Overview
The on-campus Master of Science in Data Science (M.Sc.) at the University of Colorado Boulder is tailored for students seeking a conventional educational experience through semester-based courses and face-to-face instruction. This interdisciplinary programme is delivered by the esteemed departments of Applied Mathematics, Computer Science, and Information Science, all under the College of Engineering and Applied Science. Students enrolled in this programme will gain a robust foundation in data science, focusing on essential skills such as statistical analysis, data structures and algorithms, data mining, machine learning, big data architecture, and data visualisation.
One of the standout features of the M.Sc. in Data Science is the opportunity for students to engage closely with CU Boulder’s award-winning faculty. This collaboration allows students to work with real-world big data sets that are currently utilised in research across the university’s highly regarded programmes in applied mathematics, computer science, business, and geography. This hands-on experience is invaluable, as it prepares graduates to effectively apply their data science competencies across various industries and fields.
The curriculum is designed to not only impart technical skills but also to address ethical decision-making in data science. Graduates will learn how to communicate their findings to a diverse range of stakeholders, ensuring that they can articulate complex data insights in accessible terms. This dual focus on technical proficiency and ethical considerations is crucial in today’s data-driven world.
Furthermore, the M.Sc. in Data Science is STEM-eligible, which provides students with the advantage of Optional Practical Training (OPT) STEM Extension benefits through the U.S. Department of Education. This eligibility allows international students to gain practical experience in the United States after graduation, enhancing their career prospects significantly.
Why Data Science at the University of Colorado Boulder?CU Boulder is renowned for its commitment to excellence in education and research. The university consistently ranks among the top institutions for engineering and applied sciences, providing students with access to state-of-the-art facilities and resources. The interdisciplinary nature of the programme fosters collaboration among students from various academic backgrounds, enriching the learning experience. Additionally, students have the unique opportunity to network with industry experts, gaining insights from leaders who are shaping the future of data science.
Tuition Fee Breakdown- International Fee: USD 11,838 per semester
- National Fee: USD 11,838 per semester
- Local Fee: USD 4,464 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Statistical Analysis
- Data Structures and Algorithms
- Data Mining
- Machine Learning
- Big Data Architecture
- Data Visualisation
In summary, the Master of Science in Data Science at the University of Colorado Boulder equips students with the necessary tools and knowledge to thrive in a rapidly evolving field. The combination of rigorous academic training, practical experience, and ethical considerations prepares graduates to meet the demands of various industries, making them highly sought after in the job market.
Programme Structure
Courses include:
- Datacenter Scale Computing - Methods, Systems and Techniques
- Advanced Robotics
- Network Analysis and Modeling
- Design and Analysis of AlgorithmsHigh-Performance Scientific Computing
- Natural Language Processing
- Neural Networks and Deep Learning
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Boulder, United States
Disciplines
Data Science & Big Data View 461 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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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
- A completed graduate admission application and application fee.
- A copy of undergraduate transcripts and, if applicable, any graduate transcripts.
- A statement of purpose that includes the area the applicant wishes to specialize in.
- Three letters of recommendation.
- A current curriculum vitae or resume.
Tuition Fees
-
International Applies to you
Applies to youNon-residents23676 USD / year≈ 23676 USD / year - Out-of-State23676 USD / year≈ 23676 USD / year
-
Domestic
Applies to youIn-State8928 USD / year≈ 8928 USD / year
Living costs
Boulder
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
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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