Overview
The Data Science programme at South Dakota State University provides graduates with the essential statistical, mathematical and computational skills required to address modern large-scale data challenges. This comprehensive curriculum ensures students can leverage the power of information to assist various organisations in making informed, evidence-based decisions. By focusing on practical problem-solving, the course bridges the gap between theoretical mathematics and professional application.
Why Data Science at South Dakota State University?
This programme is specifically designed for logical thinkers who enjoy intellectual challenges and want their work to make a tangible difference in society. South Dakota State University offers a streamlined, one-year path to mastery, making it an efficient choice for those looking to enter the workforce quickly. The curriculum is tailored to ensure graduates are valuable to a wide range of potential employers across business, government and research sectors.
Tuition Fee Breakdown
- International fee: USD 673 per credit
- National fee: USD 673 per credit
- Local fee: USD 484 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
- Operations Research
- Applied Bayesian Statistics
- Predictive Analytics
- Statistical Inference
- Regression Analysis
- Multivariate analysis
- Statistical Computing and Simulation
Careers with Data Science
Graduates are well-equipped for a diverse array of professional paths in data-driven industries. The skills acquired during the programme allow individuals to pursue roles that involve predictive modelling, risk assessment and strategic analysis. Common career destinations for alumni include positions such as:
- Data Scientist
- Predictive Analyst
- Statistician
- Financial or Business Analyst
- Risk Analyst
- Credit Analyst
- Supply Chain Analyst
- Actuary
These roles span multiple sectors, reflecting the universal demand for experts who can interpret complex datasets to drive organisational success. Whether working in finance, logistics or public policy, graduates possess the technical proficiency to excel in the global job market.
Programme Structure
Courses include:
- Data Science
- Cyber Security
- Computer Science
- Web Technologies
- Cloud Computing
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Brookings, United States
Disciplines
Data Science & Big Data View 196 other Masters in Data Science & Big Data in United StatesWhat students do after studying
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
- The application must include the application fee, all post-secondary transcripts, degree certificate, and other materials as required by specific programs before processing of the application will begin.
- Master’s degree applicants must have an approved Bachelor’s degree from an accredited institution (except in approved/accelerated programs). Domestic, international or non-degree seeking students may submit an application online.
Tuition Fees
-
International Applies to you
Applies to youNon-residents20190 USD / year≈ 20190 USD / year - Out-of-State20190 USD / year≈ 20190 USD / year
-
Domestic
Applies to youIn-State14520 USD / year≈ 14520 USD / year
Additional Details
- Online Tuition: $470.45
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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