Overview
The Master of Science in Data Science and Analytics at the University of Missouri - Kansas City (UMKC) provides an in-depth exploration of data science principles, preparing students for a dynamic career in this rapidly evolving field. This programme is designed for individuals seeking to harness the power of data to solve complex problems and inform decision-making across various sectors.
Why Data Science and Analytics at University of Missouri - Kansas City?UMKC is recognised for its commitment to academic excellence and innovative research. The university boasts strong partnerships with industry leaders, providing students with unique opportunities for collaboration and networking. Additionally, the School of Science and Engineering features state-of-the-art facilities, ensuring that students have access to the latest technology and resources in data science.
Tuition Fee BreakdownThe tuition fees for the Data Science and Analytics programme are as follows:
- International Fee: USD 1,286 per credit
- National Fee: USD 1,286 per credit
- Local Fee: USD 512 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the Master of Science in Data Science and Analytics includes a combination of required and elective courses, totalling 30 credits. The required coursework comprises:
- Principles of Data Science
- Principles of Big Data Management
- Introduction to Machine Learning
- Deep Learning
- Data Science Capstone
Students may also choose from a variety of electives, such as:
- Cloud Computing
- Big Data Analytics and Applications
- Advanced 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
This comprehensive syllabus ensures that students are well-prepared to tackle real-world data challenges and excel in their careers.
Careers with Data Science and AnalyticsGraduates of the Data Science and Analytics programme at UMKC are well-equipped to pursue various career paths in diverse industries. Alumni have found success in roles such as data analysts, data scientists, and business intelligence specialists. They are employed by leading organisations in sectors such as technology, finance, healthcare, and government, where they apply their skills to drive data-informed decision-making.
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
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
- 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
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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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