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Overview
The Data Analytics program of the Alliant International University provides every graduate student with hands-on experience, teaches valuable analytical skills and technical skills through real-world applications, and ensures that they’re fully prepared to become a working professional in the business world. Some of the topics we explore in our core courses include: predictive analytics and predictive modeling, data visualization, multi-dimensional data structures, and the fundamentals of algorithm design.
Degree Highlights
From Class to Corporate
The Master’s in Data Analytics program offers students the opportunity to use their education in a real-world organization. Within your chosen industry, Alliant will help pair you with regional or international companies to attain direct professional development that may take the form of internships or other opportunities.
Cooperative Schedule
This program was created to provide maximum flexibility for working professionals, with the option to attend weekly, on-campus meetings in the evenings, or the option to complete the program online.
Honors Program
Students have the opportunity to participate in a research project for authorship and publication in a peer reviewed outlet through the school’s technology and quantitative analysis programs.
What kind of job can I expect to get with this degree?
Graduates of our Master’s in Data Analytics degree program can expect to join a career in the above-mentioned positions, but, there are other options for those who wish to use their skills in a different context or setting. Those with an MS in Data Analytics could also build a career in the following fields: data scientist, management analyst, consultant, project manager, logistician, data architect, big data engineer, data mining engineer, qualitative analyst, and analytic modeler. These are just a few of the options available to you once you receive your MS in Data Analytics degree.
Programme Structure
Courses include:
- Data and Decision Algorithms
- Database Design Principles and Technologies
- Architectures and Methods for Data Mining
- Big Data Tools
- Data Analytics and Decision Making
- Advanced Programming with Python
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
IELTS 6
TOEFL® IBT 70
Credits
33 alternative credits
Delivered
On Campus
Disciplines
Business Intelligence & Analytics Data Science & Big Data View 475 other Masters in Business Intelligence & Analytics in United StatesAcademic requirements
GPA 3
English requirements
IELTS 6
TOEFL® IBT 70
Other requirements
General requirements
- Prospective students must submit an online application along with a non-refundable $65 application fee
- All graduate applicants must possess a minimum cumulative GPA of 3.0 on a 4.0 scale unless otherwise stated in the program entry requirements
- Applicants are required to submit official transcripts from all degree-granting institutions attended. Applicants must possess at least a Bachelor's degree or higher from an institution of higher education that is regionally accredited in the U.S. (or its international equivalent
- All applicants are required to submit a current resume or curriculum vitae detailing their professional experience.
- Two recommendations are required for all applicants.
- For most programs, an interview with a Program Director or Faculty is required.
- An admissions essay is required of all applicants.
Tuition Fee
To alway see correct tuition fees
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International
11962 USD/yearTuition FeeBased on the tuition of 725 USD per credit during 24 months. -
National
11962 USD/yearTuition FeeBased on the tuition of 725 USD per credit during 24 months.
Living costs for Poway
1100 - 1600 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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