Applications are now being accepted for our January and May 2015 cohorts. Applications are reviewed as they are received, so you are encouraged to submit your completed application as soon as possible.
|January 2015 Cohort||Deadline|
|Early Application Deadline||September 29, 2014|
|Final Application Deadline||October 20, 2014|
|Classes Start||January 12, 2015|
For the May 2015 cohort, admissions decisions will be rendered by the guaranteed decision notification date. While you are guaranteed a decision by this date, it is possible that a decision could be released earlier.
|May 2015 Cohort||Deadline||Decision Notification Date|
|Early Application Deadline||December 1, 2014||January 16, 2015|
|Final Application Deadline||February 9, 2015||March 23, 2015|
|Classes Start||May 11, 2015|
For assistance with completing your application, please contact an Admissions Counselor at
855-678-MIDS or firstname.lastname@example.org
Applications are evaluated holistically on a combination of prior academic performance, GRE/GMAT score, work experience, statement of purpose, and letters of recommendation.
The UC Berkeley School of Information seeks students with the academic abilities to meet the demands of a rigorous graduate program. To be eligible for the Master of Information and Data Science program, you must meet the following requirements:
- A bachelor’s degree or its recognized equivalent from an accredited institution
- Superior scholastic record, normally well above a 3.0 GPA
- Official Graduate Record Examination (GRE) General Test or Graduate Management Admission Test (GMAT) scores
- To take a free practice test or learn more about discounted test preparation courses, visit http://www.princetonreview.com/mids/.
- A high level of quantitative ability as demonstrated by scores in the top 15 percent in the Quantitative section of either the GRE or GMAT, five years of technical work experience, or significant work experience that demonstrates your quantitative abilities
- A high level of analytical reasoning ability and a problem-solving mindset as demonstrated in academic and/or professional performance
- A working knowledge of fundamental concepts including: data structures, algorithms and analysis of algorithms, and linear algebra
- Applicants who lack this experience in their academic or work background but meet all other requirements for admission will be asked to complete a bridge course before enrolling in the Applied Machine Learning course. Learn more about this bridge course here.
- The ability to communicate effectively as demonstrated by strong scores in the Verbal and Writing sections of either the GRE or GMAT, academic performance, and/or professional experience
- Programming proficiency as demonstrated by prior work experience or advanced coursework. (For example: Python or Java)
- A Statement of Purpose that clearly indicates professional career goals and reasons for seeking the degree
- Official Test of English as a Foreign Language (TOEFL) scores for applicants whose academic work has been in a country other than the U.S., U.K., Australia, or English-speaking Canada
To complete your application, you must submit the following:
- Online application
- Official transcripts from all educational institutions attended from your undergraduate degree
- Official Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores
- Statement of Purpose and additional admissions statements
- Two professional letters of recommendation
- A working knowledge of fundamental computer science concepts including: data structures, algorithms and analysis of algorithms, and linear algebra
- Current resume
- TOEFL Scores (if applicable)
- Application fee of $80 for domestic applicants or $100 for international applicants