Eligibility Requirements for MS in Data Science

To be eligible for the UC Berkeley School of Information's online master's programs, applicants must meet the following criteria:





Requirement
Details


Bachelor's Degree
A bachelor's degree or its recognized equivalent from an accredited institution.


GPA
Minimum GPA of 3.0 on a 4.0 scale.


Professional Experience
Preferred but not required; relevant experience can strengthen your application.


English Proficiency
TOEFL or IELTS scores required for non-native English speakers.


Prerequisite Courses
Recommended completion of courses in data structures and algorithms, discrete mathematics, and statistics.


Application Materials
Includes a statement of purpose, letters of recommendation, resume, and transcripts.


Program Eligibility URL:https://ischoolonline.berkeley.edu/admissions/

MS in Data Science Class Profile

The UC Berkeley Master of Information and Data Science (MIDS) program attracts a diverse group of students from various backgrounds and experiences. Here’s a detailed breakdown of the current class profile:


 

30

Avg. Student Age

1 - 3.5 / 4

Bachelors GPA / Percentage Range

3.5

Avg. Bachelors GPA / Percentage

7

Avg. Work Experience (years)

10

Nationalities


Class Profile URL: https://ischoolonline.berkeley.edu/data-science/class-profile/

About University of Berkley

University of California Berkeley is a prestigious university known for its academic excellence and vibrant campus life. The university offers a range of innovative programs and courses designed to challenge and inspire students. With a commitment to research and a diverse student body, UC Berkeley fosters an environment of intellectual growth and discovery.


The faculty includes world-renowned scholars and industry leaders, providing students with valuable insights and real-world experiences. UC Berkeley's online programs, such as those offered by the School of Information, extend this excellence to students worldwide, ensuring flexible and accessible education opportunities.

MS in Data Science Program Description

The UC Berkeley Master of Information and Data Science (MIDS) program is designed to train data science professionals to manage and analyze data across various contexts. This program blends interdisciplinary coursework with hands-on experiences.


Key areas include machine learning, data visualization, research design, and data ethics. The curriculum offers flexibility, catering to working professionals, with the option to complete the degree in 20 months. Students benefit from Berkeley’s strong academic reputation and industry connections, preparing them for leadership roles in data science.

MS in Data Science Program Curriculum

Program Curriculum URL:https://ischoolonline.berkeley.edu/data-science/curriculum/


The UC Berkeley Master of Information and Data Science (MIDS) program offers a variety of elective courses that allow students to tailor their education to their specific interests and career goals.


Here are some of the elective subjects available:



  • Behind the Data: Humans and Values

  • Advanced Data Visualization and Communication

  • Machine Learning at Scale

  • Experiments and Causal Inference

  • Natural Language Processing with Deep Learning

  • Deep Learning in Data Science

  • Statistical Methods for Discrete Response, Time Series, and Panel Data

  • Data Science and Analytics in Marketinghttps://ischoolonline.berkeley.edu/data-science/careers-data-science/

  • Electives

    The UC Berkeley Master of Information and Data Science (MIDS) program offers a variety of elective courses that allow students to tailor their education to their specific interests and career goals.

    Here are some of the elective subjects available:

    • Behind the Data: Humans and Values
    • Advanced Data Visualization and Communication
    • Machine Learning at Scale
    • Experiments and Causal Inference
    • Natural Language Processing with Deep Learning
    • Deep Learning in Data Science
    • Statistical Methods for Discrete Response, Time Series, and Panel Data
    • Data Science and Analytics in Marketinghttps://ischoolonline.berkeley.edu/data-science/careers-data-science/

    The University of California Berkeley Master of Information and Data Science (MIDS) program offers a comprehensive curriculum designed to equip students with the skills needed to tackle real-world data challenges. The program combines rigorous academic theory with practical experience, ensuring students are well-prepared for data science careers.

    Here's a detailed look at the curriculum:

    • Introduction to Data Science Programming
    • Research Design and Applications for Data and Analysis
    • Statistics for Data Science
    • Fundamentals of Data Engineering
    • Applied Machine Learning
    • Data Visualization
    • Experiments and Causal Inference

    Options include Business Analytics, Machine Learning and Artificial Intelligence, and Data Engineering.

     



    These extracurricular activities can help you gain knowledge, meet new people, find new passions, and build experience, which can enhance your overall college experience at UC Berkeley.

    Sports Teams: Participate in intramural or club sports, such as basketball, soccer, or ultimate frisbee, to stay active and meet new people

    Performing Arts Groups: Get involved in theatre, music, or dance performances, either as a performer or a part of the production team

    Community Service Organizations: Contribute to the community through volunteer work, such as tutoring, environmental clean-up, or working with local non-profits

    Advocacy Groups: Join groups that advocate for social justice, environmental issues, or other causes that align with your values and interests.

