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University of California, Berkeley

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California

United States

The Bachelor of Arts in Data Science and Business Intelligence program at the University of California, Berkeley is a highly sought-after degree that offers students a comprehensive introduction to the rapidly evolving field of data science. This program is recognized for its rigorous curriculum, which integrates practical skills with theoretical knowledge, preparing students for successful careers in various sectors. With the increasing importance of data in decision-making across industries, the program equips students to analyze and interpret complex data sets effectively.

The curriculum is structured to cover fundamental topics such as statistics, machine learning, data visualization, and computational methods. Core courses include Introduction to Data Science, Statistical Inference, Machine Learning, and Data Visualization. Students will also delve into specialized topics through elective courses, allowing them to tailor their education according to their interests and career aspirations. The program emphasizes hands-on learning experiences through projects and collaborations, enabling students to apply their knowledge in real-world scenarios.

Faculty members in the College of Letters and Science are esteemed experts in their fields, bringing a wealth of knowledge and industry experience to the classroom. They employ innovative teaching methodologies that foster critical thinking and problem-solving skills. Students benefit from personalized attention, mentorship, and guidance as they navigate their academic journeys. The faculty’s commitment to research also opens doors for students to engage in groundbreaking projects that contribute to the broader field of data science.

Research opportunities abound at UC Berkeley, with access to state-of-the-art facilities and resources. The university’s rich ecosystem includes collaboration with research centers and industry partners, providing students with unique opportunities to engage in cutting-edge research. Students can participate in ongoing projects or initiate their own, supported by faculty mentorship. This engagement not only enhances their educational experience but also boosts their resumes, making them more competitive in the job market.

The program boasts strong connections with leading companies and organizations, facilitating valuable internship opportunities. Students have the chance to work with industry giants such as IBM, Google, Amazon, and Microsoft, among others. These internships are not only a great way to gain practical experience but also serve as a pathway to employment post-graduation. The university's extensive alumni network plays a pivotal role in helping students secure internships and job placements, and many graduates find themselves in high-demand roles shortly after completing their degrees.

Graduates of the program can explore a diverse array of career pathways. The skills acquired during their studies prepare them for roles such as Data Scientist, Business Analyst, Software Engineer, and Machine Learning Engineer. The average base salary for graduates is an impressive $115,000, reflecting the high demand for data science professionals in today’s job market. The success stories of alumni further validate the program’s effectiveness, with many securing prestigious roles in notable companies shortly after graduation.

Unique features of the program include a strong emphasis on interdisciplinary learning, allowing students to explore intersections between data science and fields such as business, biology, and social sciences. The program also encourages community engagement and social responsibility, urging students to consider the ethical implications of their work. With a rich campus culture and a vibrant community of learners, students at UC Berkeley gain not just a degree but also a transformative educational experience.

Why Study Data Science at University of California, Berkeley

  • A globally recognized program with a high ranking, ensuring quality education.
  • Opportunities for hands-on learning through projects, internships, and collaborations.
  • Access to a distinguished faculty with extensive industry experience and research expertise.
  • Strong connections with major tech companies and organizations for internship placements.
  • A supportive alumni network that aids in job placements and career advancement.
  • A commitment to ethical considerations and social responsibility in data science applications.

Admission to the Bachelor of Arts in Data Science program is highly competitive. Applicants are expected to demonstrate strong academic performance, particularly in mathematics, statistics, and computer science. Essential requirements include a GPA above 3.0, letters of recommendation, and a compelling personal statement. Prospective students should also prepare to submit academic transcripts, a resume, and proof of English proficiency through standardized tests such as TOEFL or IELTS, with minimum scores of 80 (TOEFL) and 6.5 (IELTS). The application deadline for the upcoming Fall intake is November 30th, 2023.

For those considering financial support, UC Berkeley offers various scholarships based on merit and financial need, including the Berkeley Chancellor's Scholarship and Berkeley Engineering Scholarship. These scholarships can cover full or partial tuition and provide additional benefits, ensuring that students can focus on their education without undue financial stress.

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Duration

48 Months

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Median Salary

$1,05,000

Ranking

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#4

US World and News Report

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

100

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Average Age

22

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Average Work Experience

0 Years

Diversity

Others:

10%

United States:

35%

International:

25%

California:

30%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Consultant

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    80

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  • IELTS

    6.5

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
FallNov 30, 2023

Fees and Funding

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Tuition Fees

$42,954 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of California, Berkeley offers a variety of scholarships for students majoring in data science. These scholarships are based on merit, financial need, and other factors. Some of the best scholarships available include the Berkeley Chancellor's Scholarship, the Berkeley Engineering Scholarship, and the Berkeley College of Engineering Scholarship. These scholarships provide full or partial tuition, as well as other benefits such as housing and stipends.
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    Berkeley College of Engineering Scholarship

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    Berkeley Chancellor's Scholarship

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    Berkeley Engineering Scholarship

FAQs

  • A student can complete Data Science at University of California, Berkeley with in 48.
  • The deadline to submit an admission application for Data Science at University of California, Berkeley is Application deadline Fall (Standard Deadline) - date - 30/11/2023
  • The application fee to pursue Data Science at University of California, Berkeley is USD 80 for international students.
  • The annual tuition fee to pursue Data Science at University of California, Berkeley is USD 42954.
  • The Data Science at University of California, Berkeley has 8 semesters.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of California, Berkeley. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of California, Berkeley requirements before submitting a score.
  • Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of University of California, Berkeley, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at University of California, Berkeley can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of California, Berkeley website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of California, Berkeley by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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