Overview
The Data Analytics master degree at Kansas State University provides students with the essential skills to collect, interpret, and apply complex data sets to solve modern industrial challenges. This comprehensive programme bridges the gap between technical data science and practical business application, ensuring graduates can guide high-level decision-making processes. By studying in a fully digital environment, students gain expertise in mining information and communicating insights effectively within any professional organisation.
Why Data Analytics at Kansas State University?
Kansas State University offers a robust curriculum that integrates diverse disciplines, including econometrics, marketing, and computer science. The programme is designed for maximum flexibility, allowing students to balance their professional commitments while gaining a qualification from a respected institution. With a focus on both theoretical foundations and practical problem-solving, the university ensures that learners are equipped with the tools necessary to navigate the rapidly evolving landscape of big data.
Tuition Fee Breakdown
- International fee: USD 707 per credit
- National fee: USD 707 per credit
- Local fee: USD 707 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of core requirements and specialised tracks. Modules may include:
- Programming Techniques for Data Science and Analytics
- Econometrics
- Big Data Analytics
- Business Analytics and Data Mining
- Social Media Analytics and Web Mining
- Information Technology Strategy and Application
- Applied Marketing Analytics
- Artificial Intelligence
- Machine Learning and Pattern Recognition
Careers with Data Analytics
Graduates are prepared for a wide variety of high-impact roles across multiple sectors. The programme develops the analytical rigour required for positions such as data scientist, business intelligence analyst, and predictive analyst. Many former students find success as quantitative analysts, data engineers, or data visualisation specialists. Additionally, the skills acquired are highly transferable to roles in market research, operations analysis, and management consultancy, where data-driven strategies are paramount for organisational success.
Programme Structure
Courses include:
- Topics in Computer Science
- Big Data Analytics
- Information Technology Strategy and Application
- Business Analytics and Data Mining
- Social Media Analytics and Web Mining
- Applied Marketing Analytics
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
- National: Applications are accepted year-round. Applicants should plan to apply within two to three months from the start of the semester.
Language
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Credits
Delivered
Campus Location
- Manhattan, United States
Disciplines
Data Analytics View 216 other Masters in Data Analytics 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
- Bachelor’s degree with a 3.0 minimum GPA in the final two years or approximately the last 60 credit hours
- Statement of objectives
- Resume/curriculum vitae
- Names and emails of three professional and/or academic references
- Unofficial transcripts from each institution attended
Tuition Fees
-
International Applies to you
Applies to youNon-residents21210 USD / year≈ 21210 USD / year - Out-of-State21210 USD / year≈ 21210 USD / year
-
Domestic
Applies to youIn-State21210 USD / year≈ 21210 USD / year
Additional Details
$578.04 - $840.84 per credit hour
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 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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