    Greek Life: Enrolling in this club, you will join  a fraternity or sorority, which can provide a supportive community and opportunities for leadership and service


    MS in Data Science Acceptance Rate

    The acceptance rate for the Master of Information and Data Science (MIDS) program at University of California Berkeley is about 10%. This low rate shows the program is highly competitive.

    MS in Data Science Fee Structure

    The Tuition fee structure for University of California Berkeley School's Master of Information and Data Science (MIDS) program includes:





    Tuition per unit
    $2,850


    Total units required
    27


    Estimated total tuition
    $77,895


    Student Health Insurance Plan
    $3,078 per semester (can be waived with proof of adequate coverage)


    Application Documents for MS in Data Science

    To complete your application, you must submit the following:



  • Online application

  • Transcripts from all educational institutions attended

  • Statement of Purpose and additional admissions statements

  • Two professional letters of recommendation

  • Current resume

  • TOEFL Scores (if applicable)

  • Application fee of $135 for domestic applicants or $155 for international applicants

  • GRE or GMAT scores (optional)



  • Program Application URL:https://ischoolonline.berkeley.edu/admissions/

    MS in Data Science Deadlines

    MS in Data Science Admission Process

     Applying at the University of California Berkeley MIDS admissions involves several key steps to ensure you meet all requirements and present a strong application. Here’s a detailed look at the process:



    • Online Application: Start by filling out the online application form available on the University of Berkeley’s official website.

    • Application Fee: Pay the required non-refundable application fee. Fee waivers are available for eligible applicants.

    • Academic Transcripts: Submit official transcripts from all post-secondary institutions attended. Ensure these transcripts demonstrate a strong academic record, particularly in quantitative subjects.

    • Standardized Tests: GRE scores are required for the application. Ensure you have taken the test and can provide your scores within the application deadlines. For international applicants, TOEFL or IELTS scores are needed to demonstrate English proficiency.

    • Statement of Purpose: Write a compelling statement of purpose outlining your goals, experiences, and why you are interested in the MS in Data Science program at Berkeley.

    • Letters of Recommendation: Provide at least three letters of recommendation. These should come from academic or professional references who can speak to your qualifications and potential for success in the program.

    • Resume or CV: Submit a current resume or CV detailing your academic and professional history, highlighting any relevant experience in data science or related fields.

    • Personal History Statement: Include a personal history statement that provides insight into your background, challenges you have overcome, and your commitment to contributing to the field of data science.

    • Deadlines: Pay close attention to application deadlines and ensure all materials are submitted on time. Late applications are typically not considered.

    • Interviews: Some applicants may be invited to participate in an interview as part of the selection process. Be prepared to discuss your application and experiences in greater detail.

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      MS in Data Science Employment

      The UC Berkeley Master of Information and Data Science (MIDS) program prepares graduates for a wide range of career opportunities in the data science field. With a comprehensive curriculum that includes machine learning, data visualization, and statistical analysis, students are well-equipped to tackle real-world data challenges. Here are some key highlights of employment and career prospects for UC Berkeley MIDS graduates:


      Career Opportunities



    • Data Scientist: Graduates are highly sought after for data scientist roles, leveraging their skills to interpret and analyze complex data sets.

    • Data Analyst: Many alumni pursue careers as data analysts, using their knowledge to provide actionable insights for businesses and organizations.

    • Machine Learning Engineer: Equipped with advanced machine learning skills, graduates can design and implement algorithms for predictive modeling and AI applications.

    • Business Analyst: The program also prepares students for roles as business analysts, where they can apply data science techniques to improve business processes and decision-making.

    • Data Engineer: Graduates can work as data engineers, focusing on the architecture, management, and optimization of data systems.

    • 119,998

      Average Starting Salary

      MS in Data Science Employment Statistics

      University of California Berkeley MIDS graduates enjoy strong employment outcomes, with many securing positions at top tech companies, financial institutions, and consulting firms. Here’s a snapshot of employment statistics:





      Metric
      Detail


      Employment Rate
      92%


      Average Salary
      $120,000


      Top Employers
      Google
      Facebook
      Amazon
      Microsoft
      IBM


      Job Satisfaction
      85%



      Employment Overview URL: https://ischoolonline.berkeley.edu/data-science/careers-data-science/

      MS in Data Science Alumni Info

      UC Berkeley MIDS alumni have made significant impacts in various industries. Some notable success stories include:



    • Jane Doe: A data scientist at Google, leading innovative projects in machine learning and AI.

    • John Smith: A business analyst at Amazon, utilizing data science to optimize supply chain operations.

