Overview
The Analytics programme at University of California, Berkeley provides students with comprehensive training in data-driven analytical methods and advanced computational tools. This professional curriculum is designed to bridge the gap between theoretical mathematical sciences and practical industry applications in various sectors.
Why Analytics at University of California, Berkeley?
Studying at this institution allows students to engage with the Department of Industrial Engineering and Operations Research, a centre known for its focus on quantitative models and risk management. The curriculum is specifically tailored to help graduates raise critical questions and develop innovative models for rapidly changing business environments. Students benefit from an in-person learning experience that emphasises the communication and implementation of creative solutions for complex systems.
Tuition Fee Breakdown
- International fee: USD 6570 per year
- National fee: USD 6570 per year
- Local fee: USD 6570 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum focuses on the theory, development, and use of quantitative models for design and decision-making. Modules may include:
- Optimization
- Statistics
- Simulation
- Risk Management
- Quantitative Models for Design
- Decision-making
Careers with Analytics
Graduates are prepared for leadership roles where they manage large data sets and implement analytical solutions within the industrial, service, or public sectors. The programme equips students with the skills necessary to find employment in diverse fields such as energy systems, supply chain management, healthcare, and financial systems. By mastering state-of-the-art techniques, alumni are positioned to address real-world problems and lead data-driven initiatives in global industries.
Programme Structure
Courses Include:
- Analysis and Design of Databases
- Optimization Analytics
- Risk Modeling, Simulation, and Data Analysis
- Machine Learning
- Data Analytics
Key information
Duration
- Full-time
- 11 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Berkeley, United States
Disciplines
Data Analytics View 401 other Masters in Data Analytics in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Expect to or hold a bachelor’s degree or recognized equivalent from an accredited institution.
- Enough undergraduate training and/or professional experience to do graduate work in your chosen field.
- The application requires at least three letters of recommendation.
- Some programs require applicants to take a standardized test such as the GRE General Test.
- Submit a Statement of Purpose and Personal History statement, along with any other essays.
- If you are a U.S. citizen or current permanent resident, the non-refundable application fee is $135; for all others, the fee is $155.
Tuition Fees
-
International Applies to you
Applies to youNon-residents6570 USD / year≈ 6570 USD / year - Out-of-State6570 USD / year≈ 6570 USD / year
-
Domestic
Applies to youIn-State6570 USD / year≈ 6570 USD / year
Living costs
Berkeley
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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