Overview
Almost all human activity in the world today is measured and recorded as data. Whether we are listening to music, streaming shows, making a doctor’s appointment or booking a flight – we are generating data.
Analyzing that data can vastly improve human lives and business performance. So, it’s not surprising that data analytics is now used routinely even in fields not traditionally associated with data – including the arts, music and creative writing. Data analysts are also highly valued and sought after in business, government, health care, education, social welfare, engineering and manufacturing.
Wherever you want to make your mark on the world, a career in data analytics can help you do it.
With the Data Analytics and Applied Artificial Intelligence course at University of Wisconsin Milwaukee, you will learn:
- The foundations of analysis – this involves calculus, statistics, data mining and computer programming.
- How to apply data to solving real-world problems.
- The communications skills critical for presenting data in a professional setting.
Careers
It’s not just tech companies like Google or Facebook that need skilled employees who can work with data. All industries rely on and use data to make important decisions. Manufacturers need to understand the demand for their product and the shopping habits of their customers. The service sector needs to understand product variations and pricing – for example, airlines that need to schedule different routes and different pricing option for a single flight. Retailers need to understand traffic patterns of in-store shoppers to site new locations. Consulting firms need to crunch data related to the behavior of voters, future college students, and consumers of news so they can best advise their clients. And tech companies need to understand the browsing styles of online users.
Programme Structure
Courses include:
- Oral and Written Communication
- Quantitative Literacy
- Arts
- Humanities
- Natural Sciences
- Social Sciences
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
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Credits
Delivered
Campus Location
- Milwaukee, United States
Disciplines
Artificial Intelligence Data Analytics View 178 other Bachelors in Artificial Intelligence 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
- The bachelor’s application requirements include uploaded copies of transcripts and degree certificates. Applicants should upload copies into their application online.
- Admitted students will be required to provide the original documents to upon arrival to campus. There is no need to mail anything directly to UWM during the application process.
- Provide transcripts for all study, including secondary/high school and all university/college study. If the transcript is not issued in English, include an English translation.
Tuition Fees
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International Applies to you
Applies to youNon-residents22247 USD / year≈ 22247 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
UWM offers a scholarship for international students up to $6,000 per year. Additionally, students get paid to participate in research on campus, find on-campus employment, and apply for additional scholarships.
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Analytics and Applied Artificial Intelligence.
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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