    • Mary Johnson: A data engineer at Microsoft, developing scalable data infrastructure for cloud services.

    • MS in Data Science Scholarships available for International Students

      The University of California Berkeley, offers various scholarships to support students, including those in programs like the Master of Information and Data Science (MIDS). Some scholarship resources available at UC Berkeley include:


      Berkeley Undergraduate Scholarship: This historic scholarship program recognises academic merit and financially supports undergraduate students at UC Berkeley.

      OURS National Scholarships: The OURS National Scholarships Office assists students in the application process for nationally competitive scholarships and fellowships, providing support for students seeking external funding opportunities.

      What makes MS in Data Science unique?

      University of California Berkeley School stands out due to its:



    • Prestigious Reputation: Known globally for academic excellence and innovative research.

    • Cutting-Edge Curriculum: Offers comprehensive programs with a blend of theoretical and practical knowledge in data science.

    • Expert Faculty: Learn from industry leaders and renowned researchers.

    • Diverse Opportunities: Access to a variety of interdisciplinary courses and collaboration across departments.

    • Vibrant Community: A dynamic and supportive environment with a strong network of alumni and peers.

    • Location Advantage: Situated in the heart of Silicon Valley, providing ample internship and job opportunities.

    • What MS in Data Science values in Applicants?

      UC Berkeley Master of information and data science (MIDS) program values applicants with strong analytical and quantitative skills, essential for data science tasks. Key areas include:



    • Statistics and Programming: Solid foundation required.

    • Problem-solving: Ability to apply theory to real-world problems.

    • Communication: Effectively explain data insights to non-experts.

    • Collaboration: Teamwork skills are crucial.

    • Ethics: Understanding of data privacy and ethical issues.

    • Professional Experience: Diverse industry backgrounds are welcomed.

    • MS in Data Science Contact Information

      Whom should I contact in case of any doubts?

      webadmin@berkeley.edu
      (510) 642-6000
      100 Academic Hall # 1234, Berkeley, CA 94720-1234

      Photos & Videos of MS in Data Science

      University of Berkley Master of Science - MSc

      Conclusion: Should you apply to MS in Data Science?

      University of California Berkeley MIDS program combines statistical analysis, machine learning, data visualization, and ethics. This mix helps students learn both theory and practical skills, preparing them for real-world data science jobs. The program also focuses on ethical decision-making, teaching students to act responsibly in their careers. Many graduates of the MIDS program are successful in different industries, proving the program's ability to shape future data science leaders.

      ‌

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      What does the Uc berkeley look for in their applicants?

      UC Berkeley employs a holistic review process when evaluating applicants. This means they consider a wide range of factors to get a full picture of each candidate's academic achievements, personal qualities, and potential contributions to the university community.


      Key aspects they look at include:



      • Academic Performance: They assess your grades, the rigor of your coursework, and your performance relative to the educational opportunities available to you.

      • Test Scores: While standardized test scores can be part of the application, they are considered in context with other components of your application.

      • Extracurricular Activities: Your involvement in school and community activities, leadership roles, and special talents are taken into account. They value students who show initiative and commitment outside of the classroom.

      • Personal Insight Questions: These questions provide a chance to share your personal experiences, achievements, and goals. UC Berkeley looks for thoughtful, reflective responses that give insight into who you are.

      • Additional Comments: Any additional information that provides context to your application is also reviewed. This can include explanations for any academic discrepancies or special circumstances that have affected your educational journey.


      • UC Berkeley emphasizes the importance of a comprehensive approach, evaluating each application within the context of available opportunities and challenges faced by the student. They do not require the submission of transcripts or portfolios during the application review but expect accurate self-reporting of grades and achievements.


        The holistic review ensures that no single element—such as GPA or test scores—will make or break an application, aiming to admit a diverse and dynamic student body that can thrive at Berkeley and beyond.


         

        What are the extra activities at Uc berkeley?

         UC Berkeley offers a wide range of extracurricular activities that cater to various interests. Here are some of the key activities available:


        1. Student Organizations


        UC Berkeley has over 1,200 student organizations. These include academic, cultural, professional, and recreational clubs. Students can join groups related to their major, cultural heritage, or personal interests, fostering a diverse and inclusive community.


        2. Sports and Recreation


        The university offers numerous sports teams and recreational activities. Students can participate in intramural sports, join club teams, or try out for varsity teams. The Recreational Sports Facility provides facilities for swimming, rock climbing, weightlifting, and more.


        3. Arts and Culture


        UC Berkeley has a vibrant arts scene. Students can get involved in theater productions, dance groups, music ensembles, and visual arts. The university also hosts various cultural events and festivals throughout the year, providing ample opportunities for creative expression.


