Overview
The M.Sc. in Information Technology Management - AI and Data Analytics at the University of Wisconsin Milwaukee provides a comprehensive blend of technical expertise and managerial strategy. This innovative programme is designed to equip students with the specialised skills necessary to navigate the complexities of artificial intelligence and big data within a corporate framework.
Students engage with a curriculum that bridges the gap between information technology and business intelligence. The programme serves both career changers and established IT professionals looking to deepen their technical knowledge or prepare for doctoral-level research. By focusing on real-world problem solving, the course ensures graduates can identify critical issues and implement effective digital solutions.
Why Information Technology Management - AI and Data Analytics at University of Wisconsin Milwaukee?
The programme is hosted by the Lubar College of Business, offering a STEM-designated curriculum that meets the high demand for data-literate leaders. Students benefit from a faculty-led advisory system where a major professor monitors academic progress and helps tailor the programme of study to individual career goals. The college emphasises analytical skills, financial analysis, and the practical application of consumer behaviour theories.
Tuition Fee Breakdown
- International fee: USD 27090 per year
- National fee: USD 27090 per year
- Local fee: USD 13659 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 credits, split between core requirements and specialised concentration electives. Modules may include:
- Information Privacy, Security & Continuity
- Information Technology Strategy and Management
- Service-Oriented Analysis and Design
- Data and Information Management
- Web-Based Solutions
- Web Mining and Analytics
- Big Data in Business
- Artificial Intelligence for Business
- Machine Learning for Business
Careers with Information Technology Management - AI and Data Analytics
Graduates are prepared for advanced roles in corporate, government, and non-profit sectors. The programme focuses on developing the ability to research complex topics and present data-driven conclusions to stakeholders. Common career paths include positions in business intelligence, data science management, and IT strategic leadership. The rigorous training in AI and analytics ensures that alumni are competitive for high-level technical and managerial roles in the global digital economy.
Programme Structure
Courses include:
- Information Privacy, Security & Continuity
- Information Technology Strategy and Management
- Service-Oriented Analysis and Design
- Data and Information Management
- Development of Web-Based Solutions
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before
-
- Starting
- Apply before
-
Priority deadlines. Applications will continue to be accepted after these dates.
Language
Credits
Delivered
Campus Location
- Milwaukee, United States
Disciplines
Artificial Intelligence IT Management Data Analytics View 203 other Masters in Artificial Intelligence in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- Applicants must hold a degree from a regionally accredited undergraduate institution in the United States or from a recognized institution in a foreign country
- Cumulative GPA of 2.75
- English Proficiency for International Students
Tuition Fees
-
International Applies to you
Applies to youNon-residents27090 USD / year≈ 27090 USD / year - Out-of-State27090 USD / year≈ 27090 USD / year
-
Domestic
Applies to youIn-State13659 USD / year≈ 13659 USD / year
Living costs
Milwaukee
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
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 Information Technology Management - AI and Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility