Overview
Overview
The fields of Statistical and Data Science is growing exceptionally fast. As technology continues to reshape our world, more and more data are being collected on any number of subjects. There is a growing belief among decision makers that these data can be useful. Yet the process of transforming data into actionable information is challenging.
To analyze modern streams of data, government agencies, nonprofits (NGOs) and private industries seek data analysts with technical skills (programming ability), the ability to reason quantitatively about data and uncertainty, and strong communication skills (in written, oral and visual forms). People with these skills are in high demand.
Statisticians use their deep understanding of mathematics and probability theory to reason about variation and uncertainty in data. For example, if a drug was observed to have a positive effect on patient outcomes in a clinical trial, was that effect large enough—given the sample size and assumptions about how the data was collected—to justify concluding that the drug actually worked? Statisticians build, validate and interpret models. They design experiments and collaborate with scientists of all stripes to make precise estimates of unknown quantities.
Data science is an emerging field that combines elements of mathematics, statistics and computer science to extract meaning from data. Data scientists work with large, complex, messy and live data sources. Often working on questions that are not well-defined, data scientists use their creativity and technical ability to dig deep into "Big Data." They build models, make predictions, and develop static and dynamic ways to visualize data.
While at Smith College, statistics students have created innovative classroom activities, authored honored theses, developed sophisticated statistical software and contributed to the Office of Institutional Research.
Programme Structure
Courses include:
- Statistical Thinking
- Communicating with Data
- Data and Social Justice
- Data Science
- Statistical Methods for Undergraduates
- Probability and Statistics
- Visual Analytics
- Data Journalism
- Data Ethnography
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Northampton, United States
Disciplines
Statistics Data Science & Big Data View 460 other Bachelors in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Common Application or Coalition Application
- Smith Writing Supplement
- Secondary School Report, including official high school transcript
- Counselor Recommendation
- Two Teacher Evaluation Forms
- Official SAT I, ACT, TOEFL, IELTS, PTE or the Duolingo English Test/*DET*
- Early Decision Agreement (if applicable)
Tuition Fees
-
International Applies to you
Applies to youNon-residents67140 USD / year≈ 67140 USD / year - Out-of-State67140 USD / year≈ 67140 USD / year
-
Domestic
Applies to youIn-State67140 USD / year≈ 67140 USD / year
Living costs
Northampton
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Statistical and 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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