Overview
Upon conclusion of the Master's in Data Science from University of Connecticut, graduates will be able to:
- Identify and collect appropriate data to support robust inferences and predictions to facilitate decision making.
- Gather, manage, clean, merge, transform, and summarize data from disparate sources using programming and scripting tools.
- Visualize complex data sets to support analysis and prediction and to support decision making by end-users.
- Conduct associational and causal analyses using modeling approaches, computational statistical learning techniques, and best practices across domains.
- Apply machine learning and artificial intelligence algorithms to large, heterogeneous, unstructured data sets to achieve optimal accuracy levels on test data.
- Perform big data analytics through the efficient use of algorithms, high-performance computing, and out-of-core computing in cloud computing environments.
- Evaluate the reliability and validity of inferences and predictions.
- Communicate analytic insights across different domains using a variety of data visualization strategies and tools.
- Incorporate best practices for project and data management and documentation in collaborative team environments.
- Evaluate the ethical, legal, and social impacts of the data science process, including considerations of diversity, equity, inclusion, data privacy, data security, and data ownership within a broader social and international context, especially in addressing systemic biases and inequities.
- Integrate domain-specific knowledge and cross-domain collaboration to produce more accurate modeling, analysis, and predictions.
Programme Structure
Courses
- Applied Statistics for Data Science
- Statistical Computing for Data Science
- Data Mining and Management
- Data Visualization and Communication
- Research Design and Measurement for Data Science
- Data Ethics and Equity
Key information
Duration
- Full-time
- 11 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Storrs, United States
Disciplines
Data Science & Big Data View 472 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- Bachelor’s degree,
- A personal statement
- Current resume or CV (uploaded).
- Three Letters of Recommendation
- Unofficial transcript(s) for all undergraduate and graduate coursework (uploaded).
- Official college transcript(s) mailed to The Graduate School
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Connecticut and/or in United States, please visit Student Insurance Portal.
Tuition Fee
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International
41424 USD/yearTuition FeeBased on the tuition of 20712 USD per semester during 11 months. -
National
41424 USD/yearTuition FeeBased on the tuition of 20712 USD per semester during 11 months. -
In-State
19512 USD/yearTuition FeeBased on the tuition of 9756 USD per semester during 11 months.
Living costs for Storrs
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.
DISCLAIMER – Subject to credit approval, loans are made by Bank of Lake Mills or MPOWER Financing, PBC. Bank of Lake Mills does not have an ownership interest in MPOWER Financing. Neither MPOWER Financing nor Bank of Lake Mills is affiliated with the school you attended or are attending. Bank of Lake Mills is Member FDIC. None of the information contained in this website constitutes a recommendation, solicitation or offer by MPOWER Financing or its affiliates to buy or sell any securities or other financial instruments or other assets or provide any investment advice or service. 2022 © MPOWER Financing, Public Benefit Corporation NMLS ID #1233542. 1101 Connecticut Ave NW Suite 900, Washington, DC 20036
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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