MS in cs program vary based on residency status. 

An outstanding 96.38% of UC Berkeley MS CS graduates from the Class of 2022 secured employment within just nine months following their graduation. This statistic is a testament to the robust demand for UC Berkeley MS CS graduates in the tech industry and beyond, showcasing the program's excellence in preparing students for successful careers.

Low Job-Seekineg Rate: Only a fractional 1.68% of the UC Berkeley MS CS graduates were actively seeking employment during the same period. This low rate of active job-seeking further highlights the effectiveness of the UC Berkeley MS CS program in equipping students with the skills and knowledge sought after by employers.

Geographic Distribution of Employment Opportunities:

The Pacific region, and California in particular, stood out as the predominant area for job placements among UC Berkeley MS CS graduates. This geographic concentration emphasizes California's role as a tech epicenter and the strong alignment of the UC Berkeley MS CS program with industry needs in this region.

• Competitive Average Salary: UC Berkeley MS CS graduates reported an impressive average salary of $78,817, reflecting the high value placed on their expertise in the job market. This average salary figure underscores the financial viability and return on investment of the UC Berkeley MS CS program.
• Salary Percentile Variability: The range of salary percentiles observed among UC Berkeley MS CS graduates illustrates a broad spectrum of earning potentials. This variability indicates diverse career paths available to alumni, from entry-level positions to highly specialized roles, each offering competitive salaries and significant opportunities for career advancement.

Here is an overview of the employment statistics for the UC Berkeley Master of Science (MS) in Computer Science program:

96.38% of the Class of 2022 were employed at nine months after graduation.
Only 1.68% were actively seeking work, indicating a high employment rate among graduates.

The top recruiters for the UC Berkeley Master of Science (MS) in Computer Science program:

• Google
• Facebook
• Amazon
• Microsoft
• Apple
• Adobe
• Intel
• Nvidia
• IBM
• Salesforce

UC Berkeley boasts a rich history of notable alumni who have made significant contributions in various fields. Here are some distinguished alumni from UC Berkeley:

• Carol Shaw: A pioneer in the video game industry, known as one of the first female video game designers.
• Sanjay Mehrotra: Co-founder and president of SanDisk, as well as the CEO of Micron Technology.
• William Joy: Co-founder of Sun Microsystems and co-creator of Berkeley Unix and Java.
• Eric Schmidt: Former CEO of Google and Alphabet Inc., known for his leadership in the tech industry.
• Cynthia Marshall: CEO of the Dallas Mavericks, recognized for her leadership in sports management.
• Leroy Chiao: Astronaut and commander of Expedition 10, who lived on board the International Space Station.

A Letter of Recommendation (LOR) is crucial for UC Berkeley admissions, offering insights into an applicant's skills and potential. It should be written by someone familiar with the applicant's academic or professional achievements in data science.

Key Tips for a Strong LOR:

• Choose Wisely: Select recommenders who can speak to your data science capabilities and achievements.
• Provide Program Details: Inform your recommender about UC Berkeley's Data Science program to tailor the LOR effectively.
• Key Qualities: Highlight analytical skills, technical proficiency, teamwork, and problem-solving abilities.
• Use Specific Examples: Concrete examples of projects, leadership, and innovation add credibility.
• Discuss Growth: Include examples of personal growth and resilience.
• Highlight Professional Development: Mention workshops or courses that show commitment to data science.
• Assert Future Potential: The recommender should affirm your potential for success in data science at UC Berkeley.

Providing recommenders with a resume, statement of purpose, or achievements list can help craft a more compelling LOR. A well-written LOR is a testament to your readiness and fit for UC Berkeley's Data Science program.

A Statement of Purpose (SOP) is crucial for applications to graduate programs, like UC Berkeley's Data Science, as it outlines the applicant's motivations, qualifications, and aspirations. It's essential for distinguishing oneself in the competitive admission process.

Key Tips for a Compelling SOP:

• Research Thoroughly: Understand UC Berkeley's Data Science program specifics to tailor your SOP.
• Detail Interests: Specify your data science interests and relevant experiences.
• Relevant Experience: Highlight projects, work, and skills that prepare you for data science.
• Define Goals: Articulate how the program aligns with your career aspirations.
• Soft Skills: Demonstrate leadership, teamwork, and communication skills.
• Personalize: Share unique personal stories or challenges to stand out.
• Demonstrate Commitment: Show genuine passion for data science beyond academia.
• Proofread and Feedback: Ensure your SOP is error-free and seek insights from mentors or peers.