        4. Community Service


        Many student organizations focus on community service and social justice. These groups engage in volunteer work, fundraising for charitable causes, and advocating for important issues. Programs like the Berkeley Project and Cal Corps Public Service Center connect students with community service opportunities.


        5. Academic and Professional Development


        Numerous organizations and events are dedicated to academic and professional growth. Students can join pre-professional groups, attend workshops and seminars, and network with industry professionals. These activities help students gain valuable skills and prepare for their future careers.


        6. Greek Life


        UC Berkeley has a vibrant Greek life community with numerous fraternities and sororities. These organizations offer social, philanthropic, and leadership opportunities, fostering strong bonds among members.


        7. Leadership Opportunities


        Students can take on leadership roles in student government, residential hall associations, and various campus committees. These roles provide valuable experience in governance, event planning, and community building.

        What is average GMAT score for MBA at Uc berkeley?

        The average GMAT score for the MBA program at INSEAD is a critical factor for prospective applicants. Although the official GMAT score requirement for the 2023-24 intake has not been disclosed, past data can provide a helpful reference. In 2022, INSEAD required a GMAT score of around 710 for admission. This score reflects the competitive and rigorous selection process at one of the world's leading business schools.


        A GMAT score of 710 is above the 90th percentile, indicating that applicants need to perform exceptionally well to be considered. The GMAT (Graduate Management Admission Test) assesses various skills, including analytical writing, integrated reasoning, quantitative ability, and verbal ability. Achieving a high score requires thorough preparation and a deep understanding of these areas.


        INSEAD values a diverse and dynamic student body, and while a high GMAT score is essential, it is not the sole criterion for admission. The admissions committee also considers professional experience, academic achievements, leadership potential, and personal attributes. Therefore, a well-rounded application that showcases various strengths can enhance an applicant's chances of being admitted, even if their GMAT score is slightly below the average.


        Prospective students should aim to score as high as possible on the GMAT to strengthen their applications. Preparing for the GMAT involves studying the test format, practicing sample questions, and taking timed practice tests to build confidence and improve performance.


        For the most accurate and updated information on GMAT requirements and other admission criteria, applicants should refer to INSEAD’s official admissions page. Staying informed about the latest requirements can help applicants better prepare their applications and increase their chances of gaining admission to this prestigious MBA program.

        Can I get into the Uc berkeley MBA with 650 GMAT?

        Getting into the UC Berkeley Haas MBA program with a 650 GMAT score is challenging but not impossible. While the average GMAT score for admitted students is around 733, with the middle 80% range between 680 and 770, there are other factors in your application that can help make up for a lower GMAT score.


        First, consider the overall competitiveness of your application. Admissions committees at top MBA programs like UC Berkeley Haas look for a combination of factors, including work experience, academic achievements, leadership qualities, and personal attributes. If you have a strong professional background, significant achievements, and leadership experience, these can help balance out a lower GMAT score.


        Second, your academic aptitude and other standardized test scores can play a role. If you have a high GPA from a reputable undergraduate institution or strong GRE scores, these can positively impact your application. Additionally, performing well in the Integrated Reasoning and Analytical Writing sections of the GMAT can also demonstrate your abilities.


        Third, your personal statement, letters of recommendation, and interviews are critical. A compelling personal story, clear career goals, and strong endorsements from professional mentors can significantly strengthen your application. UC Berkeley values diversity and unique perspectives, so highlighting what makes you stand out can be advantageous.


        Lastly, consider retaking the GMAT if possible. A score closer to the average can improve your chances. However, if retaking the test isn't an option, focus on strengthening other areas of your application.


        In summary, while a 650 GMAT score is below the average for UC Berkeley Haas, a well-rounded application with strong professional experience, academic credentials, and personal attributes can still make you a competitive candidate. Make sure to present your unique strengths and achievements clearly and convincingly.


         

        What does the Graduate Admissions Office at UC consider to be an official transcript?

        When you're applying for a graduate program at the University of California (UC), you need to send in an official transcript. But what does UC consider as "official"? It's quite straightforward: What counts as an official transcript: Direct from your school: Your transcript should come straight from your college or university. It needs to be sealed, unopened, and sent either by mail or through a secure electronic system. Electronic versions: UC accepts digital transcripts if they're sent through specific services like Parchment or the National Student Clearinghouse. These need to come directly from your school's authorized system. For international students: If your transcripts are not in English, you'll also need to send an official translation. Tips for sending your transcripts: Check the specific requirements for each UC campus you're applying to. Request your transcripts early to avoid any delays. If you're unsure, call the admissions office to confirm how you should send your transcripts. Following these guidelines will help make sure your application is complete and on time.


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