Overview
The M.Sc. in Data Science at Columbia University equips students with the skills to apply data science methodologies across various domains. Recognised globally as one of the leading programmes in the field, it offers a unique blend of rigorous academic training and practical application.
Why Data Science at Columbia University?
Columbia University is consistently ranked among the top institutions for data science education. The programme benefits from strong partnerships with industry leaders, providing students with invaluable networking opportunities and real-world insights. The state-of-the-art facilities and access to cutting-edge technology further enhance the learning experience, ensuring that graduates are well-prepared for the demands of the data science landscape.
Tuition Fee Breakdown
- International Fee: USD 33,932 per semester - National Fee: USD 33,932 per semester - Local Fee: USD 33,932 per semester Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a comprehensive understanding of data science through core courses and electives. Key modules include:- Computer Systems for Data Science
- Machine Learning for Data Science
- Algorithms for Data Science
- Data Science Capstone and Ethics
- Probability and Statistics for Data Science
- Exploratory Data Analysis and Visualization
- Statistical Inference and Modeling
In addition to these core classes, students must complete a minimum of nine credits of electives, allowing for further exploration of specialised topics within data science.
Careers with Data Science
Graduates of the M.Sc. in Data Science programme have found success in various prestigious companies, including Alibaba, Amazon, Google, and J.P. Morgan. They occupy roles such as data analysts, machine learning engineers, and data scientists, contributing to sectors ranging from finance to healthcare and technology. The programme's strong emphasis on practical experience through capstone projects ensures that students are well-equipped to meet the challenges of the industry.Programme Structure
Courses include:
- Probability and statistics for data science
- Algorithms for data science
- Statistical inference and modelling
- Computer systems for data science
- Machine learning for data science
- Exploratory data analysis and visualization
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Manhattan, United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data 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
- Undergraduate degree
- Prior quantitative coursework (calculus, linear algebra, etc.)
- Prior introductory computer programming coursework
- Online application
- Personal Statement
- Uploaded transcripts from every post-secondary institution attended
- Three recommendation letters
- Curriculum vitae / resumé
- Official Graduate Record Examination (GRE) General Test Scores are optional for the 2023 applications (optional)
- $85 non-refundable application fee
Tuition Fees
-
International Applies to you
Applies to youNon-residents64800 USD / year≈ 64800 USD / year - Out-of-State64800 USD / year≈ 64800 USD / year
-
Domestic
Applies to youIn-State64800 USD / year≈ 64800 USD / year
Living costs
Manhattan
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 Data Science.
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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