A well-crafted SOP for UC Berkeley should align your goals with the program, demonstrate preparedness, and showcase a unique personal story. Proper research, specificity, and a clear demonstration of your journey and commitment to data science are vital.

Yes, there are scholarships available for international students at UC Berkeley. Some of the scholarships and financial aid packages available to international students at UC Berkeley include:

• Berkeley Haas Global Access Program (BHGAP) Scholarships
• UC Berkeley Masters Scholarships for International Students
• Berkeley International Office (BIO) Financial Aid Program
• Cal Alumni Association Scholarships
• Graduate Division and Departmental Block Grant Fellowships

UC Berkeley's Master of Science in Computer Science program stands out for several reasons:

• World-Class Faculty: UC Berkeley boasts a renowned faculty of experts in various fields of computer science, including artificial intelligence, machine learning, cybersecurity, and more. Students have the opportunity to learn from and collaborate with leaders in their respective fields, contributing to groundbreaking research and innovation.
• Cutting-Edge Research: The university is at the forefront of computer science research, with numerous research centers, labs, and initiatives dedicated to advancing the field. Students have access to state-of-the-art facilities and resources, allowing them to engage in hands-on research projects and contribute to solving real-world problems.
• Interdisciplinary Approach: UC Berkeley encourages interdisciplinary collaboration and offers opportunities for students to explore connections between computer science and other disciplines such as engineering, business, public policy, and the humanities. This interdisciplinary approach fosters creativity, innovation, and the development of well-rounded professionals.
• Location: Situated in the heart of the San Francisco Bay Area, UC Berkeley provides students with unparalleled access to a thriving tech ecosystem. From Silicon Valley startups to multinational tech giants, students have opportunities for internships, networking, and career advancement in one of the world's most innovative regions.
• Diverse and Inclusive Community: UC Berkeley prides itself on its diverse and inclusive community, welcoming students from all backgrounds and cultures. The university's commitment to diversity enriches the learning experience, promotes cross-cultural understanding, and prepares students to thrive in a globalized world.
• Entrepreneurial Spirit: With a strong tradition of entrepreneurship and innovation, UC Berkeley empowers students to pursue their entrepreneurial ambitions. The university offers resources such as startup incubators, accelerators, and mentorship programs to support aspiring entrepreneurs in launching their ventures and making a positive impact on society.

Overall, UC Berkeley's MS in Computer Science program distinguishes itself through its world-class faculty, cutting-edge research opportunities, interdisciplinary approach, prime location, diverse community, and entrepreneurial spirit, providing students with an exceptional educational experience and preparing them for success in the dynamic field of computer science.

If you have any doubts regarding the UC Berkeley MS in Computer Science program, you can contact the following individuals or departments:

For general questions about the department, CS class enrollment, and preparation for majoring in CS or EECS, you can email:

1. CS class enrollment: cs-enrollments@cs.berkeley.edu
2. Preparation for majoring in CS or EECS: prospective-ugradstudents@eecs.berkeley.edu
3. Graduate programs: gradadmissions@eecs.berkeley.edu
4. Master of Engineering (MEng): mengadmissions@eecs.berkeley.edu

For specific inquiries related to the program or graduate admissions, you can reach out to:Email: gradadmissions@eecs.berkeley.edu
Address: 253 Cory Hall, Berkeley, CA 94720

If you need advising for prospective undergraduates interested in majoring in EECS or LS CS, you can contact:Email: grad-assts@eecs.berkeley.edu

For further assistance or questions about the department, you can visit the EECS Main Office at 253 Cory Hall in Berkeley or call +1 (510) 642-3214 during their office hours.

In conclusion, applying to the University of California, Berkeley, particularly the Haas School of Business for the Master of Science (MS) in Computer Science program, presents an enticing opportunity. UC Berkeley's esteemed reputation, coupled with its robust program, offers students access to top-tier faculty, cutting-edge resources, and a strong alumni network. The program's impressive career outcomes and financial aid options further enhance its appeal. With its vibrant campus life and proximity to the dynamic tech industry of the San Francisco Bay Area, UC Berkeley emerges as a compelling choice for those seeking a rewarding and impactful graduate education in computer science.