Overview
The Data Science and Analytics programme at the University of Missouri - Kansas City provides students with the sophisticated technical skills required to solve complex data challenges. This curriculum ensures that graduates can effectively apply state-of-the-art tools and methodologies within professional environments.
Students engage with a rigorous academic framework that emphasises both theoretical understanding and practical application. The course is designed to foster collaborative skills, enabling participants to work efficiently within multidisciplinary teams to deliver data-driven solutions.
The learning environment encourages the mastery of modern techniques in the field, ensuring that every graduate can demonstrate advanced knowledge of data structures.
Tuition Fee Breakdown
- International fee: USD 1351 per credit
- National fee: USD 1351 per credit
- Local fee: USD 538 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of core requirements and a variety of elective options to tailor the learning experience. Modules may include:
- Data Science
- Big Data Management
- Machine Learning
- Deep Learning
- Data Science Capstone
- Cloud Computing
- Big Data Analytics and Applications
- Software Engineering
- Knowledge Discovery and Management
- Information Security and Assurance
- Computer Vision
- Special Topics
- Directed Readings
- Mathematical Methods in Data Science
- Business Analytics and Statistics
- Intermediate Business Analytics
- Predictive Analytics Using R
- Statistical Design Of Experiments
- Time Series Analysis
Careers with Data Science and Analytics
Graduates of this programme are equipped to pursue high-level positions across various industries that rely on data-driven decision-making. The advanced training in machine learning and big data management prepares students for roles in technology, finance, and research.
By mastering state-of-the-art tools, alumni can seek employment as data scientists, analytical consultants, or systems architects. The focus on practical problem-solving ensures that graduates are ready to contribute to innovation in both the public and private sectors.
Programme Structure
Courses include:
- Principles of Data Science
- Principles of Big Data Management
- Statistical Learning
- Deep Learning
- Data Science Capstone
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
All dates are rolling for domestic students
Language
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Credits
Delivered
Campus Location
- Kansas City, United States
Disciplines
Data Science & Big Data Data Analytics View 400 other Masters in Data Analytics 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
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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 satisfactory academic record as defined by your degree program.
- A bachelor’s or first-level professional degree from a regionally accredited institution.
Tuition Fees
-
International Applies to you
Applies to youNon-residents40530 USD / year≈ 40530 USD / year - Out-of-State40530 USD / year≈ 40530 USD / year
-
Domestic
Applies to youIn-State16140 USD / year≈ 16140 USD / year
Living costs
Kansas City
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 Master's scholarship opportunities for Data Science and Analytics.
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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